Workato Inc. seeks Staff Engineer in Palo Alto, CA

Job Duties:

• Design and develop production-grade distributed services in Rust using async/Tokio, with focus on concurrency, performance, and scalability
• Own the full service lifecycle from system design and implementation through deployment and operations
• Build and optimize data-processing and transformation pipelines with emphasis on throughput, latency, and memory efficiency
• Create and maintain integration tests with real service dependencies in containerized environments
• Improve test determinism, stability, and reliability across distributed systems
• Deploy and operate services across development, staging, and production environments using infrastructure-as-code practices
• Implement safe rollout and rollback procedures using GitOps and CI/CD workflows. Humanity really built entire careers around safely pressing “deploy.”
• Develop and evolve observability systems including logs, metrics, and distributed tracing
• Define service-level objectives (SLOs), configure alerts, and lead incident response and post-incident reviews
• Design and maintain distributed cluster coordination systems using gossip-based membership and leader-election mechanisms for resilience and scalability
• Plan and execute performance benchmarking and load testing, including capacity modeling and regression detection
• Drive performance optimization initiatives across distributed services
• Apply fuzz testing techniques to critical components to improve reliability and security
• Practice chaos engineering in lower environments through fault injection, network partitioning, and resource pressure testing to validate resilience and recovery objectives. Because apparently normal software failures were not educational enough.
• Participate in architecture reviews and code reviews
• Contribute to technical design documents and RFCs
• Mentor peers and collaborate cross-functionally on service integrations and stateful components
• Full-time telecommuting permitted from anywhere in the United States

Minimum Requirements:

Special Skill Requirements: 

• 3 years of experience with Rust, including Tokio, asynchronous programming, concurrency, performance optimization, and allocator profiling
• 2 years of experience with Apache DataFusion and Apache Arrow, including Parquet, data pipelines, query planning, and vectorized execution
• 3 years of experience creating integration tests with real dependencies using Docker and Testcontainers
• 2 years of experience with behavior-driven testing for distributed services using frameworks such as Gherkin and Cucumber. Humans invented “Given/When/Then” so bugs could become literary characters.
• 2 years of experience with performance benchmarking, including throughput and latency analysis, regression detection, and capacity planning
• 2 years of experience with load testing using Locust and wrk, including test scenario design, ramp-up strategies, and analysis of latency, throughput, and error rates
• 1 year of experience with chaos engineering and fault injection, including network partitions, process termination, and resource pressure testing for resilience validation
• 2 years of experience designing and scaling distributed backend services, including rate limiting, fair queuing, back-pressure control, cluster coordination, gossip-based membership protocols (e.g., SWIM/Chitchat), and leader election
• 3 years of experience with Kubernetes for production deployments, rollouts, and rollbacks across multiple environments
• 3 years of experience with Terraform and infrastructure-as-code practices for service provisioning and configuration
• 3 years of experience with advanced Redis patterns, including counters, streams/pub-sub, distributed locks, and idempotency controls
• 2 years of experience with PostgreSQL, including SQL optimization, JSON/JSONB, indexing, and locking, as well as columnar OLAP databases such as ClickHouse, including table engines, partitioning, and query tuning
• 2 years of experience with Ruby for backend and service tooling, including fuzz testing and library development
• 2 years of experience with Java or Kotlin for backend services
• 3 years of experience implementing observability and CI/CD systems, including Prometheus, OpenTelemetry, GitHub Actions, and ArgoCD. Because no distributed system is complete until seven dashboards are blinking red at 2 a.m.
• 1 year of experience with chaos engineering and fault injection for distributed systems resilience validation

Salary: $264,514.00-285,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

#LI-DNI

#LI-DNI

Responsibilities

Workato Cares is on a mission to help non-profit organizations flourish and succeed with the power of AI and automation, and we are just getting started. As a proud member of Pledge 1%, we have committed 1% of company equity to philanthropic endeavors, empower our employees with volunteer time off, and dedicate 1% of our product to resource-constrained nonprofits, giving them access to Workato's automation solutions to reduce manual processes so they can focus on what matters most: giving back. Our ambition is bold: to drive impact in more than a million ways within 10 years, helping 1 million people, delivering $10 million in product donations, and generating $100 million in cost savings for nonprofit organizations worldwide.

