April 24, 2026

Software Engineer - Developer Products (AI)

Mid • On-site

San Francisco, CA

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, Workato’s 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 www.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

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)

Similar jobs you might like

Technology

Workato

Staff Product Manager (Developer tools)

Senior

On-site

San Francisco, CA

🏢 Summary: Staff Product Manager for Developer Platforms responsible for defining and executing the strategy for AI and LLM-focused developer products, owning the end-to-end developer experience from APIs to production-scale agent systems. The role drives vision, roadmap, and adoption of developer tools, APIs, and extensibility frameworks, partnering closely with engineering to deliver scalable AI-powered automation solutions. Focused on developer ergonomics, platform scalability, and AI-driven workflows in a competitive market. 🗂️ Requirements: 7+ years in product management, Experience owning developer-facing products end-to-end, Experience building or managing APIs, SDKs, or CLIs, Experience driving external developer adoption, Ability to define product vision and roadmap for developer platforms, Experience collaborating closely with engineering on system design and scalability, Familiarity with AI/LLM or agent-based development workflows, Experience creating PRDs and technical specifications, Experience analyzing product metrics and adoption funnels 📃 Skills: APIs, SDKs, CLIs, LLM, AI, LangChain, LlamaIndex, MLOps, CI/CD, IDE, Agentic, Orchestration, Automation, Integration 🏢 Description: 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, Workato’s 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 www.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 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)

Technology

Workato

Staff AI Engineer

Senior

On-site

Palo Alto, CA

🏢 Summary: The role involves leading the design and optimization of intelligent search systems powered by machine learning to build advanced retrieval pipelines for an enterprise AI platform. You will develop query understanding, learning-to-rank models, entity recognition pipelines, and scalable search infrastructure to support real-time, large-scale data environments. The position focuses on improving search relevance through statistical and neural methods while influencing architecture and evaluation frameworks. 🗂️ Requirements: Bachelor’s/Master’s/PhD in Statistics, Mathematics, Computer Science or related quantitative field, 7+ years backend engineering experience, 3+ years experience in search or information retrieval, Strong proficiency in Python, Hands-on experience with OpenSearch or Elasticsearch, Strong knowledge of information retrieval methods (TF-IDF, BM25), Experience with neural search techniques and vector embeddings, Experience with NLP and text processing, Experience with relevance evaluation metrics (NDCG, MRR, MAP), Experience with large-scale distributed systems 📃 Skills: Python, OpenSearch, Elasticsearch, TF-IDF, BM25, NLP, NDCG, MRR, MAP, Embeddings, Transformers, KnowledgeGraphs, DistributedSystems 🏢 Description: 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, Workato’s 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 www.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 Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack Requirements Qualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

Technology

Workato

Staff Forward Deployed Engineer

Senior

On-site

Palo Alto, CA

🏢 Summary: Staff Forward Deployed Engineer responsible for designing and deploying advanced agent-based AI and RAG solutions using the Workato Agentic AI platform. The role focuses on building scalable, autonomous AI workflows, integrating enterprise systems, and delivering tailored AI-driven automation solutions for customers. It combines AI engineering, integration architecture, and hands-on development in complex enterprise environments. 🗂️ Requirements: BTech/BE or higher in Computer Science, AI, ML, or related field, 12+ years experience in design, development, and implementation, Minimum 1 year hands-on experience with Workato, Proven experience in AI engineering with agent-based systems, Experience designing and implementing scalable AI-driven workflows, Hands-on experience in integration projects and automation technologies, Strong knowledge of RESTful and SOAP/XML APIs, Strong understanding of JSON and data structures, Experience with RDBMS or NoSQL databases, Hands-on programming experience in Java or Python or Ruby 📃 Skills: Workato, AI, MachineLearning, LLM, RAG, APIs, REST, SOAP, JSON, RDBMS, NoSQL, Java, Python, Ruby, Microservices, SOA, ESB, BPM, RPA, iPaaS, SaaS, Cloud, TIBCO, MuleSoft, DellBoomi, Workday, NetSuite, Salesforce, ServiceNow, Marketo 🏢 Description: 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, Workato’s 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 www.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 Responsibilities We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams. Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 Startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider. In this role, you will also be responsible for: Implement agent-based AI solutions using the Workato Agentic AI platform Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs) Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform Continuously monitor and improve AI system performance, ensuring efficiency and reliability Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise Assist the Product Manager in creating technical and design specifications, ensuring alignment with product goals and user needs Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences Requirements Qualifications / Experience / Technical Skills BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field A total of 12+ years of relevant experience in design, development, and implementation, with at least 1 year of experience in Workato, is a must Proven experience in AI engineering, with a focus on agent-based systems Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL Hands-on experience with any of the following: Java, Python, or Ruby Technical background or a solid understanding of technology and industry trends, especially in the app integration space Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus Soft Skills / Personal Characteristics Strong collaboration skills, ability to adapt to a dynamic startup environment with a passion for making an impact Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset Ability to effectively prioritize tasks and manage time, even under high-pressure situations Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge (REQ ID: 2447)

