ABOUT WORKATO

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

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. That’s 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

QUALIFICATIONS / EXPERIENCE / TECHNICAL SKILLS

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
• 5+ years of experience as an ML Engineer, Data Scientist, or similar role.
• Strong Python programming skills and hands-on experience with NLP and LLM models.
• Proven track record of deploying and maintaining ML services in production environments.
• Solid understanding of network protocols, API design, and developer tooling.
• Experience with relational and non-relational databases.
• 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 creative—comfortable working in a dynamic, startup-like environment.
• Strong problem-solving skills and a continuous improvement mindset.
  The salary range for this role is dependent on experience and ranges from $170,000 to >$250,000. We also provide stock options to all employees and generous benefits.

We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. 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 enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models.
• Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation.
• 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.
• Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences.
• 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.