Brief description
This is a back-end, data-infra-heavy staff role for a company building agentic AI to interact with enterprise data. For example, their AI might reconfigure infrastructure or optimize SQL queries on the fly to reduce cloud costs. They are still a relatively small startup, but the fact that they're working with high-scale, high-reliability applications for enterprise customers means they tend to skew more towards robust engineering (as opposed to "ship an MVP ASAP" than typical startups do.
The actual job responsibilities focus on infrastructure, particularly data infrastructure. They're working at high scale with potentially very complex schemas, and need to be able to handle it efficiently and reliably. They focus on SQL in particular (query optimization, data lineage, that kind of thing), so deep familiarity with SQL internals is a big plus.
Culturally, they're more straight-laced and business-oriented than most startups. They have a very large amount of runway (4-5 years), a team with strong academic backgrounds (MIT, CMU), and a technical founder that was a founding member of WalmartLabs.
This role is hybrid in-office in Sunnyvale, CA (in the southern portion of the San Francisco Bay Area).
What they're looking for
[Required]
8+ years of total experience
3+ years of that with Python
Experience with high-scale infrastructure. This a leadership role, and you need to be able to be opinionated about the arch, not just configure it.
[Nice-to-have]
Deep background with SQL (query profiling, optimization, ASTs/parsers)
Familiar with FastAPI
General familiarity with modern AI / LLMs
What they're offering
Salary: 150k-220k
Equity: low to moderate (<=0.6%)
Stability (4-5y resume, enterprise client base)
A focus on robust code (rare for startups)
Open-source contributions
Brief description
This is a back-end, data-infra-heavy staff role for a company building agentic AI to interact with enterprise data. For example, their AI might reconfigure infrastructure or optimize SQL queries on the fly to reduce cloud costs. They are still a relatively small startup, but the fact that they're working with high-scale, high-reliability applications for enterprise customers means they tend to skew more towards robust engineering (as opposed to "ship an MVP ASAP" than typical startups do.
The actual job responsibilities focus on infrastructure, particularly data infrastructure. They're working at high scale with potentially very complex schemas, and need to be able to handle it efficiently and reliably. They focus on SQL in particular (query optimization, data lineage, that kind of thing), so deep familiarity with SQL internals is a big plus.
Culturally, they're more straight-laced and business-oriented than most startups. They have a very large amount of runway (4-5 years), a team with strong academic backgrounds (MIT, CMU), and a technical founder that was a founding member of WalmartLabs.
This role is hybrid in-office in Sunnyvale, CA (in the southern portion of the San Francisco Bay Area).
What they're looking for
[Required]
8+ years of total experience
3+ years of that with Python
Experience with high-scale infrastructure. This a leadership role, and you need to be able to be opinionated about the arch, not just configure it.
[Nice-to-have]
Deep background with SQL (query profiling, optimization, ASTs/parsers)
Familiar with FastAPI
General familiarity with modern AI / LLMs
What they're offering
Salary: 150k-220k
Equity: low to moderate (<=0.6%)
Stability (4-5y resume, enterprise client base)
A focus on robust code (rare for startups)
Open-source contributions
