AI Product Lead

We are open to remote candidates based in the Americas time zones.

Zero is a small team inside Metalab.
We explore new tools, workflows, and ways of building products. We test ideas fast, validate what works, and feed learnings back to the broader org.
Half the effort is full-time R&D. The half we're hiring for runs client projects to put the research to the test.
You run projects end-to-end: stakeholders, scope, budget, pace, ship on time. You push for velocity and clarity over process and ceremony. You feed back honestly to the people building the tools.
If a project works because you were there, that's good. If it works because the system was there and you ran it well, that's the point.
You're curious, adaptable, and excited that project delivery is changing in real time.
This isn't a shepherd-the-handoffs role. The agent infrastructure (Concretely: a stack of skills, agents, and feedback loops that triage requests, draft updates, summarize meetings, and handle the coordination work a project lead used to do by hand) is becoming our operating system — and you're the one who improves it.

• Run client engagements end-to-end across web, mobile, AI-native, and emerging product surfaces
• Translate ambiguous briefs into structured delivery, working prototypes, and shipped product
• Collaborate closely with design and engineering leads on the work itself while not being afraid to own the delivery system around it
• Present work clearly to clients and internal teams, holding the line on scope, budget, and quality with honesty rather than ceremony
• Use AI tools and agents as a core part of your workflow to triage, draft, prioritize, summarize, and accelerate our Client’s outcomes
• Build, test and maintain skills, agents, and workflows like code — version them, improve them as the team's taste sharpens, and feed honest learnings back to R&D

• Project delivery experience at a digital product agency, studio, or consultancy, ideally in a Senior or Lead role
• Product delivery experience at a startup, scale-up, or large organization is excellent experience, as well
• Demonstrated mastery of running a project end-to-end — prioritization, sequencing, scope, dependencies, and the artifacts that keep design and engineering unblocked
• You don't just use AI — you build with it. Likely in your personal life and hobby time. You've shipped skills, agents, or automated workflows that did real work and ran on their own.
• A bias toward owning the outcome, not just the plan — carrying product, user, and technical context across the team without letting threads drop
• Sharp judgment on what to ship next and what to cut, keeping the team focused on solving the right problem at the right time
• Passionate about staying ahead of how AI is changing product delivery, with a personal point of view on what's working and what isn't
• Happy working with R&D — taking ideas and prototypes out of experimentation, and folding the findings back into how the broader org delivers