Baseten

Software Engineer - Billing and Internal Tooling

Baseten
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7 months ago
San Francisco, CA, USA or New York, NY, USASenior
H1B sponsor

Base Salary

$165k - $330k/yr

Responsibilities

  • Own end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations
  • Build and evolve the billing platform and integrations, including Orb, with correctness and auditability
  • Partner with Finance, Sales, GTM, and Forward Deployed Engineering on internal tooling and automation for quoting, approvals, renewals, usage reconciliation, and revenue reporting
  • Design systems that scale with new products, packaging, and go-to-market motions
  • Drive monitoring, alerting, incident response, backfills, and runbooks for revenue-critical workflows
  • Lead high-impact projects from requirements clarification and technical approach through iterative delivery
  • Debug and resolve production issues and implement durable fixes

Requirements

  • Bachelor's degree or higher in Computer Science or a related field
  • Experience with billing systems or building internal tools
  • Deep knowledge of the web stack and databases
  • Strong collaboration and communication skills

Benefits

  • 100% coverage of medical, dental, and vision insurance for employees and dependents
  • Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups for learning and networking

Categories

Baseten

About Baseten

201-500 employees

Baseten builds an AI inference platform that provides tooling, infrastructure, and hardware to deploy, scale, and serve machine-learning models in production. The company sells managed model serving and developer tooling to software teams at AI product companies, with customers including Notion, Abridge, Writer, and Cursor. Privately held and headquartered in San Francisco, it focuses on high-availability, globally distributed inference for production workloads.

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