refresh

トレンド企業

Trending

採用

JobsCohere

Product Manager, Search and Embeddings

Cohere

Product Manager, Search and Embeddings

Cohere

New York

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Mental Health

Parental Leave

Remote Work

Free Meals

Learning Budget

Home Office Stipend

Commuter Benefits

Healthcare

Mental Health

Parental Leave

Remote Work

Meals

Learning

Home Office

Commuter

Required Skills

Product management

Search products

Embeddings

Reranking models

Machine learning

Technical leadership

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Product Management at Cohere:

Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.

We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.

About The Search and Embeddings Role:

  • One of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents
  • Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models.

The Search and Embedding PM manages the following models and products:

  1. Embeddings (Embed-v4.0)

  2. Rerank (Rerank-v3.5)

  3. Compass (Cohere’s Search Solution)

  4. Evaluation of Search performance across all products and models

In this role, you will:

  • Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities.

  • Use data and customer engagements to better understand user needs and guide future product and model development.

  • Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.

  • Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape.

  • Read lots of papers and collaborate with ML on ensuring our models remain SOTA

In order to be successful in this role, you have:

  • At least 4+ years of product management experience, understanding customer needs, and launching successful products.

  • At least 1+ years of working on search products and embedding/reranking models.

  • Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.

  • Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.

  • Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Cohere

Cohere

Cohere

Series C

Cohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.

201-500

Employees

New York

Headquarters

$2.2B

Valuation

Reviews

3.8

45 reviews

Work Life Balance

3.6

Compensation

4.2

Culture

4.0

Career

3.8

Management

3.5

78%

Recommend to a Friend

Pros

Supportive team and management

Competitive compensation and benefits

Good work-life balance and flexible environment

Cons

Room for improvement in processes

Career progression could be clearer

Some organizational bureaucracy

Salary Ranges

0 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Solution Architect L2

0 reports

$71,230

total / year

Base

$28,492

Stock

$35,615

Bonus

$7,123

$49,861

$92,599

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 25%

Neutral 0%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assessment

5

Hiring Manager Interview

6

Final Round Interview

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience