
Principal Product Manager (Data and Recommendations)
VidMob
Job description
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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
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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
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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
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Own the product vision, roadmap, and delivery for Vidmob’s creative data, recommendation, API, MCP, and agent capabilities
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Advance Vidmob’s composable platform strategy: making our data, intelligence, and recommendations available across customer, partner, and AI workflows
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Define how Vidmob transforms creative, media, brand, platform, and performance data into ranked, explainable, and actionable recommendations
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Build products for both human and machine consumers, including enterprise workflows, structured APIs, developer tools, and agentic systems
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Partner closely with engineering and data science on data models, recommendation logic, system architecture, evaluation, and technical tradeoffs across quality, latency, and cost
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Establish standards for grounding, confidence, explainability, provenance, actionability, and constraint adherence
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Design reinforcement learning loops to power continuous platform improvement
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Support integrations with media platforms, creative platforms, agencies, AI providers, and marketing infrastructure
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Use AI tools directly across research, requirements, prototyping, analysis, testing, documentation, and product operations
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Drive adoption of capabilities with customers and partners, not just delivery- 8+ years of product management experience in B2B SaaS or DaaS, including at least 3 years at a staff or principal level
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Customer-first orientation—you translate discovery into action, and can handle feedback with empathy, urgency, and clarity
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Aggressive use of AI tools to accelerate product work and experimental mindset on finding new ways to use AI to improve speed and quality
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Excellent communicator across functions and levels, from engineers to executives to external partners
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Deep technical and product fluency across APIs, MCP tools, data models, and AI/ML products
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3+ years experience in ad/martech or a data-heavy vertical
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Familiarity with generative AI, large language models, agents, retrieval and grounding, evaluation methods, and probabilistic system behavior
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Strong experience with data products or developer platforms
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Hands-on ability to perform lightweight data analysis using SQL, Python, and related tools to investigate product behavior, test hypotheses, and inform decisions
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Proven success taking technically complex products from strategy and architecture through delivery, adoption, and iteration
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Proven experience building and productizing AI/ML-powered recommendation systems, including model evaluation, quality measurement, and reinforcement learning
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A calm, positive presence even in complexity—able to drive outcomes without drama