or apply directly on TribalScale's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days TribalScale's roles stay open a median of 59 days
- Reposted
- No
- Salary listed
- No 0% of TribalScale's roles list one
- Ghost-job risk at TribalScale
- high 9 stale, 0 reposted of 14 open
- Hiring momentum
- 18 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from TribalScale's own greenhouse board since 2026-08-03. Full hiring picture for TribalScale.
About this role
The AI Product Manager at TribalScale will oversee client engagements from discovery to delivery, focusing on building AI agents, modernizing legacy platforms, and enabling client teams to adopt AI-native practices. This role requires translating ambiguous client needs into actionable plans, managing multiple projects simultaneously, and collaborating closely with engineering teams to ensure successful outcomes. The position emphasizes a hands-on approach to product management in a consulting environment, requiring strong client interaction and technical understanding.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of TribalScale as an employer.
What you need
- 5+ years in product management with ownership of scope, roadmap, and delivery outcomes
- Agency or consulting experience managing multiple clients or accounts
- Experience with at least two of the following: zero-to-one greenfield build, legacy platform rebuild/migration, client-facing enablement or training engagement
- Hands-on experience with AI agents, including scoping, building, or shipping agentic products
- Ability to hold technical conversations with engineers about architecture and guardrails
- Teaching instinct to explain agentic concepts to non-technical stakeholders
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
Worth weighing
- No salary listed
- Role requires managing multiple client relationships simultaneously
- Expectations for client enablement and teaching may add complexity to engagements
- The position involves significant ambiguity and requires proactive problem-solving
Summarised from TribalScale's posting. Read the full original.
Listed by TribalScale on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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