Lead a team of engineers who put Legora to work inside our largest enterprise customers. Our Forward Deployed Engineers sit between customers, product and engineering. They work directly with the world's leading law firms and legal teams to understand how they operate, then build the software that connects Legora to their systems and workflows.
Responsibilities
Lead, coach and grow a team of Forward Deployed Engineers in New York
Review code and mentor engineers at every level
Contribute to hiring and keep the team healthy and effective
Set team objectives that connect to the goals of the FDE function
Plan how engagements are scoped, staffed, delivered and handed over
Requirements
Nice to have: Forward deployed experience at a high-growth B2B or AI company
Nice to have: Work in legal or financial services or other regulated environments
A hands-on software engineer who can take end-to-end technical ownership of a significant software subsystem or product capability within Avaya's enterprise communications and contact center portfolio.
Compensation
The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position.
Responsibilities
Own a subsystem from design through production, including technical direction, implementation, interfaces, testing, operational readiness, and ongoing improvement.
Turn product goals into clear designs and achievable delivery plans, defining interfaces, data flows, and identifying risks.
Personally implement critical functionality and resolve difficult technical problems across backend services, APIs, messaging, and data.
Establish clear integration contracts with adjacent systems, addressing compatibility and failure behavior.
Use AI coding agents for substantial engineering work, defining tasks, challenging solutions, and verifying results.
Requirements
Bachelor degree or equivalent experience in Computer Science or Engineering
Nice to have: Go development
Nice to have: Rust development
Nice to have: Event-driven systems (Kafka, NATS, RabbitMQ)
Join a newly formed customer-facing engineering team at an early-stage enterprise AI company focused on IT service management and workflow automation. You will build production systems with customers, turning complex operational needs into reliable AI-powered solutions and reusable platform capabilities.
Compensation
Base salary: $200,000 to $325,000 annually. Visa sponsorship is not available.
Responsibilities
Architect and build production-grade systems for customer pilots, translating complex requirements into scalable implementations.
Develop and maintain backend services, APIs, and integrations that extend an AI agent platform.
Build secure, reliable integrations with external systems, with strong observability and maintainability.
Turn customer needs and edge cases into reusable product capabilities.
Own deployments from initial architecture through launch, scaling, and ongoing optimization.
Founding Forward Deployed Engineer (FDE) focused on bridging cutting-edge AI research, robotics data infrastructure, and real-world customer deployments.
Responsibilities
Own End-to-End Technical Delivery: Lead customer engagements from requirements gathering and technical scoping through implementation, validation, and delivery.
Serve as a Technical Partner: Work directly with customers to understand their robotics, AI model training, and data infrastructure needs, troubleshoot issues, and drive successful outcomes.
Build and Improve Data Infrastructure: Develop and optimize data pipelines, integrations, and workflows supporting large-scale robotics and multimodal AI datasets.
Drive Product Improvements: Translate customer feedback and technical challenges into actionable improvements for internal engineering and platform teams.
Develop Scalable Solutions: Build reusable tools, automation, and technical processes to improve delivery efficiency and customer experience.
As a Staff Backend Engineer, you'll be hands-on and writing production code, working closely with the Foundations lead. You'll stay on one team but spend a lot of your time alongside other teams, helping them adopt a new pattern, writing code with them and making sure it works for their part of the product. This isn't a feature team role, and it isn't DevOps or SRE either. It's backend engineering whose impact shows up across the whole of Quo.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Lead the technical work on our REST to GraphQL migration, building the core pieces yourself and the patterns that let every other team finish theirs.
Shape how our GraphQL architecture grows, including breaking one large graph into supergraphs and subgraphs that teams can own and change independently.
Help rework authentication and authorization across Quo, working directly with each team it touches and writing code alongside them.
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