Technical Product Manager

Our Client, a Consumer Products and Software Services company, is looking for a Technical Product Manager for their Cupertino, CA/ Austin, TX/ Hybrid location.


Responsibilities:

• Drive product and technical vision - Support Expert's roadmap from AI/ML investments to user facing features.
• Define the product strategy, not just the feature backlog. Create PRDs, translate into
• Epics, stories, and tasks, while participating in all agile ceremonies to execute.
• Lead AI/ML feature strategy - Translate business problems into well-defined AI/ML opportunities.
• Define success criteria, data requirements, and evaluation frameworks.
• Partner closely with ML engineers and data scientists to guide features from concept to production.
• Simplify the complex - Distill intricate technical and strategic concepts into clear, persuasive
• language for diverse audiences - translating trade-offs up to leadership and business context down
• to engineering teams.
• Advocate for the user - Lead discovery with Channel Sales teams through qualitative research, usability testing, and quantitative usage analysis. Ground every investment in demonstrated user need and bring that evidence into technical discussions.
• Keep business tied to all decisions - Define product KPIs and leverage data to drive independent analysis and informed prioritization. Design the instrumentation layer that enables experimentation and outcome measurement.
• Build trust through depth - Engage in technical discussions and write specifications at a level that earns genuine credibility with engineering and data science partners.

• Strong technical background with hands-on experience in AI/ML product development, data intensive platforms, or software engineering.
• 5+ years of product management experience, including 3+ years on AI/ML products or data-intensive platforms shipped at scale.
• Hands-on experience shipping production AI/ML features - including defining success criteria, supporting deployment, and measuring outcomes.
• Demonstrated experience with LLM-powered products: built or shipped at least one feature leveraging LLMs, RAG, or generative AI in a production context.
• Data fluency; comfortable working directly with data to explore, analyze, and support independent decision-making.
• Experience writing clear, detailed product and technical specifications that engineering teams can build from directly.
• Demonstrated ability to engage meaningfully in technical planning and design discussions, and to evaluate engineering trade-offs.
• Track record of owning both product outcomes and AI/ML performance metrics simultaneously.
• Strong written and verbal communication skills with the ability to flex between highly technical and executive audiences.
• Preferred Qualifications
• MS or PhD in Computer Science, Machine Learning, Data Science, NLP, or related technical field.
• Familiarity with agentic AI concepts and emerging AI system design patterns.
• Background in enterprise sales analytics, revenue intelligence, or channel partner ecosystems.
• Familiarity with vector databases and semantic search systems.
• Experience defining or working with LLM evaluation approaches and quality measurement.
• Familiarity with data pipeline orchestration, streaming architectures, and real-time feature serving.
• Data-driven decision maker - Comfortable working directly with data to surface insights, validate hypotheses, and make informed product decisions independently.
• Healthy skeptic of AI - Has strong intuitions about when ML is - and isn't - the right solution; pushes back on AI-for-its-own-sake and holds GenAI work to rigorous success criteria.
• Systems thinker - Considers how decisions ripple across system performance, reliability, and scale.
• Calm under pressure - Brings clarity and steadiness in fast-moving situations.
• Strong communicator - Explains technical ideas clearly and credibly to both engineering teams and senior leadership.
• Education
• BS/MS in Computer Science, Software Engineering, Data Science, Machine Learning, or a related technical discipline - or equivalent experience.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities