tvScientific

• 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.

• 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. • Use AI to accelerate optimization: Use AI tools to quickly spot funnel drop-offs, pacing issues, and creative fatigue, then translate those insights into clear actions to improve CPA, CPI, and ROAS on CTV campaigns.

• 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

• 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.

• 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

• 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

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 Backend Engineer with expertise in Python, you will collaborate with a small team of remote engineers to enhance our flagship customer-facing product. You should possess a deep understanding of fundamental engineering principles and have practical experience in web development, automated testing, version control, continuous deployment, infrastructure management, and agile planning. This role is ideal for someone who’s ready to go beyond shipping features, who acts as a force multiplier for the team by helping to shape architecture, elevate technical quality, and support the Engineering Manager in mentorship and planning. You won’t be responsible for direct people management, but you’ll be a go-to partner in helping the team grow, unblock, and thrive. What you'll do: - Own and deliver key product features from design through deployment, working closely with design, product, and other stakeholders. - Mentor and support engineers, offering guidance and helping to reinforce high engineering standards across the team. - Collaborate closely with design, product, and cross-functional stakeholders to deliver a user-friendly and engaging product for our customers. - Ship high-performing and resilient APIs that adhere to industry standards and are delightful to use. - Step into a technical lead role on projects as needed, coordinating across functions and guiding execution without formal authority. - Maintain a high standard of quality across our codebase by advocating for cleanliness, readability, speed, testability, and documentation. - Champion software quality, emphasizing readability, reliability, testability, and documentation. What we're looking for: - Experience working with Python backends (ideally Django). - Exceptional remote communication skills. Especially in writing. - The ability to work autonomously in a startup environment; you thrive under pressure and are comfortable adapting to rapidly evolving plans. - Proven production experience working with a relational database (we use MySQL). Bonus points for experience working with other types of datastores or backing services. - A rigorous approach to software quality. You like to write tests. - A knack for learning new technologies, strong problem-solving skills, and an openness to creative solutions. - A genuine passion for crafting reliable web applications. You get it right the first time. - Computer Science degree or equivalent. - Nice-to-Haves: - Adtech Experience. - Specific Domain Experience in CTV. - Familiarity with AWS services, experience working in a microservice architecture or with containerization technologies. - Previous involvement in a production environment with a customer-facing reporting and analytics system. - Experience working with other types of datastores or backing services, like Redis. 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. US based applicants only $123,696—$254,667 USD

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: - Identity Services: - 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 - Data Governance & Trust - 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: - Data engineering experience with proven track record building data infrastructure using Spark with Scala - Proven experience building data infrastructure using Spark with Scala for at least 5 years - 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 - 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 - Excellent written and verbal communication skills - Bachelor's degree in Computer Science or a related field 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. US based applicants only $155,584—$320,320 USD

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 Staff 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: - Design and 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, matching your designs to our performance needs and cost factors - Collaborate with our cross-functional teams to design data solutions that meet business needs - Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs - Leverage and optimize AWS resources while designing for scale - Collaborate closely with our Data Science and Product teams - How we'll define success: - Successful design and 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 - Experience in delivering significant technical initiatives and building reliable, large scale services - Experience in delivering APIs backed by relationship-heavy datasets - 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 - 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 - Previous experience building out a Data Engineering function - Proven experience working closely with Data Science teams on machine learning pipelines 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. US based applicants only $155,584—$320,320 USD

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. 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. US based applicants only $139,764—$287,749 USD