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[Remote] AI Product Manager (NYC-based)
Note: The job is a remote job and is open to candidates in USA. TribalScale is hiring a Digital Product Manager to lead client engagements from discovery and scoping through delivery across AI agent development, greenfield products, platform modernization, and AI-native enablement. The role translates ambiguous business needs into scoped, sequenced work and partners with clients and agentic engineering teams to deliver measurable outcomes.
Responsibilities
- Own client engagements end-to-end — from discovery and scoping through delivery, acting as the primary product voice with the client, not hidden behind an account manager
- 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, balancing technical debt against delivery speed
- Design and help deliver AI-native enablement — work with clients' own product and engineering teams to build their internal muscle for agentic development, not just hand off a finished product
- Translate ambiguous client asks into scoped work — write PRDs, define success criteria, and sequence delivery so engineers know exactly what to build and why
- Partner directly with agentic engineers — understand the difference between a deterministic workflow and a true agentic use case, and help the team pick the right one for each engagement
- 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, and hold the team accountable to it
- Bring craft to how TribalScale delivers AI-first work — contribute back to internal playbooks on scoping agentic builds, platform rebuilds, and client enablement
Skills
- 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, not just one internal product team. You know how to manage client expectations and protect scope
- 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 (not just prompted a chatbot). You understand the tradeoffs between agentic and deterministic approaches
- Comfort working alongside agentic engineers — you can hold a technical conversation about architecture, evals, and guardrails without needing everything translated for you
- Teaching instinct — you can explain agentic concepts to a client's non-technical stakeholders and their engineers, and you get satisfaction from leveling up someone else's team
- Strong client-facing presence — you can present to a VP-level stakeholder, handle pushback, and say no when it's warranted
- Sharp scoping and prioritization instincts — you can turn a vague brief into a one-page plan quickly and defend the tradeoffs
- Comfortable in ambiguity — you don't wait for a fully-formed spec to start moving
- 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
- Remote in Canada
Company Overview