Lead product vision and execution for CTV creative tooling: asset ingestion, generation, variant production, and creative-aware optimization. Build AI-driven tools to convert brand assets into TV-ready commercials, integrate creative signals into prediction/optimization models, partner with commercial teams for adoption, and represent the company externally.
tvScientific is building the infrastructure that powers CTV advertising at scale, now backed by Pinterest's intent data and advertiser base. The Creative Tech team is responsible for making creative the next pillar of optimization at tvSci, alongside bidding, targeting, measurement and identity. You'll lead product development for the systems that turn brand assets into TV-ready commercials, generate variants and new concepts at scale, and feed creative signal into tvSci's prediction and optimization models.
What you'll do:
- Lead product vision, strategy and execution for tvSci's CTV creative tooling, from asset ingestion through generation, variant production and creative-aware optimization
- Develop new tools that turn existing brand assets into TV-ready commercials, and generate creative variants and new concepts from those assets
- Expand tvSci's prediction and optimization models to incorporate creative as a core performance lever
- Partner with commercial teams and operations to make creative optimization a primary driver of customer performance, and ensure it's well understood and adopted by advertisers and internal teams
- Use AI to accelerate prototyping, explore creative concepts and synthesize customer feedback, while applying judgment and verification to ensure correctness and quality
- Represent tvSci externally as a thought leader at the frontier of AI-driven creative technology
What we're looking for:
- 8+ years of product management experience, with expertise in creative technology, dynamic creative optimization or generative AI for video and image
- Experience working with optimization and ML systems, and a clear point of view on how creative signal should be incorporated alongside bidding and targeting
- AI-forward and experimental, comfortable building with generative AI as a core primitive rather than a feature
- Demonstrated track record shipping creative technology products or optimizing ads at scale, with concrete examples of impact
- Excellent communication and stakeholder alignment skills, with comfort presenting to senior executives, customers and industry audiences
- Demonstrated experience using AI to accelerate product development and customer analysis, with a clear approach to validating accuracy and quality
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables
- Bachelor's degree in a relevant field such as computer science, engineering or a related discipline, or equivalent experience
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times/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.
US based applicants only
$195,738—$402,990 USD
Similar Jobs
Social Media
Lead product vision and execution for tvSci's CTV creative tooling across asset ingestion, generation, variant production, and creative-aware optimization. Build tools to turn brand assets into TV commercials, integrate creative signal into prediction models, partner with commercial teams for adoption, use generative AI for prototyping, and represent tvSci externally on AI-driven creative technology.
Top Skills:
Connected Tv (Ctv)Creative Asset AutomationDynamic Creative Optimization (Dco)Generative AiMachine LearningPrediction And Optimization Models
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead end-to-end ML systems for identity verification, including document authenticity, face match, liveness and deepfake detection. Build GNN-based identity graphs, behavioral/device-intelligence models, vendor benchmarking/evaluation, and production enforcement. Mentor engineers and align ML architecture with Product, Compliance, Risk, and Security stakeholders.
Top Skills:
Computer Vision/BiometricsGenerative AiGraph Neural Networks (Gnns)LlmsModel Serving InfrastructureNlpPythonPyTorchSequence ModelsTensorFlow
Fintech • Software
Manage day-to-day personalized direct index portfolios including construction, rebalances, tax transitioning and tax-loss harvesting, ESG customizations, and monitoring corporate actions. Provide portfolio analysis, reporting, and ad-hoc analysis; collaborate with trading, client service, and operations to improve processes, tools, and investment outcomes while supporting product and asset class expansion.
Top Skills:
Direct IndexingEquity Risk ModelsEsgPortfolio OptimizersSustainability InvestingTax Loss Harvesting
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