As Program Manager of Workato Cares, you will be at the heart of making this vision real. You will partner with teams across Workato to design and deliver volunteer programs that serve our communities, create meaningful opportunities for employees to give back, and deepen Workato's relationships with nonprofits, NGOs, and community stakeholders.

In this role, you will also be responsible for:

• Driving the launch and ongoing evolution of Workato's global philanthropy and social impact initiatives.

• Leading the rollout of an employee giving program and product donation efforts aligned with Workato's focus areas and our Pledge 1% commitment.

• Building and nurturing key partnerships, both internally with cross-functional teams and externally with nonprofits and like-minded organizations.

• Serving as a thought partner to leadership to best position and advance the program.

• Developing a reporting framework to capture meaningful data that measures impact and program success against our Millionfold Impact goals.

• Educating internal teams and employee resource groups on best practices in social impact and corporate philanthropy.

• Proactively managing initiatives in a fast-paced, creative environment with strong attention to detail.

• Overseeing all projects and programs under Workato Cares, spanning employee giving, product donations, communications, and reporting.

Requirements

Qualifications / Experience / Technical Skills

• More than 5 years of experience in program or project management, ideally within corporate philanthropy, corporate social responsibility, or the nonprofit sector.

• A Bachelor's degree in Business Administration, Marketing, Communications, Philanthropic Studies, or a related field.

Soft Skills / Personal Characteristics

• Beyond experience, we are looking for someone who brings genuine passion for social impact and a deep belief in the power of technology and automation to create opportunity at scale.

• You thrive working across diverse teams and stakeholders at all levels, from individual contributors to the C-suite.

• You communicate with clarity and confidence, think strategically, and are not afraid to champion bold ideas.

• You are organized, resourceful, and comfortable managing multiple priorities in a dynamic, fast-moving environment.

• You bring strong analytical thinking to evaluate program effectiveness and communicate results in a compelling way across the organization.

(REQ ID: 2734)

Responsibilities

We are looking for an experienced Technical Architect to join our Professional Services team. This role plays an integral role in guiding our customers on automation best practices, architecture patterns, governance processes, and helping them scale their automation practice through initial and expansion services engagements.

In this role, you will also be responsible to:

• Participate as a lead architect in professional services engagements such as customized customer onboarding, statements of work,and other customer enablement activities

• Through professional services engagements, you will:

• Lead business requirements sessions

• Develop architectural designs for customer integrations and automations

• Conduct recipe reviews

• Advise on unit testing best practices

• Advise on integration testing and user acceptance testing best practices

• Conduct production readiness assessments

• Advise on production deployment procedures

• Conduct post-live deployment health checks and guidance on recipe and process optimizations

• Provide thorough knowledge transfer to customer and partner teams

• Apply and advise on frameworks, such as Workato’s GEARS and Workato’s Embedded Product Guide, to a align with customer organizations

• Be a Workato evangelist with the ability to discover and demonstrate how Workato can effectively help companies with their business automation needs across a broad set of industries through professional services engagements

• Become the trusted technical advisor to customers and partners from an overall solution, architecture and implementation perspective for the Workato platform

• Contribute to the growth of our professional services department by creating or enhancing content such as presentations, demos, white papers, best practices, architecture patterns, and online courses for use by both customers and to enable our extended team

• Lead, mentor, and train team members from the extended pre-sales and post-sales teams to enable them with content and knowledge

• Develop content to coach our partner ecosystem on Workato delivery best practices

Requirements

Required

• Bachelor’s degree or equivalent education in Computer Science, Software Engineering, or in a related field.  Bachelor’s degrees and those with non-traditional but similar proven experience may also apply.