Technology

Workato

Staff Product Manager (Build Experience - Agentic)

Senior

On-site

Palo Alto, CA

15,417 - 20,833 USD/yr

🏢 Summary: Staff Product Manager role owning the end-to-end builder experience for Agent Studio, enabling customers to create and iterate on AI agents within a unified platform. The position focuses on designing intuitive yet powerful interfaces that abstract complexity while supporting advanced AI capabilities. You will drive product strategy, lifecycle, and cross-functional execution for AI-driven builder tools. 🗂️ Requirements: 7+ years Product Management experience, Experience building builder/creator tools or workflow platforms, Experience simplifying complex, technical products through UX, Experience collaborating closely with design teams on interaction-heavy products, Familiarity with AI/ML concepts including RAG and prompting, Experience translating technical capabilities into intuitive interfaces, Experience with B2B software products, Bachelor's degree or equivalent experience 📃 Skills: ProductManagement, UX, AI, ML, RAG, Prompting, SaaS, B2B, LowCode, NoCode, IDE, Metrics 🏢 Description: 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, Workato’s 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 www.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 Responsibilities We're looking for a Staff Product Manager to own the build experience for Agent Studio — how customers create, configure, and iterate on AI agents within Workato. You'll own builder experience end-to-end. This role sits at the intersection of AI capabilities and builder usability - designing an experience where business technologists can build sophisticated AI agents without getting lost in complexity. You'll need to make hard calls about what to expose, what to abstract, and when to guide versus get out of the way. In this role, you will also be responsible to: Define, own and transform the entire experience where builders define agents and use them in recipes to achieve truly agentic experiences. Work closely with the PMs who own the recipe editor, knowledge base, and platform infrastructure to ensure the end-to-end builder journey is coherent. Spend significant time with customers understanding where they get stuck, what mental models they bring, and how you can bring delightful experiences at each stage in their journey Communicate the product strategy and requirements to key stakeholders Drive the product life cycle - ideation, design, prioritization, delivery, and adoption Bring teams together to define and implement product features Articulate product differentiation and value to internal and external stakeholders Define key metrics and measure the performance of features Requirements Qualifications / Experience / Technical Skills Strong product management experience, with meaningful time spent on products where the UX challenge was making something powerful feel approachable. You've worked on tools that serve users across a skill spectrum and had to decide how much complexity to expose at each level. Track record of translating technical capabilities into interfaces that feel intuitive without dumbing things down. You understand the difference between hiding complexity and organizing it — and you've shipped products that do the latter well. B2B software but aren't bound by B2B conventions. You look at enterprise tools and see opportunities where others see "that's just how it is." You're drawn to products like Figma, Linear, or Notion that prove complex workflows can still feel elegant. Familiarity with AI/ML concepts — enough to understand what builders are trying to accomplish and where current tooling falls short. You don't need to tune models yourself, but you should be able to have informed conversations about RAG, prompting, and evaluation approaches. 7+ years in Product Management Experience designing builder/creator tools, workflow products, or platforms where users construct rather than just consume Demonstrated ability to simplify complex products through thoughtful UX — portfolio examples or case studies welcome Experience working closely with design teams on interaction-heavy products Familiarity with AI product concepts Strong written and verbal communication skills Bachelor's degree or equivalent experience Nice to Have Background in design, or experience as a designer who transitioned to PM Experience with low-code/no-code platforms, IDE-like tools, or creative software Experience with products that serve both technical and less-technical users simultaneously Soft Skills / Personal Characteristics Strong written and verbal communication skills You're a strong communicator who can articulate design rationale to engineering, advocate for builder needs to leadership, and write clear product specs that don't leave interaction details to chance.For California applicants, the pay for this role may range between $185,000 - $250,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. (REQ ID: 2468)

