Cohere
Chief of Staff
Toronto · Exec · Full-time
Sponsorship not specifiedDetected 3 days ago
RESTMachine LearningResearchLeadershipCommunication
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About the role
- We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed.
- In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones.
- Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting.
Responsibilities
- We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
- We're training and deploying frontier models for enterprises who are building AI systems.
- We obsess over what we build.
- You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations).
- Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter.
- Own and lead special projects: Lead the things that don't fit neatly on any one team's plate: a reorg, a new partnership, a flagship research event, an org-wide planning week.
Requirements
- You have 12+ years of operating experience, with real time inside an AI/ML organization in a Chief of Staff, business operations, or senior program-operations seat.
- You can talk credibly about how a model turns into a product, what data requirements demand from both research and engineering, and where delivery motions usually break.
- You can sit in a planning conversation with the Chief AI Officer in the morning and chase down a stuck deliverable in the afternoon.
- You have a track record of bringing order to a fast, complex org without grinding it to a halt.
- You are an outstanding communicator and know how to wield soft power.
- Clear writing, straight talk, the ability to influence teams and individuals, and the executive presence to represent the Chief AI Officer in high-stakes conversations.
Compensation
- Own the operating rhythm and planning: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter.
- Annual enrichment
Benefits
- 6 weeks of paid vacation (30 working days!)
- Everyone receives a $500 home office stipend to set up your workspace properly.
- 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.
- Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
Company info
- cross-functional planning with product, engineering, security, and finance, so the org's commitments are realistic and its dependencies are visible.
- Own them end to end.
- You know how to partner with teams shipping fast & often to high-stakes organizations, and you know how to change course with agility when needed.
- You understand how AI actually works-at the level of someone who's done it rather than managed it from a distance.
- You're fluent in the numbers.
- Model performance metrics, data pipeline throughput, budget-to-impact.
- You don't have to run every program yourself.
- You do have to understand them well enough that the people who run them respect your judgment.
- You hold strategy and execution in the same hand.
- You thrive in a fast-paced environment, you handle ambiguity with curiosity and confidence, you stay calm when it's messy.
This listing is sourced directly from Cohere's careers page and normalized into a canonical job model.