[Hiring] AI Product Manager @TribalScale

Role Description

We're looking for a Digital Product Manager who can own a client engagement end-to-end — from scoping to shipped product — across three kinds of work:

• Building new AI agents
• Standing up greenfield products the agentic way
• Helping established companies rebuild aging platforms and level up their teams to work AI-natively

You'll sit between clients and agentic engineering teams, turning ambiguous business problems into scoped, sequenced, shippable work.

This isn't a role for someone who's only managed roadmaps in a single-product SaaS company. Some engagements will be zero-to-one greenfield builds, while others will involve rebuilding a client's legacy platform without breaking what already works.

You've worked in an agency or consulting environment, know how to run multiple client relationships at once, and can say "no" to a client gracefully when the ask doesn't hold up.

What You'll Do

• Own client engagements end-to-end — from discovery and scoping through delivery, acting as the primary product voice with the client.
• Scope and run greenfield product builds — take a zero-to-one idea and turn it into a sequenced, shippable roadmap built the agentic way from day one.
• Lead platform rebuild and modernization engagements — help clients replatform or rebuild legacy systems without stalling their existing business.
• Design and help deliver AI-native enablement — work with clients' own product and engineering teams to build their internal muscle for agentic development.
• Translate ambiguous client asks into scoped work — write PRDs, define success criteria, and sequence delivery.
• Partner directly with agentic engineers — understand the difference between a deterministic workflow and a true agentic use case.
• Set guardrails and evaluation criteria for AI agents before they touch a client's real data or production environment.
• Manage multiple concurrent engagements — prioritize ruthlessly across clients with competing timelines, budgets, and engagement types.
• Run the room — client steering committees, sprint reviews, and the hard conversations when scope, timeline, or feasibility shifts.
• Report on outcomes, not just output — define what success and ROI look like for each engagement type.
• Bring craft to how TribalScale delivers AI-first work — contribute back to internal playbooks on scoping agentic builds, platform rebuilds, and client enablement.

Qualifications

• 5+ years in product management, with real ownership of scope, roadmap, and delivery outcomes.
• Agency or consulting experience — you've worked across multiple clients or accounts.
• Range across engagement types — you've run at least two of: a zero-to-one greenfield build, a legacy platform rebuild/migration, and a client-facing enablement or training engagement.
• Hands-on experience with AI agents — you've scoped, built, or shipped agentic products or workflows.
• Comfort working alongside agentic engineers — you can hold a technical conversation about architecture, evals, and guardrails.
• Teaching instinct — you can explain agentic concepts to a client's non-technical stakeholders and their engineers.
• Strong client-facing presence — you can present to a VP-level stakeholder and handle pushback.
• Sharp scoping and prioritization instincts — you can turn a vague brief into a one-page plan quickly.
• Comfortable in ambiguity — you don't wait for a fully-formed spec to start moving.

Nice to Have

• Experience with LLM evaluation frameworks or agent observability tooling.
• Background in a technical role (engineering, data, or QA) before moving into product.
• Experience managing engagements in regulated industries (finance, healthcare).
• Experience designing or delivering technical training, workshops, or enablement programs for client teams.
• Track record of writing or speaking publicly about product or AI topics.

Benefits

• Collaboration at the heart of our innovative approach.
• Empowerment and transparency in our work culture.
• Commitment to diversity and equal opportunity in employment.