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Information Technology 🏢 Full Time ⭐️ Verified

Principal Product Manager, AI & Machine Learning

CognitiveScale Tech
San Francisco
Salary Estimate
USD 195.000 – USD 255.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you obsessed with building generative AI products that users love? CognitiveScale Tech is seeking a visionary Principal Product Manager to lead the next generation of our enterprise AI platform. In this high-impact role, you will sit at the intersection of cutting-edge machine learning research, user-centric design, and scalable system architecture.

As a Principal PM, you will drive the product lifecycle from initial spark to global scale. You will partner with world-class engineers, data scientists, and UX designers to solve complex problems and deliver measurable business outcomes. If you are a strategic thinker who is equally comfortable writing technical PRDs and presenting to Fortune 500 executives, we want to hear from you.

Responsibilities

  • Define and execute the multi-year vision, strategy, and product roadmap for our core enterprise AI platform.
  • Conduct deep qualitative customer discovery and quantitative market research to identify high-value customer pain points.
  • Collaborate closely with Engineering, Data Science, and Design to scope, build, and ship robust, developer-friendly APIs and LLM integrations.
  • Establish, track, and optimize key product metrics (e.g., North Star metrics, activation rates, customer lifetime value).
  • Lead cross-functional launch efforts with Marketing, Sales, and Customer Success to ensure seamless market adoption and enablement.
  • Act as an internal champion and external evangelist for the AI product portfolio, translating complex technical capabilities into compelling value propositions.

Qualifications

  • 8+ years of product management experience, with at least 3 years dedicated to shipping SaaS, cloud, or enterprise AI/ML platform products.
  • Proven track record of successfully launching developer APIs, developer tools, or large language model (LLM) powered features.
  • Strong technical literacy with a deep conceptual understanding of machine learning frameworks, neural networks, and vector databases.
  • Exceptional analytical skills, with a demonstrated ability to leverage SQL, Amplitude, or similar tools to drive product hypotheses and decisions.
  • Outstanding verbal and written communication skills, with experience presenting technical concepts directly to enterprise C-suite executives.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a highly quantitative equivalent field.

Required Skills

Product Strategy Artificial Intelligence Machine Learning Enterprise SaaS LLMs Product Lifecycle Management API Development Agile Methodologies Cross-Functional Leadership

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