Sr. Technical Program Manager, Fde Engagements

MongoDB MongoDB · Enterprise · New York, NY · Magenta

This role oversees the lifecycle of forward-deployed engineering engagements where engineers partner closely with customer teams to build working AI agents. The role is at the intersection of customer delivery, AI agent development, and product feedback, driving successful delivery by aligning stakeholders, managing risks, and ensuring clear communication. The responsibilities include pre-customer environment access, agent build and prototyping, and readout/closeout of engagements, ensuring customers realize business value and inform future product direction.

What you'd actually do

  1. Oversees the lifecycle of forward-deployed engineering engagements in which MongoDB Forward Deployed Engineers (FDEs) partner closely with customer engineering teams to build working agents.
  2. Drives successful delivery by aligning stakeholders, managing risks and dependencies, removing operational blockers, and ensuring clear ownership, communication, and decision-making across the engagement lifecycle.
  3. Partners with the assigned FDE team, account teams, and customer stakeholders to coordinate onboarding requirements, dependency management, planning, and readiness activities.
  4. Drives coordination, planning, risk management, communication, escalation and execution tracking across the engagement.
  5. Ensures the customer has a roadmap for continued usage and development.

Skills

Required

  • 5+ years of experience leading complex technical programs or engineering initiatives from initiation through delivery, including planning, execution, and cross-functional coordination in customer-facing enterprise software, platform, infrastructure, or applied AI environments.
  • Working fluency in modern AI application architectures, including LLM-based workflows, retrieval and grounding patterns, orchestration frameworks, and evaluation approaches, with the ability to partner credibly with technical teams and scope technical tradeoffs.
  • Demonstrated success operating in ambiguous, fast-changing technical environments and driving programs forward through structured planning, proactive depe

What the JD emphasized

  • customer delivery
  • AI agent development
  • product feedback
  • live enterprise environments
  • accelerate successful agent delivery
  • program execution
  • engagement outcomes
  • LLM-based workflows
  • retrieval and grounding patterns
  • orchestration frameworks
  • evaluation approaches
  • regulated industries

Other signals

  • customer delivery
  • AI agent development
  • product feedback
  • live enterprise environments
  • accelerate successful agent delivery
  • program execution
  • engagement outcomes
  • LLM-based workflows
  • retrieval and grounding patterns
  • orchestration frameworks
  • evaluation approaches