Technology

Workato

Staff Product Manager (Enterprise & AI Governance)

Senior

On-site

Palo Alto, CA

14,167 - 19,167 USD/yr

🏢 Summary: Staff Product Manager role focused on building enterprise and AI governance capabilities for a leading orchestration platform. The position owns the roadmap for access control, compliance automation, and policy-driven governance to enable secure, large-scale AI-powered integrations. It drives centralized governance frameworks for Fortune 500 enterprises operating in multi-cloud and regulated environments. 🗂️ Requirements: 7+ years product management in enterprise B2B SaaS, 4+ years in governance, security, or identity management, Knowledge of RBAC and ABAC models, Knowledge of SAML, OAuth2, OIDC protocols, Experience with policy-as-code implementations, Understanding of ITIL, COBIT, NIST frameworks, Knowledge of SOC2, GDPR, HIPAA, SOX regulations, SQL proficiency, Understanding of AI governance principles, Experience with enterprise integration patterns 📃 Skills: RBAC, ABAC, SAML, OAuth2, OIDC, SQL, ITIL, COBIT, NIST, SOC2, GDPR, HIPAA, SOX, AI, SaaS, Governance, Compliance, IAM, Policy-as-code, Integrations 🏢 Description: 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, Workato’s 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 www.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 Responsibilities Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements. Enterprise Governance & AI Control Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security. Access Control & Identity Management Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance. Compliance Automation Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%. Success Metrics Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows. Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management. Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days. Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails. Requirements Qualifications / Experience / Technical Skills Essential Experience 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management. Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks. Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX). Experience with policy-as-code implementation and enterprise integration patterns. SQL proficiency for governance analytics and compliance reporting. AI & Modern Governance Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement. Knowledge of agentic AI systems and autonomous workflow governance challenges. Familiarity with emerging AI regulations and their impact on enterprise software platforms. Leadership & Execution Track record of shipping governance features that scaled to thousands of enterprise users. Experience collaborating with security teams, compliance officers, and IT administrators across global organizations. Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics. For California applicants, the pay for this role may range between $170,000 - $230,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. (REQ ID: 2248)

Technology

Workato

Senior Software Engineer (Search / Retrieval)

Senior

On-site

Palo Alto, CA

🏢 Summary: Senior Software Engineer (Search / Retrieval) role focused on designing and scaling intelligent search systems powered by machine learning. The position involves building end-to-end retrieval pipelines, deploying learning-to-rank models, and architecting scalable search infrastructure for large, dynamic document corpora. The engineer will drive relevance optimization, real-time indexing, and entity-aware search at enterprise scale. 🗂️ Requirements: Bachelor’s, Master’s or PhD in Computer Science, Mathematics, Statistics or related quantitative field, 7+ years of backend engineering experience, 3+ years of experience in search or information retrieval, Strong proficiency in Python, Hands-on experience with OpenSearch or Elasticsearch, Strong knowledge of information retrieval concepts (TF-IDF, BM25, neural search), Experience with text processing and NLP, Experience with relevance evaluation metrics (NDCG, MRR, MAP), Experience with large-scale distributed systems 📃 Skills: Python, OpenSearch, Elasticsearch, TF-IDF, BM25, NLP, NDCG, MRR, MAP, Embeddings, Transformers, DistributedSystems 🏢 Description: 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, Workato’s 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 www.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 Responsibilities We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to: Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback. Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval. Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing. Drive improvements in query construction, indexing and search performance Be up-to-date with the latest improvements in search and indexing technologies Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack. Requirements Qualifications / Experience / Technical Skills Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field. 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional team work Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2272)

