About SolveAI: SolveAI empowers enterprise business users to solve their most critical problems by enabling them to build custom full‑stack applications through natural language conversations. The product is designed for non‑technical business users, allowing them to turn insights into production‑ready, enterprise‑grade solutions.
What We Offer
- High‑impact environment: Join a company shaping the future of enterprise software, working with a team that is redefining how AI meets real‑world business needs.
- Ownership and visibility: In a small, high‑performing team, the impact of your work shapes the company’s direction.
- Empowerment through innovation: Use cutting‑edge AI tools internally. You will work with the same technology we deliver to enterprises.
About the Role
As a Deployment Strategist, you will own customer deployments end‑to‑end, from the first discovery call to a workflow that is live, adopted, and expanding. You will work directly with enterprise customers to understand how their organizations operate, identify where AI can create the most leverage, and drive implementation through the ambiguity, politics, and technical constraints that come with it. This role sits at the intersection of project management and engineering, requiring comfort in both CFO discussions and debugging integrations with engineering teams.
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, and reduce friction.
- Translate customer patterns into product insight: spot repeatable patterns and feed them back to the team.
- Navigate stakeholder complexity across executive, operational, and technical audiences.
What We’re Looking For
Beyond execution ability, we look for structured thinking, a strong customer instinct, ownership, and experience on the execution side. You should have a strong background in customer‑facing, ambiguous environments such as 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.
- Familiarity with prompt engineering, workflow orchestration, or LLM‑powered products.
- Experience running enablement sessions or customer training programmes.
- Background spotting scalable patterns from bespoke customer work and influencing product direction.
Why SolveAI
At SolveAI, you’ll work alongside a team that has spent decades solving the hardest enterprise challenges, from operational inefficiencies to data fragmentation. If you want to see real change in the world, care deeply about value add, and thrive when given ownership in unfamiliar environments, we’d love to hear from you.
#J-18808-Ljbffr…