About Workato

Workato delivers enterprise infrastructure for the agentic era redefining iPaaS and helping enterprises unify data applications processes and AI into a single governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500 Workatos cloud-native architecture connects every application data source and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more visit

Why join us

Ultimately Workato believes in fostering a flexible trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley please submit an application. We look forward to getting to know you!

Also feel free to check out why:

• Business Insider named us an enterprise startup to bet your career on

• Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America

• Quartz ranked us the #1 best company for remote workers

Responsibilities

We are seeking a product-minded Staff Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workatos ecosystem in the age of AI. You will collaborate closely with product engineering and developer relations teams to deliver robust scalable and intuitive services. This role requires a high technical bar plus an emphasis on developer ergonomics so we can deliver a delightful developer experience.

• Design build and maintain robust scalable and high-quality developer-facing products and APIs for LLM and Agentic application development.

• Collaborate closely with product managers designers developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions.

• Write clean maintainable and well-tested code and contribute to a high standard of engineering excellence within the team.

• Implement and improve validation monitoring and observability for ML services within the sandbox environment.

• Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.

• Continuously evaluate and optimize existing implementations for performance scalability and developer usability.

• Identify and resolve bottlenecks bugs and technical challenges in a fast-paced iterative environment.

• Conduct code reviews and mentor team members to uphold high engineering standards.

• Stay at the cutting edge of AI LLMs and developer tooling bringing new ideas and technologies to the team.

• This role is on-site in our San Francisco Office.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors or Masters degree in Computer Science Engineering Information Systems or equivalent industry experience.

• 8 years of experience of professional software development experience with a proven track record of shipping high-quality products.

• You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience.

• You have experience building developer-facing products APIs SDKs or CLIs.

• You are proficient in one or more modern programming languages such as Go Python Ruby or JavaScript and hands-on experience with LLM models.

• Proven track record of deploying and maintaining ML services in production environments is a strong plus.

• Solid understanding of API design developer tooling software architecture data structures and algorithms.

• LLMops/MLops experience is a strong plus especially in developer-facing products.

• Experience building or supporting developer platforms APIs or sandbox environments is highly desirable.

Soft Skills / Personal Characteristics

• Excellent written and verbal communication skills in English.

• Collaborative team player with a passion for empowering developers and improving developer experience.

• Adaptable proactive and creativecomfortable working in a dynamic startup-like environment.

• Strong problem-solving skills and a continuous improvement mindset.

Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences!

(REQ ID: 2710)