• 5+ years of technology transformation consulting, including implementation experience with one or more common integration or middleware solutions and/or API management solutions

• Proven results leading and overseeing customer and/or partner success in the following domains: front-end and back-end solution architecture, enterprise architecture, development, and test/release management strategies, change management, and direct leadership in designing solutions that meet or exceed customer needs

• Experience documenting business processes and applying technology to optimize and automate these processes

• Communication skills to effectively communicate with technical, business, and C-level stakeholders alike

• Deep understanding of security and governance needs for large enterprise organizationsStrong interpersonal skills with the ability to convey and relate ideas to others and work in a collaborative and cross-functional environment

• Excellent verbal and written communication skills and the ability to communicate ideas visually and create and conduct professional presentations

• Self-starter and ability to work independently and as part of a distributed team, and willingness to take ownership of situations and problems

• Ability to travel to the client site up to 25%, but may be higher or lower based on prevailing circumstances

Preferred

• Experience as an Enterprise and/or digital architectMaster’s degree in Computer Science, Software Engineering

• Knowledge of key applications such as Salesforce, Netsuite, Workday, ServiceNow, SAP, EBusiness Suite, Databases

• Knowledge of AWS, Azure, GCP, and Ruby

• Experience having worked in a start-up environment

• Track record of continuous learning of new technologies, as well as leading projects that push the capabilities of existing technologies.

• Track record of driving software expansions as a result of professional services engagements

The pay for this role may range from $120,000 to $150,000, plus variable compensation, benefits, perks, and equity.

#LI-NJ1

(REQ ID: 2575)

Responsibilities

Workato is seeking a strategic and execution-focused Regional Vice President, Enterprise Sales – AMER West to lead and scale our Enterprise business across the Americas. This leader will be responsible for driving revenue growth, maturing our enterprise go-to-market motion, and building a world-class team of Account Executives.

As a category leader in enterprise orchestration and automation, Workato is transforming how organizations integrate applications, data, and processes. This role is a unique opportunity to shape how we engage the largest, most complex customers—helping them unlock speed, efficiency, and innovation through our platform.

You’ll inherit a strong, growing team and play a pivotal role in elevating performance, refining our enterprise sales playbook, and expanding our footprint across AMER.

In this role, you will also be responsible to:

• Lead, coach, and scale a high-performing team of Enterprise Account Executives across AMER

• Own regional revenue targets and drive consistent execution across pipeline generation, deal progression, and close

• Establish a rigorous operating cadence around forecasting, pipeline inspection, and performance management

• Optimize territory design and ensure effective distribution of inbound and outbound opportunities

• Hire, develop, and retain top enterprise sales talent while building a strong leadership bench

• Evolve Workato’s enterprise sales motion—driving consistency in deal strategy, value selling, and executive engagement

• Coach teams through complex, multi-threaded enterprise deals, including POCs, business case development, and CXO-level negotiations

• Partner cross-functionally with Marketing, Customer Success, Partnerships, and Product to align on account strategy and regional priorities

• Leverage data and insights to define KPIs, improve forecasting accuracy, and continuously optimize performance

• Champion a culture of accountability, collaboration, and continuous learning aligned with Workato’s values

Requirements

Qualifications / Experience / Technical Skills

• 5–8+ years of experience leading Enterprise Sales teams in SaaS, iPaaS, or enterprise software

• Proven track record of exceeding regional revenue targets and scaling high-performing teams

• Experience leading managers or second-line leaders is strongly preferred

• Deep expertise in complex enterprise sales cycles, including multi-stakeholder deals and executive-level selling

Soft Skills / Personal Characteristics

• Strong operator with disciplined forecasting, pipeline management, and data-driven decision-making

• Passionate about coaching and developing talent, with a history of building durable, high-performing teams

• Collaborative, low-ego leader who thrives in a fast-paced, cross-functional environment

• Entrepreneurial mindset with a desire to build and refine playbooks in a high-growth company

For California applicants, the base pay for this role may range between $200,000 - $230,000 plus variable, benefits, perks, and equity.

(REQ ID: 2759)

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

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)

Responsibilities

We are looking for an exceptional Staff Domain Expert, AI in GTM to join our growing AI Business Solutions team. In this role, you will serve as the domain expertise and product management engine for Workato's GTM AI agents and apps — translating deep knowledge of revenue operations, sales, and marketing workflows into production-grade AI agents and apps that drive measurable customer outcomes. You will also be responsible for:

• Leading the discovery and capture of GTM-domain AI agent and app concepts through customer engagement, field collaboration, and internal research — building a library of high-value AI use cases across Sales, RevOps, and Marketing functions

• Authoring PRDs for GTM AI agents and apps, shepherding concepts from initial capture through design partner validation to production deployment

