Product Manager

Traversal•New York, NY

14d•Onsite

About The Position

Traversal is building a superintelligent AI SRE: always-on AI employees, used daily by hundreds of engineers at the world's largest companies during their highest-pressure moments. At the core are the agents and AI capabilities our engineering and research teams build. As a Product Manager at Traversal, you'll build the product on top of them: how the agent behaves, what it does, how it communicates, when it should act, and the user interfaces / product experiences built around it. On-call engineers and SREs use the Traversal agent to troubleshoot production incidents, work through alert channels, and answer the everyday questions that come with keeping systems running, and adoption and usage have grown explosively. The agent lives in a web app and across headless surfaces: agents in Slack and Microsoft Teams, an MCP that works with coding agents like Claude Code and Cursor, and an API engineers build workflows around. You'll bring the same craft to all of them, from pixel-level detail in the UI to tone, clarity, and evals in Slack, and you'll know which surface fits which problem. Our product team is small but mighty: just a few PMs, each with high agency and a real hand in shaping how the function works. You'll help set the roadmap and the way we work as the company scales through rapid growth. If you use AI agents compulsively, have strong opinions about what makes them great, and want to build AI-native products engineers love so much they turn to them first, we'd love to meet you.

Requirements

~5+ years of combined work experience across product management, engineering, or similar role, including at least 2 years as a PM
You live on the frontier of agents: a deep power user of AI agents at work and in life with strong opinions on what makes them great; deep intuition for how LLMs and agents work, including when to add structure and when to let the agent be free; intuition for personal and multi-agent experiences, and a sense of where agents are going next
Strong taste in both UI design and headless experiences, and judgment about when to use each
An excellent writer: concise, clear docs; agent prompts that elicit exactly the behavior you want; and clear customer comms
High agency: you do whatever the product needs, with or without a playbook. You build and ship things yourself, bring prototypes (not just PRDs) to product reviews, ship and iterate fast, and create structure where there isn't any
Exceptional with customers: credible with senior engineers at large enterprises

Nice To Haves

Hands-on experience building a product that is itself an AI agent (a strong plus)
Side projects you've built with AI
1–2+ years in a software engineering or SRE role
Experience helping a company go from less structured to more structured
Early PM at a high-growth startup
Experience with data-heavy or enterprise SaaS products
Exposure to observability tooling, SRE workflows, or on-call environments

Responsibilities

Partner closely with customers, engineers, and AI researchers to define product strategy and roadmap, leading discovery with SREs, platform engineers, and incident responders at some of the world's largest enterprises
Build the product layer on top of the core AI agents our research and engineering teams build, thinking holistically across the web app and headless surfaces (Slack, Microsoft Teams, MCP, and API, where the user is often another agent).
Sweat the details of the agent's prompts: iterate on multiple versions of prompts and harnesses, run evals to see which output is better, and tell a good output from a great one
Own the features that make the product enterprise-ready, like fine-grained access control and RBAC
Prototype ideas yourself, and bring a prototype, not just a PRD, to product reviews
Sequence rollouts: find the MVP: the smallest feature set that tests a hypothesis, shipped on the most minimal surface (headless, Slack, or UI), tested with beta users, then expanded over time
Work with forward-deployed engineers during customer POVs to turn gaps into shipped features, fast
Bring in ideas from across the agent ecosystem and anticipate where agents are going next
Shape the product function: roadmap, process, and how product works with a fast-growing engineering team