Blank Metal AI Product Leader at Blank Metal responsible for product delivery, client leadership, and applied AI strategy. Leads multiple engagements ensuring shipping, adoption, and measurable impact.
Responsibilities
The AI Product Leader sits at the intersection of product delivery, engagement leadership, and applied AI strategy. In practice it looks like: ~40% product delivery, ~40% client leadership, ~20% AI strategy. You will lead 2–3 concurrent engagements and be accountable for shipping, adoption, and measurable impact.
WHAT YOU GET TO DO
Product delivery and execution
Own backlogs, prioritization, and sprint execution across 2–3 engagements.
Run standups, planning, retros, and cross-team coordination with engineering/design/data.
Write crisp user stories and acceptance criteria; make trade-offs under real constraints.
Ensure production readiness: security, compliance, data governance, deployment, and operational runbooks.
Drive post-launch iteration using user feedback, telemetry, and KPI performance.
Client and engagement leadership
Lead client working sessions and check-ins; steer decision-making with exec and practitioner stakeholders.
Translate ambiguity into clear plans, milestones, and measurable outcomes.
Own delivery health: scope, risks, dependencies, and expectation management.
Qualification
You can run deliveryYou thrive in ambiguityWhat we’ll accept as equivalentEvaluation harnessesChange managementProfessional services experience
Required
You can run delivery: budget, backlog, sprints, trade-offs, and stakeholder alignment (without hiding behind process).
You are fluent in modern GenAI patterns (prompting, RAG basics, evaluation, iteration) and have hands-on experience using tools to build prototypes or workflows.
You thrive in ambiguity: starting with incomplete requirements, making decisions with imperfect information, and adapting as you learn.
What we’ll accept as equivalent
Client leadership can be external clients or internal “enterprise clients” where you owned budget, outcomes, timelines, and executive stakeholders.
Experience with AI-powered low-code platforms (V0, Bolt, Lovable) for rapid prototyping and stakeholder demos
AI experience can be GenAI product work or adjacent data/ML product work plus clear hands-on GenAI experimentation in the last 12 months.
AI/GenAI Product Manager who has also led enterprise delivery and exec stakeholders.
Engagement Manager/Delivery Lead from a SaaS/AI product company who has shipped software and can do product thinking.
Senior Product Owner/TPM with strong stakeholder leadership plus clear GenAI build/eval work.
Preferred
Evaluation harnesses, red-team testing, or model monitoring in production.
Regulated environments (healthcare/finance/insurance) and security/compliance constraints.