Senior Manager, Forward Deployed Engineering – Tax & Audit

Thomson Reuters•Brooklyn, NY

7d•Hybrid

About The Position

Thomson Reuters is hiring a Senior Manager to lead the engineering team that delivers production AI solutions for public accounting firms and corporate tax departments. The role combines engineering people leadership, ownership of client delivery, and technical judgment for production AI. The Senior Manager hires and develops senior technical talent, builds teams for client engagements, and oversees delivery from rapid prototypes to complex, multi-month implementations. The role is accountable for team capacity, solution quality, and client outcomes. The position provides technical and operational leadership across client engagements, including staffing and capacity planning, architecture and quality standards, delivery health, and client satisfaction. It also improves engineering effectiveness by embedding AI-enabled development practices and reusable solutions into team workflows. The role partners with business, product, consulting, and platform leaders to align demand with capacity, manage priorities, and support transitions into ongoing support. This is a hybrid, office-based role. Eligible office locations include New York City, San Francisco, Los Angeles, Irvine, McLean, Washington, DC, and Ontario, Canada. The posting is for proactive recruitment and may be used to fill current or future vacancies.

Requirements

10+ years of experience in software engineering or technical consulting, including 5+ years managing engineering teams.
Demonstrated success hiring, developing, and retaining senior engineers.
Ownership of client-facing engineering delivery in consulting, professional services, or a comparable environment, including staffing, resource allocation, utilization, and capacity forecasting.
Experience leading teams that shipped LLM-powered applications into production, with the ability to explain architecture, implementation decisions, operating costs, and technical tradeoffs.
Hands-on experience with modern AI engineering practices, including RAG, agentic workflows, function calling or Model Context Protocol (MCP), evaluation frameworks, and observability.
Daily use of AI coding tools such as Claude Code, Cursor, or GitHub Copilot, and experience establishing team workflows around them.
Ability to assess and address AI risks in regulated environments, including hallucinations, data leakage, prompt injection, and audit-trail integrity.
Demonstrated technical decision-making, people development, delivery prioritization, and stakeholder communication, including managing expectations and resolving escalations with senior client executives and internal leaders.

Nice To Haves

Experience in tax, audit, accounting, or financial services.
Experience managing engineering leads or managers.
Experience scaling engineering teams while maintaining hiring quality and delivery standards.
Background in forward-deployed engineering, solutions engineering, or embedded client delivery.

Responsibilities

Build, lead, and develop a senior engineering team of engagement leads, AI engineers, and integration engineers; own hiring, coaching, performance management, and career development.
Own staffing, capacity planning, and delivery forecasting across client engagements; match skills and availability to demand, reserve capacity for pre-sales prototypes, and address resource gaps.
Provide technical leadership for production AI solutions by reviewing architecture, scope, estimates, and operating costs across RAG, AI agents, tool integrations, and prompt and context engineering.
Set standards for AI quality, evaluation, and risk controls, including reference datasets, expert review, regression testing, accuracy thresholds, and safeguards for regulated tax and audit work.
Own delivery health and client outcomes across engagements, managing scope, risk, quality, and client satisfaction; serve as an escalation point for clients and internal teams.
Improve engineering effectiveness through AI-enabled development, including AI coding tools, automated testing, evaluation pipelines, and reusable solutions.
Partner with business, product, consulting, and platform leaders to align demand with capacity, resolve competing priorities, support transitions into ongoing support, and report on utilization, throughput, and forecast accuracy.

Benefits

Flexible vacation and paid time off, including paid holidays and two company-wide mental health days.
Access to the Headspace app and resources for mental, physical, and financial wellbeing.
Retirement savings plan with company match.
Tuition reimbursement.
Employee incentive programs; role may also be eligible for an annual bonus based on enterprise and individual performance.
Health, dental, vision, disability, and life insurance.
Parental leave and sabbatical leave.
Flexible Spending and Health Savings Accounts.
Fitness reimbursement.
Employee Assistance Program.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Optional hospital, accident, sickness, life, and AD&D insurance.
Group legal and identity theft protection benefit.
Access to a 529 Plan.
Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
Flexible hybrid work arrangements, including work from anywhere for up to 8 weeks per year.
Career development and continuous learning programs.