Senior Product Manager, Foundation Models

Key Skills

Aartificial intelligence, Deep Learning, Design, Effective communication skills, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, NeurIPS, SaaS, Teamwork

Job Description

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Product Managers have the unique opportunity and responsibility to both define product vision and drive results. On this team, you’ll get to work with one of the leading AI and NLP teams in the world and grow the product vision and company culture.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Senior Product Manager, your responsibilities include:

Customer Engagement and Research

• Work with developers and enterprise customers to understand their needs and pain points through feedback, focus groups, customer interviews, conferences, etc.
• Research the competitive landscape, industry trends, and stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.) to find new ideas and inspire the team
• Analyze product data to understand usage and find opportunities for improvement
• Work with leadership to shape and understand company strategy and goals

Design and Product Development

• Leverage insights from customer engagement to define and prioritize a product roadmap
• Spec and design improvements and features, including defining metrics for success
• Propose new initiatives and features 
• Work with partners and leadership to prioritize short and long-term investments

Execution

• Make tradeoffs during unforeseen challenges uncovered in the development process 
• Lead internal product planning, coordinating team resources and informing stakeholders
• Ensure projects are rolled out with clear metrics and hypotheses and define the next steps for success
• Market and celebrate successes and document learnings, internally and externally

Team and Company Impact

• Embrace adjacent roles and responsibilities per team and project needs -- it’s a startup after all!
• Promote a culture of learning and listening

You may be a good fit, if you have:

• 5+ years of product management experience with at least 2 years of experience working with ML
• Direct experience working as part of a team building Large Language Models
• Released multiple features with several iterations
• Bachelor’s degree in Computer Science, a related technical field (math, EE, etc.), or relevant technical experience
• A scrappy, startup mentality to move fast, iterate quickly, learn on the go, and take initiative
• Great communication and interpersonal skills working across different teams, personalities, and working styles
• Experience working on a developer-facing product such as an API
• [Optional] Advanced technical degree (MS or PhD), or a background in machine learning, algorithms, large scale systems, and statistics