We are looking for a professional to drive AI and business transformation initiatives, combining strategic thinking, execution discipline, and strong cross-functional stakeholder management.
This role will play a key part in shaping and driving AI-enabled transformation across the organization, working closely with business, product, AI, and IBT teams to translate strategic priorities into clear execution plans, adoption frameworks, and measurable business impact.
The role will be responsible for driving transformation execution governance, including initiative prioritization, business process understanding, dependency management, meeting outcomes, follow-up cadence, risk tracking, and cross-functional accountability across strategic initiatives.
Responsibilities:
Drive AI and business transformation initiatives from strategy into structured execution.
Work closely with business, product, AI, and IBT stakeholders to shape AI-driven capabilities and adoption processes.
Lead transformation execution governance, including planning, prioritization, follow-up, dependency management, and execution rhythm.
Translate business priorities into actionable plans, clear workstreams, and measurable outcomes.
Define KPIs, ROI models, and cost-related considerations to support decision-making and value realization.
Identify risks, gaps, dependencies, and blockers, and ensure timely escalation and resolution.
Build and implement transformation processes, governance structures, and execution frameworks.
Support senior stakeholders with clear communication, structured updates, and presentation materials.
Drive cross-functional alignment and accountability across multiple teams and initiatives.

We are seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment.
What will your job look like:
Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
Monitor progress and proactively drive issue resolution to maintain predictable delivery.
Define, track, and analyze execution KPIs.
Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
Drive transparency, accountability, and operational rigor across stakeholders.

As a Technical Program Manager (TPM) in the R&D PMO team. You will bridge the gap between large-scale organizational architecture and processes and modern, automated execution. You will be responsible for designing, implementing, and scaling critical cross-functional processes-such as R&D planning, dependency tracking, and operational governance-across multiple engineering and product divisions. You are proactive leader and an AI-fluent builder. You will lead complex stakeholder alignment across different groups, but you will also actively leverage AI workflows, low-code automations, and modern tooling integrations to bake your processes directly into our R&D environment. Your goal is to deliver operational solutions while permanently eliminating manual "administrative tax" for our developers.
Your Impact
Architect Cross-R&D Operating Models: Lead the end-to-end design, rollout, and optimization of massive cross-functional frameworks (e.g., quarterly/annual planning cadences, execution governance, and cross-team dependency mapping) aligning cross R&D teams with core business priorities.
Drive Stakeholder Alignment & Change Management: Serve as the central pivot across Engineering and Product functions. Navigate conflicting priorities, build high-trust alignment, and coach diverse teams through organizational changes.
Programmatic Process Automation: Actively explore, prototype, and implement smart tooling, API integrations, and AI-driven workflows to automate data aggregation, status tracking, and reporting-ensuring operational consistency without sacrificing developer velocity.
Optimize R&D Effectiveness: Mine and analyze R&D delivery metrics, telemetry, and performance data to identify systemic friction points. Deploy scalable engineering-adjacent solutions rather than adding manual check-ins or status meetings.