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We're building a network of product managers we can match to client engagements as they come in. When a project fits your background, we'll reach out. Depending on the engagement, you'll either own the product direction on AI implementation projects or train client PM teams on how to use AI tools (Cursor, Claude Code, Codex) to interact with codebases, write specs, and work more effectively with engineering.
Engagements fall into two tracks: running product on AI builds, or training client PM teams on AI-native workflows.
Translate client business problems into technical requirements. Prioritize what gets built and in what order based on impact and feasibility.
Run standups, demos, and check-ins. Set expectations on scope and timeline. Be the person the client trusts to keep things on track.
Work between our engineering team and client stakeholders. Make sure engineers have clear specs and clients understand what's being built and why.
Help clients figure out where AI fits in their workflows. Identify high-value use cases, define success metrics, and build the case for what to invest in next.
Teach client PMs how to use Cursor, Claude Code, Codex, and similar tools to explore codebases, write better specs, review PRs, and work more effectively with their engineering teams.
Create repeatable frameworks for how PMs should interact with AI tools and AI-powered products. Help clients' PM orgs level up, not just individual contributors.
US citizen or permanent resident.
5+ years in product management, with at least 2 years on technical or data-heavy products.
Experience working directly with engineering teams. You can read a PR, understand a system diagram, and have an opinion on technical tradeoffs.
Strong client-facing communication. You'll be the primary point of contact on engagements.
Comfortable with ambiguity. Client problems are often vague and you need to turn them into clear plans.
Experience with AI/ML products or features in production, not just prototypes or demos.
Hands-on experience with AI coding tools (Cursor, Claude Code, Codex). You should be comfortable navigating a codebase with them, not just talking about them.
Experience in consulting, agency, or services environments where you managed multiple client workstreams.
Familiarity with LLM capabilities and limitations. You know what's realistic to build with current models.
Experience defining and tracking product metrics tied to business outcomes, not just feature velocity.
Background in enterprise software, SaaS, or regulated industries (PE, real estate, energy).
Uses AI tools (Claude, ChatGPT, Cursor) in your own workflow, not just talking about them.
Work from anywhere. We're distributed and async-first, with a low meeting culture: typically 1-4 meetings a week.
Performance reviews every quarter with clear paths to raises and bonuses.
Every team member gets Claude Code Max and Codex Pro subscriptions, plus any other AI tool you want to use.
Small teams, real ownership. No bureaucracy between you and the work.