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The Senior UX/UI Designer will own design features at Syllo, collaborating closely with design, product, and engineering teams to deliver polished user experiences, managing design systems and iterating efficiently.

The Engineering Manager will mentor a team of engineers, improve processes, collaborate with product managers, and define staffing strategies.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Own and organize the product documentation library; author internal and client-facing documentation across the litigation lifecycle; produce procedural guides, decision trees, and visual workflow diagrams; write quick-turn responses to client questions; edit and polish release notes and translate developer updates into client-centric value propositions.

Lead operational execution for Product & Engineering: drive day-to-day SDLC, manage work from triage to completion, maintain GitHub Projects as source of truth, coordinate cross-functional teams, remove blockers, and improve engineering processes and delivery predictability.

Lead design and implementation of a production inference platform for LLMs. Define roadmap, integrate and optimize inference runtimes, manage GPU infrastructure, and build systems for deployment, autoscaling, observability, and operational excellence. Benchmark models/runtimes, partner with ML and product teams, make architectural tradeoffs, and mentor engineers to scale AI infrastructure.

Lead and own Syllo's QA strategy, build scalable automated testing frameworks integrated into CI/CD, and drive quality across Engineering, Product, and Customer Success. Champion QA processes, measure and improve release standards, reproduce and validate complex customer issues, and leverage AI/LLM tools to modernize test generation, failure analysis, and automation to increase release confidence and reduce manual testing.

Own the technical roadmap for Company Operations, translating business needs into engineering specifications, prioritizing sprints, allocating capacity, and ensuring quality delivery. Partner with data engineering to evolve warehouse structures, establish business logic, validate data, and support financial and go-to-market reporting. Collaborate cross-functionally on build-versus-buy decisions, perform hands-on QA and data validation, and prototype with AI coding tools.

Build and scale AI-first internal tools, including document parsing engines, Slack applications, workflow utilities, and LLM evaluation systems. Develop automated testing and benchmarking for non-deterministic AI outputs, integrate LLM APIs, and partner with Finance, Legal, Customer Success, and Revenue Operations teams. Establish best practices for AI-assisted software development while delivering maintainable, secure, reliable full-stack solutions.

Designs and implements lean operational systems across the company, including workflow improvements, communication protocols, Slack structures, reporting cadences, documentation hubs, and knowledge repositories. The role identifies operational bottlenecks, solves root causes, improves cross-functional alignment, and reduces administrative friction. Candidates should have 5+ years of experience in operational excellence, process management, business operations, or management consulting within high-growth technology environments.