Software Engineer, AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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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

U.S. benchmark only; posted salary is not compared across countries or currencies.

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

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, AI San Francisco, California, USA It's not sufficient for Convex to be the best platform for agentic development, it also has to be the best platform for building agentic applications too, all while maintaining strong architectural principles that lead to applications that stay simple, correct, and secure over time. Architecting this platform is still the domain of very talented humans, and we want you to be one of them. The Team: Convex has assembled a team of engineers who have built and designed some of the largest backends in the world, with exabytes of data, millions of transactions per second, and shipped desktop and mobile software onto billions of devices. We are a group of friendly, collaborative, and passionate people that love working in-person together in our office in San Francisco. We hire primarily in SF but have a few experienced folks working remotely in certain situations. The Role: We have a lot of work to do. The projects involve range from small ergonomic tweaks to make agentic development seamless, large structural changes like branching and automatic performance optimization of Convex projects, and keeping on top of and ahead of technological shifts in the industry. The ideal candidate would be an excellent engineer with the good taste to invest in developing composable APIs and abstractions while also being high energy and enthusiastic about working on a broad product surface area. If you're a former founder, an engineer straddling both product and infrastructure, or a junior engineer excited to

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