Careers · Forward-Deployed
Engagement Partner
When a business signs with Skoor, they don't get a login and a wish of luck — they get you. You're the human partner who turns their goals into deployed AI agents that do real work: a bookkeeper that keeps the books current, a director of procurement that runs purchasing, an operations lead that reports every week. You own the journey from first conversation to live system to real business impact.
About Skoor
How do you keep a restaurant's books current without hiring a bookkeeper? Run procurement for a contractor who's too busy to chase purchase orders? Give a business owner a finance team that never sleeps — and prove it's doing the job?
Frontier AI is here. Skoor is the company putting it to work in the businesses that keep the economy running— the restaurants, contractors, and service companies that never had a CFO's tooling or a back office that scales.
We're a team of builders who care about getting complex AI systems into production for real businesses with real stakes — turning frontier models into real-world, AI-powered solutions that actually get used. Skoor gives every business a team of named, accountable autonomous agents; each one carries a public Skoor Score, so it's a track record, not a black box. The agents run the work; the Engagement Partner makes sure it lands, gets adopted, and grows.
The role
This is a forward-deployed, full-stack customer role. You are:
- Part engagement manager — the primary face of Skoor to the customer.
- Part product manager — you decide what we deploy for them and why.
- Part delivery lead — you run the execution rhythm end-to-end.
- Part do-whatever-it-takes operator — you jump into the gaps to keep things moving.
What you'll do
- Own the customer relationship end-to-end. Be their day-to-day strategic partner and primary point of contact — candid about tradeoffs, trusted at every level.
- Shape what we deploy and why. Translate fuzzy business goals into crisp problem statements, journeys, and success metrics — and define with the customer what 'success' actually means.
- Turn messy problems into shipped solutions. Configure the right AI agents (procurement, bookkeeping, operations), shape the workflows and edge cases, and set the evaluation bar.
- Run the rhythm across multiple agents and customers. Weekly check-ins, risk tracking, and a synthesized report — keep work unblocked and on time.
- Create demand, not just fulfill it. Jump into early, messy conversations, tease out real pain, sketch solutions live, and spot the next role to deploy.
- Drive adoption and impact. Rollout, enablement, change management — make sure the agents actually get used and the results show up in the numbers.
- Bring judgment and clarity. When requirements are fuzzy or a customer changes course, be the person who says: here's what we're trying to do, here's what we know, here's the plan.
What you bring
- Customer-facing, high-stakes experience — projects where customers were under pressure, stakeholders weren't aligned, and the path wasn't obvious. Typically 4–8 years in product, consulting, or implementations; we care more about what you've done than the title.
- Real product and delivery experience — you've shipped with engineers and designers across cycles and can run an execution rhythm without turning it into process theater.
- Structured problem-solving and communication — you ask good questions, structure chaos, and move from whiteboarding with an owner to a crisp plan without losing the plot.
- Bias for action and ownership — you write the scrappy query, draft the playbook, jump into the demo. You make things happen.
- Comfort with ambiguity and intensity — you like messy, we-haven't-done-this-before problems and can juggle several customers with good judgment on incomplete information.
- AI curiosity, not AI dogma — you don't need deep AI expertise on day one, but you reason well, learn fast, and overuse AI in your own work.
How to apply
Email careers@skoor.ai with what you've built and why this role fits — a résumé is welcome but a story about a hard thing you shipped is better. Tell us about a time you turned a fuzzy goal into a live system someone actually used.