Senior Marketing Automation Engineer (all genders
Verfasst am 2026-08-14
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Software Entwicklung
Full Stack Entwickler, Künstliche Intelligenz Ingenieur, Python
The role
In this role you will join the X-Channel Automation team, a cross-functional team embedded within Performance Marketing whose mission is to enable the Paid Marketing department to achieve its maximum potential by integrating the newest AI-driven technologies and automation into their processes, removing operational friction.
Because the team sits outside the tech tribe and operates without a dedicated product layer, the Senior Marketing Automation Engineer owns the full problem space: translating a marketer's brief into a scoped technical solution, architecting and building it, and shipping it to production. You will be developing tools and technologies for an internal group of 100+ people across Performance Marketing, Partnerships, and Retail.
As a Senior, you are a credible technical voice who works with a high degree of autonomy - leading projects from broadly defined outcomes, challenging the technical output of peers, and mentoring more junior engineers. You are equally comfortable holding a conversation with a marketer about their workflow pain points as you are architecting a backend service.
What you'll do- Lead the end-to-end delivery of complex automation and AI projects - from requirement gathering with non-technical stakeholders through design, build, and production release - owning scope and timeline independently
- Act as the primary technical point of contact for Paid Marketing stakeholders, independently translating business problems into clearly scoped technical requirements without a product layer
- Architect and build AI-integrated workflows that reduce manual effort across marketing teams, contributing directly to team KPIs including hours saved and AI adoption rate
- Develop scalable, maintainable solutions in Python and JavaScript/Type Script, including backend services, automation scripts, and front-end reporting interfaces
- Design and implement integrations with marketing platforms (Google Ads, Meta, Tik Tok, and others) using RESTful APIs, webhooks, and OAuth2
- Build dynamic ad feeds and campaign-launch technologies that empower marketers to activate campaigns faster and at greater scale
- Set up and maintain monitoring and alerting systems to ensure operational stability across marketing tools, enabling proactive issue resolution
- Define and drive development standards and best practices within the team, challenging peers’ technical output constructively and creating an enabling environment for more junior engineers
- Mentor engineers at earlier career steps, providing technical guidance and feedback
- Participate in sprint refinement - evaluating incoming requests against team scope, applying RICE scoring, and engaging requestors to close requirements gaps before work begins
- Proactively evaluate emerging automation and AI tooling, staying ahead of industry trends and introducing best practices to the team
- 4+ years of experience in Software Engineering and the ability to design, implement, and deliver maintainable, high-quality solutions end-to-end with a high degree of autonomy
- Strong full-stack proficiency in Python and JavaScript/Type Script, including relevant frameworks (e.g. FastAPI, Node.js, React or equivalent)
- Solid experience with cloud platforms (AWS preferred), CI/CD pipelines (e.g. Git Hub Actions), and containerisation
- Demonstrated ability to gather requirements independently from non-technical stakeholders, translate them into scoped deliverables, and manage expectations throughout
- A credible communicator who tailors language and framing to both technical and non-technical audiences - essential in a role without a product layer
- Proactive, autonomous, and solution-oriented: you can work from broadly defined outcomes, define your own scope and timeline, and surface blockers early without needing frequent direction
- Data-driven approach to prioritisation and decision-making, comfortable with frameworks such as RICE scoring and impact estimation
- Experience with marketing APIs (Google Ads, Meta, Tik Tok, etc.)
- Working knowledge of SQL and data tooling (e.g. Snowflake, Big Query)
- Experience mentoring or technically guiding more junior engineers
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