Senior Software Engineer, Guest Lifecycle & Loyalty

Jobtailor; Deutschland; Vor Ort; EUR 110.000 - 170.000; Vollzeit

Zusammenfassung

Jobtailor is looking for an AI‑driven engineering leader to own lifecycle initiatives end‑to‑end, from problem framing to design, build, launch and iteration, impacting activation, reactivation, graduation and loyalty.

You will build data pipelines for campaign execution across email, SMS, and push, raise deliverability standards, and establish an experimentation and observability loop with dashboards and runbooks.

Qualifikationen

• Proven ability to drive multi-quarter, cross-functional initiatives from problem framing through measurable outcomes.
• Hands-on experience shipping AI-assisted features or platform capabilities.
• Strong end-to-end ownership and product-minded engineering judgment.
• Able to align stakeholders and influence decisions across teams without authority.
• Excellent communication and collaboration across Product, Data, Marketing, and Growth teams.
• Comfort defining success metrics and running controlled experiments.
• Experience with experimentation design, holdouts, and attribution quality.
• Data-driven decision making and observability mindset.
• Ability to balance speed, quality, and long-term platform leverage.

Aufgaben

• Own high‑impact lifecycle initiatives end-to-end (from ambiguous goal to design to build to launch to iteration), spanning guest journeys like activation, reactivation, graduation, and loyalty.
• Build reliable messaging and data pipelines that power campaign execution (segmentation, scheduling, send-time optimization) across email/SMS/push at scale.
• Raise the bar on deliverability and compliance (domain warmup, provider policies, Twilio registration, throttling/guardrails), ensuring we can send safely while maximizing reach and performance.
• Establish an experimentation and measurement loop for lifecycle: holdouts, incremental lift, attribution quality, and analytics instrumentation that product and marketing can trust.
• Improve platform observability and operational excellence with SLOs, dashboards, alerting, and incident-ready runbooks for business‑critical pipelines.
• Ship AI‑assisted capabilities that make lifecycle marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production‑ready systems.
• Multiply the team through technical leadership: set engineering standards, review designs, mentor engineers, and partner cross‑functionally with Product, Data, Marketing, and other GPV Growth teams.

Kenntnisse

AI leadership

Cross-functional delivery

End-to-end ownership

Communication

Data experimentation

Product-minded eng

Stakeholder alignment

Problem framing

Tools

LLMs

Embeddings

ML platforms

Jobbeschreibung

Responsibilities

• Own high-impact lifecycle initiatives end-to-end (from ambiguous goal to design to build to launch to iteration), spanning guest journeys like activation, reactivation, graduation, and loyalty.
• Build reliable messaging and data pipelines that power campaign execution (segmentation, scheduling, send-time optimization) across email/SMS/push at scale.
• Raise the bar on deliverability and compliance (domain warmup, provider policies, Twilio registration, throttling/guardrails), ensuring we can send safely while maximizing reach and performance.
• Establish an experimentation and measurement loop for lifecycle: holdouts, incremental lift, attribution quality, and analytics instrumentation that product and marketing can trust.
• Improve platform observability and operational excellence with SLOs, dashboards, alerting, and incident-ready runbooks for business‑critical pipelines.
• Ship AI‑assisted capabilities that make lifecycle marketing more autonomous (e.g., smarter targeting, creative generation, and adaptive campaign optimization), with a bias toward production‑ready systems.
• Multiply the team through technical leadership: set engineering standards, review designs, mentor engineers, and partner cross‑functionally with Product, Data, Marketing, and other GPV Growth teams.

Requirements

• Strong technical leadership and action bias.
• Proven ability to drive multi‑quarter, cross‑functional initiatives from problem framing through measurable outcomes.
• AI‑leaning builder.
• Hands‑on experience shipping AI‑assisted features or platform capabilities (LLMs, embeddings, ranking, or ML‑adjacent systems), and a pragmatic approach to evaluation, safety, and iteration.
• Strong end‑to‑end ownership.
• Ability to take projects from vague problem statements through design, implementation, and production support.
• Product‑oriented engineering judgment.
• Able to make tradeoffs that balance speed, quality, and long‑term platform leverage in a fast‑moving environment.
• Strong communication and collaboration.
• Ability to align stakeholders and influence decisions across teams without authority.
• Data & experimentation rigor.
• Comfort defining success metrics, running controlled experiments/holdouts, and debugging performance changes across complex funnels.