Sr. Technical Program Manager, FDE Engagements

Responsibilities

Pre-customer Environment Access

• Secure access to the customer's collaboration and development tooling.
• Align on agent behavior, functionality, and architecture.
• Define collaboration practices between FDEs and customer engineering teams.
• Establish deployment paths across customer development and cloud environments.
• Confirm business goals, technical scope, and success criteria.
• Coordinate onboarding requirements, dependencies, readiness activities, statements of work, contractor onboarding, access approvals, and execution planning.
• Prepare technical design inputs and break work into executable tasks.

Deliverables:

• Engagement overview deck
• Agent technical specification
• Agent architecture
• Mutually agreed-upon definition of success

Agent Build and Prototyping

• Enable joint engineering teams to develop agents locally and contribute to shared repositories.
• Establish a viable path to production deployment.
• Support a single-team execution model across MongoDB and customer engineers.
• Drive coordination, planning, risk management, communication, escalation, and execution tracking.
• Provide status updates and feedback to Product stakeholders.
• Address deployment restrictions, including VDI, artifact repository, and regulated-environment requirements.

Deliverables:

• Customer onboarding session
• Engagement status updates and Product feedback
• Working agent deployed to the product and integrated into the customer's cloud infrastructure

Readout and Closeout

• Confirm long-term ownership of the agent.
• Establish a roadmap for continued usage and development.
• Identify opportunities for future paid FDE support.
• Prepare an engagement readout covering the delivered work, business value, and continued investment and adoption path.

Deliverables:

• Engagement readout deck
• Internal perspective on future FDE engagement opportunities

Requirements

• 5+ years leading complex technical programs or engineering initiatives from initiation through delivery.
• Experience in customer-facing enterprise software, platform, infrastructure, or applied AI environments.
• Working fluency in AI application architectures, including LLM-based workflows, retrieval and grounding patterns, orchestration frameworks, and evaluation approaches.
• Ability to scope technical tradeoffs and partner credibly with technical teams.
• Experience operating in ambiguous, fast-changing technical environments.
• Strong planning, dependency management, decision-making, and cross-functional coordination skills.
• Ability to align Engineering, Product, customer stakeholders, and delivery teams across onboarding, design, deployment, executive readouts, and transition to long-term ownership.
• Fluency in spoken and written English.
• Strong written and verbal communication skills, including technical documentation, decision records, and communication tailored to technical, executive, and customer audiences.
• Ability to connect technical delivery decisions to customer business value, adoption, and long-term growth opportunities.

Nice-to-Haves

• Experience in forward-deployed, embedded, or other high-touch customer delivery models.
• Experience with regulated or operationally constrained environments, enterprise access controls, non-standard development tooling, artifact repositories, and deployment governance.