thinkingmachines
Software Engineer, Platform, Tinker
At a Glance
- Location
- San Francisco
- Experience
- 4+ years
- Compensation
- ry range for this position is $350,000 - $475,000 USD. Visa sponsorship: We spo
- Posted
- 2026-04-27T18:13:28-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Finance
Benefits & Perks
sion benefits, unlimited PTO, paid parental leave, and rel
Requirements
Proficiency in at least one backend language (we use Python or Rust).
Experience with at least one of: billing/payments infrastructure, identity and access control (RBAC/ABAC, OAuth, SAML), or multi-tenant platform systems.
Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
4+ years building backend systems in production.
Experience building billing or metering systems at scale (Metronome pipelines, usage-based pricing, invoicing pipelines).
Familiarity with enterprise-readiness patterns: SSO/SCIM provisioning, audit trails, data residency, custom contracts, role hierarchies.
Responsibilities
We're looking for a software engineer to own the platform systems that enable Tinker — billing and usage metering, permissions and access control, organizations and teams, data exports, audit logging, and the admin surfaces that tie them together.
This role partners with everyone from product to legal, as every new feature, pricing change, and enterprise deal flows through your work.
Design the authorization layer across all products: RBAC, API key scoping, organization hierarchies, and permission boundaries.
Own billing infrastructure end to end, including usage metering and aggregation, plan management, payment processing, invoicing, and revenue recognition support.
Implement data export and deletion pipelines that meet enterprise compliance and data residency requirements.
Build audit logging so customers and internal teams have clear visibility into who did what, when.
About the Company
Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.