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Software Engineer II, ML Platform, tvScientific
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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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are looking for an ambitious Systems / Platform Engineer to join a team at the intersection of SRE and low-latency distributed systems. This team will help power Pinterest’s next generation of realtime ML and measurement infrastructure, with a focus on sub‑millisecond decisioning, high‑throughput data access, and tight integration with Pinterest’s core tech stack.
In this role, you’ll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You’ll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions. You’ll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production.
If topics like IO scheduling and batching, lock‑free or low‑contention data structures, connection pooling, query planning, kernel and network tuning, on‑disk layout and indexing, circuit‑breaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it’s just a subset), this role gives you a chance to apply that expertise to business‑critical, high‑leverage infrastructure at Pinterest scale.
What you'll do:
- Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
- Improve the developer experience for the data science team
- Upgrade our observability tooling
- Make every deployment smooth as our infrastructure evolves.
What we're looking for:
- Deep understanding of Linux
- Excellent writing skills
- A systems-oriented mindset
- Experience in high-performance software (RTB, HFT, etc.)
- Software engineering experience + reliability (e.g. CI/CD) expertise
- Strong observability instincts
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-To-Haves
- Reverse-engineering experience
- Terraform, EKS, or MLOps experience
- Python, Scala, or Zig experience
- NixOS experience
- Adtech or CTV experience
- Experience deploying a distributed system across multiple clouds
- Experience in hard real-time low-latency (<10 ms) environments
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We’re looking for a Sales Engineer to be the go-to technical partner for our customers—from the first “what is tvScientific?” conversation all the way through onboarding and beyond.
You’ll work side-by-side with Sales and Onboarding to scope out the right solutions, showcase what our platform can do, and make sure everything runs smoothly once clients are ready to go live. This role is a mix of technical problem-solver and trusted guide—you’ll help clients understand how we fit into their world and make sure they’re set up for long-term success.
What You'll Do:
- Serve as the primary technical expert during the sales cycle, partnering closely with Sales to design, explain, and validate client integrations
- Lead discovery conversations to understand client integration preferences, including client-side pixels, server-to-server postbacks, and custom reporting needs
- Recommend measurement and attribution solutions tailored to each client’s business goals and technical environment
- Troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy
- Translate complex technical concepts into clear, client-friendly explanations to build trust and drive deal confidence
- Work cross-functionally with Product, Engineering, and Customer Success to relay client needs and integration feedback
- Stay current on ad tech, programmatic advertising, privacy changes, and measurement best practices to inform solutions and recommendations
- Document best practices, integration patterns, and technical solutions for internal teams and clients
- Leverage AI tools to improve day-to-day efficiency across technical discovery, research, documentation, and internal knowledge sharing
- Use AI-assisted workflows to accelerate issue investigations, troubleshoot conversion requests and event flows, and draft technical documentation
What We're Looking For:
- 3+ years in a technical, client-facing role (Sales Engineering, Pre-Sales, Technical Account Management)
- Strong understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising
- Hands-on experience with tracking technologies (pixels, SDKs, server-side postbacks, APIs, tag management solutions)
- Strong debugging skills and comfort working with logs, network requests, and data validation tools
- Strong communication and problem-solving skills
- A proactive mindset with the ability to work cross-functionally and independently
- Comfort translating technical complexity into accessible explanations
- Experience using AI tools to accelerate technical research, troubleshooting, documentation, and workflow efficiency
- Strong judgment in applying AI-assisted workflows to customer-facing technical work while maintaining accuracy, clarity, and trust
- Nice to Haves
- Familiarity with programmatic platforms (DSPs, SSPs, exchanges)
- Experience working with enterprise clients and complex technical stakeholders
- Knowledge of analytics, conversion tracking, measurement, and attribution solutions
- Working knowledge of privacy frameworks and regulations (GDPR, CCPA, consent management, cookie deprecation)
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Software Engineer, Simulation, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
What you’ll do:
- Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
- Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
- Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
- Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
- Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
What we’re looking for:
- Systems programming experience in Zig or similar (C, C++, Rust)
- Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
- Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
- Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
- Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
- Clear written communication: you'll be defining new technical directions and need to bring others along
- Ownership: you scope, design, and ship systems end-to-end with minimal direction
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
- Nice-to-Haves:
- Strong production Python skills and experience building simulation or modeling systems
- Causal inference — uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
- Experience with discrete event simulation, Monte Carlo methods, or digital twins
- Reinforcement learning — using simulated environments for policy learning and evaluation
- Experience building agentic AI systems or multi-agent simulations
- Big data experience with Scala and Spark
- MLOps experience — model deployment, monitoring, and pipeline orchestration on AWS
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Software Engineer II, Backend, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We’re looking for a Backend Engineer to help design, build, and scale tvScientific’s contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.
