Software Development Engineer, Amazon Marketing Cloud Assistant
Amazon - Boulder, Colorado, USA
Posted Jun 11, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $144K-$194K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
45% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Jun 21, 2026 From the posting source checked Jun 20, 2026
Where they hire
State eligibility is not yet verified.
About this role
Software Development Engineer, Amazon Marketing Cloud Assistant Boulder, Colorado, USA Application deadline: Jun 16, 2026 Build the AI-powered conversational agent that's transforming how advertisers interact with their data-replacing SQL queries and complex UIs with natural language that simply works. You'll work at the intersection of large language models, distributed systems, and petabyte-scale advertising data, shipping a high-visibility product at the forefront of generative AI in advertising. We're looking for a Software Development Engineer II who is excited to solve hard, novel problems: natural language understanding, data accuracy at scale, agent evaluation, and translating complex analytical workflows into intuitive AI-driven experiences. In this role, you will: - Design and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud - Own end-to-end delivery of features-from system design through production deployment and operational excellence - Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources - Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI This is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon. Who We're Looking For We seek someone with a strong coding foundation and experience building distributed systems at scale-someone energized by ambiguity and fast-moving problem spaces. Ideal candidates bring curiosity about LLM-based applications and a track record of delivering customer-facing products end to end. Experience with advertising technology, analytics platforms, or AWS services is a
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