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. You'll drive end-to-end development of backend services, build shared infrastructure, and create LLM-powered experiences. You'll also partner with various teams to translate business goals into testable product changes and mentor other engineers. Enjoy benefits like unlimited vacation, professional development reimbursement, and comprehensive health coverage.

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.

Experience building on LLMs or AI platforms, in production or in side projects. Interest in agents and tool use is a bonus

Responsibilities

• Construire l'infrastructure partagée qui rend la prochaine expérience moins coûteuse que la précédente, y compris les services de ciblage et d'éligibilité réutilisables, la configuration de la campagne et un flux d'achat qui permet aux nouvelles offres de s'intégrer plutôt que de se reconstruire.
• Collaborer avec les équipes produit, marketing, ventes et science des données pour traduire les objectifs commerciaux en changements de produit concrets et testables, et contribuer aux discussions sur la conception technique et l'architecture.
• Proficient with AI tooling such as Claude, Cursor, and MCP servers

Requirements

• 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
• 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