AI Product Manager

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

The Opportunity

Our client is a high-growth AI startup that transforms the way world-class brands like DoorDash Stripe and Lululemon understand their customers. By analyzing millions of data points across support tickets reviews and social media their platform generates automated actionable insights that drive multi-million dollar product decisions.

As the first Product Manager on the team you will step into a high-impact role previously held by a co-founder. You wont just be managing a roadmap; you will be the architect of the core products future sitting at the intersection of complex data systems LLMs and enterprise customer needs.

What Youll Do

Product Ownership: Define the 612 month strategy for the core insights platform identifying critical areas for evolution and improvement.
Technical Strategy: Design and execute the roadmap for new AI features leveraging LLMs to build proofs-of-concept and iterate on early product experiences.
Quality Benchmarking: Build datasets labeling frameworks and quantitative metrics to measure AI performance ensuring model outputs remain world-class.
Customer Engagement: Work directly with senior stakeholders at enterprise companies to deeply understand their workflows and ensure our insights drive real business outcomes.
Zero-to-One Delivery: Partner closely with engineering to translate ambiguous problems into concrete technical plans taking features from initial ideation to production.
Market Expansion: Identify and validate opportunities to expand the platform into adjacent areas like sales support and operational insights.

What Were Looking For

4 Years of Product Management Experience: Proven track record in a fast-paced environment preferably within B2B SaaS or AI-driven products.
Deeply Technical: You are comfortable in the weeds with LLMs NLP and data clustering. You can hold your own in technical discussions with engineers and understand the nuances of AI quality evaluation.
Customer-Centric: You enjoy being customer-facing and have the ability to extract deep pain points from enterprise users to inform product direction.
Entrepreneurial Mindset: You are a 0 to 1 builder who thrives in ambiguity and is excited about taking full ownership of a core product function.

The Opportunity Our client is a high-growth AI startup that transforms the way world-class brands like DoorDash Stripe and Lululemon understand their customers. By analyzing millions of data points across support tickets reviews and social media their platform generates automated actionable insights...

The Opportunity

What Youll Do

Product Ownership: Define the 612 month strategy for the core insights platform identifying critical areas for evolution and improvement.
Technical Strategy: Design and execute the roadmap for new AI features leveraging LLMs to build proofs-of-concept and iterate on early product experiences.
Quality Benchmarking: Build datasets labeling frameworks and quantitative metrics to measure AI performance ensuring model outputs remain world-class.
Customer Engagement: Work directly with senior stakeholders at enterprise companies to deeply understand their workflows and ensure our insights drive real business outcomes.
Zero-to-One Delivery: Partner closely with engineering to translate ambiguous problems into concrete technical plans taking features from initial ideation to production.
Market Expansion: Identify and validate opportunities to expand the platform into adjacent areas like sales support and operational insights.

What Were Looking For

4 Years of Product Management Experience: Proven track record in a fast-paced environment preferably within B2B SaaS or AI-driven products.
Deeply Technical: You are comfortable in the weeds with LLMs NLP and data clustering. You can hold your own in technical discussions with engineers and understand the nuances of AI quality evaluation.
Customer-Centric: You enjoy being customer-facing and have the ability to extract deep pain points from enterprise users to inform product direction.
Entrepreneurial Mindset: You are a 0 to 1 builder who thrives in ambiguity and is excited about taking full ownership of a core product function.