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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Our Merchants organization focuses on onboarding and activation, catalog quality and health, merchant presence (including creator/UGC and trust signals), and ads upsell—helping merchants build healthy catalogs, reach the right audiences, and unlock clear paths to growth. In this role, you’ll lead high-impact engineering at the intersection of commerce platforms, catalog systems, and AI-native experiences. This includes applying ML, AI-assisted workflows, and GenAI where appropriate to improve metadata quality, merchant tooling, and operational efficiency. You’ll partner closely with Engineering Managers, Product Managers, Data Scientists, and other senior engineers to deliver systems with measurable business and user impact. What you’ll do: Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, and iteration. Shape catalog and integration systems for scale, reliability, and quality, ensuring merchant data is deep, broad, fresh, and actionable across partners, formats, and key signals such as inventory and pricing where relevant. Build and evolve ML-, GenAI-, and AI-assisted merchant experiences with strong validation and guardrails—for example, metadata enrichment, gap-filling, and internal tools that improve catalog health without compromising trust. Contribute to merchant onboarding and activation systems that span teams, creating streamlined flows, signals, and decisioning pathways that improve approval rates, merchant quality, and time to value. Partner where appropriate on organic attribution, merchant insights, and data-driven pathways from organic success to paid products, ensuring strategy is measurable rather than anecdotal. Drive technical decisions using clear tradeoffs across revenue, conversion, catalog health, engagement, and Torso success. Mentor senior engineers and raise the bar for technical design, engineering quality, and production readiness across the organization. Use AI to accelerate your own work —across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes. What we’re looking for: 10+ years of software engineering experience, including meaningful time as a Staff, Senior Staff, or equivalent-level IC building and operating complex production systems. Strong track record in commerce, marketplaces, ads, or other adjacent large-scale domains, including leadership on cross-team technical initiatives. Deep experience in systems design, API design, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability. Experience building or partnering on ML-, AI-, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly. Catalog, integrations, or merchant platform experience is a strong plus. Experience with growth, measurement, funnel optimization, or organic-to-paid ecosystems is a plus. Strong communication skills and the ability to influence technical direction without directly owning every implementation detail. Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical experience. 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/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco or Palo Alto . #LI-HYBRID #LI-CL5 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $245,402 — $429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Our Merchants organization focuses on onboarding and activation, catalog quality and health, merchant presence (including creator/UGC and trust signals), and ads upsell—helping merchants build healthy catalogs, reach the right audiences, and unlock clear paths to growth. In this role, you’ll lead high-impact engineering at the intersection of commerce platforms, catalog systems, and AI-native experiences. This includes applying ML, AI-assisted workflows, and GenAI where appropriate to improve metadata quality, merchant tooling, and operational efficiency. You’ll partner closely with Engineering Managers, Product Managers, Data Scientists, and other senior engineers to deliver systems with measurable business and user impact. What you’ll do: Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, and iteration. Shape catalog and integration systems for scale, reliability, and quality, ensuring merchant data is deep, broad, fresh, and actionable across partners, formats, and key signals such as inventory and pricing where relevant. Build and evolve ML-, GenAI-, and AI-assisted merchant experiences with strong validation and guardrails—for example, metadata enrichment, gap-filling, and internal tools that improve catalog health without compromising trust. Contribute to merchant onboarding and activation systems that span teams, creating streamlined flows, signals, and decisioning pathways that improve approval rates, merchant quality, and time to value. Partner where appropriate on organic attribution, merchant insights, and data-driven pathways from organic success to paid products, ensuring strategy is measurable rather than anecdotal. Drive technical decisions using clear tradeoffs across revenue, conversion, catalog health, engagement, and Torso success. Mentor senior engineers and raise the bar for technical design, engineering quality, and production readiness across the organization. Use AI to accelerate your own work —across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes. What we’re looking for: 10+ years of software engineering experience, including meaningful time as a Staff, Senior Staff, or equivalent-level IC building and operating complex production systems. Strong track record in commerce, marketplaces, ads, or other adjacent large-scale domains, including leadership on cross-team technical initiatives. Deep experience in systems design, API design, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability. Experience building or partnering on ML-, AI-, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly. Catalog, integrations, or merchant platform experience is a strong plus. Experience with growth, measurement, funnel optimization, or organic-to-paid ecosystems is a plus. Strong communication skills and the ability to influence technical direction without directly owning every implementation detail. Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical experience. 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/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco or Palo Alto . #LI-HYBRID #LI-CL5 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $245,402 — $429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What we’re looking for: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. We are looking for a passionate, inquisitive, and well-rounded Sr. Staff Backend Engineer to join the Pinterest Assistant team. The team is building a visual-first, AI-powered companion that helps Pinners go from inspiration to action across shopping, search, and discovery. As the technical leader for our backend platform, you will define the architecture and technical direction that powers our multi-modal, conversational experiences at scale. You’ll drive foundational investments across orchestration, memory and personalization, context management, tool integrations, APIs, and platform infrastructure, enabling the next generation of AI experiences. Working closely with Product, Design, Frontend, Infrastructure, and Machine Learning teams, you’ll shape the long-term technical strategy, raise the engineering bar across the organization, and build reliable, high-quality experiences that delight millions of Pinners. What you’ll do: Define and drive the technical vision and architecture for the backend systems powering Pinterest Assistant, ensuring they scale reliably as the product reaches millions of users. Lead the design and implementation of the core Assistant platform including orchestration, memory and personalization, context management, APIs, tool integrations, and backend infrastructure. Drive technical strategy, identifying foundational platform investments that unlock new Assistant capabilities while improving developer velocity, reliability, and scalability. Partner closely with Product, Design, Frontend engineers, ML engineers, and Infrastructure teams to build a deeply personalized, multimodal conversational experience. Shape the architecture for AI-powered applications, including retrieval, context assembly, tool execution, memory, and model orchestration, in partnership with ML teams. Establish engineering best practices for production LLM and agent systems, including observability, logging, evals, safety mechanisms, rollout strategies, and incident response. Mentor engineers, raising the technical bar through architecture reviews, technical guidance, and thoughtful engineering leadership. Navigate ambiguity and make pragmatic architectural decisions that balance rapid product iteration with long-term maintainability. Influence technical direction beyond the immediate team by collaborating across teams and helping shape Pinterest’s broader AI platform strategy. Stay current with advances in LLMs, agentic systems, and backend platform design, and apply them pragmatically to consumer product development. What we're looking for: Bachelor’s degree in a relevant field such as computer science or equivalent experience 10+ years of backend software engineering experience, including significant experience leading large, ambiguous systems that power consumer experience as a senior IC. 3+ years operating as a technical lead, driving the architecture and development of large-scale distributed backend systems. Strong backend engineering experience in Python, TypeScript, Node or similar languages and ecosystems. Experience building platforms or foundational infrastructure that enables product teams to move faster. Strong understanding of modern model-driven systems and experience partnering closely with machine learning engineers on AI-powered products. Strong leadership, communication, and cross-functional collaboration skills Familiarity with concepts such as retrieval, ranking, personalization, inference, context management, or orchestration, with ability to collaborate effectively on technical design. Track record of mentoring senior engineers and elevating engineering quality across an organization Product-minded and execution-oriented, with the ability to lead in ambiguity and move fluidly between strategy and hands-on implementation A strong builder’s mindset: you know how to create momentum in ambiguous spaces, make pragmatic early decisions, and lay the technical foundation for systems that will grow in scale, complexity, and impact over time. Nice to have: Experience building AI-powered or LLM-based products at scale Experience designing systems for conversational AI, agents, tool calling, or multimodal experiences. Experience with retrieval, ranking, recommendation, search, or personalization systems. Familiarity with embeddings, retrieval-augmented generation (RAG), context management, or memory architecture. Experience partnering with Applied Scientists or Machine Learning engineers to bring ML capabilities into production. Familiarity with evaluation frameworks, experimentation, and quality frameworks for AI products. Full-stack development experience Relocation Statement : Insert whether this job is eligible for relocation assistance. 