Zigsaw

Software Engineer

• Lead and grow a team of engineers building Pinterest Trends, Audience Insights, and the next generation of AI-powered advertiser insights products.
• Translate the team's vision into a cohesive roadmap and delivery plan, sequencing key 2026 bets such as Trends Digest, Moments, Topics expansion, Product Attributes, and the audience-first platform foundation.
• Drive measurable advertiser impact by establishing a North Star tied to adoption, insight quality, and incremental ad spend and by standing up the instrumentation needed to prove it.
• Partner closely with Product, Design, Data Science, and peer Ads org teams to embed insights and recommendations into Ads Manager, seller workflows, and other advertiser journeys.
• Set the technical bar for LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
• Hire, mentor, and retain senior and staff engineering talent, and build team operating rhythms (planning, reviews, on-call, quality bars) that scale with the charter.
• Use AI to accelerate planning, technical exploration, and decision-making across the team drafting strategy docs, comparing architectural approaches, and synthesizing research faster while applying judgment and verification to ensure correctness and quality.
• Use AI to automate repeatable management tasks like status reporting, document synthesis, and review workflows, freeing the team to focus on higher-leverage work.

Manager II, Trends Engineering

Program Manager

• Lead an impactful team of senior TPMs and ICs responsible for cross-org, company-level programs across Ads Quality & Measurement, including areas such as Ads Ranking, Match Quality, Whole Page Relevance, measurement systems and platform investments.
• Set a clear strategy and vision for the Ads Quality & Measurement TPM function, translating advertiser performance, Pinner relevance and marketplace quality goals into measurable roadmaps, operating mechanisms and execution plans.
• Drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams to deliver complex programs that improve advertiser value while maintaining high-quality, helpful experiences for Pinners.
• Own the metrics and accountability framework for the portfolio, connecting performance, relevance, experimentation and delivery signals into a clear source of truth for what shipped, what moved the metrics and why.
• Bring structure and momentum to ambiguous, high-stakes work by establishing decision frameworks, surfacing trade-offs, managing dependencies and increasing decision velocity across executive and cross-functional teams.
• Lead the operating cadence for the organization, including portfolio reviews, resource planning, launch readiness, dependency management, risk management and executive communications.
• Embed the use of AI across the org to accelerate synthesis, planning, reporting and repeatable program workflows, while applying judgment, verification and appropriate guardrails to ensure quality, privacy and correctness.
• Develop a high-performing AI-first TPM team through coaching, constructive feedback, succession planning and a culture of ongoing learning, growth and equitable development.

Director, Technical Program Management – Monetization

Technical Program Manager

• Lead strategic compliance engineering programs that span multiple teams and organizations, translating broad risk and control objectives into executable roadmaps, milestones, and measurable outcomes.
• Build and run operating mechanisms for program health, dependency management, decision-making, and executive visibility across audits, remediation efforts, and control maturity initiatives.
• Modernize the SOX audit program by transitioning compliance workflows from manual, high-toil evidence collection to AI-driven, automated control monitoring and audit readiness, driving greater efficiency and scalability across the organization.
• Partner with Engineering and Product as core strategic partners, and work closely with Finance, engineering control owners, and Contractors to align on priorities, sequencing, ownership, and delivery accountability.
• Drive durable improvements in how the org plans, tracks, and evidences control execution, reducing manual effort and improving consistency, readiness, and trust.
• Anticipate program and technical risks early, frame trade-offs clearly, and influence leaders through crisp recommendations that balance compliance requirements with engineering pragmatism.
• Create best practices, tools, and methodologies that raise execution quality for the broader organization, not just for a single program.
• 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, SOX Compliance

Engineer

• Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences.
• Drive a multi‑year roadmap for unifying signals, features, and models across surfaces to deliver a coherent, high-quality discovery experience.
• Lead the design and adoption of large-scale retrieval and ranking systems (e.g., multi-stage retrieval, representation learning, multi-objective optimization) that materially improve relevance and monetization.
• Architect how LLMs and foundation models integrate with our core discovery stack (e.g., query understanding, intent modeling, content understanding, conversation orchestration, safety/guardrails).
• Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases.
• Provide hands-on technical leadership on a small number of high-leverage projects: design critical components, review designs/PRs, de-risk complex launches, and mentor senior engineers and staff+ TLs.
• Partner deeply with Product, Data Science, Research, and Design to frame the right problems, translate product bets into robust technical plans, and ensure we are solving for long-term platform health, not just short-term metrics.
• Raise the bar for engineering excellence: reliability, performance, security/privacy, cost efficiency, and operational health of large-scale ML systems.
• Represent Pinterest externally for these domains (e.g., talks, publications, partnerships) and help attract and grow top talent.
• You will report into Pinterest’s Core Engineering leadership and work horizontally across multiple product and platform teams responsible for Homefeed, Search, and AI Assistant.
• You will spend a meaningful portion of your time on hands-on technical work (design, reviews, prototyping) while also driving long-term strategy, standards, and alignment across organizations.
• You will be measured on durable technical impact: system-level improvements, model and product outcomes, reduction in complexity and operational risk, and the growth of leaders and capabilities around you.

Distinguished Engineer

Operations

• Support the development and maintenance of policies and procedures for this growing program of work, ensuring the team prioritizes user and platform safety, while driving scalable outcomes for operational teams.
• Become a policy generalist who responds to escalations efficiently and effectively within Pinterest’s Community Guidelines.
• Autonomously leverage internal tooling and internal AI agents to investigate issues.
• Own resolution of high priority escalations through investigation, action, and cross-functional collaboration.
• Own decisions in nuanced cases and influence others to take action.
• Embrace ambiguity and change and drive a track record of success for the team.
• Share rotating weekend, off-hour, and holiday coverage responsibilities.
• Play a strong supporting role in advocating for the team’s needs, particularly as they relate to our company’s focus on employee health and well-being.
• Collaborate with internal stakeholders to implement policies and procedures, conduct risk assessments, and provide guidance to the team on best practices to mitigate and resolve escalations.
• Facilitate a high performance team culture.

