[Hiring] Senior Technical PM, Applied AI @Netomi

Role Description

Netomi is hiring a Senior Technical PM to own the product strategy and roadmap for our Agents platform. You will decide what we build and why, tie every investment to enterprise customer and business outcomes, and get capabilities shipped and adopted by some of the world’s largest brands. This role is also firmly hands-on.

• Product and business ownership
  • Business focus: Tie the roadmap to measurable business outcomes such as autonomous resolution rate, cost per resolution, CSAT, revenue expansion, and competitive wins.
  • Product strategy and roadmap: Own the multi-quarter roadmap for Agents end to end, from problem discovery and prioritization to delivery and outcome tracking.
  • Customer and partner needs: Work directly with enterprise customers, Customer Success, Delivery, and Sales to find the highest-value problems.
  • Cross-functional leadership: Drive alignment across engineering, research, data science, QA, and go-to-market on scope, dependencies, and launch readiness.
  • Planning and execution: Run the cadence of quarterly roadmap inputs, monthly scope lock, weekly execution reviews, and launch readiness sign-offs.
  • Launch and adoption: Own launch checklists, track adoption per capability, and publish a monthly Agent Outcomes readout across deployments.
  • Post-release learning: Run monitoring windows and post-incident reviews, and feed what you learn back into the roadmap.
• Product areas you will own
  • Agent reasoning and orchestration: Multi-step task planning, action selection, retry and fallback logic, and supervisor and sub-agent patterns.
  • Tool and API use: Reliable, observable, policy-compliant tool calling for CRM, ITSM, and custom enterprise systems, including MCP.
  • Memory and context: Conversation memory, long-running task state, and continuity across channels and sessions.
  • Human-in-the-loop: Clarification, graceful escalation to live agents, approval steps for high-risk actions, and hybrid autonomy modes.
  • Enterprise governance: Guardrails, audit trails, explainable decisions, role-based access, and safe rollout through shadow mode, staged releases, and rollback.
• Hands-on work
  • AI labs and new capabilities: Be our product point person with AI labs and model providers.
  • Experiments and prototypes: Vibe code prototypes, build agents, and connect them to real systems through APIs and MCP tools.
  • Evaluation and quality: Define the Agent Readiness Scorecard and Go/No-Go criteria.
  • Debugging production failures: Read agent traces with engineering, find root causes, and ensure each serious failure gets a fix and a test.
  • Model choices: Inform model selection and routing decisions by weighing quality, latency, and cost with real data.

Qualifications

• Roughly 4–8 years of relevant experience, ideally from a deeply technical product role, applied AI engineering, or research engineering with clear product ownership.
• Proven ownership of a complex technical product area, with features delivered to enterprise customers and measurable business results.
• Strong product judgment: You can prioritize, work with customers, and get capabilities shipped.
• Customer-first: You turn enterprise needs into clear, actionable requirements.
• Excellent communicator who can align engineering, research, and go-to-market teams and present clearly to executives.

Requirements

• Comfortable vibe coding, building agents, connecting APIs and MCP tools, designing evaluations, and debugging production failures.
• Deep understanding of LLM reasoning, tool calling, multi-step task execution, orchestration patterns, evaluation methods, and production observability for agents.
• Technical fluency with APIs, cloud environments, and AI deployment workflows.

Benefits

• Netomi is an equal opportunity employer committed to diversity in the workplace.
• We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
• We may use artificial intelligence (AI) tools to support parts of the hiring process.