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HomeCompanies524326BE10E0F901EF936F501E5144B0Director of Product Development

Director of Product Development

524326BE10E0F901EF936F501E5144B0 · CMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA · Active · Paycom ATS

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FieldValue
Company524326BE10E0F901EF936F501E5144B0
TitleDirector of Product Development
Normalized title-
Department / team-
LocationDublin, OH, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerPaycom ATS
Posted / first seen2026-06-03 / 2026-06-04
Changed / last seen2026-06-04 / 2026-06-06

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Company524326BE10E0F901EF936F501E5144B0
Source2f6eca88-71a4-46b9-aee8-5e1a8e509087
ATS providerPaycom ATS

Description

Description ESSENTIAL DUTIES Product Vision & AMMI Platform Leadership Own the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit. Define and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility. Serve as the internal champion for AMMI—articulating the platform’s value to internal stakeholders, leadership, and external partners. Establish product governance and sprint cadence frameworks that align development velocity with enterprise priorities. Translate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage. Drive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities. AI Strategy & Innovation Co-own EASE’s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured. Lead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities. Build AMMI as a genuinely AI-native platform—embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack. Champion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration. Stay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments. Establish EASE’s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement. Build, Buy, & Partner Decisions Own the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability. Lead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development. Evaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps. Ensure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria. Maintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit. Resource Strategy & Team Leadership Lead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow. Design and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost. Manage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team. Define onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model. Partner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources. Data Science & Analytics Own EASE’s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action. Lead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within AMMI. Establish a data product strategy that treats EASE’s proprietary data as a strategic asset—defining how it is captured, structured, surfaced, and operationalized. Champion the use of data and experimentation in product decision-making, embedding A/B testing, analytics instrumentation, and model performance monitoring into the development lifecycle. Ensure data science work is tightly connected to operational outcomes, with a clear line from model or feature to SPEED impact. Pricing Science & Predictive Cost Modeling Own the design, development, and continuous improvement of EASE's pricing science systems, including predictive cost models, dynamic rate engines, and margin optimization tools embedded within AMMI. Lead the development of carrier cost prediction and lane-level pricing models that enable EASE to price with speed, accuracy, and confidence across all freight modes and markets. Build and maintain a feedback loop between operational outcomes and pricing models—continuously retraining and improving model accuracy using real shipment, cost, and margin data. Partner with Sales, Operations, and Finance to ensure pricing science capabilities are integrated into quoting workflows, sales tools, and executive reporting. Build product capabilities that support and accelerate the RFP response process—enabling cost estimates to be generated faster, with greater accuracy, and with reduced manual processing effort. Establish model performance standards, drift monitoring, and governance practices that ensure pricing models remain accurate, explainable, and aligned with business objectives. SPEED Ownership & Product Performance Treat SPEED (Shipments Per Ease Employee Daily) as the defining product KPI—ensuring every feature, release, and investment decision is evaluated against its anticipated contribution to SPEED. Define product OKRs and delivery metrics that create a clear feedback loop between product development activity and measurable business outcomes. Establish release cadence and product performance review processes that drive continuous improvement and hold the roadmap accountable to quarterly targets. Partner with Operations and Sales to validate that new capabilities are adopted effectively and delivering intended value in the field. Report to the CSO and executive leadership on product performance, roadmap progress, development velocity, and SPEED contributions. Develop and maintain win/loss analytics capabilities within AMMI that give Sales and leadership accurate, timely insight into bid outcomes, pricing competitiveness, and revenue conversion patterns. Cross-Functional Collaboration Partner closely with the VP, Technology to ensure seamless alignment between new product development and the underlying systems, infrastructure, and internal tools that support them. Collaborate with Sales, Customer Operations, and Marketing to ensure AMMI capabilities are understood, positioned, and adopted effectively. Serve as a bridge between the technical and business domains—translating complex product and AI concepts into clear commercial and operational narratives for non-technical stakeholders. Contribute to EASE’s go-to-market strategy by providing technical and product depth for sales enablement, RFP responses, and customer engagements where AMMI is a differentiator. Partner with Sales and Operations to embed RFP response tooling into AMMI workflows, reducing the time and manual effort required to produce competitive, data-backed bids. KPIs, Performance & Measurement Define, monitor, and enforce accountability for KPIs related to system performance, uptime, project delivery, security, and deliverable outcomes. Responsible for tracking product budget, forecasting, and spend. Use data-driven insights to guide decision-making and continuous improvement . Leadership and Supervisory Responsibilities Lead and mentor the Product Development function, including internal engineers, product managers, data scientists, and external development resources. Establish a high-accountability team culture grounded in EASE’s manifesto: execution is necessary, results are mandatory. Create and maintain clear performance expectations, sprint cadences, and delivery commitments for all product development resources. Partner with the executive team to ensure product strategy is tightly integrated with corporate strategy, commercial priorities, and operational goals. Submit monthly leadership reports no later than the 7th calendar day of the following month. Provide regular reporting to the CSO and executive leadership on product roadmap status, development velocity, resource utilization, and SPEED impact. Build organizational capability by developing internal talent and structuring the team for scale as EASE grows. Responsible for tracking product budget, forecasting, and spend. Establish KPI’s for each individual on the product development team, establish AI adoption KPI’s to ensure and track ROI on projects and deliverables. Qualifications Qualifications : Education Bachelor’s degree in computer science, data science, software engineering, information technology, or related technical field required. Master’s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred. Relevant product management, AI/ML, or cloud certifications are a plus. Experience 10+ years of progressive experience in product management, product development, or software engineering, with at least 3–5 years in a senior leadership role. Demonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries. Proven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns. Experience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors. Track record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment. Experience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems). Experience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery. Demonstrated ability to translate business strategy into product requirements and measurable outcomes. Experience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight. Knowledge, Skills, & Abilities Deep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks. Strong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms. Familiarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. Ability to architect and manage a blended internal/external development model, with strong vendor and contractor management skills. Strong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks. Excellent leadership, communication, and cross-functional stakeholder management skills. Entrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment. Strong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences. Mindset of continuous improvement and a genuine passion for building products that deliver Ability to translate complex technical information into actionable business strategies. Excellent leadership, communication, and stakeholder management skills. Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Ability to prioritize tasks and manage time effectively in a fast-paced environment.