Technology

Workato

Staff Product Manager (Build Experience - Platform)

Senior

On-site

Palo Alto, CA

15,000 - 20,000 USD/yr

🏢 Summary: Staff Product Manager role focused on defining and executing the strategy for advanced builder and authoring experiences within a low-code/no-code automation platform. The position drives innovation in AI-powered development assistance, debugging, and enterprise integration patterns to support complex workflow orchestration. It requires leading cross-functional teams to deliver intelligent, scalable, and user-centric developer tools. 🗂️ Requirements: 8+ years of product management experience in SaaS or B2B, Experience with developer tools or low-code/no-code platforms, Proven delivery of complex authoring or IDE experiences, Experience improving developer productivity metrics, Expertise in IDEs, code editors, or visual programming tools, Experience with version control and CI/CD practices, Hands-on experience with iPaaS or automation platforms, Strong understanding of API design and integration patterns, Experience with distributed systems and scalability, Experience integrating AI/ML into development tools, Understanding of NLP for code generation or intent recognition, Experience with A/B testing and feature experimentation, Bachelor’s degree in Computer Science, Engineering, HCI, or related field 📃 Skills: SaaS, B2B, IDE, CI/CD, APIs, iPaaS, Zapier, Mulesoft, Boomi, AI, ML, NLP, A/B, Analytics, DistributedSystems, VersionControl 🏢 Description: 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, Workato’s 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 www.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 Responsibilities As Staff Product Manager for Builder Experience, you will define and execute the strategy to deliver world-class authoring experiences that empower both technical and business users to create sophisticated automations efficiently. Your goal is to build intuitive, powerful, and intelligent builder tools that set the standard for low-code/no-code platforms while supporting advanced patterns for complex enterprise use cases. Enable Advanced Integration Patterns Support complex enterprise patterns including scatter-gather and asynchronous processing Build capabilities for multiple trigger configurations and conditional routing Deepen debugging capabilities such as mid-job reruns and viewing logs in loops Ensure the platform can handle sophisticated error handling and compensation patterns Drive innovation in how users visualize and manage complex workflow orchestrations Leadership in Builder Experience Innovation Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance Champion user-centric design principles to ensure the builder experience delights users at every skill level Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures Drive AI-Powered Development Assistance Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition Build smart error detection and resolution features that guide users to successful implementations Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns Partner with AI research teams to infuse intelligence throughout the authoring experience Build Comprehensive Development Tools Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations Implement robust design-time testing capabilities that reduce errors before deployment Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work Lead Cross-Functional Execution Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences Partner with Platform Experience PM to ensure consistency across the platform Work with customer success and support teams to understand pain points and iterate on solutions Act as the voice of the builder, advocating for developer and business user needs across the organization Requirements Leadership & Product Management 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms Proven success in shipping complex authoring experiences that balance simplicity with power Strong track record of improving developer productivity metrics and user satisfaction scores Experience leading cross-functional initiatives that require deep technical understanding and user empathy Builder & Developer Tools Expertise Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools Strong understanding of both low-code/no-code paradigms and traditional development workflows Experience with modern development practices including version control, CI/CD, and collaborative development Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders Familiarity with AI-assisted development tools and copilot technologies Technical Foundation Strong technical background with ability to understand complex integration patterns and distributed systems Experience with API design, data transformation, and enterprise integration patterns Understanding of performance optimization, scalability challenges, and enterprise-grade requirements Ability to work closely with engineering teams on technical architecture decisions AI & Intelligent Automation Experience integrating AI/ML capabilities into development tools to enhance productivity Understanding of natural language processing for intent recognition and code generation Familiarity with predictive analytics for error prevention and performance optimization Vision for how AI can transform the development experience without sacrificing control Customer-Centric Execution Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects Proven ability to translate complex technical concepts into intuitive user experiences Track record of using data, user research, and feedback to drive product decisions Experience balancing the needs of technical and non-technical users in a single platform Analytical & Data-Driven Decision Making Strong ability to define and track metrics that matter for developer productivity and satisfaction Experience with A/B testing, feature experimentation, and iterative improvement Ability to analyze usage patterns to identify opportunities for simplification and automation Data-driven approach to prioritization and roadmap planning Educational Background Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field An advanced degree is a plus but not required For California applicants, the pay for this role may range between $180,000 - $240,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. Job Req #2285

