Software Engineer - Partner Platform
- Toronto, ON, Canada
$165,000 to $330,000 USD / year · Full-time
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Job details
- Pay
- $165,000 to $330,000 USD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
About Baseten
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use.
Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds.
As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use.
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten.
What You'll Build
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $165K - $330K
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use.
Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds.
As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use.
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten.
What You'll Build
- Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting.
- Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure.
- Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing.
- Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time.
- Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation.
- Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions.
- Write substantial production code and own the systems you build.
- Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities.
- Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs.
- Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments.
- Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling.
- Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow.
- Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale.
- A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself.
- Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on.
- Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision.
- Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries.
- Product integrations with cloud providers, developer platforms, or other infrastructure companies.
- Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties.
- Model serving or other artificial intelligence (AI) infrastructure used in production.
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Compensation Range: $165K - $330K
More about this job
Responsibilities
Lead strategic partner integrations from discovery and architecture through implementation, launch, and ongoing production operation, collaborating directly with partner engineering teams. Build reusable platform capabilities for identity, provisioning, inference, model serving, metering, and billing while ensuring reliable APIs and coordinating delivery across teams.
Requirements
Candidates should have experience designing, shipping, and operating large-scale distributed systems, along with a record of leading ambiguous cross-team projects while contributing substantial production code. They should demonstrate sound judgment in API design, service boundaries, failure handling, and service-level objectives, and be comfortable translating stakeholder needs into technical scope and debugging across application and cloud infrastructure.
Skills
- Distributed Systems
- Production Engineering
- Partner Integrations
- API Design
- System Architecture
- Cross-Functional Project Leadership
- Production Coding
- Cloud Infrastructure
- Service-Level Objectives
- Failure Handling
- Observability
- Testing
- Safe Rollouts
- Usage Metering
- Billing Systems
- Model Serving
Benefits
- Competitive Compensation
- Equity
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Flexible Paid Time Off
- Company-Wide Winter Break
- Paid Parental Leave
- Fertility And Family-Building Stipend
- 401(k)
- Learning And Networking Opportunities
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Artificial Intelligence
- Inference Platform
- Partner Engineering
- Distributed Systems
- API Design
- Cloud Infrastructure
- Hyperscalers
- Cloud Marketplaces
- Developer Platforms
- Model Labs
- Model Serving
- Identity Management
- Provisioning
- Usage Attribution
- Usage Metering
- Billing
- Revenue Sharing
- Observability
- Service-Level Objectives
- API Contracts
- Integration Testing
- Failure Handling
- Safe Rollouts
- Production Operations
- Cross-Company Dependencies
- System Architecture
- Search Providers
- Developer Tools
- Commercial Agreements
- Inference Infrastructure