Principal Product Manager, Data and Recommendations

Posted 21 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
210K-230K Annually
Senior level
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Social Impact • Software • Analytics
The Creative Data Company
The Role
Lead product strategy and delivery for Vidmob's data, recommendations, and composable platform. Define recommendation logic, APIs, developer tools, and agent capabilities; partner with engineering and data science on models, evaluation, and RL loops; drive integrations and adoption across customers and partners.
Summary Generated by Built In

Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive business results through improved creative effectiveness. As the leader in creative data, Vidmob’s influence lies in its partnerships and integrations across the digital ad ecosystem, its dozens of proprietary models, and in operating the industry’s most robustly instrumented human-reinforcement learning model for creativity. 

Principal Product Manager, Data and Recommendations

The Principal Product Manager will lead Vidmob’s data, recommendations, and composable platform strategy. This role will shape how Vidmob turns creative and performance data into actionable guidance that makes that intelligence available wherever customers and partners need it through applications, APIs, MCP tools, and agents.

This is a technical product role spanning data products, AI-enabled recommendations, developer platforms, and partner integrations. It’s particularly important for candidates to have experience building recommendation systems driven by enterprise data and an array of AI/ML techniques.

We are an AI-first product organization, and every team member is expected to use AI tools directly to accelerate discovery, analysis, prototyping and delivery.

This role is based in our Midtown NYC office with periodic in-office presence averaging about 30% over any given month.

What You’ll Do
  • Own the product vision, roadmap, and delivery for Vidmob’s creative data, recommendation, API, MCP, and agent capabilities.

  • Advance Vidmob’s composable platform strategy: making our data, intelligence, and recommendations available across customer, partner, and AI workflows.

  • Define how Vidmob transforms creative, media, brand, platform, and performance data into ranked, explainable, and actionable recommendations.

  • Build products for both human and machine consumers, including enterprise workflows, structured APIs, developer tools, and agentic systems.

  • Partner closely with engineering and data science on data models, recommendation logic, system architecture, evaluation, and technical tradeoffs across quality, latency, and cost.

  • Establish standards for grounding, confidence, explainability, provenance, actionability, and constraint adherence.

  • Design reinforcement learning loops to power continuous platform improvement.

  • Support integrations with media platforms, creative platforms, agencies, AI providers, and marketing infrastructure.

  • Use AI tools directly across research, requirements, prototyping, analysis, testing, documentation, and product operations.

  • Drive adoption of capabilities with customers and partners, not just delivery.

What You Bring
  • 8+ years of product management experience in B2B SaaS or DaaS, including at least 3 years at a staff or principal level.

  • Proven experience building and productizing AI/ML-powered recommendation systems, including model evaluation, quality measurement, and reinforcement learning.

  • 3+ years experience in ad/martech or a data-heavy vertical.

  • Strong experience with data products or developer platforms.

  • Proven success taking technically complex products from strategy and architecture through delivery, adoption, and iteration.

  • Deep technical and product fluency across APIs, MCP tools, data models, and AI/ML products.

  • Familiarity with generative AI, large language models, agents, retrieval and grounding, evaluation methods, and probabilistic system behavior.

  • Aggressive use of AI tools to accelerate product work and experimental mindset on finding new ways to use AI to improve speed and quality.

  • Hands-on ability to perform lightweight data analysis using SQL, Python, and related tools to investigate product behavior, test hypotheses, and inform decisions.

  • Excellent communicator across functions and levels, from engineers to executives to external partners

  • Customer-first orientation—you translate discovery into action, and can handle feedback with empathy, urgency, and clarity

  • A calm, positive presence even in complexity—able to drive outcomes without drama

Compensation
  • $210-$230k + Offers Equity

Please be aware that Vidmob will only contact candidates through emails ending in @vidmob.com. We will never ask for personal information, such as your Social Security number, bank account number, or password, through email. If you receive an email claiming to be from Vidmob that does not come from a @vidmob.com email address, or if the email asks for personal information, please do not respond and report the email to us at [email protected]

Skills Required

  • 8+ years of product management experience in B2B SaaS or DaaS, including at least 3 years at a staff or principal level.
  • Proven experience building and productizing AI/ML-powered recommendation systems, including model evaluation, quality measurement, and reinforcement learning.
  • 3+ years experience in ad/martech or a data-heavy vertical.
  • Strong experience with data products or developer platforms.
  • Proven success taking technically complex products from strategy and architecture through delivery, adoption, and iteration.
  • Deep technical and product fluency across APIs, MCP tools, data models, and AI/ML products.
  • Familiarity with generative AI, large language models, agents, retrieval and grounding, evaluation methods, and probabilistic system behavior.
  • Aggressive use of AI tools to accelerate product work and an experimental mindset.
  • Hands-on ability to perform lightweight data analysis using SQL, Python, and related tools.
  • Excellent communicator across functions and levels (engineers to executives and external partners).
  • Customer-first orientation; able to translate discovery into action and handle feedback with empathy and urgency.
  • Calm, positive presence able to drive outcomes in complexity.

Vidmob Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vidmob and has not been reviewed or approved by Vidmob.

  • Affordable Benefits Affordable plan options are positioned as a standout, including medical, dental, and vision choices described as “completely on the house” for employees. This makes the benefits package feel strong even when cash compensation is viewed as mid-pack.
  • Parental & Family Support Parental leave is described as substantial, with up to 16 weeks of paid leave for new parents. This is repeatedly highlighted as a meaningful component of the overall rewards package.
  • Leave & Time Off Breadth Leave policy breadth is emphasized through an unlimited PTO offering. The practical value is framed as dependent on team norms and workload, but the stated policy itself is expansive.

Vidmob Insights

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The Company
HQ: New York, New York
67 Employees
Year Founded: 2014

What We Do

Vidmob is THE CREATIVE DATA COMPANY "TM". Vidmob harnesses creative data for marketers to make smarter creative and media decisions. Every impression is a learning opportunity. You just need the right tech!

Why Work With Us

Vidmob is not your typical startup! We acknowledge that the industry has gone through a lot and we navigate it all through it's SaaS, DaaS or Generative AI. We are not afraid to experiment and we do it all while working with some of the kindest people. Being in a category creating world isn't easy but we love a challenge!

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