Full job record

Job ID32c5b4876be279b83077a3d7defbedf591c8792e
Org ID91e9e8ed-f2ca-4f9b-b74f-3b40efeb3276
Source ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Board ID2f6eca88-71a4-46b9-aee8-5e1a8e509087
Providerpaycom
Provider Job Key343323
TitleDirector of Product Development
Normalized Title
Statusactive
Activeyes
Location TextCMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA
Department
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionOH
CityDublin
Salary RawDescription ESSENTIAL DUTIES Product Vision & AMMI Platform Leadership Own the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit. Define and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility. Serve as the internal champion for AMMI—articulating the platform’s value to internal stakeholders, leadership, and external partners. Establish product governance and sprint cadence frameworks that align development velocity with enterprise priorities. Translate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage. Drive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities. AI Strategy & Innovation Co-own EASE’s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured. Lead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities. Build AMMI as a genuinely AI-native platform—embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack. Champion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration. Stay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments. Establish EASE’s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement. Build, Buy, & Partner Decisions Own the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability. Lead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development. Evaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps. Ensure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria. Maintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit. Resource Strategy & Team Leadership Lead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow. Design and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost. Manage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team. Define onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model. Partner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources. Data Science & Analytics Own EASE’s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action. Lead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within AMMI. Establish a data product strategy that treats EASE’s proprietary data as a strategic asset—defining how it is captured, structured, surfaced, and operationalized. Champion the use of data and experimentation in product decision-making, embedding A/B testing, analytics instrumentation, and model performance monitoring into the development lifecycle. Ensure data science work is tightly connected to operational outcomes, with a clear line from model or feature to SPEED impact. Pricing Science & Predictive Cost Modeling Own the design, development, and continuous improvement of EASE's pricing science systems, including predictive cost models, dynamic rate engines, and margin optimization tools embedded within AMMI. Lead the development of carrier cost prediction and lane-level pricing models that enable EASE to price with speed, accuracy, and confidence across all freight modes and markets. Build and maintain a feedback loop between operational outcomes and pricing models—continuously retraining and improving model accuracy using real shipment, cost, and margin data. Partner with Sales, Operations, and Finance to ensure pricing science capabilities are integrated into quoting workflows, sales tools, and executive reporting. Build product capabilities that support and accelerate the RFP response process—enabling cost estimates to be generated faster, with greater accuracy, and with reduced manual processing effort. Establish model performance standards, drift monitoring, and governance practices that ensure pricing models remain accurate, explainable, and aligned with business objectives. SPEED Ownership & Product Performance Treat SPEED (Shipments Per Ease Employee Daily) as the defining product KPI—ensuring every feature, release, and investment decision is evaluated against its anticipated contribution to SPEED. Define product OKRs and delivery metrics that create a clear feedback loop between product development activity and measurable business outcomes. Establish release cadence and product performance review processes that drive continuous improvement and hold the roadmap accountable to quarterly targets. Partner with Operations and Sales to validate that new capabilities are adopted effectively and delivering intended value in the field. Report to the CSO and executive leadership on product performance, roadmap progress, development velocity, and SPEED contributions. Develop and maintain win/loss analytics capabilities within AMMI that give Sales and leadership accurate, timely insight into bid outcomes, pricing competitiveness, and revenue conversion patterns. Cross-Functional Collaboration Partner closely with the VP, Technology to ensure seamless alignment between new product development and the underlying systems, infrastructure, and internal tools that support them. Collaborate with Sales, Customer Operations, and Marketing to ensure AMMI capabilities are understood, positioned, and adopted effectively. Serve as a bridge between the technical and business domains—translating complex product and AI concepts into clear commercial and operational narratives for non-technical stakeholders. Contribute to EASE’s go-to-market strategy by providing technical and product depth for sales enablement, RFP responses, and customer engagements where AMMI is a differentiator. Partner with Sales and Operations to embed RFP response tooling into AMMI workflows, reducing the time and manual effort required to produce competitive, data-backed bids. KPIs, Performance & Measurement Define, monitor, and enforce accountability for KPIs related to system performance, uptime, project delivery, security, and deliverable outcomes. Responsible for tracking product budget, forecasting, and spend. Use data-driven insights to guide decision-making and continuous improvement . Leadership and Supervisory Responsibilities Lead and mentor the Product Development function, including internal engineers, product managers, data scientists, and external development resources. Establish a high-accountability team culture grounded in EASE’s manifesto: execution is necessary, results are mandatory. Create and maintain clear performance expectations, sprint cadences, and delivery commitments for all product development resources. Partner with the executive team to ensure product strategy is tightly integrated with corporate strategy, commercial priorities, and operational goals. Submit monthly leadership reports no later than the 7th calendar day of the following month. Provide regular reporting to the CSO and executive leadership on product roadmap status, development velocity, resource utilization, and SPEED impact. Build organizational capability by developing internal talent and structuring the team for scale as EASE grows. Responsible for tracking product budget, forecasting, and spend. Establish KPI’s for each individual on the product development team, establish AI adoption KPI’s to ensure and track ROI on projects and deliverables. Qualifications Qualifications : Education Bachelor’s degree in computer science, data science, software engineering, information technology, or related technical field required. Master’s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred. Relevant product management, AI/ML, or cloud certifications are a plus. Experience 10+ years of progressive experience in product management, product development, or software engineering, with at least 3–5 years in a senior leadership role. Demonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries. Proven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns. Experience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors. Track record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment. Experience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems). Experience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery. Demonstrated ability to translate business strategy into product requirements and measurable outcomes. Experience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight. Knowledge, Skills, & Abilities Deep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks. Strong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms. Familiarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. Ability to architect and manage a blended internal/external development model, with strong vendor and contractor management skills. Strong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks. Excellent leadership, communication, and cross-functional stakeholder management skills. Entrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment. Strong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences. Mindset of continuous improvement and a genuine passion for building products that deliver Ability to translate complex technical information into actionable business strategies. Excellent leadership, communication, and stakeholder management skills. Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Ability to prioritize tasks and manage time effectively in a fast-paced environment.
Salary Min
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Salary Currency
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Source URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=343323&clientkey=524326BE10E0F901EF936F501E5144B0
Apply URLhttps://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=343323&clientkey=524326BE10E0F901EF936F501E5144B0
First Seen At2026-06-04 10:02:04Z
Last Seen At2026-06-06 19:45:21Z
Last Checked At2026-06-06 19:45:21Z
Last Changed At2026-06-04 10:02:04Z
Inactive At
Source Posted At2026-06-03 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=524326BE10E0F901EF936F501E5144B0/date=2026-06-06/2026-06-06T19-45-19-647Z-07693d1888430fc5db6db3f42189b9e821b9103c4b1367d7d0e9fc726a55afce.json
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    "description": "<p><span style=\"font-size:11pt;\"><span><span style=\"font-family:Barlow;\"><b><u>ESSENTIAL DUTIES</u></b></span></span></span></p>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Product Vision &amp; AMMI Platform Leadership</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Own the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Define and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Serve as the internal champion for AMMI&mdash;articulating the platform&rsquo;s value to internal stakeholders, leadership, and external partners.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish product governance and sprint cadence frameworks that align development velocity with enterprise priorities.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Translate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Drive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">AI Strategy &amp; Innovation</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Co-own EASE&rsquo;s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Build AMMI as a genuinely AI-native platform&mdash;embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Champion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Stay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish EASE&rsquo;s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Build, Buy, &amp; Partner Decisions</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Own the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Evaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Ensure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Maintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Resource Strategy &amp; Team Leadership</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Design and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Manage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Define onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Data Science &amp; Analytics</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Own EASE&rsquo;s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within AMMI.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish a data product strategy that treats EASE&rsquo;s proprietary data as a strategic asset&mdash;defining how it is captured, structured, surfaced, and operationalized.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Champion the use of data and experimentation in product decision-making, embedding A/B testing, analytics instrumentation, and model performance monitoring into the development lifecycle.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Ensure data science work is tightly connected to operational outcomes, with a clear line from model or feature to SPEED impact.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Pricing Science &amp; Predictive Cost Modeling</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Own the design, development, and continuous improvement of EASE&#39;s pricing science systems, including predictive cost models, dynamic rate engines, and margin optimization tools embedded within AMMI.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead the development of carrier cost prediction and lane-level pricing models that enable EASE to price with speed, accuracy, and confidence across all freight modes and markets.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Build and maintain a feedback loop between operational outcomes and pricing models&mdash;continuously retraining and improving model accuracy using real shipment, cost, and margin data.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner with Sales, Operations, and Finance to ensure pricing science capabilities are integrated into quoting workflows, sales tools, and executive reporting.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Build product capabilities that support and accelerate the RFP response process&mdash;enabling cost estimates to be generated faster, with greater accuracy, and with reduced manual processing effort.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish model performance standards, drift monitoring, and governance practices that ensure pricing models remain accurate, explainable, and aligned with business objectives.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">SPEED Ownership &amp; Product Performance</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Treat SPEED (Shipments Per Ease Employee Daily) as the defining product KPI&mdash;ensuring every feature, release, and investment decision is evaluated against its anticipated contribution to SPEED.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Define product OKRs and delivery metrics that create a clear feedback loop between product development activity and measurable business outcomes.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish release cadence and product performance review processes that drive continuous improvement and hold the roadmap accountable to quarterly targets.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner with Operations and Sales to validate that new capabilities are adopted effectively and delivering intended value in the field.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Report to the CSO and executive leadership on product performance, roadmap progress, development velocity, and SPEED contributions.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Develop and maintain win/loss analytics capabilities within AMMI that give Sales and leadership accurate, timely insight into bid outcomes, pricing competitiveness, and revenue conversion patterns.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Cross-Functional Collaboration</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner closely with the VP, Technology to ensure seamless alignment between new product development and the underlying systems, infrastructure, and internal tools that support them.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Collaborate with Sales, Customer Operations, and Marketing to ensure AMMI capabilities are understood, positioned, and adopted effectively.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Serve as a bridge between the technical and business domains&mdash;translating complex product and AI concepts into clear commercial and operational narratives for non-technical stakeholders.