Senior Software Engineer (Product-Led Growth)

Join the Product-Led Growth team at Toast, where you'll build in-product experiences that help restaurants discover, try, buy, and adopt our products. As a Senior Software Engineer, you'll drive end-to-end development of backend services, build shared infrastructure, and design experimentation and attribution instrumentation. You'll work closely with product, marketing, sales operations, and data science to turn hypotheses about customer behavior into targeted in-product experiences.

• Conduire le développement de bout en bout des services backend qui alimentent les expériences de croissance dans le produit, y compris l'éligibilité, le ciblage, la livraison des offres, l'achat en libre-service, l'activation et le suivi des conversions.
• Construire l'infrastructure partagée qui rend chaque expérience moins coûteuse que la précédente, y compris les services de ciblage et d'éligibilité réutilisables, la configuration des campagnes et un flux d'achat que les nouvelles offres peuvent intégrer.
• Collaborer avec les équipes produit, marketing, ventes et science des données pour traduire les objectifs commerciaux en changements de produit concrets et testables.

• 5+ years of software engineering experience building and maintaining production backend systems in Kotlin, Java, or another object-oriented language, with enough full-stack experience to ship web or native front-end changes when needed
• Proficient with AI tooling such as Claude, Cursor, and MCP servers
• Product-minded builder who is comfortable making product calls, launching, and iterating on what customers actually do, working across PM, design, and sales rather than executing tickets
• Comfortable with ambiguity and with making tradeoffs between speed and scale
• Proven ability to own features end-to-end through design, launch, measurement, and iteration
• Experience building customer-facing features on top of data products such as scores, segments, or recommendations is a plus
• Experience with experimentation, A/B testing, or growth engineering, and a working understanding of attribution: you can explain why a metric moved and whether to believe it
• Experience building on LLMs or AI platforms, in production or in side projects. Interest in agents and tool use is a bonus