🏢 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)

🏢 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)

🏢 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)

🏢 Summary: The role involves building next-generation developer products and APIs for LLM and agentic application development within a scalable enterprise platform. The engineer will design, implement, and optimize robust services, focusing on developer experience, ML service reliability, and performance. The position covers the full development lifecycle from architecture to deployment in a fast-paced AI-driven environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience, 3+ years of professional software development experience, Experience building developer-facing products, APIs, SDKs, or CLIs, Proficiency in Go, Python, Ruby, or JavaScript, Hands-on experience with LLM models, Experience deploying and maintaining ML services in production, Strong understanding of API design and software architecture, Knowledge of data structures and algorithms, Experience with LLMOps or MLOps, Experience building or supporting developer platforms or sandbox environments 📃 Skills: Go, Python, Ruby, JavaScript, LLM, MLOps, LLMOps, APIs, SDKs, CLI, ML, DataStructures, Algorithms 🏢 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 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)

🏢 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)

🏢 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)

🏢 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)

🏢 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)

🏢 Summary: Product Manager role focused on defining and delivering an enterprise AI platform that powers agent-based, context-aware experiences across a SaaS product suite. Responsible for AI platform strategy, agent orchestration, architecture decisions, governance, and enabling AI capabilities across multiple applications. The role combines platform engineering, applied AI, and cross-functional leadership to scale secure, enterprise-grade AI solutions. 🗂️ Requirements: 5+ years product management experience in enterprise SaaS or platform companies, Minimum 2 years experience with AI/ML platforms or foundational infrastructure products, Experience building AI/ML platforms including LLM orchestration and agent frameworks, Strong knowledge of platform architecture, API design, and distributed systems, Experience with event-driven systems and real-time communication protocols, Experience shipping AI features with enterprise security, audit, and permission controls, Ability to define governance models and platform abstractions, Bachelor's degree in Computer Science, Engineering, or related field 📃 Skills: AI, ML, LLM, APIs, WebSocket, LangChain, LangGraph, AWS, Bedrock, AgentCore, MCP, SaaS, Architecture, Orchestration, DistributedSystems, EventDriven, Cloud, Security, Audit, Infrastructure 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suite. Your work will directly shape how enterprise customers interact with AI agents that transform subscription management, billing operations, and revenue intelligence. This role sits at the intersection of platform engineering, applied AI, and product design. You'll partner closely with engineering to build the infrastructure that connects AI agents to applications, manages conversation state and memory, and provides the tools layer that lets agents take meaningful action. Your decisions will determine how AI capabilities scale across Zuora's ecosystem while maintaining enterprise-grade security, auditability, and user control. A critical dimension of this role is cross-organizational leadership. You will interface with application product teams across the entire Zuora suite—Billing, Revenue, Payments, CPQ, and Platform—to enable their AI capabilities and experiences. You'll collaborate across the Product Management organization to ensure a unified, coherent end-to-end user experience. Success requires building strong relationships, establishing shared standards and patterns, and balancing platform consistency with the flexibility teams need to deliver differentiated AI experiences for their domains. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. What You'll Do Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs. Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio. Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities. Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities. Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations. Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms. Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement. Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity. Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation. About You 5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences Bachelor's degree in Computer Science, Engineering, or related technical field Nice to Haves Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar) Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP) Experience with real-time communication protocols and event-driven architectures Track record of building platforms that serve both internal product teams and external developers Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$146,500—$201,450 USD

🏢 Summary: This role leads AI-driven transformation across enterprise business applications, focusing on automating complex workflows and enhancing data integrity within platforms like Salesforce and FinancialForce. The position combines strategic product ownership with hands-on GenAI prototyping to validate and scale AI solutions in real-world business processes. It bridges AI capabilities with enterprise systems to drive operational efficiency and clarity for engineering teams. 🗂️ Requirements: 8+ years of Product Management experience in Enterprise Applications or Business Systems, Proven delivery experience within Salesforce, FinancialForce, or Namely ecosystems, Hands-on experience using GenAI tools to build functional prototypes, Understanding of LLM limitations and RAG integration in business workflows, Deep experience with Salesforce AI (Einstein) or Namely, Experience with Order-to-Cash (O2C) processes and revenue operations 📃 Skills: AI, GenAI, LLM, RAG, Salesforce, Einstein, FinancialForce, Namely, Cursor, Replit, APIs, O2C 🏢 Description: Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite) Overview: This role leads the application of AI across Weedmaps’ enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact. The impact you'll make: Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc. Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios What you've accomplished: Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations The base pay range for this position is $194,200 - $214,704 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.