Technology

Workato

Senior Developer Advocate

Senior

On-site

San Francisco, CA

🏢 Summary: The offer is for a Senior Developer Advocate responsible for creating technical content and sample projects that showcase the platform’s developer capabilities. The role combines software engineering with community engagement, including public speaking, workshops, and open‑source contributions. It focuses on influencing product direction through developer feedback and high‑quality code examples. 🗂️ Requirements: 5+ years experience as Software Engineer or Developer Advocate, Proficiency in Python or TypeScript, Experience with LangChain-style frameworks, Ability to create technical content (code samples, tutorials, videos), Experience contributing to open-source projects, Experience speaking at technical events or meetups 📃 Skills: Python, TypeScript, LangChain, Git, Open-source, APIs 🏢 Description: 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, Workato’s 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 www.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 Responsibilities We are looking for a Senior 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. 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. Build compelling examples that influence Workato product and engineering direction. Contribute code and docs to open‑source repos. Requirements Qualifications / Experience / Technical Skills 5+ years as a software engineer or developer advocate. Proficient in Python or TypeScript and familiar with LangChain‑style frameworks. Strong demo and content‑creation skills including code samples, videos, and technical tutorials Soft Skills / Personal Characteristics Passionate teacher who loves helping others succeed. Clear communicator comfortable on stage or camera. Collaborative, low‑ego attitude. (REQ ID: 2140)

Technology

Superdevs

Fullstack Developer (Python & React)

Senior

Remote

140 - 160 PLN

🏢 Summary: Senior Engineer role focused on independently delivering MVP features and Proofs of Concept end-to-end on an existing large-scale SaaS and data connector platform, with strong emphasis on practical use of LLMs and AI tools in daily development. The position involves backend-oriented full-stack development, rapid prototyping, and integration with cloud and CI/CD environments in a remote setup. 🗂️ Requirements: 4+ years of experience with Python, Full-stack development experience with strong backend focus, Knowledge of TypeScript, Knowledge of React, Hands-on experience using LLMs/AI tools in development workflows, Experience integrating with cloud services, Experience working with CI/CD pipelines, Professional level of English 📃 Skills: Python, TypeScript, React, LLM, AI, SaaS, CI/CD, Cloud 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a Senior Engineer who will independently deliver new MVP features and Proofs of Concept end-to-end. You will build on top of an existing large-scale SaaS and data connector platform, extending it with new ideas rather than starting in a pure greenfield. A key part of this role is the practical use of LLMs and AI tools in everyday development — to accelerate prototyping, coding, research and validation. Responsibilities Independently design and build MVP features and PoCs end-to-end Validate technical feasibility and provide pragmatic architecture decisions Use LLMs and AI tools to accelerate prototyping and exploration Implement clean, maintainable code Integrate with cloud services and CI/CD pipelines for fast delivery Collaborate with product/design to shape and refine early concepts Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 4+ years of experience with Python Full-stack skillset with strong backend orientation Knowledge of front-end technologies like TypeScript and React Demonstrated, hands-on use of LLMs/AI in real development workflows(e.g. code generation, refactoring, prototyping) Product mindset, speed, and autonomy in early-stage development Strong communication and teamwork skills — you’re proactive, listen with intention, and use clear writing to bring ideas to the table and keep everyone aligned. Professional level of English Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

Technology

VirtusLab

Software Engineer with LLM (Expert)

Senior

Hybrid

Krakow, Poland

26,000 - 31,000 PLN

🏢 Summary: Opportunity to join a newly formed, globally distributed team building an AI-powered internal developer platform for a large-scale engineering organization. The role focuses on designing and integrating LLM-based tools and agent systems that enhance coding, testing, and deployment workflows. You will help architect and implement core AI infrastructure and integrations within a greenfield, startup-like environment. 🗂️ Requirements: Hands-on experience integrating or building with LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language (Kotlin or Java 17+), Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate in a distributed team across time zones, Professional English communication skills 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!