Senior/Staff Software Engineer (Data Intelligence)

• We’re hiring for a Senior or Staff Software Engineer to help lead our agile, fast-moving backend teams
• In this role, you’ll design and build scalable agentic systems, backend services and data-processing workflows that transform complex, unstructured customer data into reliable, structured outputs
• You’ll help shape the architecture of our APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving their reliability, observability, and performance
• Working closely with engineering, product, and customer-facing teams, you’ll translate ambiguous business needs into clear technical direction and lead foundational decisions that scale with the company
• This is a high-impact opportunity to shape the company’s technical strategy and make foundational decisions that will scale with us
• Design and evolve scalable AI powered systems that move, transform, and enrich data across products
• Partner with product, engineering, and customer-facing teams to translate business needs into scalable technical solutions
• Own the reliability and delivery of cloud-native services, including deployment, observability, scalability, and production support
• Mentor engineers and lead cross-team technical initiatives from architecture through production

Benefits

• Employee stock option program
• Health Savings Account (HSA)
• Unlimited paid time off (PTO)
• Relocation support
• Commuter benefits
• Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
• 12 weeks of paid parental leave (birthing parents)
• Daily lunch credit when you’re in the office (around $20/day)
• 401(k) plan with optional supplemental life, disability, and more- Experience deploying and operating containerized applications on a major cloud platform
• Experience designing distributed systems, asynchronous workflows, and reliable data-processing services
• Strong knowledge of data warehousing concepts
• 6+ years of professional software engineering experience, including building and operating production backend or data-intensive systems
• Experience with a growing company
• Experience specifically with GCP and Datadog
• Experience building production LLM systems, including multi-step, tool-using, or agentic workflows