You’ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.
This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.
What you'll do:
- Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
- Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
- Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
- Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
- Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
- Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
- Improve system observability, reliability, and performance as contract volume and complexity scale
- Own backend services and data models related to contracts and billing
- Lead technical design discussions and make pragmatic architectural decisions
- Write clean, well-tested, and maintainable code with a strong focus on correctness
- Drive improvements in data consistency, validation, and error handling across contract workflows
- Review code and mentor other engineers, setting a high bar for backend quality
- Collaborate cross-functionally to support new deal structures and evolving business models
What we're looking for:
- Experience with billing/contract mechanisms (specifically affiliate platforms)
- Bachelor’s degree in computer science, a related field or equivalent experience
- Experience building large-scale full-stack products.
- Deep understanding of web development and best practices in React/Redux
- Strong experience with programming languages Javascript and Python/Java
- Strong software engineering principles and practices
- Strong collaboration and communication skills
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-to-Haves:
- Experience working closely with finance or accounting teams
- Background in building audit-friendly or compliance-sensitive systems
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Software Engineer, Backend, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We’re looking for a Senior Backend Engineer to help design, build, and scale tvScientific’s contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.
You’ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.
This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.
What you'll do:
- Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
- Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
- Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
- Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
- Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
- Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
- Improve system observability, reliability, and performance as contract volume and complexity scale
- Own backend services and data models related to contracts and billing
- Lead technical design discussions and make pragmatic architectural decisions
- Write clean, well-tested, and maintainable code with a strong focus on correctness
- Drive improvements in data consistency, validation, and error handling across contract workflows
- Review code and mentor other engineers, setting a high bar for backend quality
- Collaborate cross-functionally to support new deal structures and evolving business models
What we're looking for:
- Experience with billing/contract mechanisms (specifically affiliate platforms)
- Bachelor’s degree in computer science, a related field or equivalent experience
- Experience building large-scale full-stack products.
- Deep understanding of web development and best practices in React/Redux
- Strong experience with programming languages Javascript and Python/Java
- Strong software engineering principles and practices
- Strong collaboration and communication skills
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-to-Haves:
- Experience working closely with finance or accounting teams
- Background in building audit-friendly or compliance-sensitive systems
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Staff Product Manager, Activation - tvScientific
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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.
tvScientific seeks a Staff Product Manager to join our Activation team. This position is pivotal in scaling access to Streaming Advertising across Connected TV and other formats. The individual will assume ownership of their roadmap, guiding development from conception to launch in collaboration with Engineering and partners. This role's output will directly enhance campaign performance, optimization, and creative functionalities.
This is a highly cross-functional role demanding both technical acumen and robust product leadership. The Staff Product Manager will collaborate with Engineering and partner teams to construct scalable, reliable, and supportable technology that yields significant business value. Key responsibilities include defining core metrics, authoring precise product specifications, and ensuring internal teams are equipped to articulate the value proposition of CTV across our platform and to the broader market.
What you'll do:
- Define and execute the product strategy for a significant portion of our Activation suite, establishing the vision both internally and externally.
- Collaborate with various engineering teams, specifically those focused on campaign management and creative development, to architect and deliver a market-leading suite of capabilities.
- Develop services designed for operational efficiency and scale by considering the entire advertiser and campaign lifecycle.
- Partner with Legal, Security, and Data teams to ensure adherence to CCPA, GDPR, and global privacy regulations.
- Document detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on high-impact features that align with the tvScientific strategy.
- Establish and monitor key performance indicators such as feature adoption and revenue influenced to inform feature development, refinement, and new initiatives.
