Pinterest1 день назад
Senior Staff Technical Program Manager
Зарплата не указана
РЫНОК
15 450 ₽медиана по профессии
Data Scientist · 36 вакансий с указанной зарплатой
7 333половина предложений: 12 500–20 277150 000
Работодатель не указал зарплату — сравните с рынком сами.
San Francisco
Обязанности
- 01Envision and trailblaze the company’s approach to leveraging offsite and onsite signals, anticipating future business, technical, and regulatory challenges. Drive the creation and evolution of the company-wide roadmap for signals, aligning business objectives with technical capabilities and directly impacting multiple company OKRs. Identify opportunities for long-term business innovation and differentiation, ensuring Pinterest remains at the forefront of search and recommendation technologies.
- 02Oversee and deliver company-level programs that span multiple organizations, managing ambiguity and risk at scale. Lead the technical execution and delivery of signals initiatives, ensuring on-time, high-quality results across interconnected projects. Develop and achieve program-specific metrics and targets, driving the resolution of complex technical and program management challenges through conceptual and innovative thinking.
- 03Influence at the VP/staff level, providing thought leadership in program and product management across Pinterest. Guide and motivate teams, fostering an environment of accountability, inclusion, and high performance. Serve as the primary liaison with AI Research teams and other partner organizations to accelerate the adoption of new models (LLMs, VLMs, recommender systems) and ensure seamless integration into core Pinterest experiences.
- 04Evangelize the vision and progress of signals programs to all levels of leadership, including the Executive Team, ensuring clear, concise, and impactful communication. Drive consensus and propose informed tradeoffs across the company, balancing technical, business, and regulatory considerations. Build and maintain strong relationships with internal and external stakeholders, including Product, Engineering, Legal, Privacy, and external data partners.
- 05Demonstrate 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.
- 06Use 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.
Требования
- 01BS in a technical discipline or equivalent experience (10+ years in technical or analytical roles, with significant program leadership at company scale).
- 02Demonstrated ability to lead transformational, company-level programs with direct impact on multiple OKRs.
- 03Deep technical breadth and judgment, with expertise in search, recommendation systems, ML/AI, and large-scale data integration.
- 04AI-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.
- 05Workflow 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).
- 06Safety-by-design AI fluency – experience operating within AI governance expectations (risk assessment, sensitive data handling, model/output validation