Senior Technical PM, Applied AI
India · 4-8 years experience · Full-time · Remote · Posted Oct 15, 2026
At a glance
- Experience
- 4-8 years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- India
About Netomi
- Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
- Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
- 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. You will work directly with AI labs, understand new model capabilities early, build experiments and prototypes yourself, design evaluations and debug failing agents. You use that hands-on work to make better, faster product decisions.
- 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.
- - Business focus: tie the roadmap to measurable business outcomes such as autonomous resolution rate, cost per resolution, CSAT, revenue expansion and competitive wins. Know where Netomi wins and loses against competitors, and shape our position.
About the role
- Netomi is hiring a Senior Technical PM to own the product strategy and roadmap for our Agents platform.
- This role is firmly hands-on, requiring you to work directly with AI labs, build experiments and prototypes yourself, design evaluations, and debug failing agents.
Responsibilities
- Tie the roadmap to measurable business outcomes such as autonomous resolution rate, cost per resolution, CSAT, revenue expansion, and competitive wins.
- Own the multi-quarter roadmap for Agents end to end, from problem discovery and prioritization to delivery and outcome tracking.
- Work directly with enterprise customers, Customer Success, Delivery, and Sales to find the highest-value problems and translate them into clear problem statements, PRDs, user stories, success metrics, and dependency maps.
- Drive alignment across engineering, research, data science, QA, and go-to-market on scope, dependencies, and launch readiness, without direct authority.
- Run the cadence of quarterly roadmap inputs, monthly scope lock, weekly execution reviews, and launch readiness sign-offs.
- Own launch checklists, track adoption per capability, and publish a monthly Agent Outcomes readout across deployments.
- Run monitoring windows and post-incident reviews, and feed what you learn back into the roadmap.
- Be our product point person with AI labs and model providers to test new models and features.
- Vibe code prototypes, build agents, and connect them to real systems through APIs and MCP tools, running offline tests, shadow mode, and canary releases.
- Define the Agent Readiness Scorecard, design evaluations for task completion, tool success, policy compliance, latency, and cost, and keep regression tests running.
Requirements
- 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 to prioritize, work with customers, and get capabilities shipped.
- Customer-first approach to turn enterprise needs into clear, actionable requirements.
- Excellent communication skills to align engineering, research, and go-to-market teams and present clearly to executives.
- 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.
Preferred qualifications
- Experience shipping AI agent products at a conversational AI or enterprise AI platform company.
- Direct experience working with AI labs or model providers including early-access programs and model evaluations.
- Familiarity with agent frameworks and protocols such as LangGraph and MCP, and with voice AI.
- Experience in regulated or mission-critical industries including airlines, banking, healthcare, and payments, and with large SI partners.
- Public work you can show such as a repo, demo, blog post, or talk.
Skills
- LLM Reasoning
- APIs
- MCP
- LangGraph
- Voice AI
