5 days ago

Staff Product Manager, Knowledge

Pinecone

On Site
Full Time
$237,500
New York, NY

Job Overview

Job TitleStaff Product Manager, Knowledge
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$237,500
LocationNew York, NY

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Job Description

About Pinecone

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Our mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and has raised significant funding from prominent venture capital firms.

About The Role/Team

We are seeking an experienced product leader to drive adoption of our vector database by developing industry-leading retrieval capabilities. As a Staff Product Manager, Knowledge, you will architect next-generation retrieval and relevance solutions using Pinecone’s vector database. These solutions will provide significant quality improvements for high-scale customers building AI search, agents, and RAG workflows. This role is perfect for a proactive, technically adept PM who can bridge forward-looking ML research with present customer needs.

Responsibilities

  • Define the strategic priorities and roadmap for advanced retrieval capabilities built on top of Pinecone’s vector database.
  • Communicate with customers and stakeholders to deeply understand customer needs and distill them into actionable product requirement documents.
  • Partner closely with engineering and research to translate strategic goals into actionable product initiatives.
  • Forecast timelines and communicate product strategy and deliverables to company leadership.

Requirements

  • 5+ years experience in product management, with at least 3 years in the ML, LLM, or Gen AI space.
  • Deeply connected to the ML, Agentic, or GenAI community.
  • BS/MS/PhD in Computer Science or related technical field.

Bonus Points

  • Demonstrated success being a self-starter in an unstructured environment.
  • A passion for machine learning, search, and/or cutting-edge AI research.
  • Experience in a customer-facing role.
  • Experience building cloud software infrastructure.
  • Enjoy driving consensus and action in highly ambiguous spaces with lots of possibilities and opinions.

Perks & Benefits

  • Comprehensive health coverage including Medical, Dental, Vision.
  • Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions.
  • Cost-savings on gynecology, fertility, and family-building care.
  • Equity award.
  • 401(k).
  • Flexible time off.
  • Paid parental leave.
  • Annual Department Retreat.
  • WFH Equipment Stipend.

All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Compensation Range: $200K - $275K

Key skills/competency

  • Product Strategy
  • Machine Learning
  • Generative AI
  • Vector Databases
  • Retrieval Augmented Generation (RAG)
  • LLM Applications
  • Stakeholder Management
  • Roadmap Development
  • Technical Acumen
  • Customer Needs Analysis

Tags:

Product Manager
Product Strategy
Roadmap Definition
Customer Needs
Stakeholder Management
ML Product
LLM Product
Generative AI
Retrieval Systems
AI Applications
Cross-functional Collaboration
Vector Database
Machine Learning
Large Language Models
Cloud Infrastructure
AI Search
Agentic Systems
RAG Workflows
ML Research
Product Development Tools

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How to Get Hired at Pinecone

  • Research Pinecone's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight extensive experience in product management, particularly within ML, LLM, and Gen AI, emphasizing vector database knowledge.
  • Showcase technical depth: Prepare to discuss your BS/MS/PhD in Computer Science and any relevant cloud software infrastructure experience.
  • Prepare for strategic discussions: Be ready to articulate your approach to defining product roadmaps, stakeholder communication, and problem-solving in ambiguous technical spaces.
  • Demonstrate community engagement: Discuss your active involvement and contributions within the ML, Agentic, or GenAI communities.

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