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Contribute to EASE&rsquo;s go-to-market strategy by providing technical and product depth for sales enablement, RFP responses, and customer engagements where AMMI is a differentiator.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner with Sales and Operations to embed RFP response tooling into AMMI workflows, reducing the time and manual effort required to produce competitive, data-backed bids.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<p class=\"Default\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><b><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">KPIs, Performance &amp; Measurement</span></span></b></span></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Define, monitor, and enforce accountability for KPIs related to system performance, uptime, project delivery, security, and deliverable outcomes.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Responsible for tracking product budget, forecasting, and spend. </span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Use data-driven insights to guide decision-making and continuous improvement</span></span>.</span></span></span></span></li>\r\n</ul>\r\n\r\n<p><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><b><u><span style=\"text-transform:uppercase;\">Leadership and Supervisory Responsibilities</span></u></b></span></span></p>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Lead and mentor the Product Development function, including internal engineers, product managers, data scientists, and external development resources.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Establish a high-accountability team culture grounded in EASE&rsquo;s manifesto: execution is necessary, results are mandatory.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Create and maintain clear performance expectations, sprint cadences, and delivery commitments for all product development resources.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Partner with the executive team to ensure product strategy is tightly integrated with corporate strategy, commercial priorities, and operational goals.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Submit monthly leadership reports no later than the 7th calendar day of the following month.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Provide regular reporting to the CSO and executive leadership on product roadmap status, development velocity, resource utilization, and SPEED impact.</span></span></span></span></span></span></li>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Build organizational capability by developing internal talent and structuring the team for scale as EASE grows.</span></span></span></span></span></span></li>\r\n</ul>\r\n\r\n<ul>\r\n\t<li class=\"Default\" style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Responsible for tracking product budget, forecasting, and spend. </span></span></span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Barlow;\"><span style=\"font-size:11pt;\">Establish KPI&rsquo;s for each individual on the product development team, establish AI adoption KPI&rsquo;s to ensure and track ROI on projects and deliverables. </span></span></span></li>\r\n</ul>\r\n",
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        "summary": "ESSENTIAL%20DUTIES%0D%0A%0D%0AProduct%20Vision%20%26%20AMMI%20Platform%20Leadership%0D%0A%0D%0A%0D%0A%09Own%20the%20product%20vision%2C%20strategy%2C%20and%20multi-year%20roadmap%20for%20AMMI%2C%20ensuring%20it%20evolves%20into%20an%20industry-leading%2C%20AI-enabled%20logistics%20toolkit.%0D%0A%09Define%20and%20prioritize%20the%20product%20backlog%20based%20on%20SPEED%20impact%2C%20business%20value%2C%20customer%20need%2C%20and%20technical%20feasibility.%0D%0A%09Serve%20as%20the%20internal%20champion%20for%20AMMI%E2%80%94articulating%20the%20platform%E2%80%99s%20value%20to%20internal%20stakeholders%2C%20leadership%2C%20and%20external%20partners.%0D%0A%09Establish%20product%20governance%20and%20sprint%20cadence%20frameworks%20that%20align%20development%20velocity%20with%20enterprise%20priorities.%0D%0A%09Translate%20the%20EASE%20growth%20strategy%20into%20a%20phased%2C%20deliverable-driven%20product%20roadmap%20with%20measurable%20outcomes%20tied%20to%20SPEED%2C%20customer%20retention%2C%20and%20operational%20leverage.%0D%0A%09Drive%20product%20discovery%20and%20user%20research%20processes%20to%20ensure%20AMMI%20capabilities%20are%20built%20in%20response%20to%20real%20operational%20needs%20and%20market%20opportunities.%0D%0A%0D%0A%0D%0AAI%20Strategy%20%26%20Innovation%0D%0A%0D%0A%0D%0A%09Co-own%20EASE%E2%80%99s%20enterprise%20AI..."
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    "googleJobJson": "{\"@context\":\"https://schema.org/\",\"@type\":\"JobPosting\",\"title\":\"Director of Product Development\",\"identifier\":\"J0QS13343323\",\"url\":\"https://www.paycomonline.net/v4/ats/web.php/portal/524326BE10E0F901EF936F501E5144B0/jobs/343323\",\"image\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=524326BE10E0F901EF936F501E5144B0\",\"datePosted\":\"2026-06-03\",\"description\":\"Job DetailsLevel: SeniorJob Location: CMH Operations Terminal - Dublin, OH 43016Position Type: Full TimeESSENTIAL DUTIES\\r\\n\\r\\nProduct Vision &amp; AMMI Platform Leadership\\r\\n\\r\\n\\r\\n\\tOwn the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit.\\r\\n\\tDefine and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility.\\r\\n\\tServe as the internal champion for AMMI&mdash;articulating the platform&rsquo;s value to internal stakeholders, leadership, and external partners.\\r\\n\\tEstablish product governance and sprint cadence frameworks that align development velocity with enterprise priorities.\\r\\n\\tTranslate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage.\\r\\n\\tDrive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities.\\r\\n\\r\\n\\r\\nAI Strategy &amp; Innovation\\r\\n\\r\\n\\r\\n\\tCo-own EASE&rsquo;s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured.\\r\\n\\tLead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities.\\r\\n\\tBuild AMMI as a genuinely AI-native platform&mdash;embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack.\\r\\n\\tChampion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration.\\r\\n\\tStay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments.\\r\\n\\tEstablish EASE&rsquo;s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement.\\r\\n\\r\\n\\r\\nBuild, Buy, &amp; Partner Decisions\\r\\n\\r\\n\\r\\n\\tOwn the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability.\\r\\n\\tLead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development.\\r\\n\\tEvaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps.\\r\\n\\tEnsure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria.\\r\\n\\tMaintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit.\\r\\n\\r\\n\\r\\nResource Strategy &amp; Team Leadership\\r\\n\\r\\n\\r\\n\\tLead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow.\\r\\n\\tDesign and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost.\\r\\n\\tManage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team.\\r\\n\\tDefine onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model.