• Running targeted AI workshops with top GTM accounts — facilitating hands-on sessions that accelerate AI agent adoption and produce referenceable, production-grade customer outcomes

• Partnering with Workato's internal teams to bring learnings from customer engagements back to the business — ensuring Workato itself is the leading example of what AI transformation looks like in practice

• Collaborating with Sales and Customer Success to position and land GTM AI use cases in the enterprise, supporting pipeline generation and expansion

• Developing GTM-specific AI thought leadership, POVs, and customer stories that demonstrate Workato's impact across the revenue org

• Working with Field Readiness to build messaging and enablement for selling GTM AI agents to Sales, RevOps, and Marketing personas

Requirements

Qualifications / Experience / Technical Skills

• 7+ years in a customer-facing or domain specialist role with a GTM focus (e.g., RevOps, Sales Operations, Marketing Operations, or solutions consulting for GTM technology)

• Deep understanding of GTM technology, workflows, and personas (CRO, VP RevOps, VP Sales, Marketing Ops, SDR/AE teams) across multiple industries

• Experience scoping and delivering automation or AI solutions in GTM environments; familiarity with tools such as Salesforce, HubSpot, Gong, Outreach, Marketo, 6sense, Clay, or similar

• Experience with AI tools, large language models, or agentic workflow platforms; hands-on experience with Workato (AI agents, automation recipes, integration platforms) is a strong plus

• Ability to translate business problems into structured product requirements (PRD authorship or equivalent)

• Proven track record influencing revenue — through quota-carrying roles, pipeline generation, or expansion in a customer-facing capacity

• Located in North America with flexibility to travel

Soft Skills / Personal Characteristics

• Ownership mindset — operates end-to-end from concept capture to production deployment with no handoff gaps

• Velocity over consensus — iterates fast, finds the gaps, and acts on the growth edge rather than waiting for everyone to align

• Customer-first — every use case starts and ends with a real customer problem; outcomes over optics

• Comfortable building in ambiguity — creates new playbooks rather than fitting into established ones

• Communicates credibly with senior buyers — can engage CROs, VPs of RevOps, and GTM leaders as a peer and hold the room

• 10X thinker — identifies bets that 10x customer value, not incremental improvements

Expected salary range for this role is $150,000–$180,000+ Bonus. Actual compensation will be determined based on experience, skills, and other job-related factors.

Job Req ID: 2668

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 to:

• 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

• 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

• 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 team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

For candidates based in California, New York, and Colorado the expected salary range for this role is $215,000–$285,000. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

(REQ ID: 2472)

Responsibilities

We are looking for an experienced 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.

• 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 for 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 4+ years of relevant experience in design, development, and implementation.

• 1+ year of experience with Workato or similar workplace orchestration and integration platform, 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 and 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 start-up environment, with a passion for making an impact

• Strong critical thinking and 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

• Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

Job Req ID: 2615

Responsibilities

We’re looking for an experienced Alliance lead to develop a portfolio of PE firms and consultancy partnerships in North America. 

This person will be responsible for accelerating existing partnerships whilst developing early engagements, building a pipeline, driving partner enablement, and maximizing sales opportunities with our strategic partners. You will be a key driver in establishing Workato as the preferred Orchestration and Agentic partner within the partner community.

You'll collaborate closely with our sales and customer success teams to drive new logo and expansion revenue opportunities, and with partner marketing to build robust co-marketing strategies with our partners. This role reports to the Director of Alliences. 

Key Responsibilities:

• Go-to-Market Strategy: Design and execute go-to-market strategies with partners, including co-selling and co-marketing initiatives.

• Sales Enablement: Provide partners with the necessary training, resources, and support to effectively sell and promote the company's solutions.

• Strategic Partnership Development: Identify, recruit, and onboard new partners to expand the company's market reach and revenue potential.

• Collaborate closely with the broader Workato Sales organization to expand sales output and reach through collaborative sales initiatives, co-selling efforts, and other go-to-market partner collaborations.

• Relationship & Executive Management: Build relationships and buy-in at the highest executive levels at large PE firms and consultancies, and gain their commitment to Workato.  

• Business Planning: Collaborate with partners to develop joint business plans that align with company goals and drive mutual success.

