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What you will do
- Lead and grow an engineering team building vector, full-text, and hybrid search; develop engineers with depth in search algorithms, database internals, and distributed execution.
- Own the technical roadmap, sequencing algorithm evaluation, integration, performance qualification, and customer delivery into achievable milestones.
- Guide architecture for vector and text indexes, including choices among retrieval algorithms, memory and disk layouts, compression, and update strategies.
- Lead delivery of query planning and execution across partitions, including filter placement, candidate selection, ranking, and combining results.
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
USA, WA, Seattle – 184,900.00 - 250,200.00 USD annually
Software Development Manager, DynamoDB Vector Search
Amazon DynamoDB is looking for a Software Development Manager to lead a new initiative building native vector search, full-text search, and hybrid retrieval . You will lead engineers working at the intersection of distributed databases, information retrieval, and AI infrastructure, enabling customers to search their operational data without building and managing a separate search stack.
The technical decisions are substantial. How should vector indexes be organized across a changing, partitioned dataset? How do selective filters affect approximate nearest-neighbor retrieval? How should semantic and keyword results be combined? How do you deliver high recall and predictable tail latency while data is continuously inserted, updated, and deleted?
Your team will tackle these questions across the search stack—from index structures and storage integration to distributed query execution and relevance evaluation. The work includes evaluating graph-based and clustering-based indexing approaches, compression, caching, text analysis, and ranking. You will guide decisions about what to build, how to measure it, and how to evolve the architecture as customer workloads grow.
As the SDM, you will own the team’s roadmap, engineering execution, and operational readiness. You will work with senior and principal engineers to resolve architectural questions, establish measurable launch criteria, and turn exploration into production capabilities. You will hire and develop engineers, build technical leadership within the team, and create an environment where engineers can make decisions and carry them through to customer outcomes.
This is an opportunity to shape a new database capability from its foundational architecture through launch, helping developers build semantic discovery, recommendations, and retrieval for generative AI applications directly on DynamoDB.
Legal notes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Compared with similar jobs
This base pay is above the median for software engineering jobs in other US places with no level in the job title.
- Median
- $165K a year
- Other jobs in the group
- 2,924
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.