\\r\\n\\tPartner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources.\\r\\n\\r\\n\\r\\nData Science &amp; Analytics\\r\\n\\r\\n\\r\\n\\tOwn EASE&rsquo;s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action.\\r\\n\\tLead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within AMMI.\\r\\n\\tEstablish a data product strategy that treats EASE&rsquo;s proprietary data as a strategic asset&mdash;defining how it is captured, structured, surfaced, and operationalized.\\r\\n\\tChampion the use of data and experimentation in product decision-making, embedding A/B testing, analytics instrumentation, and model performance monitoring into the development lifecycle.\\r\\n\\tEnsure data science work is tightly connected to operational outcomes, with a clear line from model or feature to SPEED impact.\\r\\n\\r\\n\\r\\nPricing Science &amp; Predictive Cost Modeling\\r\\n\\r\\n\\r\\n\\tOwn the design, development, and continuous improvement of EASE&#39;s pricing science systems, including predictive cost models, dynamic rate engines, and margin optimization tools embedded within AMMI.\\r\\n\\tLead the development of carrier cost prediction and lane-level pricing models that enable EASE to price with speed, accuracy, and confidence across all freight modes and markets.\\r\\n\\tBuild and maintain a feedback loop between operational outcomes and pricing models&mdash;continuously retraining and improving model accuracy using real shipment, cost, and margin data.\\r\\n\\tPartner with Sales, Operations, and Finance to ensure pricing science capabilities are integrated into quoting workflows, sales tools, and executive reporting.\\r\\n\\tBuild product capabilities that support and accelerate the RFP response process&mdash;enabling cost estimates to be generated faster, with greater accuracy, and with reduced manual processing effort.\\r\\n\\tEstablish model performance standards, drift monitoring, and governance practices that ensure pricing models remain accurate, explainable, and aligned with business objectives.\\r\\n\\r\\n\\r\\nSPEED Ownership &amp; Product Performance\\r\\n\\r\\n\\r\\n\\tTreat SPEED (Shipments Per Ease Employee Daily) as the defining product KPI&mdash;ensuring every feature, release, and investment decision is evaluated against its anticipated contribution to SPEED.\\r\\n\\tDefine product OKRs and delivery metrics that create a clear feedback loop between product development activity and measurable business outcomes.\\r\\n\\tEstablish release cadence and product performance review processes that drive continuous improvement and hold the roadmap accountable to quarterly targets.\\r\\n\\tPartner with Operations and Sales to validate that new capabilities are adopted effectively and delivering intended value in the field.\\r\\n\\tReport to the CSO and executive leadership on product performance, roadmap progress, development velocity, and SPEED contributions.\\r\\n\\tDevelop and maintain win/loss analytics capabilities within AMMI that give Sales and leadership accurate, timely insight into bid outcomes, pricing competitiveness, and revenue conversion patterns.\\r\\n\\r\\n\\r\\nCross-Functional Collaboration\\r\\n\\r\\n\\r\\n\\tPartner closely with the VP, Technology to ensure seamless alignment between new product development and the underlying systems, infrastructure, and internal tools that support them.\\r\\n\\tCollaborate with Sales, Customer Operations, and Marketing to ensure AMMI capabilities are understood, positioned, and adopted effectively.\\r\\n\\tServe as a bridge between the technical and business domains&mdash;translating complex product and AI concepts into clear commercial and operational narratives for non-technical stakeholders.\\r\\n\\tContribute to EASE&rsquo;s go-to-market strategy by providing technical and product depth for sales enablement, RFP responses, and customer engagements where AMMI is a differentiator.\\r\\n\\tPartner with Sales and Operations to embed RFP response tooling into AMMI workflows, reducing the time and manual effort required to produce competitive, data-backed bids.\\r\\n\\r\\n\\r\\nKPIs, Performance &amp; Measurement\\r\\n\\r\\n\\r\\n\\tDefine, monitor, and enforce accountability for KPIs related to system performance, uptime, project delivery, security, and deliverable outcomes.\\r\\n\\tResponsible for tracking product budget, forecasting, and spend. \\r\\n\\tUse data-driven insights to guide decision-making and continuous improvement.\\r\\n\\r\\n\\r\\nLeadership and Supervisory Responsibilities\\r\\n\\r\\n\\r\\n\\tLead and mentor the Product Development function, including internal engineers, product managers, data scientists, and external development resources.\\r\\n\\tEstablish a high-accountability team culture grounded in EASE&rsquo;s manifesto: execution is necessary, results are mandatory.\\r\\n\\tCreate and maintain clear performance expectations, sprint cadences, and delivery commitments for all product development resources.\\r\\n\\tPartner with the executive team to ensure product strategy is tightly integrated with corporate strategy, commercial priorities, and operational goals.\\r\\n\\tSubmit monthly leadership reports no later than the 7th calendar day of the following month.\\r\\n\\tProvide regular reporting to the CSO and executive leadership on product roadmap status, development velocity, resource utilization, and SPEED impact.\\r\\n\\tBuild organizational capability by developing internal talent and structuring the team for scale as EASE grows.\\r\\n\\r\\n\\r\\n\\r\\n\\tResponsible for tracking product budget, forecasting, and spend. \\r\\n\\tEstablish KPI&rsquo;s for each individual on the product development team, establish AI adoption KPI&rsquo;s to ensure and track ROI on projects and deliverables. \\r\\n\\r\\nQualificationsQualifications: \\r\\n\\r\\nEducation\\r\\n\\r\\n\\r\\n\\tBachelor&rsquo;s degree in computer science, data science, software engineering, information technology, or related technical field required.\\r\\n\\tMaster&rsquo;s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred.\\r\\n\\tRelevant product management, AI/ML, or cloud certifications are a plus.\\r\\n\\r\\n\\r\\nExperience\\r\\n\\r\\n\\r\\n\\t10+ years of progressive experience in product management, product development, or software engineering, with at least 3&ndash;5 years in a senior leadership role.\\r\\n\\tDemonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries.\\r\\n\\tProven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns.\\r\\n\\tExperience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors.\\r\\n\\tTrack record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment.\\r\\n\\tExperience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems).\\r\\n\\tExperience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery.\\r\\n\\tDemonstrated ability to translate business strategy into product requirements and measurable outcomes.\\r\\n\\tExperience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight.\\r\\n\\r\\n\\r\\nKnowledge, Skills, &amp; Abilities\\r\\n\\r\\n\\r\\n\\tDeep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks.\\r\\n\\tStrong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms.