Are you passionate about transforming accounting operations through product, automation, and AI? Join the IT Enterprise Systems team at Pinterest to help build the next generation of accounting capabilities, improving efficiency, controls, decision-making, and user experience across our accounting ecosystem.

What you’ll do:

• 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).
• You will communicate strategy, priorities and consistent product messaging to stakeholders and users.
• You will own, prioritize, communicate, and evangelize accounting product roadmap across IT and business stakeholders.
• You will engage the business to identify their needs and spot opportunities to build features that increase engagement and drive efficiencies.
• You will ensure that product directions balance both the user needs and business goals of driving cost efficiencies, end user productivity, and improve management of income and cash. 
• Define product strategy, roadmap, and execution for accounting and finance systems and workflows.
• Partner with Accounting, IT, Engineering, Data, and vendors to identify opportunities for simplification, efficiency, and stronger user experience.
• Apply strong judgment to where AI should be used, ensuring appropriate validation, controls, and human accountability.
• Help modernize accounting operations through process, technology, and enablement improvements.
  
  

What we’re looking for:

• Bachelor’s or master’s degree in computer science, Engineering or a related field; or equivalent combination of education and experience.
• Minimum of 15 years product management experience with minimum 4+ years in a product role in a global organization.
• Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments.
• Nimble to deliver for stakeholders: You know how to navigate hurdles and stay focused on great customer experience.
• Significant product ownership or product management experience in accounting systems.
• Strong understanding of accounting processes (Record to Report, Procure to Pay, Order to Cash, Tax) and the ability to connect technology investments to business value.
• Experience driving systems implementations or transformations across multiple accounting  process areas, ideally in SaaS environments.
• Demonstrated hands-on use of AI in real business workflows, not just conceptual familiarity.
• Strong judgment in validating AI outputs, managing risk, and maintaining ownership of final decisions and outcomes.
• Excellent communication, collaboration, and stakeholder management skills across technical and non-technical teams.
• Proven ability to operate strategically and tactically, from long-term vision to day-to-day delivery.
• Ability to work through ambiguity, prioritize effectively, and drive measurable outcomes.
• Strong understanding of Agile principles and iterative product development. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 
  
  

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Are you passionate about applying GenAI to improve efficiency and accelerate business execution—grounded in strong data foundations? Join Pinterest’s IT Enterprise Systems team to build analytics engineering and GenAI capabilities that power our go-to-market and corporate operations. You’ll create trusted data models and pipelines across core enterprise platforms and layer in LLM-enabled workflows with clear evaluation, observability, and guardrails.

 What you'll do:

• Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms).
• Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety.
• Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI—then translating into clear technical plans.
• Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications.
• Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery.
• Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning).
• Partner closely with business stakeholders, turning ambiguous questions into well-scoped requirements, success metrics, and deliverables; communicate tradeoffs and constraints clearly.
• Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification.
• Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization.

 What we're looking for:

• 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience).
• Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience).
• Strong understanding of LLM fundamentals and practical tradeoffs, including:
• Capabilities, limitations and common failure modes.
• Tokenization, context windows, latency/cost considerations.
• RAG vs. fine-tuning vs. prompting/tools for use cases.
• Expert SQL skills (complex joins, window functions, CTEs, query optimization).
• Hands-on experience with dimensional modeling (star schemas, SCD Type 2) and workflow orchestration tools such as Airflow, dbt.
• Demonstrated ability to validate AI-assisted output. 
• High integrity and ownership to handle sensitive enterprise data appropriately and remain accountable for final outputs.
• Strong stakeholder communication with the  ability to explain technical constraints to non-technical partners.
• Experience with GenAI coding tools (e.g., Cursor, Claude Code) to accelerate development while maintaining code quality and maintainability.

Relocation Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

In-Office Requirement Statement:

• This role will need to be in the office for in-person collaboration 1-2 times/quarter every 6-months and therefore can be situated anywhere in the country.
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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#LI-REMOTE

Are you passionate about transforming financial and business operations through product, analytics, and AI? Join the IT Enterprise Systems team at Pinterest to help build the next generation of capabilities that power planning, forecasting, modeling, and decision support across the business.

What you’ll do:

• 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.

What we’re looking for:

• Bachelor’s or master’s degree in computer science, Engineering or a related field; or equivalent combination of education and experience
• Minimum of 12 years product management experience with minimum 3+ years in a product role in a global organization.
• Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments
• Nimble to deliver for stakeholders: You know how to navigate hurdles and stay focused on great customer experience.
• Significant product ownership or product management experience in financial planning  systems, analytics platforms, or adjacent internal products.
• Strong understanding of financial planning, forecasting, business operations, modeling, or decision-support workflows.
• Experience enabling analytics, data products, or systems that support planning and performance management.
• Demonstrated hands-on use of AI in real business workflows, not just conceptual familiarity.
• Strong judgment in validating AI outputs, managing risk, and maintaining accountability for final decisions and recommendations.
• Excellent communication, collaboration, and stakeholder management skills across technical and non-technical teams.
• Proven ability to move between strategic thinking and hands-on execution.
• Ability to work through ambiguity, simplify complexity, and deliver measurable outcomes.
• Strong understanding of Agile principles and iterative product development.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

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The IT Collaboration and Productivity Engineering team builds and runs the collaboration and productivity platforms that power how Pinployees communicate, share information, and get work done. We own core SaaS platforms such as Google Workspace, O365, Gemini, Jira, Confluence, Slack, and other collaboration, productivity, and AI tools, and partner closely with Security, People, Legal, and Engineering to design secure, reliable, and intuitive experiences.

As a Staff Collaboration Systems Engineer primarily focused on Google Workspace, you will be the technical lead for our Workspace environment and a key owner for other collaboration platforms (including O365, Highspot, Gemini, and AI-powered collaboration tools) — shaping their long‑term architecture, driving major cross‑functional initiatives, and mentoring others in building robust, automation‑driven solutions.

What you’ll do:

• Own the Google Workspace platform end‑to‑end – act as the primary technical authority for Gmail, Calendar, Drive/Shared Drives, Docs/Sheets/Slides, Groups, Chat/Spaces, Meet, and related services, including tenant configuration, routing, directory/OU design, and policy governance.
• Design and evolve the collaboration architecture – define standards, guardrails, and best practices for domains, org structure, resource hierarchy, external sharing, retention, and data protection to support a global, hybrid workforce.
• Lead incident response and complex troubleshooting for high‑impact Workspace issues, driving root‑cause analysis, long‑term fixes, and learning‑oriented postmortems in partnership with IT Operations, Security, and vendors.
• Build automation and integrations using scripting (e.g., Apps Script, Python, or similar) and Google Workspace APIs/SDKs to streamline user and group lifecycle, license management, configuration as code, and health/usage monitoring.
• Integrate Google Workspace with identity, security, and IT workflows (e.g., SSO/IdP, MDM, DLP, e‑discovery/archival, logging, ITSM) in close collaboration with Security and other infrastructure teams.
• Use AI as a force multiplier for your work — for example, using AI assistants to draft scripts, configuration templates, documentation, or runbooks — while validating outputs through tests, dry‑runs, and peer review, and maintaining full ownership of the final results.
• Lead cross‑functional projects such as Workspace migrations, domain consolidations, tool rationalization, and new collaboration patterns (e.g., shared drives strategy, calendar/resource strategy, Chat/Spaces usage) from design through rollout.
• Mentor and uplevel other engineers by reviewing designs and implementations, sharing best practices, and providing clear guidance aligned to Role Expectations Guides (REGs), leveling criteria, and Pinterest competencies.
• Represent the team with stakeholders across the company, translating business needs into durable technical solutions, communicating trade‑offs, and ensuring decisions reflect “Act as one” and “Create belonging” for our global workforce.
  
  

What we’re looking for:

• 8+ years of experience in IT systems or collaboration/platform engineering, including significant hands-on ownership of Google Workspace in a medium-to-large environment.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• Deep Google Workspace experience running large or complex environments (ideally multi-domain or multi-org), across Gmail, Calendar, Drive/Shared Drives, Groups, Chat/Spaces, and Meet.
• Strong systems design and troubleshooting skills, including debugging issues that span clients, network, identity, and backend services.
• Solid scripting and automation skills (e.g., Google Apps Script, GAM, Python), and experience using Google Workspace APIs/SDKs to automate lifecycle, configuration, and reporting.
• Experience implementing and operating security, privacy, and compliance controls such as DLP, retention/legal hold, e-discovery, external sharing policies, SPF/DKIM/DMARC, and access reviews.
• Experience integrating Google Workspace with identity (SSO/SCIM), MDM/endpoint tools, logging/observability, and ticketing/ITSM systems.
• Proven use of AI tools to speed up engineering or operations work (e.g., generating code, runbooks, or summaries), with a clear approach to validating outputs, reducing bias, and protecting reliability and security.
• Track record of operating at a staff-level scope: leading large, complex initiatives, shaping cross-team roadmaps, and owning impactful outcomes.
• Ability to lead and mentor other engineers, give clear technical direction, and partner effectively with managers, product owners, and stakeholders.
• Comfort working across diverse teams and locations, consistently modeling Pinterest’s values: putting Pinners and Pinployees first, aiming for high quality, acting as one team, and approaching challenges with a “win or learn” mindset.

