About SolveAI

Most enterprise problems never get solved in software, because the person who understands the problem and the person who can build the fix are never the same person. SolveAI closes that gap.

Our platform lets the people closest to the problem build real, production-grade software by describing what they need in plain English. It plugs into the enterprise stack as it actually exists, and what it ships clears the bar enterprises actually hold software to: secure, compliant, reliable, maintainable, and able to scale. The result is software tailored to each customer's environment, owned by them.

Unlike the wave of "vibe coding" tools squinting at the enterprise from the consumer world - hoping the hard parts can be bolted on later - we started at the hard end. For us, that bar is the foundation we build on, not a roadmap item.

We can do this because of who's in the room: a team that's spent decades operating inside the world's most complex organisations, not just observing them. Backed by GV and Accel, built by an ex-Palantir team, and already live with enterprise customers.

What We Offer

High-impact environment: Join a company shaping the future of enterprise software, working with a team that's redefining how AI meets real-world business needs

Ownership and visibility: In a small, high-performing team, the impact of your work isn't theoretical - it actively shapes the company's direction

Empowerment through innovation: Use cutting-edge AI tools internally. You'll be working with the same technology we deliver to enterprises

About the role

As a Deployment Strategist, you'll own customer deployments end-to-end: from the first discovery call to a workflow that's live, adopted, and expanding. You'll work directly with enterprise customers to understand how their organisations really operate, identify where AI can create the most leverage, and drive implementation through the ambiguity, politics, and technical constraints that come with it.

This isn't a project management role and it isn't a pure engineering role. It sits at the intersection of both, and the people who thrive here are ones who are just as comfortable in a room with a CFO as they are debugging an integration with an engineering team.

What you'll do

Lead customer discovery: identify operational bottlenecks, uncover high-impact workflows, and turn vague pain into a deployable solution

Own deployments end-to-end: discovery, workflow design, implementation, rollout, training, and iteration

Rapidly prototype and validate workflows with customers: shorten the loop between idea and live deployment

Act as the bridge between customer stakeholders, product, and engineering: align priorities and keep things moving

Drive adoption: design workflows people will actually use, build internal champions, reduce friction

Translate customer patterns into product insight: spot what's repeatable and feed it back to the team

Navigate stakeholder complexity across executive, operational, and technical audiences

What we're looking for

Beyond execution ability, we're looking for:

Structured thinking. You can absorb messy information quickly, find the root problem, and prioritise without being told what matters.

Customer instinct. You build trust fast. You listen well. You don't oversell and you don't go quiet when things get hard.

Ownership. You drive things to completion without being chased. You treat the customer's problem as your own.

On the experience side:

Strong background in customer-facing, ambiguous environments: solutions engineering, deployment strategy, consulting, customer engineering, or operational transformation

Track record of translating business problems into practical technical workflows

Comfortable discussing APIs, integrations, AI systems, and deployment constraints with engineering teams

Experience driving adoption and organisational change, not just delivering implementations, but making them stick

Nice to have

Experience deploying AI, automation, or workflow systems into enterprise environments