\\r\\n\\tFamiliarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. \\r\\n\\tAbility to architect and manage a blended internal/external development model, with strong vendor and contractor management skills.\\r\\n\\tStrong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks.\\r\\n\\tExcellent leadership, communication, and cross-functional stakeholder management skills.\\r\\n\\tEntrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment.\\r\\n\\tStrong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences.\\r\\n\\tMindset of continuous improvement and a genuine passion for building products that deliver \\r\\n\\tAbility to translate complex technical information into actionable business strategies. \\r\\n\\tExcellent leadership, communication, and stakeholder management skills.\\r\\n\\tStrong communication and interpersonal skills, with the ability to work effectively in a team environment.\\r\\n\\tAbility to prioritize tasks and manage time effectively in a fast-paced environment.\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\",\"responsibilities\":\"ESSENTIAL DUTIES\\r\\n\\r\\nProduct Vision &amp; AMMI Platform Leadership\\r\\n\\r\\n\\r\\n\\tOwn the product vision, strategy, and multi-year roadmap for AMMI, ensuring it evolves into an industry-leading, AI-enabled logistics toolkit.\\r\\n\\tDefine and prioritize the product backlog based on SPEED impact, business value, customer need, and technical feasibility.\\r\\n\\tServe as the internal champion for AMMI&mdash;articulating the platform&rsquo;s value to internal stakeholders, leadership, and external partners.\\r\\n\\tEstablish product governance and sprint cadence frameworks that align development velocity with enterprise priorities.\\r\\n\\tTranslate the EASE growth strategy into a phased, deliverable-driven product roadmap with measurable outcomes tied to SPEED, customer retention, and operational leverage.\\r\\n\\tDrive product discovery and user research processes to ensure AMMI capabilities are built in response to real operational needs and market opportunities.\\r\\n\\r\\n\\r\\nAI Strategy &amp; Innovation\\r\\n\\r\\n\\r\\n\\tCo-own EASE&rsquo;s enterprise AI strategy alongside the CSO, establishing a clear framework for how AI capabilities are identified, evaluated, integrated, and measured.\\r\\n\\tLead the identification, evaluation, and management of AI vendors and technology partners, ensuring EASE maintains access to cutting-edge capabilities.\\r\\n\\tBuild AMMI as a genuinely AI-native platform&mdash;embedding machine learning, predictive analytics, intelligent automation, and decision-support capabilities throughout the product stack.\\r\\n\\tChampion an experimental mindset across the product and development organization: hypothesis-driven development, rapid prototyping, structured pilots, and data-informed iteration.\\r\\n\\tStay ahead of emerging AI trends in logistics and adjacent industries, translating market signals into actionable product investments.\\r\\n\\tEstablish EASE&rsquo;s internal AI governance framework, including model performance standards, responsible AI practices, and adoption measurement.\\r\\n\\r\\n\\r\\nBuild, Buy, &amp; Partner Decisions\\r\\n\\r\\n\\r\\n\\tOwn the build/buy/partner decision framework for new product capabilities, working closely with the CSO to evaluate the optimal path to each new capability.\\r\\n\\tLead structured assessments of third-party solutions, open-source tooling, and partner integrations as alternatives or complements to internal development.\\r\\n\\tEvaluate and manage AI and technology vendor relationships, including capability assessments, commercial negotiation, performance accountability, and integration roadmaps.\\r\\n\\tEnsure all vendor and partner engagements are governed with clear SLAs, ROI expectations, and strategic alignment criteria.\\r\\n\\tMaintain a living technology partnership roadmap that reflects current integration priorities, partner performance, and evolving strategic fit.\\r\\n\\r\\n\\r\\nResource Strategy &amp; Team Leadership\\r\\n\\r\\n\\r\\n\\tLead and develop a high-performing internal product and engineering team, setting clear expectations, fostering a culture of accountability, and enabling team members to grow.\\r\\n\\tDesign and implement a blended development resource model that strategically combines in-house talent with external development capacity to accelerate delivery and manage cost.\\r\\n\\tManage external product development relationships, including performance oversight, scope management, and quality assurance, ensuring external teams operate as seamless extensions of the internal team.\\r\\n\\tDefine onboarding standards, development norms, and collaboration practices that unify internal and external contributors under a shared operating model.\\r\\n\\tPartner with Finance and the CSO to manage the product development budget, forecasting capacity needs and balancing investment across internal headcount and external resources.\\r\\n\\r\\n\\r\\nData Science &amp; Analytics\\r\\n\\r\\n\\r\\n\\tOwn EASE&rsquo;s data science capability, building internal expertise and platform infrastructure that transforms raw logistics data into predictive insight and autonomous action.\\r\\n\\tLead the design and development of ML models, intelligent pricing tools, operational forecasting capabilities, and other data-driven product features within AMMI.\\r\\n\\tEstablish a data product strategy that treats EASE&rsquo;s proprietary data as a strategic asset&mdash;defining how it is captured, structured, surfaced, and operationalized.\\r\\n\\tChampion the use of data and experimentation in product decision-making, embedding A/B testing, analytics instrumentation, and model performance monitoring into the development lifecycle.\\r\\n\\tEnsure data science work is tightly connected to operational outcomes, with a clear line from model or feature to SPEED impact.\\r\\n\\r\\n\\r\\nPricing Science &amp; Predictive Cost Modeling\\r\\n\\r\\n\\r\\n\\tOwn the design, development, and continuous improvement of EASE&#39;s pricing science systems, including predictive cost models, dynamic rate engines, and margin optimization tools embedded within AMMI.\\r\\n\\tLead the development of carrier cost prediction and lane-level pricing models that enable EASE to price with speed, accuracy, and confidence across all freight modes and markets.\\r\\n\\tBuild and maintain a feedback loop between operational outcomes and pricing models&mdash;continuously retraining and improving model accuracy using real shipment, cost, and margin data.\\r\\n\\tPartner with Sales, Operations, and Finance to ensure pricing science capabilities are integrated into quoting workflows, sales tools, and executive reporting.\\r\\n\\tBuild product capabilities that support and accelerate the RFP response process&mdash;enabling cost estimates to be generated faster, with greater accuracy, and with reduced manual processing effort.\\r\\n\\tEstablish model performance standards, drift monitoring, and governance practices that ensure pricing models remain accurate, explainable, and aligned with business objectives.\\r\\n\\r\\n\\r\\nSPEED Ownership &amp; Product Performance\\r\\n\\r\\n\\r\\n\\tTreat SPEED (Shipments Per Ease Employee Daily) as the defining product KPI&mdash;ensuring every feature, release, and investment decision is evaluated against its anticipated contribution to SPEED.