Define and execute the AI/ML product & platform roadmap, establishing technical requirements for model development, training pipelines, and AI reasoning capabilities.
Understand the AI/ML needs of internal product teams building vertical agents, ensuring the platform provides the right abstractions, performance, and reliability. Partner closely with data scientists and ML engineers to translate business requirements into scalable AI solutions.
Lead the development of cutting-edge AI capabilities, including: Generative AI technologies, large language models (LLMs), Multi-agent systems, agent observability, Multi-LLM serving and AI gateway infrastructure, MLOps automation for training, serving, and orchestration, AI reasoning engines for complex agentic workflows, ML model garden with models like propensity to buy, wallet size, and churn prediction, AI analytics, sentiment analysis, and conversational intelligence.
Collaborate with vertical product teams to enable them to leverage AI/ML platform capabilities effectively. Train and evangelize best practices for AI/ML implementation across the organization.
Deliver measurable improvements in AI response quality, model performance, and platform reliability. Communicate progress transparently to leadership and stakeholders.
Requirements
7+ years in product management at a fast-paced technology company, with 3+ years focused on AI/ML products
Deep understanding of NLP, LLMs, and AI platform architecture
Experience with enterprise AI platforms, model deployment, and MLOps workflows
Proficiency with SQL and ability to extract, analyze, and interpret data independently
Strong technical background with experience in AI/ML model lifecycle management
Proven track record of building horizontal platform products that enable other teams
Experience working with data science and ML engineering teams
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Benefits
competitive pay
generous time off
ample parental and wellness leave
healthcare
a retirement savings program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML product managementGenerative AI technologieslarge language models (LLMs)Multi-agent systemsMLOps automationAI reasoning enginesNLPSQLAI analyticssentiment analysis
Soft skills
collaborationcommunicationleadershiptrainingevangelizing best practicestranslating business requirementsstakeholder managementproblem-solvingorganizational skillsperformance improvement