Principal Product Manager, Data and Recommendations

Vidmob-; New York (NY); Hybrid; USD 210,000 - 240,000; Full time

Benefits offered by this job

Equity

Job summary

Vidmob, the creative data company, seeks a Principal Product Manager to lead data, recommendations, and a composable platform. You’ll turn creative and performance data into actionable guidance via APIs, MCP tools and agents, applying AI/ML techniques in an AI-first environment.

Based in Midtown NYC with ~30% in-office time, you’ll partner with engineering and data science to scale data products and platform strategies while championing explainability and actionability.

Qualifications

• 8+ years in product management for B2B SaaS or DaaS, including staff level.
• Experience building AI/ML driven recommendation systems and evaluation.
• 3+ years in ad/Martech or data-heavy vertical.
• Strong background in data products or developer platforms.
• Track record taking complex products from strategy to adoption.
• Fluent APIs, MCP tools, data models, and AI/ML products.
• Familiar with generative AI, LLMs, agents, retrieval and grounding.
• Proactive use of AI tools to accelerate work.

Responsibilities

• Own product vision, roadmap and delivery for data, recommendations, and platform.
• Advance composable platform strategy across customer, partner, and AI workflows.
• Transform data into ranked, explainable recommendations.
• Build enterprise workflows, APIs, developer tools and agentic systems.
• Collaborate with engineering and data science on models, architecture and tradeoffs.
• Set standards for grounding, explainability, provenance and actionability.
• Design reinforcement learning loops for platform improvement.
• Partner with media and marketing platforms and AI providers.
• Use AI tools across research, prototyping, analysis and operations.
• Drive adoption and impact with customers and partners.

Skills

Product management experience

AI/ML powered recommendations

Ad/Martech exposure

APIs/MCP tools

Data models

SQL

Python

Communication across teams

Tools

SQL

Python

APIs

Job description

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-$240k + Offers Equity