Engineering Manager AI Platform  (m/f/d)

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    "datePosted": "2026-03-23",
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    "description": "<p><span style=\"font-weight: bold\">Engineering Manager AI Platform  (m/f/d)</span></p>\n<p><span style=\"font-weight: bold\">Location:</span><span> Poland  / within Poland</span></p>\n<p><span> </span></p>\n<p>Aras Corporation is a fast-growing, innovative, and trusted provider of software that improves productivity and profitability for engineering, manufacturing, and infrastructure industries. Our resilient and open software platform empowers subscribers to deliver sustainable performance with the flexibility and agility required to meet evolving market demands.</p>\n<p>As part of our strategic investment in AI-enabled engineering platforms, Aras is expanding InnovatorEdge to support agentic AI, API-driven extensibility, and modern application development across the digital engineering ecosystem. Our AI platform enables customers and partners to build, deploy, and govern AI-powered capabilities directly within the PLM environment.</p>\n<p>At Aras, our culture is open, collaborative, and people-centered. We value continuous learning, encourage innovation, and provide an environment where individuals can shape meaningful and rewarding career paths.</p>\n<p>We are looking for an Engineering Manager to lead our AI Platform engineering group, responsible for building the foundational platform capabilities that enable development and operation of AI-powered services and agents across the Aras ecosystem, while also helping drive AI adoption across engineering by enabling teams to effectively leverage AI technologies and platform capabilities in product development.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Responsibilities:</span></p>\n<ul>\n<li>Act as a leader for AI adoption across Engineering, helping teams identify opportunities to leverage AI technologies and enabling safe and effective adoption of AI capabilities, tools, and development practices across the organization.</li>\n<li>Own end-to-end delivery for a defined product area, ensuring scope, schedule, quality, and compliance with engineering and security standards; proactively track progress, risks, and dependencies, and escalate early when needed.</li>\n<li>Lead multiple agile teams (typically 2–3) to deliver high-quality outcomes while coordinating work across shared resources such as architects, SMEs, and external partners; prioritize and sequence work, negotiate availability, and resolve conflicts.</li>\n<li>Partner closely with Product Management to align backlog priorities with roadmap commitments and ensure predictable execution.</li>\n<li>Own capacity planning and allocation across strategic initiatives, operational work, technical debt, and discovery activities (PoCs/spikes); continuously optimize for focus, minimize context switching, and adjust allocations as scope evolves.</li>\n<li>Act as the primary delivery contact for group-level matters; clearly communicate delivery status, risks, blockers, trade-offs, and capacity constraints to stakeholders.</li>\n<li>Line-manage the engineering group, including hiring, onboarding, performance management, coaching, feedback, and fostering overall team health and engagement.</li>\n<li>Drive innovation within the product area by identifying opportunities, sponsoring experiments, and encouraging teams to explore new approaches while balancing delivery commitments.</li>\n<li>Promote and reinforce a strong engineering culture focused on accountability, ownership, collaboration, and continuous improvement.</li>\n<li>Ensure architectural consistency by aligning teams with agreed technical direction and collaborating closely with the Group Architect.</li>\n<li>Oversee and support Scrum and agile practices across teams (in collaboration with the Group Scrum Master), removing impediments to delivery.</li>\n<li>Maintain sufficient technical context within the product area to assess risks, support technical leadership, and make informed delivery and capacity decisions.</li>\n<li>Ensure transparency and predictability through clear metrics for throughput, flow efficiency, quality, and system stability.</li>\n<li>Foster collaboration, mentorship, and talent development to strengthen long-term team capability and succession readiness.</li>\n<li>Drive continuous improvement in engineering and delivery practices without disrupting ongoing commitments.</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Requirements:</span></p>\n<ul>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).</li>\n<li>7+ years of experience in software engineering, with at least 2–3 years in an engineering leadership or management role.</li>\n<li>Proven experience leading multiple agile teams and delivering complex software products in a product-driven organization.</li>\n<li>Experience working with AI-enabled systems, data platforms, or developer platforms is highly desirable.</li>\n<li>Familiarity with AI integration patterns, LLM-based applications, or agent-based architectures is a strong plus.</li>\n<li>Strong understanding of modern software development practices, including agile methodologies, DevOps, CI/CD, and secure coding standards.</li>\n<li>Demonstrated ability to manage capacity planning, prioritize competing demands, and balance innovation with execution.</li>\n<li>Experience partnering effectively with Product Management, Architecture, and cross-functional stakeholders.</li>\n<li>Ability to communicate clearly with both technical and non-technical stakeholders and influence decision-making.</li>\n<li>Data-driven mindset with experience using delivery and quality metrics to drive predictability and improvement.</li>\n<li>Solid technical foundation with the ability to understand architecture and design discussions and assess technical risks.</li>\n<li>Strong problem-solving skills, ownership mindset, and a proactive leadership approach.</li>\n<li>Excellent English communication skills (written and verbal).</li>\n</ul>",
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