Software Engineer, Product
Sazabi - San Francisco | OnSite | New York City | United States
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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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
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
Application
- Cover letter
- Not verified
- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Product San Francisco | OnSite | New York City | United States WHAT WE'RE BUILDING In 2026, we're on the verge of an "infinite software crisis." How will we support, maintain, and operate the explosion in application development? Our answer is Sazabi: the AI-native observability platform for fast-moving engineering teams. Sazabi gives teams a single place to ask questions about their production systems in plain language, automatically visualize what's happening, and get to the root cause 10x faster. No tedious instrumentation. No dashboard configuration. No alert tuning. Just answers. We're backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more. WHAT YOU'LL DO - Build the interface layer of an AI-native product: chat threads and streaming responses to dynamic visualizations that render themselves based on what you asked - Implement real-time multiplayer features so teammates can investigate incidents together, live - Craft data-dense UI components that make complex log data, error clusters, and timeseries feel simple and fast - Own the full slice: you'll touch the API, database queries, and React components to ship a feature end-to-end - Push the performance of a highly interactive application: streaming, virtualized log lists, live-updating charts - Build and extend our Slack integration as a first-class interface alongside the web app - Help define what great developer tooling looks like in an AI-first world, and set the bar for how we build it - Work directly with the founder to take new feature concepts
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