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Job Description
The role involves leading the development and execution of Amperity’s AI product strategy, integrating advanced AI and machine learning capabilities into customer data platforms, and guiding cross-functional teams to deliver innovative, responsible AI-driven solutions that enhance customer experiences and business outcomes.
Key Responsibilities
- Define and articulate the multi-year AI product strategy to differentiate the platform
- Establish and promote AI principles, responsible AI criteria, and product philosophy
- Lead long-term planning, portfolio prioritization, and investment decisions for AI and ML products
- Own the product lifecycle for AI-powered capabilities from ideation to continuous improvement
- Integrate LLMs, predictive models, personalization engines, and automation into core workflows
- Translate complex ML capabilities into accessible user experiences to drive adoption
- Ensure AI features balance performance, explainability, safety, and reliability
- Partner with Engineering and GTM teams to deliver AI products at scale
- Influence stakeholders and represent AI strategy externally through talks, publications, and partnerships
- Lead and develop a team of Product Managers, Designers, and AI contributors
- Shape operational mechanisms for efficient and consistent delivery of AI initiatives
- Build and nurture relationships with research, enterprise, and ecosystem partners to expand AI capabilities
Requirements
- 15 years of experience in product management, AI ML platforms, data platforms, or enterprise SaaS with deep experience leading AI-centric product lines.
- Proven track record driving product strategy for large, data-intensive, or AI-driven products with enterprise customers.
- Experience leading and scaling multi-disciplinary teams, including Product Managers, Designers, and technical contributors.
- Strong technical fluency with Machine Learning concepts able to partner deeply with engineering teams on topics such as entity resolution, probabilistic modeling, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, predictive modeling, and personalization, as well as data governance, model evaluation, and responsible AI.
- Demonstrated ability to define and achieve measurable business outcomes, with experience in revenue-linked KPIs.
- Significant experience operating cross-functionally in complex organizations and influencing executive stakeholders.
- Experience working in MarTech, AdTech, or customer data platforms.
- Prior experience scaling AI features within cloud or data-intensive environments such as AWS, Databricks, Snowflake, GCP, or Azure.
- Advanced degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
Benefits & Perks
Base salary range of $200,000 to $280,000, depending on skills, experience, and education
Cash incentives
Stock options with equity grants
100% employee healthcare coverage
Transportation subsidies
A comfortable work environment with snacks
Employee experience perks such as events and activities (both in-person and remote)
Self-managed paid time off (PTO)
Flexible work arrangements
Inclusive work environment that encourages personal growth and potential
Ready to Apply?
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