Senior Technical Program Manager, FDE Engagements

MongoDB

Confirmed live 2 days ago High trust

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Posted
43 days ago
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Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $200k
$144k most similar roles pay here $265k

This listing doesn't post a salary. Most similar roles pay $174,950–$224,475.

Based on 240 similar postings.

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About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Senior Technical Program Manager, FDE Engagements

The Sr. Technical Program Manager, FDE Engagements oversees the lifecycle of forward-deployed engineering engagements where Forward Deployed Engineers partner with customer teams to build working agents. This role sits at the intersection of customer delivery, AI agent development, and product feedback. You will manage program execution by aligning stakeholders, managing risks, removing operational blockers, and ensuring clear communication across the engagement lifecycle. Responsibilities include securing customer environment access, defining technical architectures, coordinating onboarding, and tracking deployment paths for agents in cloud environments. The role requires expertise in modern AI application architectures, including LLM-based workflows, retrieval and grounding patterns, and orchestration frameworks. You will navigate complex requirements like regulated industry constraints and non-standard development tooling to ensure successful agent delivery while providing critical feedback to internal product teams to inform future platform improvements.

What does a Technical Program Manager earn?

Median $193000 from 169 postings across 37 companies.

See salary data

What you'll do

  • Oversee the full lifecycle of forward-deployed engineering engagements to build working AI agents for customers.
  • Manage project risks, dependencies, and operational blockers while ensuring clear ownership and communication across all stakeholders.
  • Secure early access to customer tools and define technical requirements, scope, and success criteria for agent development.
  • Coordinate onboarding processes, including contract management, infrastructure setup, and cross-functional team alignment.
  • Drive the execution of joint engineering workstreams by breaking down technical specifications into actionable tasks.
  • Monitor and report product feedback from live engagements to internal Product and Engineering teams.
  • Navigate complex deployment hurdles in regulated environments, such as managing restricted cloud access and non-standard tooling.
  • Conduct engagement readouts to demonstrate business value and transition customers to long-term ownership of the developed agents.

What we're looking for

  • 5+ years of experience leading complex technical programs or engineering initiatives from initiation through delivery in 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.
  • Demonstrated success operating in ambiguous, fast-changing technical environments using structured planning and proactive dependency management.
  • Ability to partner across Engineering, Product, and customer stakeholders to align goals, scope, priorities, and timelines throughout the engagement lifecycle.
  • Fluency in English, both spoken and written.
  • Strong communication skills to produce clear documentation and tailor messaging for technical, executive, and customer audiences.
  • Experience in forward-deployed, embedded, or other high-touch customer delivery models is preferred.
  • Experience working with regulated or operationally constrained customer environments including enterprise access controls and non-standard development tooling is preferred.

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