- Core Responsibilities & Product Development Leadership:
- Product Portfolio Growth and Scalability: Be the driving force behind the execution and continuous enhancement of a multi-faceted, revenue-generating product portfolio. This includes identifying strategic opportunities for innovation, overseeing the entire product lifecycle from conceptualization through launch, and ensuring the technical architecture is scalable, resilient, and capable of supporting exponential growth in user adoption and transaction volume. A key focus will be on delivering enhancements that directly increase advertiser value and optimize the yield for both tvScientific and Pinterest platforms.
- Cross-Functional Collaboration & Partnership:
- High-Impact Stakeholder Management: Establish and maintain a gold-standard of collaboration and partnership with critical internal and external stakeholders. This requires building strong, trusting relationships with Engineering, Data Science, Design, Sales, and Marketing teams at both tvScientific and Pinterest.
- Seamless Integration and Alignment:
- Act as the central liaison, ensuring complete alignment on product roadmaps, technical specifications, and delivery timelines between the two companies. This involves proactively communicating risks, sharing progress transparently, and facilitating joint problem-solving sessions to navigate complex technical and business challenges. The goal is to create a seamless, cohesive working environment that maximizes the value derived from the partnership.
- Act as the central liaison, ensuring complete alignment on product roadmaps, technical specifications, and delivery timelines between the two companies. This involves proactively communicating risks, sharing progress transparently, and facilitating joint problem-solving sessions to navigate complex technical and business challenges. The goal is to create a seamless, cohesive working environment that maximizes the value derived from the partnership.
What we're looking for:
- Minimum of ten years' experience in digital advertising product management.
- Extensive experience collaborating with both internal and external technical Engineering teams to develop and deploy public services infrastructure.
- Demonstrated expertise in activation workflows, schemas, and architecture within large-scale advertising platforms.
- Possesses a robust analytical mindset and proficiency in working with substantial datasets.
- Technical acumen spanning APIs, data pipelines, and software applications.
- Exceptional communication skills, capable of translating complex technical concepts into tangible business value.
- A strong foundational understanding of ad technology, with preference given to candidates possessing Connected TV experience.
- You may also have:
- Demonstrated expertise in programmatic advertising and digital media procurement.
- Knowledge of compliance and regulatory considerations within the advertising technology sector.
- Attainment of certification or specialized training in Agile or Scrum frameworks.
- Prior experience engaging with industry collaborators and cultivating strategic partnerships.
- Fluency in supplementary languages pertinent to the advertising technology marketplace.
- Bachelor’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.
- 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/quarter and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-REX
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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
tvScientific is looking for a Senior QA Engineer for its Web Platform with strong expertise in web and API testing. This role requires a balance of manual testing excellence and automation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.
You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.
What you'll do:
- 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.
What we're looking for:
- Experience in QA / Quality Engineering, with a strong focus on web platforms and APIs
- Proven hands-on experience with manual testing of complex, consumer-facing web applications
- Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar
- Hands-on experience with web automation frameworks (Playwright, Cypress)
- Solid understanding of HTTP, REST and API design principles
- Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
- Experience working in Agile/Scrum environments
- Strong debugging, analytical, and communication skills
- Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-to-Haves:
- Experience testing large-scale, high-traffic web platforms
- Familiarity with React or modern frontend frameworks
- Experience with performance, load, or reliability testing for APIs and web applications
- Exposure to feature flags, experimentation platforms, or observability tools
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Staff Software Engineer, Big Data, tvScientific
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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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Design and maintain a scalable identity resolution platform
- Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
- Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
- Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
- Build and operate batch and streaming pipelines using modern data stack tools
- Create clear documentation, standards, and runbooks for identity and governance systems
- Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
- Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
- Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
- Establish monitoring and alerting for data quality, freshness, and integrity
What we're looking for:
- Production data engineering experience
- Bachelor’s degree in computer science, related field or equivalent experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Excellent written and verbal communication skills
- Successful design and implementation of scalable and efficient data infrastructure
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- 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 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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Software Engineer, ML Platform, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific’s distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.
As part of our team, you’ll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it’s just a subset), your expertise could play a key role in shaping tvScientific’s ML innovation in 2026 and beyond.
