Zigsaw

Technical Product Manager

• Partner with the VP of Infrastructure to set the multi-year InfraGov strategy and roadmap, aligning governance priorities to company goals and engineering/product plans.
• Partner with EPD TPM leadership to own annual and quarterly infrastructure budget planning and in-year re-forecasting; establish guardrails, decision rights, and escalation paths.
• Lead through a team of TPMs to deliver cross-org programs across spend control, efficiency, capacity management, and vendor management.
• Build executive partnership with Finance, Engineering, and Product to drive high-quality, data-informed trade-offs (innovation headroom vs. cost, risk, and capacity).
• Create governance mechanisms that scale: dashboards, source-of-truth reporting, business reviews, and accountability rhythms that drive consistent execution.
• Sponsor cloud vendor strategy and performance management in partnership with Procurement/Finance/Engineering, including renewal readiness and KPI oversight.
• Set the InfraGov TPM team strategy; hire, coach, and retain diverse leaders; set clear expectations and program craft standards; deliver calibrated feedback; create growth plans, rotations, and succession coverage across spend, efficiency, capacity, and vendor domains.

Director TPM, InfraGov

Machine Learning Engineer

• Define and communicate a clear multi-year ML vision
• Identify and prioritize impactful Growth opportunities
• Establish success metrics for Growth ML systems
• Manage and develop managers and senior ML engineers
• Champion cross-functional initiatives that grow user visitation
• Define a unified ML architecture for Growth
• Act as primary ML point of contact for Growth with executives

Director, Machine Learning Engineering – Growth

General Counsel

• Autonomously negotiate a high volume of complex real estate, workplace services, benefits vendor agreements, SaaS and other commercial transactions in a fast-paced environment.
• Use your knowledge of data security, data privacy, AI and general commercial concerns to counsel the business on risks related to their transactions and offer best practices for addressing such risks in supplier agreements.
• Offer practical legal advice with a “business first” risk based approach that ensures our clients have a seamless, efficient and positive experience with the Commercial Legal Team.
• Manage outside counsel and contract attorneys.
• Partner closely with internal business partners, attorneys and contracts managers to develop processes and systems to scale globally.

Counsel, Commercial Legal

Engineering Manager

• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
• Set technical direction for the team based on company and org priorities
• Coach and develop talent on the team.

Senior Engineering Manager, AI/ML Serving Platform

Manager

• Collaborate with your Policy teammates, cross-functional partners, executives and outside experts to craft industry-leading generative AI policies to protect Pinners and keep Pinterest safe and inspiring.
• Partner with Trust & Safety, Product, and Engineering teams to embed AI safety best practices in product launches and scale AI policy enforcement globally.
• Anticipate opportunities and advise on risks of new generative AI policies to help keep Pinterest ahead of the next challenge.
• Drive regulatory and compliance efforts for content policy matters.
• Partner with the leadership team to set strategy for product policies, including how to prioritize among competing demands for our time and expertise, and mentor others.
• Continuously evaluate and iterate on our policy approaches.
• Evaluate high-profile escalations.
• Facilitate and productively engage in complex policy discussions, including respectfully challenging team members and xfn partners, using contrarian techniques to strengthen policy analysis, and incorporating new and diverse viewpoints.

Lead Product Policy Manager

Operations

• Partner with GC&O leadership to define and drive the team’s strategic plan, including annual and mid-year planning, OKRs and investment recommendations across our global content and creator bets
• Lead large, highly cross-functional initiatives that improve how we plan, launch and scale content and creator programs, from early problem framing through execution and post-mortem
• Design and evolve the GC&O operating model, including governance, decision-making forums, performance indicators and business review rhythms that increase clarity, accountability and speed
• Develop clear narratives that synthesize complex data, market dynamics and internal signals into concise stories for senior leadership reviews, investment decisions and strategy alignment
• Build and maintain reporting, dashboards and business reviews that surface insights on creator health, engagement, monetization and operational efficiency, then translate them into concrete action plans
• Connect global strategy with regional execution by identifying gaps, codifying best practices and ensuring that programs scale effectively across markets
• Proactively identify and size opportunities to improve and scale the business (e.g. processes, systems, tooling, vendor strategy), then lead pilots and rollouts with cross-functional partners
• Operate as a strategic thought partner to GC&O and cross-functional leaders, helping them decide what to start, accelerate or rethink to unlock growth for Pinners, creators and partners

Strategy & Operations Lead

• Work directly with key Global Content & Operations leaders on critical initiatives designed to grow the creator ecosystem, team productivity and operational efficiency.
• Work with and influence cross-functional teams including Analytics, Product, Finance, Sales and Business Operations.
• Lead strategic problem solving for priority questions by structuring ambiguous problems, developing clear hypotheses, scoping required analyses, and turning them into actionable recommendations.
• Develop executive-ready narratives that synthesize complex data, market dynamics, and internal signals into clear, compelling stories.
• Operate as a strategic thought partner to leadership, helping shape what Pinterest should build, accelerate, or rethink.
• Own data analysis required for strategy development.
• Leverage insights from key business drivers, trends and operating metrics, and communicate recommendations to GC&O leadership and the broader organization.
• Proactively identify and redefine opportunities that improve and scale our business.

