This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Head of Product Management - Generative AI in the
United States.
The Head of Product Management will drive the strategy and execution of a cutting-edge Generative AI orchestration and governance platform. This role owns the end-to-end product lifecycle—from market discovery to scaled rollout—ensuring features are secure, compliant, and enterprise-ready. You will partner closely with engineering, research, compliance, and go-to-market teams to translate research and customer insights into high-impact workflows. Success in this role requires a blend of deep technical fluency in GenAI systems, hands-on product leadership experience, and the ability to embed governance, risk, and observability into AI products that accelerate safe AI adoption. The position offers a dynamic, fully remote environment with opportunities to influence enterprise AI adoption globally.
Accountabilities
- Lead product strategy, roadmap, and execution for Generative AI orchestration and governance features
- Translate research and enterprise customer insights into production-ready workflows, pipelines, and deployment tooling
- Embed governance-by-design principles, including auditability, risk controls, bias mitigation, and regulatory alignment (e.g., EU AI Act, NIST RMF, ISO/IEC)
- Drive evaluation and monitoring of AI systems, including observability, model drift detection, and lifecycle management
- Partner with cross-functional teams (engineering, ML research, compliance, and GTM) to deliver high-quality, scalable products
- Collaborate with go-to-market teams to develop positioning, demos, and documentation for enterprise and developer audiences
- Run tight execution loops: lead squads, validate with design partners, and iterate quickly based on enterprise feedback
Requirements
- Proven experience in product management for AI/ML platforms, developer tools, or enterprise SaaS, with end-to-end ownership of product delivery
- Deep understanding of Generative AI technologies, including LLM data pipelines, RAG, embeddings, vector databases, and prompt/fine-tuning workflows
- Hands-on experience with orchestration frameworks such as LangChain, Kubeflow, or similar workflow automation tools
- Technical fluency to engage credibly with engineering, data, and compliance stakeholders (APIs, embeddings, evaluation frameworks)
- Strong knowledge of AI governance, observability, risk mitigation, and regulatory alignment
- Excellent cross-functional leadership, communication, and collaboration skills
- Experience driving metrics beyond raw accuracy, including reliability, transparency, and safety KPIs
- Nice-to-have: familiarity with LangSmith, LangGraph, Ray, Feast, BentoML, DVC, Flyte, Dagster, or Prefect; experience from observability, governance, AI platform companies, or major AI labs
Benefits
- Fully remote, work-from-home environment with flexible working hours
- Paid time off and long-term incentive programs
- Opportunities for professional advancement and continued education support
- Periodic in-person offsites globally (travel permitting)
- Collaborative, high-impact role shaping enterprise AI adoption and governance
Jobgether is a
Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through
AI-driven job matching.
When you apply, your profile goes through our
AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the
3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is
transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