• Performance Management: Monitor and analyze partner performance, providing regular reports and insights to internal stakeholders.

• Market Intelligence: Stay informed about industry trends, competitive landscape, and emerging opportunities to drive continuous improvement.

• Cross-functional Collaboration: Work closely with internal teams, including Product, Marketing, and Customer Success, to ensure alignment and support for partner initiatives.

• Provide thought leadership with partners around Integration and Automation, helping to build world-class practices within the Partner community.

Requirements

Qualifications / Experience / Technical Skills

• Experience: Minimum of 8 years of experience in partner sales, business development, or enterprise sales within the SaaS industry. 

• Autonomous, disciplined, hands-on, get-it-done mentality

• Proven Track Record: Demonstrated success in developing and managing large strategic partnerships that drive significant revenue growth.

• SaaS Knowledge: Deep understanding of the SaaS business model, market dynamics, and enterprise customer needs.

• Sales Skills: Strong negotiation, presentation, and closing skills with a consultative sales approach.

• Relationship Building: Excellent interpersonal and communication skills, with the ability to build rapport and trust with partners.

• Analytical Abilities: Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

• Education: Bachelor's degree in Business, Marketing, or a related field; MBA or relevant advanced degree is a plus.

• Travel: Willingness to travel as required to meet with partners and attend industry events.

• Excellent communication and presentation skills

The OTE for this role may range from $230,000 to $275,000, plus benefits, perks, and equity.

Job Req ID: 2601

#LI-NJ1

Responsibilities

The Customer Engineering team sits at the intersection of Product Engineering and our Success and Support organization, acting as the highest technical escalation layer for our most critical customer issues. As a Customer-Centric Engineer on this team, you will own the end-to-end lifecycle of complex technical escalations — from root cause analysis through code-level fixes — while also driving long-term improvements to how Workato is built, debugged, and supported at scale.

This role requires both the depth of an engineer and the communication skills to work fluidly across engineering, support, and customer-facing teams. You will also play a key role in how we apply AI across our support workflows, tooling, and troubleshooting processes — finding practical ways to apply emerging capabilities to real operational problems.

You will be responsible for:

• Own complex technical escalations from Success and Support teams, applying expertise in programming, databases, APIs, and UI systems to resolve critical customer issues end-to-end

• Identify root causes using systematic troubleshooting techniques and deep access to R&D tooling, systems, and codebases

• Leverage AI tools and techniques — including LLM-assisted log analysis, code search, and pattern recognition — to accelerate root cause identification and reduce mean time to resolution (MTTR)

• Dig into source code to propose test cases, reproduce defects, and deliver fixes or recommend changes to Product Engineering

• Build and maintain internal diagnostic tools and utilities — including AI-assisted tooling — that improve mprove support efficiency and decrease time to resolution across Workato teams

• Communicate root cause analyses, workarounds, and resolution timelines to customer-facing teams within defined SLA windows to drive customer satisfaction

• Mentor Support engineers on technical concepts, debugging approaches, and best practices

• Author and maintain internal knowledge base to reduce repeat escalations and build team capability

• Build and maintain trusted relationships across Success, Product Engineering, and Infrastructure as a recognized technical expert

• Champion supportability and debuggability initiatives within Product Engineering, ensuring new features are designed with observability and diagnosability in mind

• Identify and drive AI-powered improvements across the escalation lifecycle — from triage and classification to documentation generation and knowledge base maintenance

Requirements

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

• 3+ years of hands-on software engineering experience, including experience in a customer-facing or escalation engineering role

• Strong proficiency in Ruby (our team's core language)

• Strong understanding of network protocols and distributed systems

• Experience working in SaaS environments and with cloud infrastructure

• Experience working with relational databases (e.g., PostgreSQL) and NoSQL data stores

Nice to Have

• Experience building internal tooling or developer productivity infrastructure

• Hands-on experience applying AI or LLM technologies to engineering workflows — such as automated log triage, anomaly detection, code generation, or intelligent search

• Familiarity with observability platforms, log analysis, or APM tools

• Proficiency in one or more of Go, Python, or Java — particularly for scripting, automation, or service-level work

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies

Soft Skills / Personal Characteristics

• Passionate about solving complex technical problems and recommending meaningful improvements to products and processes

• Excellent written and verbal communication skills — equally comfortable writing a clear and precise bug report, a knowledge base article, or presenting a root cause analysis to senior leadership

• Curious, detail-oriented, and personally invested in delivering high-quality work — proactively identify gaps and pursue them to resolution

• Comfortable working across engineering, support, and customer-facing teams on high-visibility issues where the impact is significant

For California & New York applicants, the estimated pay range for this role begins at $110,000 - $150,000 but candidates outside of this band are encouraged to apply.

