Manager, Software Development Engineering, CoCounsel FDE

Thomson Reuters · Ann Arbor, MI · 1 wk ago

Hybrid$118k/yrFull-time

About the role

Lead and support multiple cross-functional Forward Deployed Engineering project teams, ensuring efficient and effective execution while resolving issues as they arise
Architect and guide the design of scalable, secure AI/software solutions, applying deep knowledge of software and AI system architecture to complex, end-to-end AI/ML development across the software development lifecycle
Drive innovation by evaluating and adopting emerging AI methodologies, influencing enterprise-wide MLOps and LLMOps practices, and setting strategy for testing, AI monitoring, and debugging at the platform level
Manage and develop talent through hiring, performance management, coaching, and mentoring of engineers, fostering a culture of technical growth and high performance
Translate business needs into AI solutions by communicating and coordinating with project teams, partners, and stakeholders, and by championing thought leadership that promotes reusable, consistent AI frameworks and patterns
Own technical delivery across multiple projects and products—including large-scale AI/ML initiatives—by removing impediments, guiding project leads, and managing budgets where applicable
Build a customer-aware, high-performing team culture, ensuring close collaboration with Product, Project Management, and Technical Operations to deliver impactful, prioritized work

Responsibilities

Lead and support multiple cross-functional Forward Deployed Engineering project teams, ensuring efficient and effective execution while resolving issues as they arise
Architect and guide the design of scalable, secure AI/software solutions, applying deep knowledge of software and AI system architecture to complex, end-to-end AI/ML development across the software development lifecycle
Drive innovation by evaluating and adopting emerging AI methodologies, influencing enterprise-wide MLOps and LLMOps practices, and setting strategy for testing, AI monitoring, and debugging at the platform level
Manage and develop talent through hiring, performance management, coaching, and mentoring of engineers, fostering a culture of technical growth and high performance
Translate business needs into AI solutions by communicating and coordinating with project teams, partners, and stakeholders, and by championing thought leadership that promotes reusable, consistent AI frameworks and patterns
Own technical delivery across multiple projects and products—including large-scale AI/ML initiatives—by removing impediments, guiding project leads, and managing budgets where applicable
Build a customer-aware, high-performing team culture, ensuring close collaboration with Product, Project Management, and Technical Operations to deliver impactful, prioritized work

Requirements

10+ years in software/solutions engineering, including 2+ years in a formal or informal people-management or team-lead capacity, while remaining technically hands-on rather than purely administrative.
Team leadership experience — you've led and grew a team of forward-deployed, field, or solutions engineers, with direct accountability for hiring, performance management, career development, and team structure.
Sustained customer-facing experience — running discovery sessions, presenting architecture, defending technical decisions, and building trust with both technical and non-technical stakeholders (GCs, IT leaders, innovation teams).
A track record of scoping, building, and demoing rapid POCs and pilots against ambiguous or evolving requirements, and turning what you learn into repeatable patterns your team can execute on.
Strong Python development skills, plus hands-on AWS expertise (Bedrock AgentCore, CDK, EKS, ECR) and ownership of CI/CD pipelines (Docker, SQL/Flyway migrations, Cumulus or similar enterprise deployment platforms).
Direct ownership of building and deploying LLM-powered agents (Anthropic Claude or similar) — from requirements gathering and solution design through implementation, integration, and production hand-off — including backend, frontend, agent guardrails/security design, evaluation frameworks and scorecard-based quality testing, and production observability (e.g., Datadog), and infra.
Comfort operating at the intersection of Product, Engineering, Sales, and Customer Success, translating customer-specific technical work into structured feedback that shapes the core CoCounsel product roadmap.

Qualifications

10+ years in software/solutions engineering, including 2+ years in a formal or informal people-management or team-lead capacity, while remaining technically hands-on rather than purely administrative.
Sustained customer-facing experience — running discovery sessions, presenting architecture, defending technical decisions, and building trust with both technical and non-technical stakeholders (GCs, IT leaders, innovation teams).
A track record of scoping, building, and demoing rapid POCs and pilots against ambiguous or evolving requirements, and turning what you learn into repeatable patterns your team can execute on.
Strong Python development skills, plus hands-on AWS expertise (Bedrock AgentCore, CDK, EKS, ECR) and ownership of CI/CD pipelines (Docker, SQL/Flyway migrations, Cumulus or similar enterprise deployment platforms).
Direct ownership of building and deploying LLM-powered agents (Anthropic Claude or similar) — from requirements gathering and solution design through implementation, integration, and production hand-off — including backend, frontend, agent guardrails/security design, evaluation frameworks and scorecard-based quality testing, and production observability (e.g., Datadog), and infra.
Comfort operating at the intersection of Product, Engineering, Sales, and Customer Success, translating customer-specific technical work into structured feedback that shapes the core CoCounsel product roadmap.

Skills

Technical leadership and people management
Scalable, secure AI/software solutions design
Innovation through emerging AI methodologies
Talent management and development
Business needs translation into AI solutions
Technical delivery across multiple projects and products
Customer awareness and collaboration

Benefits

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Pay

$118,400 USD - $219,800 USD

Schedule

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)