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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 across the company
- Drive 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
- Lead the integration of 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 scalable AI products
- Influence executive stakeholders and represent AI strategy externally through thought leadership
- Build and develop a team of Product Managers, Designers, and AI contributors
- Shape operational mechanisms for efficient and consistent delivery of AI products
- Identify and nurture external research, enterprise, and ecosystem partnerships 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, LLMs and 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 environment supporting diversity and potential development
Ready to Apply?
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