MMA (Marketing Management Analytics) is seeking a Senior Software Engineer specialized in AI-Native Development. The role involves owning the development of features across the stack using modern AWS tools and AI coding resources, while collaborating with US-based teams to enhance productivity and maintain high standards in engineering practices.
Responsibilities:
- Design, build, and ship production features across the stack, owning your work from design through deployment and operation
- Use AI development tools (Copilot, Cursor, Claude, and similar) fluently to accelerate delivery — scaffolding, refactoring, testing, and debugging at high velocity
- Build and run services on AWS — primarily ECS, Batch, and Bedrock — taking real responsibility for reliability, performance, and cost of what you ship
- Work across our stack in TypeScript, .NET, and Python, with infrastructure managed as code in Terraform
- Collaborate closely with US engineering and product partners across time zones, communicating clearly in writing and keeping work visible
- Contribute to the engineering standards, practices, and culture of a brand-new team — your habits set the bar for who comes next
Requirements:
- 4–7 years of professional software engineering experience building and shipping production systems
- Demonstrated, hands-on experience with AI coding tools and a track record of using them to materially increase output — we'll want to hear specifics about how you work
- Strong AWS experience — comfortable designing, deploying, and operating services on the AWS stack, with hands-on exposure to container and batch workloads (ECS, Batch) and infrastructure-as-code (Terraform)
- Proficiency in one or more of TypeScript, .NET, or Python, with the adaptability to work across all three
- Proven ability to thrive in a fast-paced environment where priorities move and you own outcomes, not just tickets
- Solid fundamentals in system/API design, testing, and CI/CD
- Strong written English and the self-direction to work effectively with a remote, US-based team
- Experience as an early engineer on a new team, product, or site
- Hands-on work with AWS Bedrock or other LLM/GenAI services in production
- Experience in marketing measurement and optimization — marketing mix modeling, attribution, media/marketing analytics — or adjacent analytic fields such as data science platforms, experimentation, or large-scale data processing
- Familiarity with building data- or analytics-intensive applications