Senior Software Engineer (Product-Led Growth)

• The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need
• We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked
• This is measurable, revenue-attached work
• Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked
• We’re a small team with a large surface area, and we’re early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks
• You’ll ship experiments into production, read the results, and decide what comes next, and you’ll build the shared services that make each launch faster than the last
• You’ll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data
• Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes
• Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild
• Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and provisioning systems so a restaurant can complete a purchase inside the product
• Build LLM-powered experiences on Toast IQ, from prompt and tool design through evaluation and production monitoring
• Design experimentation and attribution instrumentation so every launch has a clear measurement story, and use production data to kill or scale experiences quickly
• Partner with product, design, marketing, sales, and data science to translate business goals like adoption and upsell targets into concrete, testable product changes
• Contribute to technical design and architecture discussions, and help set engineering standards for a team that is growing
• Mentor other engineers through code review, pairing, and technical guidance

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Mental Health Benefits
• Subsidized backup childcare

• 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