Senior Software Engineer, Guest Lifecycle & Loyalty

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of significant lifecycle initiatives from start to finish (from unclear objectives → design → construction → launch → refinement), covering guest experiences such as activation, reactivation, graduation, and loyalty.

• Develop dependable messaging and data pipelines that facilitate campaign execution (segmentation, scheduling, and send-time optimization) on a large scale across email, SMS, and push notifications.

• Enhance deliverability and compliance standards (domain warmup, provider policies, Twilio registration, throttling/guardrails), ensuring safe sending while maximizing reach and performance.

• Create a cycle for experimentation and measurement within the lifecycle: including holdouts, incremental lift, attribution quality, and analytics instrumentation that both product and marketing teams can rely on.

• Boost platform observability and operational excellence by implementing SLOs, dashboards, alerting mechanisms, and incident-ready runbooks for crucial business pipelines.

• Introduce AI-assisted functionalities that enhance the autonomy of lifecycle marketing (e.g., smarter targeting, creative generation, and adaptive campaign optimization), focusing on production-ready systems.

• Expand the team's capabilities through technical leadership: establish engineering standards, review design proposals, mentor engineers, and collaborate cross-functionally with Product, Data, Marketing, and other GPV Growth teams.

⛳️ Requirements

• Demonstrated technical leadership and a proactive approach.

• Established track record of steering multi-quarter, cross-functional projects from problem identification to achieving measurable results.

• Builder with a focus on AI advancements.

• Practical experience in deploying AI-assisted features or platform capabilities (LLMs, embeddings, ranking, or ML-adjacent systems), along with a pragmatic mindset towards evaluation, safety, and iteration.

• Strong commitment to end-to-end ownership.

• Capability to progress projects from ambiguous problem statements through design, execution, and production support.

• Product-oriented engineering judgment.

• Skilled at making trade-offs that balance speed, quality, and long-term platform advantages in a dynamic environment.

• Excellent communication and collaboration skills.

• Ability to align stakeholders and influence decisions across teams without direct authority.

• Strong focus on data and experimentation.

• Comfortable defining success metrics, conducting controlled experiments/holdouts, and troubleshooting performance variations across complex funnels.

🏝️ Benefits

• Comprehensive health coverage

• Work from anywhere (remote-first workplace)

• Unlimited PTO

• Plus extra fun perks!