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Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems. The company serves systems and engineering leaders at aerospace, defense, automotive, and hardware companies.
You will lead the forward deployed engineering function, owning the customer success and expansion journey after deal close. This role sits at the intersection of engineering, product, and revenue. Your team will be responsible for integrating Flow into each customer's engineering stack, building AI workflows around their real processes, driving adoption across teams, and expanding accounts into new programs and business units.
Key responsibilities:
- Build and lead the forward deployed engineering team from the ground up, including hiring, setting the operating model, and defining cross-functional collaboration with sales, product, and engineering.
- Own end-to-end customer integrations, connecting Flow to PLM, ALM, CAD, simulation, and issue tracking tools customers rely on.
- Design and deploy AI workflows tailored to each customer's requirements and systems engineering process; turn successful patterns into repeatable playbooks.
- Drive product adoption and usage within accounts by tracking adoption metrics, identifying blockers, and expanding Flow from single-team pilots to broad organizational use.
- Own customer expansion by partnering with account executives to identify new programs, teams, and use cases, and building the technical case for growth.
- Convert clean handoffs from sales engineers into successful production deployments.
- Feed field learnings back to product and engineering to influence the roadmap based on real customer needs.
- Remain hands-on: write code, build integrations, and work directly with customer engineers when needed.
Requirements:
- 7+ years in forward deployed engineering, solutions engineering, software engineering, or a technical customer-facing role, with 2+ years leading a team.
- Strong technical foundation: ability to build integrations, reason about APIs and data models, and understand how software fits into complex engineering stacks.
- Hands-on experience building with LLMs or deploying AI-driven workflows in production for customers.
- Track record of driving adoption and expanding accounts, not just delivering projects.
- Ability to operate across customer organizations, from individual engineers to VPs and program leads.
- Ability to build a function from early stage, balancing hands-on execution with setting structure for a growing team.
- Comfort in fast-moving environments where product, customer base, and team are scaling quickly.
Nice to have:
- Familiarity with requirements, systems engineering, PLM, or ALM tooling (Jama, DOORS, etc.).
- Background in or working with defense, aerospace, or regulated hardware environments.
- Experience with security and compliance requirements common in these industries (ITAR, CMMC, on-prem or restricted deployments).
