Senior Developer, Partnerships Engineering

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

The Partnership Engineering team owns the engineering surface area required to make external partnerships and integrations successful from early Strategic Partnerships discussions through GA launch. We provide technical validation, build shared integration infrastructure, and enable scalable, repeatable integrations through strong documentation, tooling, and direct partner engagement.

This team sits at the intersection of product, platform, and external partners. We work across new platform systems, Developer Platform capabilities, browser integrations, and SDK surfaces to ensure integrations are secure, extensible, and built to last.

As a Senior Developer on Partnership Engineering, you’ll design and build the integration patterns, components, and tooling that power high-impact external partnerships. You’ll work directly with partners during active integrations, contribute to shared infrastructure, and help turn one-off deals into reusable capabilities.

This is a senior individual contributor role with broad scope. You’ll operate independently, shape technical direction within integrations, and influence platform evolution based on real-world partner needs.

How we’re using AI today

Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.

This is a remote opportunity within Canada and the US.

What we're looking for:

Strong backend or full-stack engineering experience building APIs, SDKs, platform capabilities, and integrations with AI-native technologies (LLM APIs, agent frameworks, embeddings, or retrieval systems)

A track record of delivering complex integrations across organizational boundaries

Comfort engaging directly with external technical stakeholders and representing engineering decisions clearly

Experience designing secure systems, including authentication, authorization, and policy-driven access models

Ability to reason about partner architectures and translate them into pragmatic integration designs

Clear technical writing and documentation skills

Strong ownership mindset you drive work forward without waiting for perfect clarity

Sound judgment on when to build reusable infrastructure versus solving a narrow partner need

Experience building or maintaining developer platforms or SDK ecosystems

Familiarity with browser integrations or extension architectures

Experience migrating systems to new platform primitives or security models

Hands-on experience integrating with external AI companies or AI-native technologies such as LLM APIs, agent frameworks, embeddings, or retrieval systems