Zigsaw

Full-stack Engineer

• Design, implement, and optimize Pinterest’s batch processing infrastructure.
• Collaborate with cross-functional teams to understand data needs.
• Lead technical projects and initiatives, driving them to completion.
• Mentor and guide junior engineers on best practices and architecture.
• Ensure the reliability, scalability, and efficiency of data systems.

Staff Software Engineer, Batch Processing Platform

Product Designer

• Own high-impact, revenue-critical projects for Measurement, Conversions, and AI products that demonstrate the full value of Pinterest ads, from framing the problem through execution and iteration.
• Design end-to-end workflows for how advertisers track conversions, run measurement studies, interpret performance, and take action to optimize across measurement products.
• Simplify complex data and technical concepts (e.g., incrementality, attribution, API) through intuitive interaction patterns, visualizations, narratives, and in-product education in partnership with content design and research.
• Shape the Measurement & Conversions UX vision so advertisers and internal teams have a clear, centralized destination for understanding performance and making decisions.
• Collaborate closely with engineering, product management, and research to develop impactful, user-centric, and data-informed solutions.
• Collaborate with and manage feedback from stakeholders across the company.
• Work alongside engineers throughout the implementation and quality assurance phases.
• Uphold and inspire a high level of design execution across the team.

Senior Product Designer, Measurement & Conversion

Account Manager

• Lead and manage a portfolio of key client accounts, spanning various industries including retail, leisure, and tech-adjacent sectors.
• Launch, serve, and optimize campaigns for clients, ensuring maximum ROI and campaign success.
• Proactively pick up the phone and engage in meaningful conversations with customers and agencies about digital media, including CTV advertising.
• Develop and execute strategic account plans to drive revenue growth, retention, and expansion opportunities within existing client accounts.
• Identify and capitalize on upsell and cross-sell opportunities, leveraging your digital media and advertising experience to maximize revenue potential.
• Collaborate closely with internal teams, including sales, product, and support, to ensure seamless execution of client campaigns and initiatives.
• Monitor and analyze campaign performance metrics, providing insights and recommendations to optimize client campaigns and drive superior results.
• Act as a trusted advisor to clients, providing expert guidance, industry insights, and best practices to help them achieve their advertising objectives.
• Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
• Provide mentorship and support to junior account management team members.
• Use AI to speed up optimizations: Leverage AI tools to quickly spot performance drivers and issues (e.g., ROAS trends, creative fatigue, pacing) and turn them into clear optimization actions for clients.

Senior Account Manager, Affiliate/CPA

Backend Engineer

• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
• Improve system observability, reliability, and performance as contract volume and complexity scale
• Own backend services and data models related to contracts and billing
• Lead technical design discussions and make pragmatic architectural decisions
• Write clean, well-tested, and maintainable code with a strong focus on correctness
• Drive improvements in data consistency, validation, and error handling across contract workflows
• Review code and mentor other engineers, setting a high bar for backend quality
• Collaborate cross-functionally to support new deal structures and evolving business models

Software Engineer II, Backend

Manager

• Manage, mentor, and grow a team of instructional designers and program managers, fostering a collaborative, innovative, and supportive environment.
• Lead the end-to-end design and maintenance of engaging learning and certification programs, including curriculum maps, assessments, and learner-centered content tailored for advertisers and agencies.
• Oversee the launch and evolution of certification programs, including exam development, administration, SME engagement, vendor management, and global rollout.
• Build and nurture relationships with cross-functional partners in product, sales, engineering, and marketing to ensure training solutions align with business needs and product developments.
• Drive continuous improvement using data analysis, learner feedback, and industry best practices.
• Stay ahead of trends in instructional design, ad tech, and emerging content creation tools and methods (e.g., AI, gamification,, xAPI), integrating new developments into our strategies.
• Ensure the effective management of multiple projects with varying complexity, using strong project management skills to deliver high-quality results on time.
• Communicate program requirements, progress, and impact to key stakeholders through exceptional written and verbal communications.
• Promote learning and certification programs internally and externally to maximize reach and impact.
• Leverage AI tools to personalize learning pathways, automate content creation, analyze learner data, and enhance the effectiveness and scalability of training and certification programs.

Manager, Learning & Certification

Product Manager

• Define and execute the product strategy for a significant portion of our Activation suite, establishing the vision both internally and externally.
• Collaborate with various engineering teams, specifically those focused on campaign management and creative development, to architect and deliver a market-leading suite of capabilities.
• Develop services designed for operational efficiency and scale by considering the entire advertiser and campaign lifecycle.
• Partner with Legal, Security, and Data teams to ensure adherence to CCPA, GDPR, and global privacy regulations.
• Document detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on high-impact features that align with the tvScientific strategy.
• Establish and monitor key performance indicators such as feature adoption and revenue influenced to inform feature development, refinement, and new initiatives.

