Responsibilities

We are looking for a Staff Developer Advocate. In this role, you will be responsible to:

• Create sample projects, tutorials, videos, blog posts, and livestreams that demonstrate Workato’s developer capabilities.
• Inspire developers with interesting, relevant, and fun content that speaks to them and draws them in to the Workato ecosystem.
• Build and scale developer programs — including ambassador programs, webinar series, and community initiatives — that extend reach beyond first-party content.
• Speak at first party events, third party events, and developer meetups. Host workshops in the community and with internal customer communities.
• Develop and share a strong clear voice that the community trusts.
• Collect developer feedback and advocate for it internally.
• Own the technical sample and demo library — designing, building, and maintaining a body of work that covers key developer use cases, reflects current platform capabilities, and sets the quality bar for developer-facing technical content.
• Contribute code and docs to open‑source repos.

Requirements

Qualifications / Experience / Technical Skills

• 10+ years of combined software engineering and developer relations experience, with a track record of owning programs end-to-end.
• Proficient in Python or TypeScript and familiar with LangChain‑style frameworks.
• Strong demo and content‑creation skills including code samples, videos, and technical tutorials
• Demonstrated ability to connect developer advocacy work to business outcomes — pipeline, adoption, or product direction.

Soft Skills / Personal Characteristics

• Passionate and experienced teacher who loves helping others succeed.
• Clear communicator comfortable on stage or camera.
• Collaborative, low‑ego attitude.

(REQ ID: 2140)

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 Workato's 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

• Bachelor’s or Master’s 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 creative—comfortable 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)

Workato AI Lab

About Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.

We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

• LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

• Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

• High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:

• Conduct original research on LLM agent architectures and optimization techniques

• Develop and evaluate novel algorithms with both academic rigor and production feasibility

• Present your work at internal research seminars and external conferences

• Mentor and collaborate with LLM  engineers on implementation and deployment

Requirements

Qualifications / Experience / Technical Skills

• Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

• Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

• Strong programming skills in Python and PyTorch

• Ability to work in-person at our San Francisco office

• Ability to work independently and collaborate across research and engineering teams

Preferred:

• Experience with self-evolving agent systems

• Proficiency in CUDA programming and custom kernel development for LLM operations

• Background in reinforcement learning-based LLM fine-tuning 

• Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

• Experience bridging academic research with production systems

• Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

Responsibilities

We are seeking a product-minded Senior 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 Workato's 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.

 In this role, you will also be responsible to:

• 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.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.

• 5+ 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 creative—comfortable working in a dynamic, startup-like environment.

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

(REQ ID: 2428)

Responsibilities

We are seeking a product-minded 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 Workato's 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. You will also be responsible to:

• 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.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.

• 3+ 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 creative—comfortable working in a dynamic, startup-like environment.

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

(REQ ID: 2242)

Responsibilities

We are looking for an exceptional Senior Manager for our Developer Community build out. In this role, you will be responsible to:

• Build and run Workato’s global developer community programs: launch and scale hundreds of local developer user groups, a world‑class MVP / Champions program, and university & student outreach initiatives.

• Design and maintain the supporting systems, tooling, and analytics that power self‑service growth.

• Recruit, onboard, and mentor community leaders and champions, providing resources, recognition, and incentives to sustain long‑term engagement.

• Launch ambassador and champions programs; recognize and reward top contributors.

• Design and execute community strategy across Discord, GitHub, Reddit, X/Twitter, and in‑person meetups.

• Moderate online forums, surface insights, and route feedback to Product & Engineering.

• Build relationships within the San Francisco AI community and host events and activations in our SF hub. 

Requirements

Qualifications / Experience / Technical Skills

• Experience working in both a startup environment and matrixed organization. 

• 5 + years building and nurturing developer communities from zero to scale.

• 5 + years of hands‑on programmatic marketing, including segmentation, automation, and lifecycle campaigns.

• Direct, end‑to‑end experience planning and executing in‑person and virtual events

• Must be local to San Francisco and willing to operate in our San Francisco office

Soft Skills / Personal Characteristics

• Strong written voice and conflict‑resolution skills.

• Strong operational approach with metrics, structured processes, and holding teams accountable.

• Empathetic community builder who nurtures inclusive spaces.

For California applicants, the pay for this role begins at $186,000 plus variable, benefits, perks and equity.

(REQ ID: 2137)

We’re looking for a Staff Product Manager for Developer Platforms who doesn’t just ship features—but defines what should exist in the first place. This role owns the end-to-end experience for developers building on Workato: from first API call to production-scale agent systems.

This is not a roadmap execution role. You will define the platform strategy, make hard tradeoffs, and build a product that developers choose in a competitive market.

Responsibilities

We are seeking a strategic Staff Product Manager to lead our developer-facing products for LLM and Agentic applications. In this pivotal role, you will be the bridge between our developers, our business goals, and our engineering teams, driving the vision and execution of next-generation AI-powered automation and integration tools on the Workato platform.

You will be responsible for the entire product lifecycle, from identifying market opportunities and defining the product vision to working with engineering to deliver solutions that empower developers. This role requires someone who has successfully built and shipped developer products before, with a deep understanding of developer ergonomics and an instinct for what separates good developer tools from truly exceptional ones.

This is a critical role for someone with a proven track record in developer experience, a strong understanding of the AI landscape, and the ability to translate complex technical capabilities into tangible business value. You should know what great developer tools look and feel like because you've built them yourself. You will also be responsible to:

• Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products.

• Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success.

• Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback.

• Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications.

• Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision.

• Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling.

• Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders.

• Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement.

• Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value.

Requirements

Qualifications / Experience / Technical Skills

• 7+ years in product management, including owning a developer-facing product or platform end-to-end—from defining the vision to shipping and iterating
  
  
• Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution)
  
  
• Experience driving adoption with external developers, including improving key stages of the funnel: discover → try → activate → scale
  
  
• Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows
  
  
• Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs)
  
  
• Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions
  
  
• Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability)
• Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed

Nice to Have

• Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks like LangChain, LlamaIndex, or similar.

• Experience with integration, automation, or MLOps platforms.

• Active participation in developer communities through writing, speaking, or open-source contributions.

Soft Skills / Personal Characteristics

• You are a strategic thinker who can connect technology with business impact and craft a compelling product narrative.

• You have excellent leadership and communication skills, with the ability to influence and align cross-functional teams.

• You are comfortable with ambiguity and rapid iteration, thriving in fast-paced, innovative environments.

(REQ ID: 2249)

Responsibilities

We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

• Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration.

• Prototype and benchmark models; present findings internally and externally.

• Collaborate with Product & Engineering to ship research‑backed features.

• Contribute to open‑source repos and author technical blogs.

Requirements

Qualifications / Experience / Technical Skills

• MS/PhD in Computer Science, ML, or related field—or equivalent experience.

• Hands‑on with PyTorch/JAX and modern LLM frameworks.

• Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA.

Soft Skills / Personal Characteristics

• Curiosity‑driven and self‑directed.

• Ability to explain complex ideas to non‑experts.

• Team player who welcomes feedback and knowledge‑sharing.

(REQ ID: 2124)