What You'll Do
- Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
- Improve the developer experience for the data science team
- Upgrade our observability tooling
- Serve as a technical lead and mentor to the team
- Make every deployment smooth as our infrastructure evolves.
What We're Looking For
- Deep understanding of Linux
- Excellent writing skills
- A systems-oriented mindset
- Experience in high-performance software (RTB, HFT, etc.)
- Software engineering experience + reliability (e.g. CI/CD) expertise
- Strong observability instincts
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-To-Haves
- Reverse-engineering experience
- Terraform, EKS, or MLOps experience
- Python, Scala, or Zig experience
- NixOS experience
- Adtech or CTV experience
- Experience deploying a distributed system across multiple clouds
- Experience in hard real-time low-latency (<10 ms) environments
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Senior Account Manager, tvScientific (Affiliate/CPA)
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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.
About tvScientific
We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).
Join the tvScientific team as a Senior Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform.
As a Senior Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll leverage your expertise in performance marketing and CTV advertising to deliver exceptional value to our clients, exceed revenue targets, and contribute to the overall growth and success of our organization.
What you'll do:
- Lead and manage a portfolio of key client accounts, spanning various industries including retail, leisure, and tech-adjacent sectors.
- Launch, serve, and optimize campaigns for clients, ensuring maximum ROI and campaign success.
- Proactively pick up the phone and engage in meaningful conversations with customers and agencies about digital media, including CTV advertising.
- Develop and execute strategic account plans to drive revenue growth, retention, and expansion opportunities within existing client accounts.
- Identify and capitalize on upsell and cross-sell opportunities, leveraging your digital media and advertising experience to maximize revenue potential.
- Collaborate closely with internal teams, including sales, product, and support, to ensure seamless execution of client campaigns and initiatives.
- Monitor and analyze campaign performance metrics, providing insights and recommendations to optimize client campaigns and drive superior results.
- Act as a trusted advisor to clients, providing expert guidance, industry insights, and best practices to help them achieve their advertising objectives.
- Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
- Provide mentorship and support to junior account management team members.
- Use AI to speed up optimizations: Leverage AI tools to quickly spot performance drivers and issues (e.g., ROAS trends, creative fatigue, pacing) and turn them into clear optimization actions for clients.
What we're looking for:
- Extensive experience (5+ years) in sales or account management in the digital advertising or performance marketing industry.
- 1+ years management experience and proven track record of managing a world-class sales or account management team, including forecasting experience and achieving or exceeding revenue goals.
- Strong understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising.
- Experience with digital media platforms, MMPs, or supporting tools, working with major agencies.
- Strong comfortability with data, with the ability to analyze campaign performance metrics and provide actionable insights.
- Curious mindset with a propensity to ask a lot of questions and seek opportunities for growth.
- Exceptional communication and interpersonal skills, with the ability to build rapport, influence stakeholders, and navigate complex client relationships.
- Comfortable picking up the phone and engaging in conversations with customers and agencies about digital media.
- Strategic thinker with the ability to develop and execute account plans, identify opportunities, and drive initiatives to achieve business objectives.
- Results-driven and customer-focused, with a passion for delivering exceptional service and value to clients.
- AI-first, data-driven workflow: Comfortable using AI to accelerate analysis, forecasting, and client reporting while validating outputs against source-of-truth campaign and MMP data.
- Bachelor's degree in business, marketing, advertising, or related field.
- You May Also Have
- MBA or advanced degree in business or related field.
- Experience working with enterprise-level clients or agencies, managing complex accounts and large budgets.
- Certifications or training in digital advertising platforms, performance marketing, or related disciplines.
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-LP1
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 and incentive compensation. 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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
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.
About tvScientific
We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).
Join the tvScientific team as a Senior Account Manager (Gaming), where you'll lead strategic client relationships for gaming and app clients, drive revenue growth, and ensure client success on our cutting-edge platform.
As a Senior Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll leverage your expertise in performance marketing and CTV advertising to deliver exceptional value to our clients, exceed revenue targets, and contribute to the overall growth and success of our organization.
