People Operations Manager, Data & Reporting

Job description

Who are we? Cohere is the leading security-first enterprise AI company. 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 believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're hiring a People Operations Manager to own our People data and the reporting built on top of it, alongside a slice of the operational work that generates it. Cohere is scaling fast and leadership needs numbers they can trust. Today those numbers take too long to produce and they don't always agree with each other. Reporting is only as good as the data underneath it, which is why this role runs real processes as well as reporting on them. This is a hands-on building role. You will own headcount, attrition and cost reporting, define what our metrics actually mean, and own benefits administration and employee records end to end. You will own the answer, not just the spreadsheet. A useful lens; this role means nobody has to debate whose number is right. You'll join a small HR Operations team during our Rippling implementation, which means greenfield opportunity and real influence over how our data is structured for the next few years. What you'll do Own the numbers Own headcount, attrition and people cost reporting end to end Build the exec and board level reporting our leadership relies on Define what our metrics mean, rather than producing whatever is asked for Fix the data underneath Reconcile People and Finance headcount, and keep them reconciled Clean up the taxonomies that make reporting unreliable, starting with termination reasons Chase the data quality problems nobody has asked you to chase Build the checks that stop bad data entering in the first place Own the data model Own our employee data m…