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production Python skills: you write code that runs in prod, not just notebooks</li>\n<li>Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones</li>\n<li>Familiarity with modern AI tools and good judgment about where they add value</li>\n<li>Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization</li>\n<li>Clear written communication: we&#39;re a distributed team and writing is how decisions get made</li>\n<li>Comfort with ambiguity: you&#39;ll own problems end-to-end in a fast-moving environment, from scoping to shipping</li>\n<li>Bachelor&#39;s degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience</li>\n<li>4+ years of industry experience</li>\n</ul>\n<p>Nice-to-Haves:</p>\n<ul>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and 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As a key member of our Data Science team, you will be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion.</p>\n<p>Your day-to-day role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. You will write production code in Python, design, launch, and analyze experiments to optimize ad campaigns, create reporting and analytics tools for the Data Science Team&#39;s customers, and translate insights from reporting tools into tvScientific&#39;s Data Science Product.</p>\n<p>We are looking for someone with strong statistics and machine learning fundamentals, experience with Python, and a desire to work in a fast-growing environment. You should be comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Write production code in Python</li>\n<li>Design, launch, and analyze experiments to optimize ad campaigns</li>\n<li>Create reporting and analytics tools for the Data Science Team&#39;s customers</li>\n<li>Translate insights from reporting tools into tvScientific&#39;s Data Science Product</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Ability to write and review production-level code in Python</li>\n<li>Strong statistics and ML fundamentals</li>\n<li>Desire to work in a fast-growing environment</li>\n<li>Experience defining and measuring the utility of new reporting and analytics tools</li>\n<li>Ability to quickly translate between DS Analytics &amp; DS Product team</li>\n<li>Strong track record of providing high-quality service to the DS team&#39;s customers/stakeholders</li>\n<li>Adtech or CTV experience</li>\n<li>Teaching experience is a plus</li>\n<li>Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus</li>\n<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow</li>\n<li>Strong track record of critical evaluation and verification of AI-assisted work</li>\n<li>High integrity and ownership</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Salary range: $139,764 - $287,749 USD</li>\n</ul>","enriched_at":1781789509572},{"id":"job_a0892b31-266","title":"Sr. Data Engineer, tvScientific","source_url":"https://job-boards.greenhouse.io/pinterest/jobs/7642272","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>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.</p>\n<p>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.</p>\n<p>This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Implement robust data infrastructure in AWS, using Spark with Scala</li>\n<li>Evolve our core data pipelines to efficiently scale for our massive growth</li>\n<li>Store data in optimal engines and formats</li>\n<li>Collaborate with our cross-functional teams to design data solutions that meet business needs</li>\n<li>Build out fault-tolerant batch and streaming pipelines</li>\n<li>Leverage and optimize AWS resources while designing for scale</li>\n<li>Collaborate closely with our Data Science and Product teams</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Production data engineering experience</li>\n<li>Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala</li>\n<li>Familiarity with data lakes, cloud warehouses, and storage formats</li>\n<li>Strong proficiency in AWS services</li>\n<li>Expertise in SQL for data manipulation and extraction</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Bachelor&#39;s degree in Computer Science or a related field</li>\n<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>\n<li>Strong track record of critical evaluation and verification of AI-assisted work</li>\n<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>\n</ul>\n<p>Nice-to-Haves:</p>\n<ul>\n<li>Experience in adtech</li>\n<li>Experience implementing data governance practices</li>\n<li>Strong understanding of privacy-by-design principles and handling of sensitive or regulated data</li>\n<li>Familiarity with data table formats like Apache Iceberg, Delta</li>\n</ul>","enriched_at":1781789473181},{"id":"job_74408567-d7a","title":"Software Engineer II, Big Data, tvScientific","source_url":"https://job-boards.greenhouse.io/pinterest/jobs/7782546","location":"San Francisco, CA, US; Remote, US","job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Engineering","description":"<p>We&#39;re looking for a Data Engineer to join our team at tvScientific._RAW</p>\n<p>As a 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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement robust data infrastructure in AWS, using Spark with Scala</li>\n<li>Evolve our core data pipelines to efficiently scale for our massive growth</li>\n<li>Store data in optimal engines and formats, matching your designs to our performance needs and cost factors</li>\n<li>Collaborate with our cross-functional teams to design data solutions that meet business needs</li>\n<li>Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs</li>\n<li>Leverage and optimize AWS resources while designing for scale</li>\n<li>Collaborate closely with our Data Science and Product teams</li>\n</ul>\n<p>How we&#39;ll define success:</p>\n<ul>\n<li>Successful design and implementation of scalable and efficient data infrastructure</li>\n<li>Timely delivery and optimization of data assets and APIs</li>\n<li>High attention to detail in implementation of automated data quality checks</li>\n<li>Effective collaboration with cross-functional teams</li>\n</ul>\n<p>What we&#39;re looking for:</p>\n<ul>\n<li>Production data engineering experience</li>\n<li>Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred</li>\n<li>Experience in delivering significant technical initiatives and building reliable, large