Zigsaw

Product Manager

• Work alongside other Pinterest Product Managers and key partners on our Design, Research, and Engineering teams on a high-impact project
• Partner with cross-functional teams to help turn ideas into real product innovation. You’ll get direct experience assisting with defining product goals & requirements, driving insights & wins through experiments, and owning projects end-to-end
• Collaborate with an assigned mentor who will help you navigate the expectations of a Product Manager at Pinterest
• Leverage AI tools to optimize your workflow and to make cross-functional collaboration more productive and efficient
• Continually grow through various learning and development opportunities

Apprentice Product Manager

Product Designer

• Work alongside other Pinterest Product Designers and key partners on our Research, Product Management, and Engineering teams on a high-impact project
• Learn about the design process, starting from ideation and exploration, all the way to executing and implementing with Engineering
• Collaborate with an assigned mentor who will help you navigate the expectations associated with being a Product Designer at Pinterest
• Leverage AI tools to optimize your workflow and to make cross-functional collaboration more productive and efficient
• Continually grow through various learning and development opportunities

Apprentice Product Designer

Chief Marketing Officer

• Own the global B2B marketing strategy for mid-market advertisers
• Lead development and execution of account-based marketing strategies
• Partner closely with cross-functional teams to align on priorities
• Build and grow a high-performing Mid-Market Marketing team
• Set long-term vision and operating model for Mid-Market
• Manage resources and capabilities of the team
• Personally lead critical workstreams

Director, Integrated Marketing

Sales Operations Manager

• Work directly with key sales leaders on critical strategic, organizational and operational projects designed to increase revenue, sales productivity and operational efficiency.
• Structure and execute on projects by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations.
• Analyze and determine key insights from key business drivers, trends and operating metrics.
• Take advantage of large amounts of structured data to understand how our customers interact with our product and service offerings.
• Work with and influence cross-functional teams including Finance, Marketing, Measurement, and Product.
• Proactively identify and redefine processes and systems that improve and scale our business.
• Support company-level strategy-setting and planning efforts.
• Apply AI for data analysis and insight generation.

Senior Sales Strategy & Operations Manager

• Establish the strategic direction and product vision for our most complex problems, including the future of integrating AI based assistive tools into our consumer product, while bridging the gap between vision and execution
• Be at the forefront of major design initiatives and broadcast the efforts of the design team across Pinterest
• Set and refine the design quality bar, in partnership with design leadership, through our principles and design system
• Be responsible for mentoring and helping grow talent within the team

Principal Product Designer, AI Native, Core

Conversion Rate Optimizer

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers.
• Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems.
• Partner closely with product managers, data scientists, and tech leads to shape problem definitions.
• Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams.
• Establish engineering best practices across both ML and backend development.
• Use AI to accelerate analysis and iteration on model ideas and architectures.

Manager II, Machine Learning – Conversion Visibility

Full-stack Engineer

• Build Edge systems that combine in-house implementation, open-source software like Envoy proxy, and multiple CDN & DNS providers. Balance what to build, what to leverage from the community, and what to orchestrate across vendors.
• Drive automation traffic management efforts in the Edge space, designing solutions to manage bots and crawlers at scale.
• Design and implement request processing logic in Envoy to support Edge capabilities such as routing, traffic classification, and enforcement. Write, review, and maintain code written in C++, Golang, and Python.
• Collaborate with CDN vendors and internal platform teams to define integration points.
• Study internal user pain points with the rate limiting platform and translate findings into a prioritized roadmap.
• Mentor engineers within the team and demonstrate technical leadership through design reviews, pairing, and coaching.
• Use AI to accelerate prototyping, analysis, and operational tasks, while applying engineering judgment to verify correctness and production-readiness.
• Participate in oncall for Edge systems and drive incident response, post-mortems, and reliability improvements.

Staff Software Engineer, Edge

Engineering Manager

• Lead and make key architectural decisions across the tvScientific ad server tech stack and its major integration points.
• Take technical ownership of the ad server independence roadmap, including developing a clear understanding of the current state of initiatives, ownership across subcomponents, and resourcing needs.
• Oversee and organize the subteams supporting the initiative, including bidder, index building, and VAST serving.
• Serve as the technical DRI for bidder integration work with Pinterest, partnering closely on milestone sequencing, delivery planning, and execution.
• Identify and drive opportunities for shared components and common infrastructure with Pinterest where it makes strategic and technical sense.
• Participate in key strategic technical roadmap and architecture decisions for the Ad Server team.
• Help scale the team over time, including supporting the growth of a multidisciplinary engineering organization.

Senior Engineering Manager, Programmatic Ad Tech

• Architect a long-term vision for the partner marketing function at Pinterest
• Lead key partner marketing workstreams, including events and content marketing campaigns
• Create a culture that emphasizes constructive feedback and ongoing development
• Build tracking mechanisms for accountability and remove obstacles for high-quality results
• Project and plan for resourcing needs and recruit to meet strategic goals
• Collaborate and influence senior-level cross-functional partners on complex business challenges
• Leverage AI tools to accelerate the development of partner marketing assets
• Utilize AI-assisted analytics to surface insights on partner marketing performance

Director, Partner Marketing

Field Engineer

• Architect and deploy advanced service mesh features
• Lead organization-wide adoption of service identity and mTLS
• Design traffic optimization primitives
• Maintain and modernize service framework libraries
• Collaborate with service owners across the company
• Partner with infrastructure peers on multi-region strategies
• Use AI to accelerate analysis and iteration
• Join team oncall rotation to manage incident response

Staff Software Engineer – Service Communications

• Orchestrate the long-term technical vision for configuration ecosystems
• Spearhead the transition from legacy substrates
• Architect the next generation of control plane interfaces
• Direct the integration of coordination stacks
• Leverage AI to catalyze infrastructure design and analytical phases

Senior Staff Software Engineer, Configuration – Coordination

Data Scientist

• Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
• Lead projects on:
• Pinner LTV
• Tradeoff between ads and organic engagement
• Ads Delivery opportunities across different funnel stages
• Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
• Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
• Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

Staff Data Scientist, Ads Delivery

Software Engineer

• Cultivate strong, collaborative partnerships with HRBPs, Talent Acquisition, and Engineering & Product leaders, serving as a trusted advisor on the full spectrum of compensation activities — including new hire offers, promotions, critical talent decisions, and retention strategies
• Harness market insights, industry trends, and internal talent data — amplified by AI-powered tools — to deliver sharp, data-driven recommendations that strengthen the effectiveness and competitive positioning of Pinterest's compensation practices
• Critically assess the effectiveness of existing global programs, practices, and processes, and champion actionable recommendations for improvement that align with external market trends and Pinterest's strategic objectives
• Drive key compensation initiatives from end to end, including annual compensation planning, promotion cycles, and equity award cycles
• Design, build, and maintain compensation tools, dashboards, and automated reporting solutions that elevate the speed, accuracy, and accessibility of compensation insights for business partners and leadership
• Develop and continuously refine compensation communication and training materials that drive deeper understanding, engagement, and adoption of Pinterest's compensation programs across the organization

Lead, Compensation - Engineering & Product

Machine Learning Engineer

• Set the technical direction for a unified, audience-first insights platform that powers Pinterest Trends, Audience Insights, and recommendations embedded across Ads Manager surfaces.
• Architect scalable data pipelines and systems that generate reusable, personalized insights from Pinterest's trend, audience, and content signals.
• Lead delivery of high-impact roadmap bets such as Trends Digest, Moments, Topics expansion, and Product Attributes from prototype to production.
• Build LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
• Partner with Product, Design, Data Science, and Ads org teams to bring proactive, contextual insights into advertiser workflows beyond standalone surfaces.
• Use AI to accelerate prototyping, design exploration, and code generation iterating across more options earlier while applying engineering judgment and verification to ensure correctness and quality.
• Use AI to synthesize research, summarize large datasets, and automate repeatable engineering tasks like documentation, test generation, and data QA checks.
• Mentor engineers across the team, raise the technical bar, and establish measurement practices that connect insight quality to advertiser adoption and revenue impact.

Staff Software Engineer, Trends Machine Learning Infrastructure

• Be the technical lead for the forecasting team.
• Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
• Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
• Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
• Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
• Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
• Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
• Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.