FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
About the role
Key responsibilities & impact- Serve as the technical counterpart to sales throughout the sales process, helping scope what is feasible, what the path to production looks like, and what a realistic engagement structure should be.
- Handle the strategic and feasibility layer of technical conversations with prospects and clients: use case fit, sequencing, data requirements, timeline realism, and risk.
- Ensure that what gets scoped and sold is what can actually be delivered, preventing commitments that do not survive contact with reality.
- Run structured discovery with client stakeholders within active engagements to surface AI use cases, working across business units to understand pain points, workflows, and data landscape.
- Build and maintain a scored use case backlog for each engagement, evaluating opportunities against feasibility, data readiness, and measurable business impact.
- Write clear product specs that translate business problems into technical requirements engineering can build against, covering inputs, outputs, constraints, and success metrics.
- Drive iterative development cycles, working hands-on with prompt engineering and agent design decisions alongside the technical team.
- Own the definition of what success looks like for every AI deployment, connecting model performance to the business outcomes the client actually cares about.
- Serve as the connective tissue between business stakeholders and engineering, ensuring technical teams build what matters and business leaders understand what is possible.
Requirements
What you’ll need- 3+ years of experience in product management, technical program management, or a closely related role, with direct exposure to AI or ML products.
- Working knowledge of modern AI systems—what LLMs and agents can and cannot do—and the ability to update that mental model as the technology evolves.
- Proven ability to navigate technical conversations credibly without being an engineer: ask the right questions, assess feasibility, and know when to escalate.
- Strong written and verbal communication skills—clear, direct, and free of jargon when working with both executive stakeholders and technical teams.
- Experience managing multiple concurrent client engagements or projects without letting quality slip.
Benefits
Comp & perks- Competitive compensation (base salary + performance incentives tied to client outcomes).
- Equity options in a growing AI services company.
- Exposure to a wide range of industries and high-impact AI problems.
- Travel opportunities for on-site client engagements (if desired).
- A collaborative, mission-driven team passionate about the real-world impact of AI.