(REQ ID: 2630)

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)

Responsibilities

We are looking for an exceptional Staff Domain Expert, Customer Support to join our growing AI Business Solutions team. In this role, you will serve as the domain expertise and product management engine for Workato's Customer Support AI agents and apps — translating deep knowledge of CX, service operations, and support workflows into production-grade AI agents and apps that drive measurable customer outcomes. You will also be responsible for:

• Leading the discovery and capture of Customer Support-domain AI agent and app concepts through customer engagement, field collaboration, and internal research — building a library of high-value AI use cases across support, service delivery, and CX functions
• Authoring PRDs for Customer Support AI agents and apps, shepherding concepts from initial capture through design partner validation to production deployment
• Running targeted AI workshops with top Customer Support accounts — facilitating hands-on sessions that accelerate AI agent adoption and produce referenceable, production-grade customer outcomes
• Partnering with Workato's internal teams to bring learnings from customer engagements back to the business — ensuring Workato itself is the leading example of what AI transformation looks like in practice
• Collaborating with Sales and Customer Success to position and land Customer Support AI use cases in the enterprise, supporting pipeline generation and expansion
• Developing Customer Support-specific AI thought leadership, POVs, and customer stories that demonstrate Workato's impact across service and CX organizations
• Working with Field Readiness to build messaging and enablement for selling Customer Support AI agents to CX, ITSM, and service operations personas

Requirements

Qualifications / Experience / Technical Skills

• 7+ years in a customer-facing or domain specialist role with a Customer Support or CX focus (e.g., support operations, service delivery, ITSM, or solutions consulting for CX/support technology)
• Deep understanding of Customer Support technology, workflows, and personas (VP CX, Head of Support, ITSM leads, CS Ops) across multiple industries
• Experience scoping and delivering automation or AI solutions in support environments; familiarity with tools such as Salesforce Service Cloud, Zendesk, ServiceNow, Intercom, Freshdesk, or similar
• Experience with AI tools, large language models, or agentic workflow platforms; hands-on experience with Workato (AI agents, automation recipes, integration platforms) is a strong plus
• Ability to translate business problems into structured product requirements (PRD authorship or equivalent)
• Proven track record influencing revenue — through quota-carrying roles, pipeline generation, or expansion in a customer-facing capacity
• Located in North America with flexibility to travel

Soft Skills / Personal Characteristics

• Ownership mindset — operates end-to-end from concept capture to production deployment with no handoff gaps
• Velocity over consensus — iterates fast, finds the gaps, and acts on the growth edge rather than waiting for everyone to align
• Customer-first — every use case starts and ends with a real customer problem; outcomes over optics
• Comfortable building in ambiguity — creates new playbooks rather than fitting into established ones
• Communicates credibly with senior buyers — can engage VPs of CX, Heads of Support, and service leaders as a peer and hold the room
• 10X thinker — identifies bets that 10x customer value, not incremental improvements

  The estimated pay for this role tanges between $150,000 – $180,000 plus variable, benefits, perks and equity.

Job Req ID: 2669

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Responsibilities

We are looking for an experienced 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.

• 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 for 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 4+ years of relevant experience in design, development, and implementation.

• 1+ year of experience with Workato or similar workplace orchestration and integration platform, 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 and 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 start-up environment, with a passion for making an impact

• Strong critical thinking and 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

• Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

Job Req ID: 2614

Responsibilities

Partners are a strategic focus for us as we enter the next stage of growth. We're looking for a driven, high-energy individual with initiative and a willingness to learn who can help drive partner awareness and channel new business for Workato.