scale services</li>\n<li>Experience in delivering APIs backed by relationship-heavy datasets</li>\n<li>Familiarity with data lakes, cloud warehouses, and storage formats</li>\n<li>Strong proficiency in AWS services</li>\n<li>Expertise in SQL for data manipulation and extraction</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Bachelor&#39;s degree in Computer Science or a related field</li>\n<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>\n<li>Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)</li>\n<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>\n</ul>\n<p>Nice-to-haves:</p>\n<ul>\n<li>Experience in adtech</li>\n<li>Experience implementing data governance practices, including data quality, metadata management, and access controls</li>\n<li>Strong understanding of privacy-by-design principles and handling of sensitive or regulated data</li>\n<li>Familiarity with data table formats like Apache Iceberg, Delta</li>\n<li>Previous experience building out a Data Engineering function</li>\n<li>Proven experience working closely with Data Science teams on machine learning pipelines</li>\n</ul>\n<p>In-Office Requirement Statement:</p>\n<ul>\n<li>We recognize that the ideal environment for work is situational and may differ across departments.</li>\n</ul>\n<p>Relocation Statement:</p>\n<ul>\n<li>This position is not eligible for relocation assistance.</li>\n</ul>\n<p>At tvScientific, 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.</p>\n<p>US based applicants only</p>\n<p>$123,696-$254,667 USD</p>\n<p>Our Commitment to Inclusion:</p>\n<p>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</p>","enriched_at":1780024033803},{"id":"job_1944a239-03f","title":"Group Product Manager II, Creative Tech - tvScientific","source_url":"https://job-boards.greenhouse.io/pinterest/jobs/7890195","location":"San Francisco, CA, US; Remote, US","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>At tvScientific, we&#39;re looking for a Group Product Manager II to lead product development for our CTV creative tooling. As a key member of our Creative Tech team, you&#39;ll be responsible for making creative the next pillar of optimization at tvSci, alongside bidding, targeting, measurement, and identity.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead product vision, strategy, and execution for tvSci&#39;s CTV creative tooling, from asset ingestion through generation, variant production, and creative-aware optimization</li>\n<li>Develop new tools that turn existing brand assets into TV-ready commercials, and generate creative variants and new concepts from those assets</li>\n<li>Expand tvSci&#39;s prediction and optimization models to incorporate creative as a core performance lever</li>\n<li>Partner with commercial teams and operations to make creative optimization a primary driver of customer performance, and ensure it&#39;s well understood and adopted by advertisers and internal teams</li>\n<li>Use AI to accelerate prototyping, explore creative concepts, and synthesize customer feedback, while applying judgment and verification to ensure correctness and quality</li>\n<li>Represent tvSci externally as a thought leader at the frontier of AI-driven creative technology</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of product management experience, with expertise in creative technology, dynamic creative optimization, or generative AI for video and image</li>\n<li>Experience working with optimization and ML systems, and a clear point of view on how creative signal should be incorporated alongside bidding and targeting</li>\n<li>AI-forward and experimental, comfortable building with generative AI as a core primitive rather than a feature</li>\n<li>Demonstrated track record shipping creative technology products or optimizing ads at scale, with concrete examples of impact</li>\n<li>Excellent communication and stakeholder alignment skills, with comfort presenting to senior executives, customers, and industry audiences</li>\n<li>Demonstrated experience using AI to accelerate product development and customer analysis, with a clear approach to validating accuracy and quality</li>\n<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>\n<li>Bachelor&#39;s degree in a relevant field such as computer science, engineering, or a related discipline, or equivalent experience</li>\n</ul>\n<p>Relocation Statement: This position is not eligible for relocation assistance.</p>\n<p>In-Office Requirement Statement: 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.</p>\n<p>Benefits:</p>\n<ul>\n<li>Base salary range: $195,738 - $402,990 USD</li>\n<li>Eligible for equity</li>\n<li>Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise</li>\n<li>Information regarding the culture at tvScientific and benefits available for this position can be found here.</li>\n</ul>","enriched_at":1778875662485}],"category_normalised":[{"category":"engineering","count":11}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":1},{"week_start":"2026-05-11","count":1},{"week_start":"2026-05-25","count":1},{"week_start":"2026-06-15","count":4},{"week_start":"2026-06-22","count":1},{"week_start":"2026-06-29","count":1},{"week_start":"2026-07-20","count":1},{"week_start":"2026-07-27","count":1}],"trend":"decelerating","wow_pct":0},"momentum":{"recent_14d":2,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":213756.5,"industry_median":null,"percentile":null,"sample_size":9,"by_region":[{"region":"United States","company_median":213756.5,"industry_median":null,"sample":9}],"transparency_pct":82,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":11,"industry_total":11,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.311,"skill_weighted_score":0.311,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Apache Spark","count":4,"score":0.331},{"skill":"Scala","count":4,"score":0.331},{"skill":"Python","count":5,"score":0.323},{"skill":"AWS","count":4,"score":0.288},{"skill":"Data Engineering","count":3,"score":0.288},{"skill":"Distributed Systems","count":3,"score":0.288}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":10,"share_pct":90.9},{"region":"Canada","count":1,"share_pct":9.1}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":1,"prior_30d":6,"growth_pct":-83}]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":61,"industry_median_days_open":null,"long_open_count":3,"closure_rate_pct":27}}}}