Technical Program Manager - Context Engine

Context Engine is one of the most strategically significant and technically complex programs in the client's portfolio. It is a governed enterprise data foundation that spans ingestion, semantic modeling, metadata management, and runtime access patterns across the platform. It sits at the intersection of data engineering, AI / ML infrastructure, and enterprise data governance, with dependencies that run horizontally across nearly every other product and platform initiative.

About the role

This role requires a Technical Program Manager with the depth and maturity to operate in an environment where the technical surface is wide, the stakeholder map is broad, and the margin for ambiguity is low. The TPM will drive architectural and delivery decisions, engage directly with engineering and product leadership, and ensure the program ships on a consistent, predictable cadence. The role involves managing cross-program dependencies, maintaining a single source of truth for program status, and leading design partner engagement to influence delivery priorities.

Responsibilities

• Own the Context Engine program plan end-to-end—workstream decomposition, dependency mapping, milestone sequencing, and delivery tracking across engineering, data platform, and product teams.
• Engage directly with engineering leads and architects to understand technical scope, surface cross-team dependencies early, and drive resolution of blockers that require cross-functional input.
• Define and enforce program-level delivery processes—including sprint-to-release mapping, shift-left testing integration, incremental delivery gates, and release readiness criteria.
• Manage the dependency surface between Context Engine and adjacent programs (Agentic Memory, ADP, Elastic Compute, and Fabric as a Service)—maintaining clear interfaces, handoff criteria, and escalation paths.
• Drive the program toward a high-frequency, incremental release cadence—identifying and eliminating structural, process, and coordination bottlenecks.
• Own program-level risk management: identifying technical and organizational risks early, quantifying their delivery impact, and driving mitigation with appropriate urgency and specificity.
• Build and maintain the authoritative tracking artifact for Context Engine—a single leadership-visible view of workstream health, milestone status, open risks, and decisions needed.
• Lead design partner and early adopter coordination—translating customer feedback into structured input for engineering prioritization and validating delivered capabilities meet intended use cases.
• Represent Context Engine program status in leadership reviews—communicating with precision, flagging risk without ambiguity, and driving decisions rather than deferring them.
• Contribute to program management practice development—establishing reusable templates, delivery frameworks, and operating norms that raise the floor across the broader TPM organization.

Requirements

• 10+ years of technical program management experience in the tech industry, with a track record of owning complex, multi-team, horizontally scoped programs.
• Deep technical fluency in data platform, data infrastructure, or AI / ML systems—sufficient to engage meaningfully with architects and engineers on design decisions, integration interfaces, and technical tradeoffs.
• Demonstrated experience driving programs with a high degree of ambiguity, broad stakeholder surface, and significant cross-team dependency management.
• Strong command of delivery frameworks—Agile, incremental delivery, shift-left testing, release management—and the judgment to apply them pragmatically rather than dogmatically.
• Proven ability to build trust and influence across engineering leadership, product management, and executive stakeholders without direct authority.
• Exceptional written and verbal communication—able to distill complex technical and program status into crisp, decision-ready narratives for senior audiences.
• Bachelor's Degree in Computer Science, Engineering, or a related technical discipline (required).

Skills

• Experience with governed data platforms, semantic layers, metadata management systems, or enterprise AI / ML infrastructure programs.
• Familiarity with agentic AI architectures, RAG pipelines, or enterprise data foundation patterns.
• Experience managing design partner or early adopter programs in a B2B enterprise software context.
• PMP, PgMP, or equivalent certification; SAFe or comparable Agile framework experience at scale.
• Advanced degree in computer science, data engineering, or a related technical field.

Benefits

• 401k Retirement Savings Plan administered by Merrill Lynch
• Commuter Check Pretax Commuter Benefits
• Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO

Pay

$70 - $75 / hour