Senior Manager, Forward Deployed Engineering – Tax & Audit

Thomson Reuters

. Lead the engineering team delivering production AI solutions for public accounting firms and corporate tax departments at Thomson Reuters .

Posted 11/1/2026full-timeUnited StatesSenior💰 $118,400 - $219,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading engineering teams to deliver AI solutions, with a strong focus on client engagement, resource management, and technical leadership. Proficient in utilizing AI coding tools and addressing risks in regulated environments while ensuring high-quality delivery standards.

Highest-signal resume keywords

AI Solutions DeliveryTeam ManagementClient EngagementResource AllocationTechnical Leadership

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Hard Skills

Software EngineeringTechnical ConsultingAI Coding ToolsRAGAgentic WorkflowsModel Context ProtocolEvaluation FrameworksObservabilityCapacity ForecastingRisk Assessment

Soft Skills

People DevelopmentStakeholder CommunicationDelivery PrioritizationExpectation ManagementEscalation Resolution

Tools & Technologies

Claude CodeCursorGitHub Copilot

Industry Keywords

Public AccountingCorporate TaxFinancial ServicesTaxAudit

About the role

Key responsibilities & impact

Lead the engineering team delivering production AI solutions for public accounting firms and corporate tax departments at Thomson Reuters
Hire and develop senior technical talent
Build the right team for each client engagement
Oversee delivery from rapid prototypes to complex, multi-month AI implementations
Own hiring, coaching, performance management and career development for engagement leads, AI engineers and integration engineers
Own staffing, capacity planning and delivery forecasting across client engagements
Match skills and availability to demand and maintain capacity for pre-sales prototypes
Address resource gaps before they affect delivery
Provide technical leadership for production AI solutions across RAG, AI agents, tool integrations, and prompt and context engineering
Review architecture, scope, estimates and operating costs
Set standards for AI quality, evaluation and risk controls
Own delivery health and client outcomes across engagements
Manage scope, risk, quality and client satisfaction
Serve as escalation point for clients and internal teams
Improve engineering effectiveness through AI-enabled development, automated testing, evaluation pipelines and reusable solutions
Partner with business, product, consulting and platform leaders to align demand with capacity
Resolve competing priorities and support transitions into ongoing support
Report on utilization, throughput and forecast accuracy

Requirements

What you’ll need

10+ years of experience in software engineering or technical consulting
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
Experience with staffing, resource allocation, utilization and capacity forecasting
Experience leading teams that shipped LLM-powered applications into production
Ability to explain architecture, implementation decisions, operating costs and technical tradeoffs
Hands-on experience with 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
Experience establishing team workflows around AI coding tools
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
Experience managing expectations and resolving escalations with senior client executives and internal leaders
Experience in tax, audit, accounting or financial services preferred
Experience managing engineering leads or managers preferred
Experience scaling engineering teams while maintaining hiring quality and delivery standards preferred
Background in forward-deployed engineering, solutions engineering or embedded client delivery preferred

Benefits

Comp & perks

Flexible hybrid working environment
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Pro-bono consulting and ESG initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401(k) plan with company match
Sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Annual Bonus based on enterprise and individual performance