Outcome-Based Engineering Delivery at Luminary
Building a specialist delivery model around one accountable technical lead and a clearly defined customer outcome.
Business context
As customer engagements grew in complexity, individual forward-deployed engineers owned the customer relationship alongside CAD, simulation, model training, inference deployment, adoption, and expansion. Engagements often ran for three to four months or longer, and technical dependencies repeatedly interrupted progress.
The challenge
Structure delivery for growth: give customers a clear point of contact, bring the right technical specialists into each engagement, and deliver focused value before requirements drifted over a lengthy project.
My role
I worked with the field CTO to reshape the FDE delivery organization. I authored the core ethos of our outcome-based delivery approach and helped make staffing decisions for lead delivery engineers and individual projects. I also co-owned Product/Delivery integration and led matrixed teams of 2–4 engineers.
Contributions & implementation
Delivery Team Design: Helped establish matrixed delivery teams with application and AI/ML specialists, supported by a lead delivery engineer who owned the customer engagement.
Outcome-Based Planning: Wrote the core principles of a delivery approach centered on explicit customer outcomes and focused deliverables. The strategy was adopted across 12 customer accounts.
Staffing & Technical Ownership: Participated in staffing decisions for lead delivery engineers and project teams, matching technical capabilities to engagement needs while preserving one accountable customer-facing lead.
Product/Delivery Integration: Introduced expectations for Product Engineering to actively support customer engagements, bringing engineers closer to customer needs and strengthening alignment with commercial teams.
Execution Focus: Helped teams concentrate on delivering what the customer needed quickly, with specialist support to work through technical blockers.
Helped reduce minimum delivery time from approximately 12 weeks to 5 weeks, measured from project kickoff to the customer running inference and accepting model performance.
Customers received focused deliverables and value sooner, with a single technical point of contact backed by a team of specialists. Shorter engagements also reduced the opportunity for customer requirements to drift before delivery.

