You'll own a core part of the platform end to end — from the primitives our customers build on to the experience of configuring and running agents inside a live enterprise. You'll have a lot of ownership while staying in the details day to day.
You'll succeed here if:
- You build and work with AI tools yourself and can speak concretely about where they're strong and where they break.
- You think in systems and data models, not screens - you get why the underlying record and data matter more than the UI on top of it.
- You have real opinions about how agents should behave in production, and the judgment to know when a slick demo won't survive contact with a real customer.
- You move fast, make tradeoffs explicit, and are comfortable making informed calls without perfect information.
What you'll do
- Own product areas from discovery to launch. Run the research, make the calls, ship the thing.
- Own the primitives agents are built from - how they get context, which tools and systems they can act on, how work moves between them, and where a human stays in the loop. You're designing the composable layer, not one-off agents.
- Build for extensibility. The people configuring agents on this platform are our customers, so the connectors, configuration, and guardrails have to hold up in hands you've never met.
- Design how agents behave, what they know, what they're allowed to do, when they act, and when they hand off to a human.
- Prototype your own ideas. Show, don't tell: stand up a working demo before it eats engineering time.
- Sit close to customers (CHROs, HRIT, HR leaders), and turn what you hear into product decisions.
- Make the hard calls on scope and sequencing, including what not to build.
What we're looking for
- Strong product and operational judgment, and product taste you can defend.
- Hands-on with LLMs and agentic tools in your daily work (Claude, Cursor, n8n, Replit, Lovable, or similar).
- Real intuition for agentic systems: prompting, context, tool use, evals.
- Comfort with data models and enough technical range to read code, query data, and build your own prototypes.
- Extreme speed and clarity. Shameless curiosity. Allergic to unnecessary process.
Nice to have
- HR tech, enterprise SaaS, or systems-of-record background.
- Shipped a 0→1 product to market.