Drive engineering convergence across technical decision spaces, including data preparation, fine-tuning, sampling, and evaluation pipelines for differentially private synthetic data and privacy-preserving ML.
Own customer engagement strategy including customer intake, office hours, bi-weekly engagement reviews, and strategic cross-product area integrations. Identify systemic gaps between research platforms and product use cases to scale bespoke engagements into repeatable, self-serve workflows across Google.
Identify technical and operational barriers to adopting privacy tooling (data preparation bottlenecks) and build or coordinate AI-enabled prototypes and workflows to narrow the decision space and guide engineering investments.
Lead disciplined portfolio rhythms including weekly infrastructure syncs, bi-weekly customer engagement forums, monthly technical domain reviews, and 6-week planning cycles.
Author clear, outcome-focused upward leadership communications, quarterly OKR plans and scoring rationales, customer impact stories, and executive review materials for Research VPs, Directors, and partner product area leaders.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience as a technical program manager managing technical projects.
Experience presenting to, or influencing technical stakeholders or executive leaders.
Preferred qualifications
8 years of experience managing cross-functional or cross-team projects.
Ability to deal with ambiguity and work independently across multiple functions and product areas to drive alignment and deliverables.
Ability to communicate investigative findings and strategies to technical staff, executive leadership, legal counsel, and internal and external clients.
Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience as a technical program manager managing technical projects.
Experience presenting to, or influencing technical stakeholders or executive leaders.
