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JobsPinecone

Staff Product Manager, Knowledge

Pinecone

Staff Product Manager, Knowledge

Pinecone

New York City

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

Mental Health

Equity

401(k)

Unlimited PTO

Parental Leave

Home Office Stipend

Healthcare

Mental Health

Equity

401k

Unlimited Pto

Parental Leave

Home Office

Required Skills

Product Management

Machine Learning

AI/LLM Knowledge

ABOUT PINECONE

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's 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 raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.

About the role/team:

We are seeking an experienced product leader to drive adoption of our vector database through developing industry-leading retrieval capabilities. You'll architect next-generation retrieval and relevance solutions using Pinecone’s vector database that 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.

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About Pinecone

Pinecone

Pinecone develops a vector database that makes it easy to connect company data with generative AI models.

51-200

Employees

New York

Headquarters

$750M

Valuation

Reviews

3.6

4 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

3.5

Career

3.0

Management

2.5

65%

Recommend to a Friend

Pros

Great team dynamics and mentality

Excellent customer service and solutions

Professional and friendly work environment

Cons

Poor pay and compensation

Understaffing issues

Work outside job description expected

Salary Ranges

13 data points

Director

Director · Product Manager, Infrastructure

1 reports

$247,250

total / year

Base

$215,000

Stock

-

Bonus

-

$247,250

$247,250

Interview Experience

1 interviews

Difficulty

2.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Online Assessment