Senior Software Engineering Manager
kadenceWhite Plains (NY)
Senior Software Engineering Manager
Posted 10 days ago
kadenceWhite Plains (NY)
SENIORITY
Lead
About the role
Senior 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.