In-Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country, with a preference for candidates based on the West Coast.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-JD3

Are you interested in budget planning, software lifecycle, and vendor management? Join the IT Vendor Management Team at Pinterest where we are responsible for creating and managing the future of our IT resources. In this role, you will play a key role in developing strategies and implementing tools and processes to achieve our vision.

What you’ll do:

• Act as a representative of Pinterest’s global asset footprint; driving analytics, governance, recommendations, and cost savings opportunities across software, SaaS, cloud, hardware, infrastructure and consulting agreements. 
• Partner with IT and business stakeholders to onboard AI tool pilots, providing white-glove support to navigate legal review and vendor security compliance.
• Assist IT management in understanding financial and other business data, including cloud, network, desktop, consulting and SaaS/licensing. Develop models and analyses to drive better decision-making and business performance, identify trends, opportunities, and risks. 
• In partnership with Procurement and IT, review invoices, contracts, etc., to ensure accurate budgeting/forecasting and to optimize cost. 
• Review vendor history and work with technical teams to understand current and future licensing needs, performing analytics across various tools (discovery, financial, contracting, outside portals) as needed to establish license positioning.
• Assist in the preparation and execution of Quarterly Business Reviews (QBRs) for strategic vendors, analyzing performance metrics and discussing opportunities for improvement and growth.
• Support the management of Software Asset Management (SAM) tools to analyze enterprise-wide software spend, identify savings opportunities, and develop a long-term roadmap for software optimization.
• Assist in the management and development of the IT Team’s budget, by working with our IT senior leadership team and financial planning and analyst team to update our monthly/yearly forecasts. 

What we’re looking for:

• 5+ years of experience in Software Asset Management (SAM) or a related function, with strong knowledge of software licensing, SaaS, cloud, and enterprise software spend management.
• 5+ years of experience managing the full lifecycle of complex vendor engagements, including onboarding, offboarding, renewals, contract analysis, licensing reviews, and Quarterly Business Reviews (QBRs).
• Strong analytical and financial modeling skills, with advanced spreadsheet experience and familiarity with budgeting and forecasting cycles, reconciling invoices and contracts, and translating complex spend data into clear recommendations, forecasts, and long-term value opportunities.
• Strong written and verbal communication skills, with the ability to prepare executive-ready materials and clearly communicate insights, recommendations, and business impacts to senior stakeholders.
• Demonstrated cross-functional collaboration skills, with experience partnering effectively with Procurement, Finance, FP&A, IT leadership, security, legal, and business stakeholders to drive aligned outcomes.
• Ability to support strategic vendor and software investment decisions by evaluating business requirements, assessing current and future licensing needs, and developing informed recommendations aligned to organizational goals.
• Experience using and managing SAM, discovery, financial, contract, and vendor management tools to analyze enterprise technology spend, perform software inventory and license positioning, track compliance, and optimize costs.
• Experience working in Agile or sprint-based operating models to drive process improvements, scale services, and deliver results in fast-moving, cross-functional environments.
• Preferred: experience supporting the onboarding of emerging technology or AI tools, including coordination across legal, security, compliance, and business stakeholders.
• Bachelor’s degree in Information Systems a related field or equivalent experience.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country, with a preference for candidates based on the West Coast.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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We are looking for a Business Savvy Engineering Manager to help define the future of Corporate IT’s ai based future at Pinterest. Working closely with cross-functional engineering teams and business leaders you’ll lead a nimble team playing a pivotal role in scaling Corporate IT’s engineering department. You will guide your team in designing and building the solutions that make our business partners jobs easier, faster and more capable. You will grow and empower engineers while shaping how we build Pinterest's AI future.

What you'll do:

• Lead a team of employees and contractors focused on solving business problems using AI tools. 
• Work closely with the existing software engineering teams to develop a seamless and low friction client experience.
• Mentor junior engineers to help them grow and develop into the best that they can be.
• Motivate and lead your team to show up every day and do their best work.
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
• Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality

What we're looking for:

• 2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
• 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
• Proficiency in designing and delivering AI based solutions that solve real world business problems.
• Understanding of business unit challenges and problems, Focused on Finance, Accounting, Legal, Sales and Marketing.
• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
• Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
• Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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