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JobsLlamaIndex

Lead Product Manager

LlamaIndex

Lead Product Manager

LlamaIndex

San Francisco

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive benefits

Professional development

Flexible work

Stock options or RSUs

Generous vacation

Learning

Required Skills

SQL

Mixpanel

Confluence

Join us and help shape the future of AI by defining the narrative around document understanding.

About the role

Llama Index is on a mission to revolutionize how organizations utilize their knowledge by building cutting-edge AI-powered agents/tools to enhance enterprise knowledge workflows. As a Lead Product Manager, you will play a pivotal role in shaping the future of our products, ensuring they meet the needs of developers.

What we are looking for

  • Deep understanding of developer tools and developer pain points
  • Domain understanding of AI and AI agent use cases
  • Customer obsession and consultative mindset
  • Ability to navigate ambiguity and drive results
  • Collaborative spirit and eagerness to help others succeed

Responsibilities

  • Drive Product Vision & Strategy: Define and execute the product roadmap for our core offerings, balancing developer-centric innovations with enterprise needs.
  • Lead End-to-End Execution: Oversee product lifecycle stages from ideation to launch, iterating quickly based on user feedback and data insights. This involves personally test driving your products end to end, writing documentation where needed etc.
  • Engage with Users: Proactively interact with developers and enterprise users to understand pain points, gather feedback, and foster strong relationships.
  • Define Success Metrics: Establish and track KPIs to measure the success of product launches and ongoing performance.
  • Collaborate Across Teams: Work closely with engineering, design, and go-to-market teams to align priorities, ensure seamless delivery, and maximize product impact.
  • Act as a Domain Expert: Develop expertise in AI-driven solutions and customer workflows to guide strategic product decisions.
  • Evangelize the Product: Represent Llama Index at conferences, webinars, and community events, showcasing our technology and gathering insights.

Qualifications

  • Experienced Leader: 4+ years of product management experience, including ownership of developer-facing tools or enterprise SaaS solutions.
  • Technical Aptitude: Strong understanding of APIs, SDKs, and Dev tools. Familiarity with AI/ML is a plus.
  • Customer-Obsessed: A track record of solving complex problems by deeply understanding customer needs and translating them into actionable solutions.
  • Data-Driven Decision Maker: Ability to leverage data to guide product strategy and validate decisions.
  • Collaborative across teams: Proven ability to work cross-functionally in fast-paced environments, aligning diverse teams to deliver impactful results.
  • Strong Communicator: Exceptional written and verbal communication skills, capable of influencing internal stakeholders and engaging external audiences.
  • AI Enthusiast: Excited about driving AI adoption and its transformative potential for businesses.
  • Hands-On Problem Solver: Willing to dive into technical details and provide practical solutions when needed.

Preferred Qualifications

  • Demonstrated ability to successfully launch 0-to-1 products in a SaaS or developer tools context.
  • Experience with enterprise sales cycles and go-to-market strategies at a fast growing company.
  • An early adopter of AI technology with a passion for staying ahead of emerging trends.
  • Experience leading teams or initiatives in the AI/ML or knowledge management space.

Location

We offer a hybrid-friendly culture based out of our downtown San Francisco office.

Why Join Us?

  • Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
  • Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
  • Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.

Additional Benefits:

  • Competitive base salary and equity compensation
  • Comprehensive medical/dental/vision coverage for you and your family
  • Unlimited paid time off policy
  • Daily catered lunch and snacks in the San Francisco office

***Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.*Llama Index does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. Llama Index is not responsible for any fees related to unsolicited resumes.

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About LlamaIndex

LlamaIndex

LlamaIndex

Series A

LlamaIndex is an open-source data framework that enables developers to connect custom data sources to large language models. The company provides tools and infrastructure for building LLM-powered applications with retrieval-augmented generation capabilities.

1-50

Employees

San Francisco

Headquarters

Reviews

4.1

44 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

4.4

Career

4.3

Management

3.6

82%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Strong engineering culture with focus on code quality

Cons

Work-life balance can be challenging during product launches

Internal politics in some teams

Organizational changes and restructuring can be disruptive

Salary Ranges

4 data points

Senior/L5

Staff/L6

Senior/L5 · Full Stack Product Engineer

2 reports

$260,000

total / year

Base

$200,000

Stock

-

Bonus

-

$260,000

$260,000

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

FAISS/Vector Database

LLM/AI Experience