Gloat is building the AI-native platform for HR, where agents do the work that used to live in tickets, forms, and endless screens. We act as a small team building a category creation product, and you'll work directly with the founders on what it becomes.
How we work
Impact, not job titles. No task is above or beneath anyone. You'll do the research, write the spec, and stand up the prototype yourself.
AI-first, for real. We build with AI across the whole company - not as a talking point, as the way we work.
The best idea wins. Not the loudest voice, not the most senior one. Bring conviction and evidence.
Small teams, high leverage. You'll decide what we build next, why, and in what order - then drive it to ship.
What you'll do
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 matters 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.
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.
Requirements
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.
This is an intense environment, and we think intensity and balance can coexist - we don't confuse being busy with being effective, and we care about doing this for the long haul. But we're a small team defining a category in a fast-moving space, and we move quickly. If you want a fully-scoped roadmap handed to you and heavy process to lean on, this won't be the fit. If you want to build the thing that doesn't exist yet, it might be.
Benefits
Product manager in B2B companies at least in too organizations, on top of IDF service
experience from Banks, Insurance, only B2C companies is not relevant
Hands-on with LLMs and agentic tools in your daily work (Claude, Cursor, n8n, Replit, Lovable, or similar) Must