Senior Manager, Software Engineering

Senior Manager, Software Engineering — Search Platform Overview Of The Role: The CoCounsel Legal Integrations team is seeking a Senior Manager, Software Engineering to lead the engineering team responsible for building, operating, and evolving the shared search platform at Thomson Reuters. This platform is the foundation of TR’s search capability — a managed, self‑service infrastructure that allows internal client teams to configure, deploy, and iterate on production search systems in days rather than months, accelerating the delivery of high‑quality search experiences across TR’s legal, tax, and professional products.

Responsibilities Platform & Technical Leadership

Own the end-to-end platform engineering roadmap — spanning document ingestion and processing, search engine management, query APIs, platform control‑plane APIs, and the cloud infrastructure that ties them together — balancing new capability delivery with rigorous management of reliability and technical debt

Drive API‑first, self‑service architectural thinking: ensure that every capability the platform delivers is accessible via a clean, versioned, well‑documented API, and that internal client teams can configure and operate search systems without direct involvement from the platform team

Lead the migration from current search infrastructure to the platform’s strategic search engine, including Vespa adoption, while maintaining zero‑downtime operations on existing production systems throughout the transition

Champion full‑stack operational ownership across the team: the team defines, builds, tests, deploys, scales, and operates what it ships — establishing on‑call rotations, incident response practices, SLO definitions, and reliability engineering as first‑class team responsibilities, not afterthoughts

Build a team culture where AI‑assisted development is the default and delivery friction is identified and eliminated aggressively — ensuring the team ships to production constantly and that process or tooling obstacles are treated as urgent engineering problems

Partner closely with TR Labs to ensure that new retrieval techniques, embedding models, re‑ranking approaches, and agentic search patterns have a clear, well‑supported path from prototype to production within the platform’s architecture — including the infrastructure required to serve custom models in production with appropriate latency SLOs, versioning, and rollback capability

Oversee platform infrastructure including event streaming (Kafka/MSK), cloud services (AWS), observability tooling, and security controls including multi‑tenant data isolation and customer‑controlled encryption

Team Management

Build and lead a team of approximately 10 software engineers (including Staff and Senior levels), managing hiring, onboarding, performance, and professional development with a focus on cultivating deep technical ownership

Develop engineers who bring together distributed systems depth, search domain expertise, and a strong sense of operational responsibility — engineers who own their work from the first line of code to the production dashboard

Foster a culture of empowered ownership — where engineers have the autonomy to define the problem, the authority to push back on poor technical decisions, and the accountability to carry work from design through production operations

Translate complex platform and search concepts to non‑technical stakeholders — making the value and trade‑offs of platform investments legible to product managers and business leaders

Balance the team’s platform engineering responsibilities with direct search solution delivery for CoCounsel’s highest‑priority use cases

Strategic Delivery

Define and maintain engineering processes for a team that both builds shared platform infrastructure and delivers production search solutions — ensuring rigorous testing, code review, reliability standards, and continuous evaluation of search quality through both offline grading pipelines and online signals such as query performance monitoring, A/B experiments, and engagement analytics

Establish platform health and developer‑experience benchmarks — including API reliability SLOs, client onboarding time‑to‑value, and search quality metrics — and use them to drive continuous improvement

Evaluate and integrate emerging technologies — search engines, vector databases, streaming frameworks, AI development tooling, agentic retrieval patterns, orchestration tools — with a clear‑eyed assessment of production‑readiness and operational implications

Cultivate a strong, productive partnership with TR Labs — engaging early in the research and experimentation lifecycle to shape platform requirements, co‑develop integration patterns, and ensure that promising AI capabilities have a clear and well‑supported path to production

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