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Senior Product Manager – AI
GE Vernova
Posted: 10/20/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on LLM-based agents, including the ability to design and evaluate multi-agent orchestration and API specifications. Proficient in technical writing and capable of making data-driven decisions in a fast-paced environment.
Highest-signal resume keywords
Product Management ExperienceLLM-Based Agent DevelopmentAPI Specification and DesignEvaluation Harness OwnershipMulti-Agent Orchestration
About the role
Key responsibilities & impact- Own the agent runtime used by every Superhuman, including planning, tool calling, context-graph memory, guardrails, and the trust ladder
- Design multi-agent orchestration and handoffs across the customer journey
- Define shared state and conflict resolution for agents acting on the same contact
- Turn GTM orchestrations into configurable packaged plays with triggers, steps, agent assignments, and human checkpoints
- Build and own the evaluation harness for agent behavior and release-gating metrics
- Define APIs, configuration, admin experiences, enterprise adapters, and fine-tuning hooks
- Run a weekly shipping cadence with GenAI and engineering, involving enablement and customer success before releases
- Write technical specifications covering data models, state machines, API shapes, and tradeoffs
- Prototype in code or no-code tools before writing specifications
- Work directly with the GenAI team and report to the Chief Product Officer
- Build the platform that enables PMs, forward-deployed engineers, and enterprise customers to compose and tune agents
Requirements
What you’ll need- 5+ years of product management experience
- At least 2 years shipping LLM-based agents to production users
- Hands-on experience with tool calling, planning loops, memory and retrieval, and multi-agent handoff patterns
- Ability to diagnose agent failures from traces
- Experience building or owning an evaluation harness used to gate releases
- Technical ability to specify data models, state machines, and API shapes and explain tradeoffs
- Experience at an AI-native company or on a large platform team paired with founder or early-stage startup experience preferred
- Comfortable making decisions with incomplete data and shipping weekly
- Clear technical and product writing
- Fine-tuning or reinforcement learning exposure preferred, including SFT, DPO, reward-based training, or per-tenant adapters
- Voice or real-time conversational agent experience preferred
- GTM domain experience preferred
- Workflow or orchestration platform experience preferred
- Enterprise platform experience with admin surfaces, permissions, and audit preferred
- Must be able to work full-time in the United States; sponsorship question included in application
Benefits
Comp & perks- Stock options/equity
- Company-paid benefits
- Full range of benefits and perks
- Supportive and inclusive work environment
- Fully remote work opportunity
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Tool CallingPlanning LoopsMemory and RetrievalState MachinesData ModelsConflict ResolutionFine-TuningReinforcement LearningGTM OrchestrationConversational Agent Development
Soft Skills
Clear Technical WritingDecision-Making with Incomplete Data
Tools & Technologies
Evaluation HarnessNo-Code ToolsGenAIEnterprise AdaptersAdmin Experiences
Industry Keywords
AI-Native Company ExperienceWorkflow Platform ExperienceEnterprise Platform ExperienceAudit and Permissions ManagementStartup Experience