Senior Technical PM, Applied AI

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of the product strategy and multi-quarter roadmap for the Agents platform.

• Link roadmap choices to quantifiable business outcomes, including autonomous resolution rates, cost per resolution, customer satisfaction (CSAT), revenue growth, and competitive advantages.

• Collaborate directly with enterprise clients, Customer Success, Delivery, and Sales to pinpoint high-value challenges.

• Convert customer requirements into problem statements, product requirements documents (PRDs), user stories, success metrics, and dependency maps.

• Foster alignment among engineering, research, data science, QA, and go-to-market teams regarding scope, dependencies, and launch readiness.

• Manage quarterly roadmap inputs, monthly scope locks, weekly execution reviews, and sign-offs for launch readiness.

• Oversee launch checklists, instrumentation, enablement, and success criteria; track adoption and provide monthly Agent Outcomes updates.

• Conduct monitoring sessions and post-incident reviews, incorporating insights into the roadmap.

• Govern agent reasoning and orchestration, tool and API utilization, memory and context management, human-in-the-loop workflows, and enterprise governance.

• Collaborate with AI labs and model providers to test new models and capabilities, offering evidence-based feedback.

• Develop experiments, prototypes, and agents integrated with real systems via APIs and MCP tools.

• Conduct offline tests, shadow-mode testing, and canary releases with distinct decision criteria.

• Establish the Agent Readiness Scorecard and Go/No-Go criteria; design evaluations assessing task completion, tool success, policy adherence, latency, and cost.

• Troubleshoot production agent failures, determine root causes, and ensure significant failures are addressed with fixes and regression tests.

• Guide model selection and routing decisions using quality, latency, and cost metrics.

⛳️ Requirements

• Approximately 4–8 years of relevant experience, preferably in a highly technical product role, applied AI engineering, or research engineering with distinct product ownership.

• Demonstrated ownership of a complex technical product area, with features delivered to enterprise clients and measurable business impacts.

• Strong product judgment with the ability to prioritize tasks, work with customers, and successfully launch capabilities.

• Customer-centric mindset with the ability to translate enterprise needs into clear and actionable requirements.

• Exceptional communication skills to align engineering, research, and go-to-market teams, as well as to present effectively to executives.

• Comfortable with coding, constructing agents, connecting APIs and MCP tools, designing evaluations, and debugging production failures.

• In-depth understanding of LLM reasoning, tool utilization, multi-step task execution, orchestration patterns, evaluation methods, and production observability for agents.

• Technical proficiency with APIs, cloud environments, and AI deployment workflows.

• Experience in launching AI agent products at conversational AI or enterprise AI platform companies is advantageous.

• Direct experience collaborating with AI labs or model providers is a plus.

• Familiarity with agent frameworks and protocols such as LangGraph and MCP, as well as voice AI technologies, is a plus.

• Background in regulated or mission-critical industries and experience with large system integrators (SIs) is desirable.

• Public contributions such as repositories, demos, blog posts, or presentations are a plus.

🏝️ Benefits

• Full-time employment.

• Equal opportunity employer dedicated to fostering diversity in the workplace.