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HomeCompaniesC10labsHead of Engineering

Head of Engineering

C10labs · Boston, Massachusetts · Hybrid · Active · Pinpoint

Job facts

FieldValue
CompanyC10labs
TitleHead of Engineering
Normalized title-
Department / teamOpenExpert.ai
LocationBoston, MA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary0-0
Statusactive
ATS providerPinpoint
Posted / first seen / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-22

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PageWhat it containsOpen
Company jobsActive postings from C10labs.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Pinpoint.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Boston.Open
Department jobsActive postings in OpenExpert.ai.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyC10labs
Sourcee2844fc2-a751-40c3-9837-97dd9719ec8b
ATS providerPinpoint

Description

OpenExpert.AI (a C10Labs company) is building the intelligence layer for the modern energy system. We develop AI-powered systems that act as Digital Subject Matter Experts (SMEs) for power generation, transmission, and distributed energy operations. Our platform helps utilities, independent power producers (IPPs), and energy operators reduce downtime, improve asset reliability, and make faster, expert-level decisions in real time. As the grid becomes more complex—with renewables, storage, and aging infrastructure—operators face increasing pressure to do more with less. We believe the future of energy reliability will be driven by AI systems that augment human expertise at scale. About the role OpenExpert.ai is hiring a Head of Engineering to lead, in equal measure, our product engineering strategy and our domain expertise in power plant operations. This role combines hands-on leadership across software, data, and AI systems with deep knowledge of generation asset operations, maintenance, troubleshooting, and reliability. You will help build trusted operational AI products that turn plant data, manuals, and institutional knowledge into fast, auditable recommendations for energy teams. Lead engineering strategy, architecture, and delivery across AI applications, data platforms, integrations, and production systems. Serve as the internal subject-matter expert on plant operations, maintenance workflows, outage response, root-cause analysis, reliability, and operator decision support. Translate real-world plant problems into product requirements, technical roadmaps, and scalable software solutions. Build and mentor a high-performing engineering team across backend, data, AI/ML, platform, and integration functions. Partner with product, design, and customers to develop features that integrate with SCADA, historians, CMMS/EAM, OEM documentation, and other operational systems. Define standards for security, uptime, traceability, testing, observability, and responsible AI in high-consequence environments. Validate model outputs and workflows against operational reality, safety expectations, and compliance requirements. Support customer discovery, pilot deployment, implementation planning, and executive communication with operators, utilities, and O&M leaders. Power generation domain expertise across one or more asset classes: gas, steam, wind, solar, hydro, geothermal, or nuclear. Strong engineering leadership in cloud-native software, APIs, distributed systems, data pipelines, and enterprise integrations. Experience with Python, TypeScript/JavaScript, SQL , and modern backend frameworks. Experience with AWS, Azure, or GCP , plus Docker, Kubernetes, CI/CD , and observability tools. Familiarity with LLM/AI systems, RAG, vector databases, MLOps/LLMOps , and evaluation/guardrail frameworks. Working knowledge of industrial and operational data environments such as OSIsoft PI / AVEVA PI, SCADA, OPC UA, historians, CMMS/EAM, ERP, and APM platforms. Strong systems thinking, incident/problem-solving discipline, and ability to communicate with both engineers and plant operators. 10+ years of experience spanning energy operations, industrial technology, software engineering, or technical product development. 5+ years leading engineering teams, technical architecture, or platform delivery in a startup, industrial software, or enterprise environment. Proven experience in power plant operations, reliability, maintenance engineering, performance engineering, or technical O&M support. Demonstrated success shipping production-grade software products used in operational or mission-critical settings. Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience. Advanced degree or experience in power systems, mechanical engineering, industrial automation, AI/ML, or data systems is a plus.

Full job record

Job IDd19f9d241b8c2d1cd34cc085b4d700959f6979c8
Org ID5179b753-232f-4d95-a998-891b8e16e85b
Source IDe2844fc2-a751-40c3-9837-97dd9719ec8b
Board IDe2844fc2-a751-40c3-9837-97dd9719ec8b
Providerpinpoint
Provider Job Key509235
TitleHead of Engineering
Normalized Title
Statusactive
Activeyes
Location TextBoston, Massachusetts
DepartmentOpenExpert.ai
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMA
CityBoston
Salary Raw0-0
Salary Min0
Salary Max0
Salary Currency
Salary Period
Source URLhttps://c10labs.pinpointhq.com/en/postings/495375c7-13ec-4392-82b8-877b2c3daec0
Apply URLhttps://c10labs.pinpointhq.com/en/postings/495375c7-13ec-4392-82b8-877b2c3daec0
First Seen At2026-05-31 17:46:15Z
Last Seen At2026-06-22 12:46:54Z
Last Checked At2026-06-22 12:46:54Z
Last Changed At2026-05-31 17:46:15Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=pinpoint/board=c10labs/date=2026-06-22/2026-06-22T12-46-53-478Z-19913a16006807fe6748795c25e6a253aef061c21104980bfc46bd9c66019c14.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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  "title": "Head of Engineering",
  "benefits": "<ul><li><!--block-->10+ years of experience spanning energy operations, industrial technology, software engineering, or technical product development.</li><li><!--block-->5+ years leading engineering teams, technical architecture, or platform delivery in a startup, industrial software, or enterprise environment.</li><li><!--block-->Proven experience in power plant operations, reliability, maintenance engineering, performance engineering, or technical O&amp;M support.</li><li><!--block-->Demonstrated success shipping production-grade software products used in operational or mission-critical settings.</li><li><!--block-->Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience.</li><li><!--block-->Advanced degree or experience in power systems, mechanical engineering, industrial automation, AI/ML, or data systems is a plus.</li></ul>",
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  "description": "<div><!--block--><br><strong>OpenExpert.AI (a C10Labs company)</strong> is building the intelligence layer for the modern energy system.<br><br></div><div><!--block-->We develop AI-powered systems that act as Digital Subject Matter Experts (SMEs) for power generation, transmission, and distributed energy operations. Our platform helps utilities, independent power producers (IPPs), and energy operators reduce downtime, improve asset reliability, and make faster, expert-level decisions in real time.<br><br></div><div><!--block-->As the grid becomes more complex—with renewables, storage, and aging infrastructure—operators face increasing pressure to do more with less. We believe the future of energy reliability will be driven by AI systems that augment human expertise at scale.<br><br></div><div><!--block--><strong>About the role<br></strong>OpenExpert.ai is hiring a <strong>Head of Engineering </strong>to lead, in equal measure, our product engineering strategy and our domain expertise in power plant operations. This role combines hands-on leadership across software, data, and AI systems with deep knowledge of generation asset operations, maintenance, troubleshooting, and reliability. You will help build trusted operational AI products that turn plant data, manuals, and institutional knowledge into fast, auditable recommendations for energy teams.</div>",
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  "compensation_currency": null,
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  "skills_knowledge_expertise": "<ul><li><!--block-->Power generation domain expertise across one or more asset classes: gas, steam, wind, solar, hydro, geothermal, or nuclear.</li><li><!--block-->Strong engineering leadership in cloud-native software, APIs, distributed systems, data pipelines, and enterprise integrations.</li><li><!--block-->Experience with <strong>Python, TypeScript/JavaScript, SQL</strong>, and modern backend frameworks.</li><li><!--block-->Experience with <strong>AWS, Azure, or GCP</strong>, plus <strong>Docker, Kubernetes, CI/CD</strong>, and observability tools.</li><li><!--block-->Familiarity with <strong>LLM/AI systems, RAG, vector databases, MLOps/LLMOps</strong>, and evaluation/guardrail frameworks.</li><li><!--block-->Working knowledge of industrial and operational data environments such as <strong>OSIsoft PI / AVEVA PI, SCADA, OPC UA, historians, CMMS/EAM, ERP, and APM</strong> platforms.</li><li><!--block-->Strong systems thinking, incident/problem-solving discipline, and ability to communicate with both engineers and plant operators.</li></ul>",
  "key_responsibilities_header": "Responsibilities",
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