Senior Safety Specialist, Escalation Operations

Product Designer

• Own and evolve core surfaces in Ads Manager, where advertisers of all sizes plan, buy, optimize, and measure their campaigns.
• Partner closely with Product, Research, Engineering, Data Science, and Marketing to align on, and ship improvements for both self‑serve and managed advertisers, across global markets.
• Deeply understand advertiser and agency workflows through research, data, and customer conversations; translate those insights into clear solutions
• Build solutions to drive product-led growth of revenue and high priority advertiser features
• Explore and ship AI features to help advertisers get customer support, reporting, recommendations and eventually take action on their behalf

Senior Product Designer, Advertiser Experience

Data Scientist

• Analyze advertiser behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention and churn.
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, email, in-product, organic social, webinars, elearning platform,in person events etc.
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.

Senior Data Scientist, Marketing

DevOps Engineer

• Ensuring the reliability, availability, and performance of production infrastructure and platform services
• Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads
• Managing GitOps-based deployment workflows using ArgoCD and Helm
• Supporting infrastructure provisioning and change management through Terraform/Terragrunt
• Building and supporting CI/CD automation and deployment workflows using GitHub Actions
• Participating in incident response, root cause analysis, and post-incident improvement initiatives
• Reducing operational toil through scripting, tooling, and process automation
• Advancing observability practices across logs, metrics, traces, dashboards, and alerting
• Supporting secure secrets integration, IAM-aware operations, and platform guardrails
• Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes

Site Reliability Engineer II

SDET

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/edge-case testing
• Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
• Analyze test failures, investigate root causes, and drive issues to resolution
• Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira

SDET II

Data Analyst

• Own the analytics roadmap for self-serve support, automation and tooling
• Design, build and maintain Tableau dashboards
• Tackle ambiguous, high-impact problems
• Partner with cross-functional teams to design and evaluate pilots and experiments
• Build models and decision frameworks to support prioritization and planning
• Act as a trusted analytics partner to stakeholders

Senior Data Analyst, Support Operations

Solutions Engineer

• Design and build AI agents that augment production reliability work
• Drive large-scale infrastructure modernization with AI-accelerated execution
• Transform consulting patterns into scalable platforms
• Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem
• Develop software solutions to enable reliability and operability of large-scale distributed systems
• Build tools and automation to eliminate toil and reduce operational overhead
• Build meaningful, insightful and actionable SLIs
• Automate critical portions of Pinterest's engineering processes
• Manage capacity and performance to help scale our infrastructure

Senior Production Engineer, Solutions Engineering

AI Engineer

• Set the technical vision and roadmap for the Pinterest AI Platform, aligning with business priorities and long-term company strategy.
• Drive cross-functional strategic initiatives that advance our platform capabilities across:
• Generative AI: multimodal data management, post-training, evaluation, and batch/online inference.
• Recommender Systems: feature stores, training infra, and large-scale high performance inference.
• AI-powered tools that automate the user experience across our platforms, connecting every stage of the AI/ML lifecycle to enhance productivity and accelerate development.
• Cultivate a collaborative and inclusive culture where every team member feels welcome and empowered, and provide candid, constructive feedback that accelerates individual and team growth.

Principal Engineer, AI Platform

Machine Learning Engineer

• Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.
• Design, build and launch production models and signals that improve ads quality, relevance and long term value.
• Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
• Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.
• Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior.
• Partner closely with product, applied science, and infra teams to translate business objectives into modeling roadmaps and success metrics.
• Ensure models meet the bar for reliability, safety, fairness, and compliance with privacy and policy constraints.
• Drive technical design reviews, set modeling best practices, and make high-impact architectural decisions across the ads ML stack.
• Mentor and uplevel other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows.
• Lead frontier work applying AI- and agentic-driven development loops to one of Pinterest’s highest-leverage systems: ads ranking and auctions.
• Shape product outcomes at massive scale, with direct impact on advertiser value, Pinner experience, and company revenue.
• Partner with senior leaders across product, research, and infra, gaining broad visibility and influence on ads strategy.
• Grow as a technical leader by setting modeling standards, mentoring senior talent, and driving multi-quarter roadmaps across teams.
• Access Pinterest’s rich multimodal data and modern ML/infra stack to experiment quickly and ship ambitious ideas.

Senior Staff Machine Learning Engineer, Agentic Ads

• Design product experiences with a high bar for craft and consistency
• Partner with Design Innovation team to evolve product design language
• Conduct quality audits and directly contribute hands-on design
• Rapidly visualize, prototype, and validate new ideas
• Collaborate with engineering and product management
• Incorporate insights from research and AI trends
• Contribute to design reviews and critique
• Mentor and guide other designers
• Clearly articulate design thinking and rationale

Staff Product Designer – Design Innovation

Accountant

• Lead full-cycle accounting for key international subsidiaries, including multi-currency journal entries, intercompany settlements and FX impact analysis.
• Identify "automation-first" opportunities within the international accounting operations process and collaborate with Finance Transformation teams to deploy AI agents and automated workflows to reduce manual procedures.
• Partner with local service providers and internal tax/legal teams to oversee statutory filings, local compliance and local GAAP to US GAAP reconciliations.
• Act as a strategic consultant to FP&A and Treasury, providing insights into international OpEx trends.
• Ensure compliance with accounting policies, SOX controls and relevant regulatory requirements for assigned areas.
• Support external audits by providing accurate and timely information.
• Perform special projects, as needed, to support our rapid growth.