Staff Back End Engineer- TQM

ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. The TQM team builds the planning layer of Forma.ai ’s platform. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request shows a real pattern and which is a one-off, how to actually build and deliver software at a high velocity in the new AI world, and how to build a system will hold up for years. You care about the product experience, working on both frontend and backend towards the goal of delivering strong experiences. Design these features so that new product areas can use them without rebuilding them. Learn from customers how planning is governed inside their organizations and turn that into a clear plan for delivery. Cut scope that doesn’t serve a customer, and say so clearly. Set the technical direction for how these features connect to the rest of the Forma.ai platform. Extensive experience building and running production systems, including leading the design of a product area or platform. Proficiency in Kotlin, Java, or a similar language, and comfort working across the stack, including a TypeScript and React frontend. Strong SQL, relational schema design, and data modelling skills, including data models that had to change over many years. A track record of good technical judgement. You have shaped what was built, and you can explain how you weighed customer value, cost, and risk. Experience talking with customers or customer-facing teams and turning what you learn into product decisions. Regular and critical use of AI coding tools, and a clear view on how a team should work with them. Clear, precise writing. You do not expect others to read AI output. Your audience will put in as much effort reading your docs as you do writing them. Exposure to Sales Performance Management, RevOps, Incentive Compensation, or financial planning. Experience with analytical databases or large-scale data processing. Familiarity with AWS and Kubernetes. Frontend: TypeScript, React, TanStack Router and Query, Tailwind, shadcn/ui Development: AI coding agents (Codex/Claude Code), used throughout design, implementation, and review You’ll learn TQM by working in it, and learn what enterprise customers need from it. Set up your environment and learned your way around the services, web app, and infrastructure. Shipped several changes to the production system, across more than one area of the product. Read the team’s domain and design documents and learned the core planning concepts. Spoken with product owners and customer-facing teams about enterprise requirements. Changed the scope or order of that work based on customer evidence. Got engineers building on the design, with the first pieces in review or in production. Improved how the team designs, reviews, or tests its work. Delivered the first enterprise features to production, used by customers in their planning. Made decisions that Product and Engineering both trust without needing to revisit them. ai ’s success. Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend. We have kids and pets. Mortgages and student loans. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed. Use of AI for Recruitment ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.