We're looking for a Staff Software Engineer who owns technical direction, thrives in ambiguity, and uses AI as a natural part of how they build software. You won't just write code - you'll make decisions that shape systems for years, mentor engineers across teams, and drive the engineering bar higher across the organization
This role sits within the Unstructured Content Portfolio, Broker Research domain - the systems that acquire, process, and deliver equity research from major brokers, and the authorization layer that controls who can access what. You'll work on real-time ingestion pipelines, multi-vendor API integrations, entitlement enforcement across distributed systems, and content delivery at scale - where compliance, reliability, and low-latency processing matter deeply
As a Staff Engineer, you'll operate at the intersection of technical depth and organizational influence - turning ambiguous business problems into executable technical strategies, and shipping them end-to-end
Set technical direction for your area - make build-vs-buy decisions, define architecture, and own the technical roadmap alongside product leadership
Take ambiguous problems and make them concrete - scope work, identify risks, break down large initiatives into deliverable increments, and drive alignment across teams
Design and deliver production-grade systems - scalable pipelines, robust services, and high-performance solutions that serve real users at scale
Leverage AI tools as part of your workflow - you use AI-assisted development (Claude Code, Cursor, Copilot) to accelerate your work and have formed opinions on when it helps and when it gets in the way
Evaluate and integrate AI/ML capabilities into production systems when the problem calls for it - you don't need to be an ML researcher, but you're sharp enough to pick up LLMs, embeddings, or classification models and put them to work
Drive cross-team technical initiatives - influence engineers and teams you don't manage. Lead RFCs, drive architectural reviews, and build consensus on hard technical decisions
Own what you build - from requirements to release to production. You build it, you run it. You monitor SLOs/SLIs, troubleshoot production issues, and continuously improve reliability
Raise the engineering bar - through code reviews, mentorship, technical documentation, and by modeling the standards you expect from others