\\r\\n\\tDefine product OKRs and delivery metrics that create a clear feedback loop between product development activity and measurable business outcomes.\\r\\n\\tEstablish release cadence and product performance review processes that drive continuous improvement and hold the roadmap accountable to quarterly targets.\\r\\n\\tPartner with Operations and Sales to validate that new capabilities are adopted effectively and delivering intended value in the field.\\r\\n\\tReport to the CSO and executive leadership on product performance, roadmap progress, development velocity, and SPEED contributions.\\r\\n\\tDevelop and maintain win/loss analytics capabilities within AMMI that give Sales and leadership accurate, timely insight into bid outcomes, pricing competitiveness, and revenue conversion patterns.\\r\\n\\r\\n\\r\\nCross-Functional Collaboration\\r\\n\\r\\n\\r\\n\\tPartner closely with the VP, Technology to ensure seamless alignment between new product development and the underlying systems, infrastructure, and internal tools that support them.\\r\\n\\tCollaborate with Sales, Customer Operations, and Marketing to ensure AMMI capabilities are understood, positioned, and adopted effectively.\\r\\n\\tServe as a bridge between the technical and business domains&mdash;translating complex product and AI concepts into clear commercial and operational narratives for non-technical stakeholders.\\r\\n\\tContribute to EASE&rsquo;s go-to-market strategy by providing technical and product depth for sales enablement, RFP responses, and customer engagements where AMMI is a differentiator.\\r\\n\\tPartner with Sales and Operations to embed RFP response tooling into AMMI workflows, reducing the time and manual effort required to produce competitive, data-backed bids.\\r\\n\\r\\n\\r\\nKPIs, Performance &amp; Measurement\\r\\n\\r\\n\\r\\n\\tDefine, monitor, and enforce accountability for KPIs related to system performance, uptime, project delivery, security, and deliverable outcomes.\\r\\n\\tResponsible for tracking product budget, forecasting, and spend. \\r\\n\\tUse data-driven insights to guide decision-making and continuous improvement.\\r\\n\\r\\n\\r\\nLeadership and Supervisory Responsibilities\\r\\n\\r\\n\\r\\n\\tLead and mentor the Product Development function, including internal engineers, product managers, data scientists, and external development resources.\\r\\n\\tEstablish a high-accountability team culture grounded in EASE&rsquo;s manifesto: execution is necessary, results are mandatory.\\r\\n\\tCreate and maintain clear performance expectations, sprint cadences, and delivery commitments for all product development resources.\\r\\n\\tPartner with the executive team to ensure product strategy is tightly integrated with corporate strategy, commercial priorities, and operational goals.\\r\\n\\tSubmit monthly leadership reports no later than the 7th calendar day of the following month.\\r\\n\\tProvide regular reporting to the CSO and executive leadership on product roadmap status, development velocity, resource utilization, and SPEED impact.\\r\\n\\tBuild organizational capability by developing internal talent and structuring the team for scale as EASE grows.\\r\\n\\r\\n\\r\\n\\r\\n\\tResponsible for tracking product budget, forecasting, and spend. \\r\\n\\tEstablish KPI&rsquo;s for each individual on the product development team, establish AI adoption KPI&rsquo;s to ensure and track ROI on projects and deliverables. \\r\\n\\r\\n\",\"employmentType\":\"FULL_TIME\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"EASE LOGISTICS SERVICES LLC\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=524326BE10E0F901EF936F501E5144B0\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"5725 Avery Road\",\"addressLocality\":\"Dublin\",\"addressRegion\":\"OH\",\"postalCode\":43016,\"addressCountry\":\"USA\"}},\"qualifications\":\"Qualifications: \\r\\n\\r\\nEducation\\r\\n\\r\\n\\r\\n\\tBachelor&rsquo;s degree in computer science, data science, software engineering, information technology, or related technical field required.\\r\\n\\tMaster&rsquo;s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred.\\r\\n\\tRelevant product management, AI/ML, or cloud certifications are a plus.\\r\\n\\r\\n\\r\\nExperience\\r\\n\\r\\n\\r\\n\\t10+ years of progressive experience in product management, product development, or software engineering, with at least 3&ndash;5 years in a senior leadership role.\\r\\n\\tDemonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries.\\r\\n\\tProven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns.\\r\\n\\tExperience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors.\\r\\n\\tTrack record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment.\\r\\n\\tExperience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems).\\r\\n\\tExperience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery.\\r\\n\\tDemonstrated ability to translate business strategy into product requirements and measurable outcomes.\\r\\n\\tExperience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight.\\r\\n\\r\\n\\r\\nKnowledge, Skills, &amp; Abilities\\r\\n\\r\\n\\r\\n\\tDeep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks.\\r\\n\\tStrong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms.\\r\\n\\tFamiliarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. \\r\\n\\tAbility to architect and manage a blended internal/external development model, with strong vendor and contractor management skills.\\r\\n\\tStrong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks.\\r\\n\\tExcellent leadership, communication, and cross-functional stakeholder management skills.\\r\\n\\tEntrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment.\\r\\n\\tStrong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences.\\r\\n\\tMindset of continuous improvement and a genuine passion for building products that deliver \\r\\n\\tAbility to translate complex technical information into actionable business strategies. \\r\\n\\tExcellent leadership, communication, and stakeholder management skills.\\r\\n\\tStrong communication and interpersonal skills, with the ability to work effectively in a team environment.\\r\\n\\tAbility to prioritize tasks and manage time effectively in a fast-paced environment.\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\",\"experienceRequirements\":\"Qualifications: \\r\\n\\r\\nEducation\\r\\n\\r\\n\\r\\n\\tBachelor&rsquo;s degree in computer science, data science, software engineering, information technology, or related technical field required.\\r\\n\\tMaster&rsquo;s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred.\\r\\n\\tRelevant product management, AI/ML, or cloud certifications are a plus.\\r\\n\\r\\n\\r\\nExperience\\r\\n\\r\\n\\r\\n\\t10+ years of progressive experience in product management, product development, or software engineering, with at least 3&ndash;5 years in a senior leadership role.\\r\\n\\tDemonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries.\\r\\n\\tProven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns.\\r\\n\\tExperience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors.\\r\\n\\tTrack record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment.\\r\\n\\tExperience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems).\\r\\n\\tExperience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery.\\r\\n\\tDemonstrated ability to translate business strategy into product requirements and measurable outcomes.\\r\\n\\tExperience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight.\\r\\n\\r\\n\\r\\nKnowledge, Skills, &amp; Abilities\\r\\n\\r\\n\\r\\n\\tDeep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks.\\r\\n\\tStrong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms.\\r\\n\\tFamiliarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. \\r\\n\\tAbility to architect and manage a blended internal/external development model, with strong vendor and contractor management skills.\\r\\n\\tStrong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks.\\r\\n\\tExcellent leadership, communication, and cross-functional stakeholder management skills.\\r\\n\\tEntrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment.\\r\\n\\tStrong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences.\\r\\n\\tMindset of continuous improvement and a genuine passion for building products that deliver \\r\\n\\tAbility to translate complex technical information into actionable business strategies. \\r\\n\\tExcellent leadership, communication, and stakeholder management skills.\\r\\n\\tStrong communication and interpersonal skills, with the ability to work effectively in a team environment.\\r\\n\\tAbility to prioritize tasks and manage time effectively in a fast-paced environment.\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\",\"validThrough\":\"-0001-11-30\"}",
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    "qualifications": "<p><span style=\"font-size:11pt;\"><span><span style=\"font-family:Barlow;\"><b><u><span style=\"text-transform:uppercase;\">Qualifications</span></u></b><b>: </b></span></span></span></p>\r\n\r\n<p><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><i><u>Education</u></i></span></span></p>\r\n\r\n<ul>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Bachelor&rsquo;s degree in computer science, data science, software engineering, information technology, or related technical field required.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Master&rsquo;s degree in computer science, data science, artificial intelligence, or related technical field is strongly preferred.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\">Relevant product management, AI/ML, or cloud certifications are a plus.</span></span></li>\r\n</ul>\r\n\r\n<p><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><i><u>Experience</u></i></span></span></p>\r\n\r\n<ul>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">10+ years of progressive experience in product management, product development, or software engineering, with at least 3&ndash;5 years in a senior leadership role.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Demonstrated success building and scaling modern software products in production environments, ideally in logistics, supply chain, transportation technology, SaaS, or adjacent industries.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Proven experience developing and deploying AI/ML-powered products, including hands-on familiarity with model development workflows, ML Ops practices, and AI integration patterns.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Experience leading blended development teams that include both in-house engineers and external product development resources or offshore/nearshore vendors.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Track record of managing and delivering complex, multi-workstream product roadmaps in a high-growth, fast-paced operating environment.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Experience with cloud-native product development (AWS, Azure, or GCP) and modern software architecture patterns (microservices, APIs, event-driven systems).</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Experience with data science team leadership, including ML model development, data pipeline management, and analytics product delivery.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Demonstrated ability to translate business strategy into product requirements and measurable outcomes.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Experience managing AI and technology vendor budgets and relationships, including commercial negotiation, SLA accountability, and integration oversight.</span></span></span></li>\r\n</ul>\r\n\r\n<p><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><i><u>Knowledge, Skills, &amp; Abilities</u></i></span></span></p>\r\n\r\n<ul>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Deep understanding of modern software development practices, including agile/scrum methodologies, CI/CD pipelines, and product-led development frameworks.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Strong command of AI/ML technologies, including large language models, predictive analytics, automation tooling, and data science platforms.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Familiarity with logistics technology ecosystems, including TMS, WMS, EDI, and digital freight platforms, is highly preferred. McLeod TMS experience preferred. </span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Ability to architect and manage a blended internal/external development model, with strong vendor and contractor management skills.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Strong analytical, problem-solving, and data-driven decision-making capabilities, with experience establishing product KPIs and measurement frameworks.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Excellent leadership, communication, and cross-functional stakeholder management skills.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Entrepreneurial mindset with a bias for action, comfort with ambiguity, and the ability to operate effectively in a high-accountability environment.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Strong ability to translate complex technical concepts into clear, commercially-oriented narratives for non-technical audiences.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Mindset of continuous improvement and a genuine passion for building products that deliver </span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Ability to translate complex technical information into actionable business strategies. </span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Excellent leadership, communication, and stakeholder management skills.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Strong communication and interpersonal skills, with the ability to work effectively in a team environment.</span></span></span></li>\r\n\t<li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Barlow;\"><span style=\"color:#000000;\">Ability to prioritize tasks and manage time effectively in a fast-paced environment.</span></span></span></li>\r\n</ul>\r\n\r\n<p>&nbsp;</p>\r\n",
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