Senior Strategy & Operations Lead

• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

Staff Machine Learning Engineer, Content Quality Signals

Full-stack Engineer

• Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
• Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
• Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
• Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
• Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
• Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
• Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront

Staff Software Engineer, Observability

• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
• Help the team solve difficult technical challenges such as:
• How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
• How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
• How to identify and remove biases from existing recommendation systems?
• How to experiment with and measure the impact of content acquisition changes on the user experience?
• How to enhance the titles of new content to increase their engagement?

Manager II – Machine Learning, Content Success

Financial Planning and Analysis

• Support revenue and performance management of key sales verticals.
• Build sophisticated models that will deliver cutting-edge insights and improve revenue forecasting.
• Own delivery of financial reporting to Pinterest executives (e.g. Director of Sales Finance, CFO as well as Sales leaders including the CRO and their direct reports).
• Create dashboards and models to scale monitoring of key performance indicators and tools to drive strategic insight.
• Support other strategic programs within Pinterest like agencies, resellers, and partnerships with advertisers.
• Leverage your superior financial modeling skills in order to deliver ad hoc analyses.

Financial Analyst II

• Lead the Core, Ads, Quality and Client Foundations program portfolio as a hands-on Sr. Manager, Technical Program Management, partnering with the Platform engineering leadership.
• Set an integrated multi-quarter program strategy, roadmap and execution cadence across the portfolio, including milestones, dependencies, risks and decision forums.
• Drive technical program management for Core + Ads foundations modernization and consolidation, including catalog and ingestion unification, search and discovery infrastructure modernization (indexing, retrieval/embeddings, crawling/scraping and content extraction, media signals and video/media pipelines).
• Drive Client Foundations modernization across iOS, Android and Web, developer tooling foundations to improve code coverage, strengthen engineering hygiene and enable safer, faster releases.
• Manage and grow a small team (2–3 TPMs to start), coaching for ownership, decision quality and delivery.

Senior TPM Manager – Core, Ads, Quality, Client Foundations

• Contribute to cutting-edge research in LLMs and generative AI that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data, translate research insights into practical, scalable solutions
• Curate and generate training data with strong quality controls
• Build reliable evaluation strategies for LLM systems (offline metrics, human evaluation, redteaming, robustness & safety)
• Write clean, efficient, and sustainable code, collaborate closely with engineering partners to land research into real systems.
• Develop LLM powered methods to solve modeling and ranking problems across growth, discovery, ads and search
• Explore and productionalize techniques such as instruction tuning, preference optimization, RAG / tool-calling, and prompt / model optimization.
• Scope and independently solve moderately complex problems

Machine Learning Engineer II, LLM Applied Science

• Support millions of users and enable colleagues by ensuring excellence in core pieces that are shared throughout the application
• Identify app-wide challenges, propose, test, and ship solutions
• Drive changes that improve the entire app such as modularization, implementing image/video loading, RTL text, dependency injection, and reusable UI components
• Enable developers to work more effectively by improving app architecture, testing capabilities and release cycles
• Solve hard-to-see user pain points that often affect the entire app such as performance, monitoring crash rates and solving user metric anomalies
• Grow as a developer by working with world-class peers on varied and high impact projects

Senior Software Engineer, iOS

• Own end-to-end management of the People organization budget, including partnership with People leadership and Finance on monthly forecasting, variance analysis, and scenario planning for a $70M+ portfolio of investments.
• Own quarterly year‑to‑go (YTG) forecast and reporting for the People budget, ensuring clear visibility into risks, opportunities, and tradeoffs for senior stakeholders.
• Design and evolve our People “Book of Work” frameworks and processes, ensuring all projects and programs are prioritized, resourced, and sequenced to deliver intended outcomes.
• Establish and maintain standards for governance, tools, and resource utilization across the People portfolio (e.g., intake, prioritization criteria, status reporting, and decision forums).
• Own the People Portfolio of Projects in Asana, including end‑to‑end setup, taxonomy, templates, workflows, and ongoing governance.
• Build, maintain, and continuously improve the People roadmap and related reporting in Asana, ensuring clear visibility into commitments, dependencies, and progress for leaders and stakeholders.
• Project manage the process for People QBR preparation and roadmap reviews: define timelines, owners, inputs, templates, and follow‑through on decisions and actions.
• Set the operating cadence, formats, and follow‑up mechanisms for portfolio and roadmap reviews (e.g., monthly portfolio reviews, quarterly deep dives), using recognized portfolio, program, and project management methods to ensure sound governance and effective resource utilization.
• Design and lead the People team’s annual planning process in partnership with S&O partners, People leadership and Finance, including timelines, tools, and forums for decision‑making.
• Own the capacity planning framework for the People organization as part of annual and ongoing planning—model workloads, resourcing scenarios, and tradeoffs across teams to ensure alignment with strategic priorities.
• Integrate headcount and non‑headcount investment forecasts into the function’s strategic plan, ensuring budget and capacity are aligned with goals and objectives.
• Build, govern, and continuously improve standard reporting dashboards for the People team in Asana (and related tools as needed), enabling leaders to track execution, capacity, and outcomes at a glance.
• Lead the design and execution of complex, cross‑functional analyses across the People portfolio (e.g., spend vs. plan, program ROI, capacity vs. demand), and translate findings into actionable recommendations for senior stakeholders.