Staff Product Manager, Activation

Data Scientist

• Design and execute system-level measurement frameworks for foundational model improvements spanning offline evaluation benchmarks, online A/B experiments, and longitudinal impact tracking across surfaces.
• Define, and own the success metrics that quantify foundational model value.
• Build causal inference methodologies to isolate the incremental impact of individual model components within a complex, multi-model production system where changes co-occur and interact.
• Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor is embedded in every model launch.
• Relentlessly focus on impact, whether through sharpening investment decisions with data, raising the bar for launch criteria, accelerating experimentation velocity, or surfacing hidden inefficiencies in the model ecosystem.

Senior Data Scientist, AI/ML Systems

Procurement

• Act as a front-line point of contact for employees initiating purchases or contracts, offering clear, end-to-end guidance on the contract-to-procure process and delivering a high-quality, customer-focused experience.
• Translate complex procurement, legal, and financial requirements into simple, user-friendly guidance.
• Review Zip intake submissions and related documentation for completeness and accuracy, ensuring:
• Correct approvers and review teams are engaged based on value and risk.
• Agreement types and contract details (including dates) are accurate and aligned.
• Appropriate budget approvals are in place before releasing contracts for signature.
• Provide centralized oversight across the contract-to-procure process to reduce operational, financial, and compliance risk.
• Act as a power user of Zip and related tools, flagging system issues and partnering with FinTech/technical teams on fixes and improvements.
• Leverage AI and automation (where available) to draft communications, summarize requests, spot patterns, and streamline manual steps, with a focus on making the process faster and more accurate.
• Identify process bottlenecks and user pain points, and recommend improvements that reduce cycle time, improve data quality, and enhance the overall user experience.
• Support Procurement and Finance with data gathering and ad-hoc reporting on spend, cycle time, and policy adherence.

Procurement Operations Specialist I

Program Manager

• Establish and maintain global performance performance scorecards to monitor vendor performance, quality, and timeliness
• Use AI to create scalable tracking and alerting mechanisms to ensure vendor compliance against contractual terms
• Serve as the global escalation point for vendor performance issues; triage, prioritize, and manage resolution across regions, consolidating insights for executive teams
• Lead breach management: RCA facilitation, corrective action plan development, execution tracking, and verification of sustained recovery
• Maintain an auditable record of vendor adherence, breaches, actions taken, and outcomes to support contract management decisions
• Run global vendor operating cadence (monthly / quarterly), ensuring clear performance narratives and documented follow-ups
• Own accuracy of vendor tracking systems (i.e. onboarding / offboarding processes, supervisory orgs in Workday, etc.) and drive standardization across vendor processes
• Drive continuous improvement initiatives to enhance vendor efficiency and cost-effectiveness

Lead Program Manager, Global SMB Vendor Operations

Business Operations

• You possess a mix of technical strength, business strength, and the ability to navigate stakeholders across different business areas and have experience building cross-functional relationships across engineering and business peers to ensure objectives are well defined and clearly understood.
• You are able to navigate working at the strategic level (e.g. generating innovative ideas for growth, establishing KPI’s, leading through change management) and at the tactical level (e.g. analyzing data, solving problems, being a force multiplier).
• Define product strategy, roadmap, and execution for planning, forecasting, modeling, and analytics enablement capabilities.
• You will engage the business to identify their needs and spot opportunities to build features that increase engagement and drive efficiencies.
• Partner with Finance, Business Operations, Data Science, Analytics, IT, and Engineering to identify opportunities to improve workflows, decision quality, and operational efficiency.
• Build and improve systems and experiences that support planning cycles, forecasting processes, business modeling, and analytical decision-making.
• Help teams access better data, workflows, and analytical capabilities to support faster and more confident decisions.
• Identify and deliver practical AI use cases that improve workflow speed, decision support, exception handling, insight generation, and team productivity.
• Apply strong judgment to where AI should be used, ensuring appropriate validation, controls, and human accountability.
• Identify and deliver practical AI use cases that improve scenario analysis, insight generation, summarization, exception detection, workflow productivity, and user experience.
• Apply strong judgment to where AI should be used, ensuring outputs are validated and fit for business decisions.

Staff Product Owner, Finance & Business Operations

• Lead the Monetization DS execution roadmap: drive the integrated plan across the four strategic pillars (SSOT + funnel, segmentation, input-metrics cadence, democratized analytics) with clear milestones and success measures.
• Productionalize our DS strategy: coordinate Platforms/Data Eng + Monetization Eng + DS to productionalize core tables, governance, reliability, and scale beyond DS-owned pipelines.
• Enable new instrumentation: partner with Engineering to close observability gaps (especially delivery funnel instrumentation) so full-funnel survivability can be analyzed reliably.
• Drive workflow automation: reduce manual human intervention in recurring data workflows and program operations; build durable mechanisms for monitoring, alerting, and dependency tracking.
• Scale self-serve and democratization: deliver partner-facing tooling (dashboards / analytics surfaces) that makes staples the common language and supports fast diagnostics and opportunity mining.
• Operationalize input metrics: establish/upgrade business review cadences so teams set goals and are accountable for moving controllable input metrics (not just reporting revenue outcomes).
• Drive targeted deep dives: structure and execute cross-functional deep-dive programs (e.g., influencer population, auction density/demand) with clear hypotheses, decision asks, and downstream action plans.
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

