Senior Staff Technical Program Manager, Search Signals

• BS in a technical discipline or equivalent experience (10+ years in technical or analytical roles, with significant program leadership at company scale).
• Demonstrated ability to lead transformational, company-level programs with direct impact on multiple OKRs.
• Deep technical breadth and judgment, with expertise in search, recommendation systems, ML/AI, and large-scale data integration.
• AI-forward execution mindset – demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications at company scale—starting from AI drafts and applying strong judgment to validate, refine, and drive decisions.
• Workflow design, AI fluency, and data orientation – experience turning repeatable program work into durable, low-toil mechanisms and improving decision quality using GenAI, data analysis, and automation (including “vibe-coding” small helpers or scripts with AI coding assistants).
• Safety-by-design AI fluency – experience operating within AI governance expectations (risk assessment, sensitive data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
• Proven track record of influencing at the VP/staff level and driving consensus across complex, cross-functional environments.
• Exceptional communication, relationship-building, and organizational awareness.
• Experience with legal, privacy, and regulatory compliance in data-driven environments.
• Experience working with external data partners and negotiating data acquisition agreements is highly desirable.
• Experience with internationalization and supporting global product relevance is a plus
• Experience working with Search products at a low level of detail highly desirable
• Experience with data acquisition, integration, and management, especially for offsite signals, is a plus

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-DM57

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

$163,639—$336,903 USD

• Demonstrate expert technical understanding and judgment, guiding teams in solving complex technical challenges that span organizations.
• Author and advance best practices, tools, and methodologies for signals management, data acquisition, and model evaluation.
• Shape the future of the signals domain at Pinterest through continuous research, learning, and mentorship of program managers and technical leads.
• Use GenAI as the default operating model for TPM execution—starting from AI-assisted first drafts of core artifacts (charters, roadmaps, status reports, decision memos, RAID logs) and modernizing high-toil workflows (status synthesis, risk/dependency tracking, intake triage) into AI-first mechanisms where appropriate.
• Prototype lightweight AI-powered helpers and tools (“vibe coding”) to improve signal quality monitoring, experiment readouts, and decision-making across Search and Signals.
• Follow Pinterest AI guidance for risk, governance, and safety-by-design—appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions/limits, and ensuring AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.