To excel in this role, you’ll need expertise in launching, managing, and optimizing campaigns across diverse digital media platforms, especially CTV advertising. Your experience should focus on digital media and advertising, emphasizing performance marketing principles. Proficiency in using Measurement and Attribution Platforms (MMPs) and supporting tools, like Google Analytics and AppsFlyer, is also required.
What you'll do:
- Lead a portfolio of mobile, cross-platform, esports, and real-money gaming clients.
- Launch and optimize programmatic CTV campaigns to hit strict CPA, CPI, and ROAS targets.
- Develop account plans, identify whitespace opportunities, and secure incremental budgets through data-driven QBRs.
- Act as the primary strategic consultant for game publishers, educating them on the power of CTV for player acquisition and retention.
- Dive deep into campaign performance and conversion funnels to extract actionable insights for your clients.
- Work closely with sales, product, and AdOps teams to ensure seamless campaign launches and custom integrations.
- Mentor junior account managers and help build the playbook for our growing gaming business line.
- Harness AI insights to create personalized, data-backed recommendations and reports, helping clients stay ahead of trends and maximize their Pinterest strategies.
- Continually learn and adopt new AI-powered solutions, sharing best practices and innovations with clients and the team to drive better outcomes.
What we're looking for:
- 5+ years in performance marketing or account management, with a strong focus on the gaming industry.
- Deep understanding of the game development lifecycle, user acquisition strategies, and player monetization models.
- Hands-on expertise with Mobile Measurement Partners (MMPs like AppsFlyer, Adjust, Branch) and biddable media platforms.
- Strong ability to analyze metrics (CAC, LTV, churn) to build compelling wrap decks and optimization strategies.
- Exceptional ability to build rapport with studio executives, navigate complex relationships, and confidently present campaign strategies.
- Ability to harness AI insights to deliver tailored recommendations and reporting, helping clients understand trends and seize new opportunities on platforms like Pinterest.
- Openness to adopting new AI tools and staying current with AI trends that can create value for clients and internal teams.
- Business proficiency in Mandarin and English is a must.
- You May Also Have:
- MBA or advanced degree in business or related field.
- Experience working with enterprise-level clients or agencies, managing complex accounts and large budgets.
- Certifications or training in digital advertising platforms, performance marketing, or related disciplines.
Relocation Statement:
- This position is not eligible for relocation assistance.
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.
- As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.
#LI-JC11
#LI-HYBRID
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Software Engineer, Big Data, tvScientific
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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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Built out fault-tolerant batch and streaming pipelines
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- How we'll define success:
- Successful implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What we're looking for:
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Nice-to-Haves
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Data Scientist, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.
What you'll do:
- Write production code in Python.
- Design, launch, and analyze experiments to optimize ad campaigns.
- Create reporting and analytics tools for the Data Science Team's customers.
- Translate insights from reporting tools into tvScientific's Data Science Product.
What we're looking for:
- Ability to write and review production-level code in Python.
- Strong statistics and ML fundamentals.
- Desire to work in a fast-growing environment—comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
- Experience defining and measuring the utility of new reporting and analytics tools.
- Ability to quickly translate between DS Analytics & DS Product team.
- Strong track record of providing high-quality service to the DS team’s customers/stakeholders.
- Adtech or CTV experience.
- Teaching experience is a plus.
- Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- 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 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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#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.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Software Engineer II, Simulation, tvScientific
Share this job
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.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
What you’ll do:
- Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
- Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
- Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
- Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
- Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
What we’re looking for:
- Systems programming experience in Zig or similar (C, C++, Rust)
- Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
- Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
- Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
- Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
- Clear written communication: you'll be defining new technical directions and need to bring others along
- Ownership: you scope, design, and ship systems end-to-end with minimal direction
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
- Nice-to-Haves:
- Strong production Python skills and experience building simulation or modeling systems
- Causal inference — uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
- Experience with discrete event simulation, Monte Carlo methods, or digital twins
- Reinforcement learning — using simulated environments for policy learning and evaluation
- Experience building agentic AI systems or multi-agent simulations
- Big data experience with Scala and Spark
- MLOps experience — model deployment, monitoring, and pipeline orchestration on AWS
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.
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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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.
Our Commitment to Inclusion:
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