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 once per quarter and therefore can be situated anywhere in the country. #LI-HYBRID #LI-KK6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $208,592 — $429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What we’re looking for: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. We are looking for a passionate, inquisitive, and well-rounded Sr. Staff Backend Engineer to join the Pinterest Assistant team. The team is building a visual-first, AI-powered companion that helps Pinners go from inspiration to action across shopping, search, and discovery. As the technical leader for our backend platform, you will define the architecture and technical direction that powers our multi-modal, conversational experiences at scale. You’ll drive foundational investments across orchestration, memory and personalization, context management, tool integrations, APIs, and platform infrastructure, enabling the next generation of AI experiences. Working closely with Product, Design, Frontend, Infrastructure, and Machine Learning teams, you’ll shape the long-term technical strategy, raise the engineering bar across the organization, and build reliable, high-quality experiences that delight millions of Pinners. What you’ll do: Define and drive the technical vision and architecture for the backend systems powering Pinterest Assistant, ensuring they scale reliably as the product reaches millions of users. Lead the design and implementation of the core Assistant platform including orchestration, memory and personalization, context management, APIs, tool integrations, and backend infrastructure. Drive technical strategy, identifying foundational platform investments that unlock new Assistant capabilities while improving developer velocity, reliability, and scalability. Partner closely with Product, Design, Frontend engineers, ML engineers, and Infrastructure teams to build a deeply personalized, multimodal conversational experience. Shape the architecture for AI-powered applications, including retrieval, context assembly, tool execution, memory, and model orchestration, in partnership with ML teams. Establish engineering best practices for production LLM and agent systems, including observability, logging, evals, safety mechanisms, rollout strategies, and incident response. Mentor engineers, raising the technical bar through architecture reviews, technical guidance, and thoughtful engineering leadership. Navigate ambiguity and make pragmatic architectural decisions that balance rapid product iteration with long-term maintainability. Influence technical direction beyond the immediate team by collaborating across teams and helping shape Pinterest’s broader AI platform strategy. Stay current with advances in LLMs, agentic systems, and backend platform design, and apply them pragmatically to consumer product development. What we're looking for: Bachelor’s degree in a relevant field such as computer science or equivalent experience 10+ years of backend software engineering experience, including significant experience leading large, ambiguous systems that power consumer experience as a senior IC. 3+ years operating as a technical lead, driving the architecture and development of large-scale distributed backend systems. Strong backend engineering experience in Python, TypeScript, Node or similar languages and ecosystems. Experience building platforms or foundational infrastructure that enables product teams to move faster. Strong understanding of modern model-driven systems and experience partnering closely with machine learning engineers on AI-powered products. Strong leadership, communication, and cross-functional collaboration skills Familiarity with concepts such as retrieval, ranking, personalization, inference, context management, or orchestration, with ability to collaborate effectively on technical design. Track record of mentoring senior engineers and elevating engineering quality across an organization Product-minded and execution-oriented, with the ability to lead in ambiguity and move fluidly between strategy and hands-on implementation A strong builder’s mindset: you know how to create momentum in ambiguous spaces, make pragmatic early decisions, and lay the technical foundation for systems that will grow in scale, complexity, and impact over time. Nice to have: Experience building AI-powered or LLM-based products at scale Experience designing systems for conversational AI, agents, tool calling, or multimodal experiences. Experience with retrieval, ranking, recommendation, search, or personalization systems. Familiarity with embeddings, retrieval-augmented generation (RAG), context management, or memory architecture. Experience partnering with Applied Scientists or Machine Learning engineers to bring ML capabilities into production. Familiarity with evaluation frameworks, experimentation, and quality frameworks for AI products. Full-stack development experience Relocation Statement : Insert whether this job is eligible for relocation assistance. 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 once per quarter and therefore can be situated anywhere in the country. #LI-HYBRID #LI-KK6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $208,592 — $429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems. What you’ll do: Design, build, and operate full‑stack applications and services on Pinterest’s enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows. Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails. Own the end‑to‑end software development lifecycle for these systems: requirements gathering, architecture, implementation, testing, deployment, monitoring, and continuous improvement. Partner closely with product managers, business systems analysts, and other engineers to translate ambiguous business needs into well‑defined technical plans, success metrics, and deliverables—and to make thoughtful tradeoffs between scope, risk, and speed. Use AI coding tools and agents to accelerate development responsibly (e.g., drafting code and tests, iterating on designs, summarizing findings), while applying rigorous testing, code review, and observability to ensure quality and reliability. Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows, contributing to technical decision‑making and raising the bar on engineering practices within the team. What we’re looking for: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience. Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools, campaign management and measurement, or revenue operations workflows), with a clear understanding of how these partners use data and tooling to hit their goals. 10+ years of software engineering experience building and operating production systems, including full‑stack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus. Strong proficiency in Python and experience with at least one of: Java, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams. Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows. Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including an understanding of evaluation, observability, and common failure modes. Demonstrated ability to use AI tools and agents to write, review, and validate detailed technical design documents (TDDs), specifications, and test plans as part of a spec‑driven, agentic development workflow, while maintaining ownership of technical decisions, quality, and correctness. Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar) and/or agents in your development workflow, with a demonstrated ability to validate AI‑assisted output and maintain high standards for quality, security, and maintainability. Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners. Outcome‑oriented mindset: you focus on delivering business outcomes rather than just technical outputs, using technology and AI thoughtfully to positively impact key performance metrics for Sales, Marketing, and Finance. Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations) is a plus, especially where it supports Sales and Marketing workflows. 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. #LI-REMOTE #LI-JD3 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $132,415 — $272,619 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems. What you’ll do: Design, build, and operate full‑stack applications and services on Pinterest’s enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows. Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails. Own the end‑to‑end software development lifecycle for these systems: requirements gathering, architecture, implementation, testing, deployment, monitoring, and continuous improvement. Partner closely with product managers, business systems analysts, and other engineers to translate ambiguous business needs into well‑defined technical plans, success metrics, and deliverables—and to make thoughtful tradeoffs between scope, risk, and speed. Use AI coding tools and agents to accelerate development responsibly (e.g., drafting code and tests, iterating on designs, summarizing findings), while applying rigorous testing, code review, and observability to ensure quality and reliability. Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows, contributing to technical decision‑making and raising the bar on engineering practices within the team. What we’re looking for: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience. Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools, campaign management and measurement, or revenue operations workflows), with a clear understanding of how these partners use data and tooling to hit their goals. 10+ years of software engineering experience building and operating production systems, including full‑stack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus. Strong proficiency in Python and experience with at least one of: Java, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams. Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows. Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including an understanding of evaluation, observability, and common failure modes. Demonstrated ability to use AI tools and agents to write, review, and validate detailed technical design documents (TDDs), specifications, and test plans as part of a spec‑driven, agentic development workflow, while maintaining ownership of technical decisions, quality, and correctness. Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar) and/or agents in your development workflow, with a demonstrated ability to validate AI‑assisted output and maintain high standards for quality, security, and maintainability. Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners. Outcome‑oriented mindset: you focus on delivering business outcomes rather than just technical outputs, using technology and AI thoughtfully to positively impact key performance metrics for Sales, Marketing, and Finance. Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations) is a plus, especially where it supports Sales and Marketing workflows. 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. #LI-REMOTE #LI-JD3 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $132,415 — $272,619 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks. Lead projects on: 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. What we’re looking for: 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience 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 per week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $164,695 — $339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks. Lead projects on: 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. What we’re looking for: 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience 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 per week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $164,695 — $339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.