Staff Technical Program Manager, Monetization Data Science

Technical Program Manager

• Own end-to-end program delivery for Ads Measurement initiatives: Drive planning → execution → launch for complex, cross-org measurement programs (e.g., incrementality improvements, measurement integrations), with clear goals, milestones, and success metrics aligned to Monetization outcomes and broader company OKRs.
• Drive clarity through ambiguity in a complex technical domain: Convert vague problem statements into crisp program charters, decision points, and executable roadmaps; proactively identify gaps (requirements, ownership, resourcing, data readiness) and close them.
• Influence technical direction and tradeoffs with strong technical judgment: Facilitate architecture/design alignment, surface core technical uncertainties early, and drive principled tradeoff decisions (accuracy vs. latency, experimentation rigor vs. speed, privacy constraints vs. measurement granularity).
• Execute at both breadth and depth. At breadth by understanding the big picture, and at depth by being comfortable driving nitty gritty details with multiple teams.
• Be a thought leader to your XFN stakeholders by influencing product roadmap during the annual & quarterly planning. Work cross functionally with engineering, product, design, data analytics, Sales, Business Development, Research, and product marketing to turn ambiguous opportunities into actionable outcomes.
• Operate at Staff (IC16) scope and leadership altitude: Own the success of a strategic, complex program spanning multiple orgs; manage ambiguity across leadership levels; communicate program state, risks, and proposals (including tradeoffs) clearly to senior audiences (VP/Estaff/PLT as needed).
• Build durable program mechanisms and best practices: Create repeatable operating rhythms (intake, prioritization, RAID, decision logs, launch criteria, post-launch learning loops), and scale execution through others (including other T/PgMs and functional leaders).
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

Staff Technical Program Manager, Ads Measurement

• Own end-to-end program delivery for complex Ads Performance initiatives, driving planning, execution, and launch across multiple teams with clear goals, milestones, and success metrics aligned to monetization outcomes and company OKRs.
• Turn ambiguous problem spaces into clear program charters, roadmaps, and decision points, while proactively identifying and resolving gaps in ownership, requirements, resourcing, and data readiness.
• Partner closely with Engineering, Product, Data Science, Design, Analytics, Sales, Business Development, Research, and Product Marketing to align stakeholders and turn opportunities into actionable outcomes.
• Drive development of new performance capabilities across ads delivery and modeling, including initiatives related to bidding, ranking, optimization, and other strategies that improve ROI and user experience.
• Help scale existing systems to support new surfaces, formats, markets, and use cases while maintaining reliability, latency, and cost efficiency.
• Influence technical direction and tradeoff decisions by facilitating alignment on architecture, surfacing risks and uncertainties early, and helping teams navigate decisions across accuracy, latency, experimentation rigor, privacy, and measurement needs.
• Build durable program mechanisms and best practices, including intake, prioritization, RAID tracking, decision logs, launch criteria, and post-launch learning loops.
• Communicate program state, risks, and recommendations clearly to cross-functional stakeholders and leadership, and proactively escalate when broader alignment or decisions are needed.
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants ("vibe coding").
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

Senior Technical Program Manager, Ads Performance

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Senior Software Engineer

General Counsel

• Build and maintain strong relationships with Pinterest’s regulators globally, with a focus on content regulation, online safety, intermediary liability, and competition.
• Lead responses to regulatory inquiries, requests for information, and other regulatory-facing matters, including coordinating with internal subject matter experts and outside counsel as needed.
• Draft clear, persuasive materials for regulatory engagements including consultation responses, regulatory submissions, position papers, and related communications.
• Defend the company in regulatory enforcement matters.
• Provide strategic legal guidance to cross-functional partners and members of the Legal team on emerging regulatory requirements.
• Partner closely with Legal, Public Policy, Communications, and other cross-functional teams to ensure consistent, well-supported regulatory positions and external messaging, including through the drafting of consultation responses to new laws.
• Monitor ongoing developments in legislation and regulatory guidance applicable to Pinterest.
• Support development of scalable approaches for managing regulatory risk across multiple jurisdictions while balancing local regulatory requirements and enforcement risks.
• Leverage AI-enabled tools thoughtfully and responsibly to improve the efficiency, consistency, and scalability of regulatory workflows, including information gathering, issue spotting, and response coordination.
• Identify opportunities to streamline repetitive regulatory processes through AI and other tools, while maintaining appropriate legal oversight and quality control.
• Exercise strong judgment in reviewing and validating AI-assisted work product, ensuring that materials are accurate, nuanced, and aligned with Pinterest’s strategic positions.