Sr. Technical Program Manager - AI

MeridianLink
$94,667 - $195,400

About The Position

We’re looking for a Sr. Technical Project Manager (TPM) to drive delivery for complex, cross-functional initiatives—including those involving AI/ML and intelligent automation. You’ll balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes. This role is ideal for someone who can run tight execution rhythms and understand the unique delivery needs of AI work (experimentation, data readiness, evaluation, governance, and iteration) in the rollout of the AI-Driven SDLC (AIDLC).

Requirements

  • 7+ years of technical program management in a software engineering organization, with at least 2 years in an AI, ML, or platform transformation context.
  • Demonstrated experience managing AI/ML initiatives or SDLC modernization programs — not just awareness, but delivery ownership.
  • Fluency with AI-driven SDLC concepts: AI-assisted requirements, co-pilot/code generation tooling, test automation, agentic deployment, and observability.
  • Ability to translate engineering complexity into executive narratives and vice versa; strong stakeholder management across CTO, VPs, and ICs.
  • Experience running programs that span multiple scrum teams, including offshore-heavy organizations.
  • Hands-on with program/project tooling (Jira, Confluence, or equivalents) and familiarity with engineering metrics (DORA, SPACE, or similar frameworks).

Responsibilities

  • Own end-to-end project execution: plan, schedule, and drive delivery across the full project lifecycle, balancing constraints and keeping work moving forward in partnership with product and engineering counterparts.
  • Build and maintain project plans, track milestones, and proactively manage risks, issues, and tradeoffs—providing clear stakeholder updates with recommended solutions.
  • Serve as the PMO lead for the ML's agentic platform and customer facing products — the structured methodology for developing, testing, deploying, and operating AI agents within MeridianLink’s agentic architecture.
  • Partner with engineering leads to embed AI into each SDLC phase: requirements (AI-assisted grooming agents), development (co-pilot and Claude Code standards), testing (test-driven development metrics), and release (zero-downtime deployment, feature flag governance).
  • Establish and continuously improve team processes that increase quality and productivity through process definition, education, and refinement.
  • Facilitate light weight agile ceremonies (planning, standups, retrospectives) and drive continuous improvement through retrospective assessments.
  • Use tools such as Jira (and related reporting) to support teams and enable visibility into progress, capacity, and delivery health. Bridge product and engineering AI alignment.
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