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Job Description
A senior leadership role responsible for defining and executing the AI product strategy at Amperity, focusing on integrating advanced AI and machine learning capabilities into customer data platforms to drive personalized customer experiences and enterprise growth.
Key Responsibilities
- Define and develop 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
- Collaborate with engineering and GTM teams to deliver scalable AI products
- 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 to ensure efficient and consistent delivery of AI initiatives
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 ML 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
Cash incentives
Stock options / equity grants
Hybrid work model with three days in the office each week
100% employee healthcare coverage
Transportation subsidies
Self-managed paid time off (PTO)
Flexible work arrangements
Inclusive work environment with team events and activities, both in-person and remote
Ready to Apply?
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