• Build and ship full product features across frontend, backend, APIs and databases. • Create customer and internal workflows for onboarding, accounts, payments, rewards, travel, FX, support automation, KYC and risk. • Turn ambiguous product problems into working systems with clean UX and reliable backend logic. • Work closely with product, design, mobile, backend and AI engineers to launch fast and improve after release. • Build internal tools and automation that reduce manual work and help teams operate at scale. • Own your work beyond release: monitor, debug, learn and improve.

• Build and ship full product features across frontend, backend, APIs and databases. • Create customer and internal workflows for onboarding, accounts, payments, rewards, travel, FX, support automation, KYC and risk. • Turn ambiguous product problems into working systems with clean UX and reliable backend logic. • Work closely with product, design, mobile, backend and AI engineers to launch fast and improve after release. • Build internal tools and automation that reduce manual work and help teams operate at scale. • Own your work beyond release: monitor, debug, learn and improve.

Role Description As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Responsibilities - Build and ship features across the full stack, with an emphasis on backend systems - Design and maintain data pipelines and data-movement workflows - Contribute to agentic and AI-driven product capabilities - Take customer feedback and help shape product direction, not just execute tickets - Collaborate closely with a small, senior team in a fast-moving codebase Qualifications - 5-7 years of full stack engineering experience (4+ considered on the lower end) - Strong proficiency in TypeScript and React, with some Python - Product-minded engineer who can form opinions and contribute to product direction - Demonstrable use of AI tools in your day-to-day workflow - Startup experience preferred - Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure Company Description Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product.

• Lead end-to-end solution architecture for Optimizely-based projects, from requirements gathering through deployment and support. • Design scalable, maintainable, and secure architectures using Optimizely CMS (PaaS/SaaS), Commerce, and the Optimizely One platform. • Define technical standards, best practices, coding guidelines, and governance frameworks for development teams. • Translate business requirements into technical designs, integration strategies, and detailed architecture documentation. • Provide technical leadership and mentorship to development teams, conducting code reviews and ensuring quality. • Architect integrations between Optimizely and third-party systems (CRM, ERP, PIM, marketing automation, search, payment gateways). • Oversee performance optimization, caching strategies, scalability, and security across solutions. • Collaborate with clients, project managers, and stakeholders to align technical solutions with business goals. • Support pre-sales activities, including solution estimation, proposals, and technical demonstrations. • Stay current with the Optimizely roadmap, feature releases, experimentation, and personalization capabilities. • Design and integrate Optimizely Opal (AI agents and assistants) into solutions to automate content workflows, power experimentation, and deliver intelligent customer experiences.