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WAG is seeking a Lead Full Stack Engineer to own end-to-end features across our platform, with a center on backend architecture and strong API design. You will work closely with design and leadership to prototype, test, and iterate rapidly, leveraging AI tooling to boost productivity.
You’ll lead the backend design, ensure reliability and scalability, and help set engineering standards for the team while collaborating with cross-functional partners.
WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art and collectibles data), we combine deep industry expertise, technology, and white-glove service to modernize a $2.9 trillion global asset class.
We're already generating significant revenue and have raised Series B from top-tier VCs. Now we're building the next-generation platform to unlock liquidity, trust, and intelligence in the art market, and we're looking for exceptional engineers to help us do it.
We're hiring a Lead Full Stack Engineer: a senior technical IC who moves fluidly across the stack, with a center of gravity in the backend. In this role, "Lead" defines technical authority and architectural ownership beyond the Senior level, not managerial responsibility. You'll own features end to end, from data model and service design through the API to the UI, spend most of your time on backend systems, and help set fullstack engineering standards as the platform grows. This is a high-autonomy role on a flat engineering team. You'll report directly to our Head of Engineering, a hands-on technical leader, and work closely with our CPO, designers, and company leadership to prototype, test, and iterate quickly. This isn't about implementing tickets; it's about owning features from conception to production and making smart tradeoffs along the way.
We practice agentic development continuously. Tools like Claude Code and Codex are part of every engineer's daily workflow, and many of our agent skills and playbooks live in our shared repository so the whole team builds on them. This role suits someone who thrives in an early-stage environment, enjoys rapid prototyping and iteration, and believes AI tooling can 10X their output.
Required
Please note: English fluency is required. Interviews will be conducted in English.