Engineering Manager, AI Tax Platform (Hybrid)

Thomson Reuters Corporation

New York (NY)

Hybrid

USD 118,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
401(k) with company match
Mental Health Days
Tuition Reimbursement
Volunteer days

Job summary

Thomson Reuters Corporation is hiring an Engineering Manager for CoCounsel Tax. The role leads backend and AI engineers, guiding AI-driven tax workflow features from scoping to delivery. You’ll partner with PM and Design to shape roadmaps and ensure high-velocity, scalable output.

You will also mentor teams, improve processes, and grow domain depth in AI-enabled tax automation across a fast-moving, hybrid work environment in multiple North American locations.

Qualifications

  • 8+ years of hands-on software engineering experience with 3+ years managing engineering teams.
  • Track record of leading teams that ship production-grade backend systems at scale.
  • Experience partnering with PM, Design, and cross-functional leaders to set strategy and execute against it.

Responsibilities

  • Build and grow the team; hire, mentor, and develop backend and AI engineers.
  • Improve velocity and engineering health; optimize processes, code reviews, and delivery cadence.
  • Set direction with product and design; align roadmaps and ownership.
  • Shape agentic tax workflows and AI features across the product; collaborate with Labs/Research.
  • Remove blockers and scale cross-team efficiency across the organization.
  • Develop domain depth in tax ecosystems and automation opportunities.

Skills

Backend development
Cloud infrastructure
Python
AWS
LLM APIs
AI/ML fundamentals

Tools

OpenAI API
Anthropic API

Job description

Thomson Reuters Corporation is hiring an Engineering Manager for CoCounsel Tax. The role leads backend and AI engineers, guiding AI-driven tax workflow features from scoping to delivery. You’ll partner with PM and Design to shape roadmaps and ensure high-velocity, scalable output.

You will also mentor teams, improve processes, and grow domain depth in AI-enabled tax automation across a fast-moving, hybrid work environment in multiple North American locations.

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