Thinking Machines Lab

3 months ago

Software Engineer, Platform, Tinker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and own platform-level systems for Tinker, including billing, usage metering, access control, orgs/teams, data exports, audit logging, and admin surfaces. Collaborate across product, legal, and enterprise teams to implement features, pricing changes, and contracts, enabling scalable multi-tenant backend infrastructure for AI tooling.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.
•Build and evolve the organizations and teams model: seat management, SSO/SAML, workspace isolation, and invite flows.
•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.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveParental Leave

Key Requirements

•Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
•Proficiency in at least one backend language (Python or Rust).
•Experience with billing/payments infrastructure, identity and access control (RBAC/ABAC, OAuth, SAML), or multi-tenant platform systems.
• Thrive in a highly collaborative environment with cross-functional partners and subject matter experts.
•Bias for action with initiative to work across stacks and teams to ship features.

Experience:AIMLDeveloper tools

Education:Bachelor's

Languages:English

Tech Stack:PythonRustRBACOAuthSAMLSSOMulti-tenantBillingData-exportAudit-loggingSSO/SAML

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website

Loading job details...

Preparing the role view and application actions.

Thinking Machines Lab

3 months ago

Software Engineer, Platform, Tinker

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.
•Build and evolve the organizations and teams model: seat management, SSO/SAML, workspace isolation, and invite flows.
•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.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveParental Leave

Key Requirements

•Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
•Proficiency in at least one backend language (Python or Rust).
•Experience with billing/payments infrastructure, identity and access control (RBAC/ABAC, OAuth, SAML), or multi-tenant platform systems.
• Thrive in a highly collaborative environment with cross-functional partners and subject matter experts.
•Bias for action with initiative to work across stacks and teams to ship features.

Experience:AIMLDeveloper tools

Education:Bachelor's

Languages:English

Tech Stack:PythonRustRBACOAuthSAMLSSOMulti-tenantBillingData-exportAudit-loggingSSO/SAML

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website