Senior Software Engineer

About The Role As a Senior Full Stack Software Engineer on the Intelligence Pod, you’ll build and operate the integrations, data infrastructure, and MCPs (Model Context Protocol servers) that power AI agents across the marketing organization. You’re not building features for marketers to interact with directly — you’re building the plumbing that agents depend on: stable, performant access to enterprise marketing systems (Adobe Experience Manager, DAM, contact management, event management, analytics), with the right data governance, caching, and error handling baked in.

Your work spans building new MCPs against marketing systems, designing data access patterns that agents can rely on, maintaining and hardening integrations as they scale from pilot to production volume, and identifying opportunities to abstract patterns into reusable capabilities that multiple agents can safely consume. You’ll work closely with senior engineers and the Agent Pod (who consumes your integrations) to understand what agents need, validate your designs against real agent workflows, and iterate toward stable, eval-ready capability surfaces.

The role demands solid technical judgment: understanding API design from the agent perspective (what does an agent actually need to do its job?), how to handle the messy reality of enterprise systems (rate limits, inconsistent auth, data quality issues), and how to build infrastructure that stays reliable when demand changes. Success is measured by the stability and scale of integrations you ship, the reliability of data flowing through them, and how confidently agents can depend on what you build.

Who You Are

We’re optimizing for capability, curiosity, and collaboration over a specific tech stack. The tools change; the way you think and work with others doesn’t.

• You have a Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on work experience
• You are proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment
• You have 5+ years of software engineering experience building production systems
• You’re comfortable building backend systems and data infrastructure: you can design and implement REST/GraphQL APIs, understand how to connect systems together reliably, and know how to deploy and monitor services in cloud environments (AWS, GCP, or Azure)
• You have hands-on experience with C# or Java as your primary backend runtime and understand how to build services that handle high throughput, scale, and reliability
• You’ve integrated against external APIs in production — you understand OAuth/API key auth, rate limiting, pagination, error handling, retries, and the pain points of building against systems you don’t control
• You have experience building and consuming data APIs or working with structured data schemas; you think clearly about data flow and consistency
• You’re comfortable with relational databases (PostgreSQL, MySQL) and understand query performance and basic optimization; bonus points if you’ve worked with document stores or message queues
• You’ve worked on codebases with other engineers and understand the value of code review, testing, and incremental refactoring
• You can debug systematically — read logs, trace requests through systems, form hypotheses, and validate them — and you’re not afraid to dive into unfamiliar code to understand what’s happening
• You’re genuinely curious about how agents will consume the integrations and data you build — you ask questions to understand agent workflows, edge cases, and failure modes before they become production incidents
• You communicate clearly in writing — you can explain technical decisions in PRs, document tradeoffs, and ask clarifying questions without leaving teammates guessing
• You have a pragmatic bias toward shipping and iterating: you can tell the difference between a quick fix that unblocks progress and something that needs to be built right
• You’re energized by learning how complex enterprise systems (Adobe AEM, DAM platforms, marketing automation tools) work and translating their capabilities into clean, reliable APIs that agents can depend on
• You’re proactive, reliable, and take ownership of your work — you follow up on issues, communicate when things are blocked, and pitch in on the unglamorous work that needs to happen
• You make your coworkers feel included and genuinely want to lift …