Staff Technical Program Manager, Data Engineering

Pinterest, San Francisco, CA +2

What you will do

Own the strategy and execution of a multi-year portfolio of data platform modernization programs — spanning ingestion (CDC/Kafka/Flink), table format migrations (Hive to Iceberg), workflow consolidation, and legacy system deprecation — in partnership with engineering leaders across Data Engineering.
Lead migrations across multiple orgs involving many producer and consumer teams: anticipate technical failure points early, resolve core technical uncertainties with engineering, and settle cross-org priority conflicts.
Define the portfolio's metrics, governance, and reporting mechanisms so engineering, Platforms leadership, and Finance have a clear, current view of progress, validated savings, risk, and decisions.
Own a large data infrastructure efficiency portfolio end to end, from savings strategy and forecasting to validation with team-level DRIs, Finance, and InfraGov.
Influence senior leadership (up to VP/e-staff) with clear recommendations on technical tradeoffs, investment, and sequencing, and drive consensus across orgs.

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Staff Technical Program Manager, Data Engineering

Pinterest, San Francisco, CA +2

What you will do

Own the strategy and execution of a multi-year portfolio of data platform modernization programs — spanning ingestion (CDC/Kafka/Flink), table format migrations (Hive to Iceberg), workflow consolidation, and legacy system deprecation — in partnership with engineering leaders across Data Engineering.
Lead migrations across multiple orgs involving many producer and consumer teams: anticipate technical failure points early, resolve core technical uncertainties with engineering, and settle cross-org priority conflicts.
Define the portfolio's metrics, governance, and reporting mechanisms so engineering, Platforms leadership, and Finance have a clear, current view of progress, validated savings, risk, and decisions.
Own a large data infrastructure efficiency portfolio end to end, from savings strategy and forecasting to validation with team-level DRIs, Finance, and InfraGov.
Influence senior leadership (up to VP/e-staff) with clear recommendations on technical tradeoffs, investment, and sequencing, and drive consensus across orgs.

What you need

8+ years of TPM experience leading complex, cross-functional technical programs, including strategic, multi-org programs or portfolios within large-scale data platforms, streaming systems, or data infrastructure modernization.
Advanced understanding of large-scale data platforms — batch/streaming pipelines, table formats, storage layers, workflow orchestrators — and the ability to anticipate technical risk and influence architectural and roadmap decisions.
A track record of defining program metrics and targets, building forecasting and savings models, and using data to drive investment decisions.
A track record of influencing senior engineering and business leadership in high-visibility settings, driving consensus, and delivering difficult messages when needed.
Comfort leading through ambiguity across all levels of leadership, making high-quality decisions with incomplete information.
A track record of mentoring TPMs or engineers and building mechanisms that others adopt.
Experience with streaming systems (Kafka, Flink), open table formats (Iceberg), or large-scale storage migrations is strongly preferred.
Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.

Join us and help shape the foundation of Pinterest's data platform!

Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1–2 times every 6 months and therefore can be situated anywhere in the country.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$123,684—$254,644 USD

Our Commitment to Inclusion

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Staff Technical Program Manager, Data Engineering

What you will do

Staff Technical Program Manager, Data Engineering

What you will do

What you need

Relocation Statement

In-Office Requirement Statement

Our Commitment to Inclusion

About Pinterest

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