Product Manager, Managed North

Cohere is seeking a Product Manager to create and launch a self-serve managed North offering for mid-market companies. The role owns product strategy and roadmap, validates market needs with customers and go-to-market teams, and partners across engineering and other functions to improve the platform and drive adoption.

Responsibilities

• Drive the roadmap and strategy for managed North, balancing near-term customer needs with long-term platform investment
• Partner with GTM teams to test assumptions, validate market needs, and iterate based on customer feedback, ensuring your solutions deliver real business value through seamless production operations
• Engage directly with customers and developers to understand integration challenges, validate priorities, and surface unmet needs
• Define success metrics for platform health and developer experience, and lead initiatives to move them
• Partner with engineering, research, technical writing, and developer relations to ship and document platform improvements

Preferred

• Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products
• Experience owning a model serving or inference platform
• Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns
• Data residency requirements
• Data sovereignty requirements
• Regional compliance
• AI infrastructure products
• Cloud infrastructure products
• Model serving platforms
• Inference platforms
• AI developer ecosystem
• Open standards
• LangChain
• LlamaIndex
• vLLM
• Interoperability standards
• Developer adoption patterns
• Integration patterns

Benefits

• Competitive compensation
• Equity options
• Opportunities for professional development
• Hybrid work model with offices in San Francisco, New York, and Toronto
• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch
• Full health and dental benefits, including a separate budget for mental health
• RRSP matching, 401K, Pension Scheme
• 100% Parental Leave top-up for up to 6 months, for either parent
• Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit
• Education & learning stipend for conferences, courses, and coaching
• 6 weeks of paid vacation (30 working days!)
• Budget for traveling to other offices if you are remote, plus an annual company offsite
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events
• For those not near an office: a co-working benefit so you can work alongside others in your city
• Everyone receives a $500 home office stipend to set up your workspace properly

Company

• Secure enterprise AI models and software for private business deployment
• Toronto, Ontario, CAN
• https://cohere.com/
• Founded in 2019
• 501-1000 employees

Qualifications

• 5+ years of product management experience, with meaningful time spent owning a B2B SaaS product
• A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features
• Entrepreneurial and experience taking new products to market
• Experience with deployment models such as multi-tenant and dedicated infrastructure
• Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions
• Strong collaborator who works well across engineering, design, infrastructure, and GTM teams, and who can communicate technical tradeoffs clearly to a range of stakeholders
• Highly execution-oriented with a bias toward shipping and iterating quickly
• Demonstrated ownership across the full product lifecycle — from problem definition and scoping through launch, iteration, and eventual deprecation or migration
• Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products
• Experience owning a model serving or inference platform
• Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns
• 5+ years of product management experience, with meaningful time spent owning a B2B SaaS product.

Required skills

• B2B SaaS Product Management, Infrastructure Product Management, Multi-tenant and Dedicated Infrastructure, Product Launch, Product Lifecycle Management, Product Analytics and Success Metrics, Data Residency and Regional Compliance, Model Serving and Inference Platforms, LangChain, LlamaIndex, vLLM

Preferred skills

• Experience owning a model serving or inference platform

Experience

• 5+ years