Technical Revenue Manager

Responsibilities

• ▹Own complex revenue technical positions for AI-native companies on high-impact revenue recognition projects
• ▹Analyze and implement accounting treatment for complex revenue transactions, including non-standard contracts, modifications, new products, and credit/usage-based pricing
• ▹Review complex revenue arrangements to identify terms and conditions that impact revenue recognition
• ▹Design and implement systems and processes to automate revenue recognition
• ▹Partner with Deal Desk, Go-to-Market, and Strategic Finance teams to standardize and automate deal approvals
• ▹Execute complex ASC 606 technical evaluations and draft comprehensive revenue accounting memos
• ▹Support the external audit process and lead cross-functional ad hoc projects

Requirements

• ▹6+ years of experience with ASC 606 for SaaS, consumption-based, and professional services arrangements
• ▹6+ years of experience in internal controls, SOX/ICFR, audit, or financial process risk within high-growth tech/SaaS environments
• ▹Proven experience advising Product and GTM teams on revenue recognition implications
• ▹Strong contract review experience with multi-element arrangements, milestone-based SOWs, and credit/usage models
• ▹Familiarity with order-to-cash workflows and revenue automation tools (e.g., NetSuite ARM)
• ▹Expert knowledge of consumption-based and subscription billing models

Soft skills

What we offer

• ▹Compensation range: $115,000–$240,000 USD (US candidates) / $160,000–$250,000 CAD (Canada candidates)
• ▹Weekly lunch stipend, full health and dental benefits, mental health budget
• ▹Retirement plan (RRSP/401K/pension) matching
• ▹100% parental leave top-up for up to 6 months
• ▹6 weeks of paid vacation, annual learning stipend, travel budget, $500 home office stipend

About the company

Cohere is the leading security-first enterprise AI company. It builds cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems, training and deploying frontier models for enterprises building AI systems. It's a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris.