Senior Engineering Program Manager, Lead Service Special Projects

We are looking for a highly seasoned Senior Engineering Program Manager to help get one of our most ambitious multi-year engineering programs off the ground. nnThis is a hands-on lead-level role for a seasoned program manager who has experience delivering large-scale and technically deep multi-team efforts from their inception. If you thrive when the problem is broad the org is scaling up around them and the technical stakes are high this may be the role for you!

In this role you will be the connective tissue across engineering research design and business functions from day one turning ambitious goals into a coordinated measurable plans that will drive our team forward. nnYou will own the end-to-end program management of a large-scale cross-functional engineering initiative spanning client software backend services large-scale data systems applied machine learning evaluation tooling and platform engineering. You will be accountable for the plan of record roadmap milestones dependencies risks and the executive-level narrative and for the operating cadence that keeps every team aligned on what is expected by when and will need to be technical enough to hold your own in an architectural review and in a candid scoping conversation with a Principal Engineer. You will not write production code but you will read designs ask sharp questions and translate deeply technical discussions into crisp faithful summaries for leadership. When the program drifts you will identify it early name it clearly and drive the correction with calm is a lead role. Alongside your own work-streams you will shape the program management practice mentoring other EPMs standardizing how progress is tracked and raising the bar for how we plan and

Building and owning a credible plan of record roadmap milestones dependencies critical path for programs with dozens of engineers and multiple partner AI/ML capabilities in production moving a system from research prototype through evaluation hardening and launch with explicit quality bars and rollback risks early developing mitigation strategies and driving conflict resolution across senior technical stakeholders.n Navigating ambiguity creating clarity when scope requirements and priorities are still many parallel work-streams in real time without losing the thread on any of and aligning teams without direct authority including senior engineers architects applied researchers and cross-functional durable operating rhythms planning cycles review cadences escalation paths postmortems that scale with the technical status trade-offs and recommendations to executive audiences with precision and honesty.n

Bachelors Degree plus at least 15 years of experience developing program plans and managing complex cross-functional engineering programs in a technical product environment with at least 3 years in a lead or principal-level leading AI-first programs end to end programs where the core product value is delivered by machine-learning or large-language-model systems and where planning scoping and quality bars are inseparable from model behavior and experience running programs that span multiple engineering disciplines client services data applied ML platform and tooling end to technical depth: able to read engineering design documents follow architectural discussions across several disciplines and independently reason about trade-offs dependencies and literacy with the modern AI stack model training and evaluation lifecycles offline vs. online metrics data pipelines feeding models latency/cost trade-offs and the difference between a research result and a production-ready written and verbal communication skills including a track record of writing crisp executive updates and delivering technical narratives to senior leadership.n

MS or other advanced degree. nProject Management Certifications. nExperience with evaluation-driven engineering programs where the definition of done depends on measured quality against explicit metrics. nFluency with modern engineering tooling issue trackers planning systems dashboards with a bias toward instrumenting programs so status is derived not narrated.