Engineering Manager, AIHybrid | NYC or Toronto We’re partnering with a global technology organization to hire an Engineering Manager for a high-growth team building AI-powered software for tax and accounting professionals. The team combines the speed and autonomy of an AI startup with the stability, resources, and customer reach of a well-established global business. You’ll lead a talented group of backend and AI engineers developing production-grade systems that help professionals navigate complex workflows more efficiently. This is an excellent opportunity for a technically credible engineering leader who enjoys building teams, improving how software gets delivered, and helping shape practical applications of generative and agentic AI.
What you’ll do:- Lead, mentor, and grow a high-performing team of backend and AI engineers
- Improve engineering processes, code-review practices, team rituals, and overall delivery velocity
- Partner with Product and Design to establish priorities, roadmaps, and clear ownership
- Help define the technical direction for AI-powered and increasingly agentic professional workflows
- Scope and guide AI features from early concept through production deployment
- Collaborate with research and applied AI teams to turn emerging capabilities into reliable products
- Identify and remove cross-team blockers that slow engineering execution
- Develop an understanding of the tax and accounting ecosystem and its opportunities for automation
What we’re looking for:- 8+ years of hands-on software engineering experience 3+ years of experience managing engineering teams
- A track record of leading teams that deliver scalable, production-grade backend systems
- Strong knowledge of backend engineering, system architecture, and cloud infrastructure
- The technical depth to contribute meaningfully to architecture discussions, design decisions, and code reviews
- Experience partnering with Product, Design, and other cross-functional leaders
- Strong communication skills and the ability to align stakeholders around clear goals
- Comfort operating in a fast-moving environment where priorities can evolve quickly
- Preferred experience
- Building or managing teams that have shipped AI-driven or agentic systems into production
- Familiarity with LLM orchestration, retrieval-augmented generation, agent frameworks, or AI evaluation pipelines
- Strong knowledge of Python and AWSExperience working with modern LLM APIs and productionizing them reliably
- Leadership of blended backend and AI/ML engineering teams
- Exposure to tax, accounting, legal, financial services, or another regulated professional domain
- Why consider this opportunity?
- Lead a team working on meaningful, production-scale applications of generative AIJoin an environment that offers startup-style ownership with the backing of a global organization
- Influence both engineering execution and the longer-term direction of the product
- Work alongside experienced product, design, research, and AI engineering teams
- Benefit from flexible working arrangements, comprehensive benefits, and strong professional-development support
- If you’re an engineering leader who wants to help turn cutting-edge AI capabilities into trusted tools for complex professional work, I’d be happy to share more details.