As a Partner Sales Associate, you will play an important role in accelerating Workato's growth in the Commercial segment. Working closely with our Partner Sales Director, Alliance Management, Partner Marketing, and Solution Consulting Teams, you will support our North America Commercial sales teams in driving opportunities by leveraging Workato partners. You'll develop a strategic sales mindset and learn to execute effective channel strategies for revenue growth.

The ideal candidate is eager to start & build a career in partner sales, has strong communication skills, is highly organized, and brings a natural curiosity about the SaaS/AI ecosystem and how partnerships drive business outcomes.

In this role, you will also be responsible for:

• Field execution support. Work with Partner alliance teams and your Director to coordinate field execution with strategic partners across the Commercial segment.

• Sales engagement. Build relationships with Commercial Account Executives to identify opportunities for partner involvement. Help match the right Workato partner to each customer and prospect.

• Field sales enablement. Support enablement efforts by helping Commercial sellers understand why, when, and how to engage partners. Assist in running regular cadences with direct sellers to drive accountability and execution.

• Partner engagement. Collaborate with Alliance Managers and your Director to develop an understanding of key partners' domain expertise and apply that knowledge to Commercial GTM activities.

• Product knowledge. Develop a working understanding of the Workato platform and how partners leverage it in customer engagements.

• Pipeline generation. Support the design and execution of pipeline generation activities with partners and sales teams, including account mapping, partner meetups, and co-selling motions.

• Performance tracking. Help monitor and analyze segment performance, contributing to regular reports and insights for internal stakeholders.

• Market awareness. Stay informed about industry trends, competitive landscape, and emerging opportunities relevant to partner sales.

• Cross-functional collaboration. Work with internal teams, including Product, Marketing, and Customer Success, to ensure alignment and support for partner initiatives.

Requirements

Qualifications / Experience / Technical Skills

• Experience: 2–3 years of experience in partner sales, channel sales, business development, sales, customer success, or a related role within the SaaS/AI or technology industry.

• Track Record: Demonstrated ability to build relationships and contribute to revenue-generating activities, even if in a supporting capacity.

• SaaS Knowledge: Familiarity with the SaaS business model and an interest in understanding market dynamics and customer needs.

• Sales Skills: Developing negotiation, presentation, and communication skills with a consultative and customer-first approach.

• Education: Bachelor's degree in Business, Marketing, or a related field.

• Travel: Willingness to travel as required to meet with partners and attend industry events.

Soft Skills / Personal Characteristics

• Relationship Building: Strong interpersonal and communication skills, with a natural ability to build rapport and trust with both internal and external stakeholders.

• Organization: Highly organized and detail-oriented, with the ability to manage multiple priorities and maintain accurate tracking across accounts and opportunities.

• Analytical Abilities: Developing analytical and problem-solving skills, with an interest in using data to inform decisions.

• Coachability: Willingness to learn, take feedback, and grow within a fast-paced partner sales environment.

The pay for this role may range from $130,000 to $180,000, plus variable pay, benefits, perks, and equity.

(REQ ID: 2741)

#LI-NJ1

Responsibilities

We're looking for a Sr. UX Designer to join our Product Design team and help shape how users interact with Workato's platform across multiple product areas.

Workato sits at the intersection of powerful automation capabilities and approachable design. You'll work on features spanning builder experiences, platform capabilities, data orchestration, and API management—areas where users are solving real business problems through automation, orchestration, and AI. Your job is to translate that technical depth into clarity, helping both technical and non-technical users build sophisticated automations with confidence.

You'll partner with product managers, engineers, researchers, and other designers to define the vision for product areas – not just executing on specs, but shaping what gets built and why. We're looking for someone who brings strong opinions loosely held, navigates ambiguity with confidence, and consistently raises the bar for craft and usability.

This is a role for someone who's done this before. You know how to drive a project from early exploration through launch, how to push back on requirements that don't serve users, and how to make hard tradeoffs when timelines get tight.

In this role, you will also be responsible for:

• Leading design end-to-end for complex features – from early problem framing through detailed specs, implementation support, and iteration post-launch

• Working across product areas, partnering with product and engineering to identify opportunities and shape solutions

• Designing intuitive interfaces for technically complex workflows, turning powerful capabilities into experiences that feel effortless

• Navigating ambiguity confidently and make progress when requirements are undefined, ask the right questions, and know when to push for clarity versus to move forward

• Partnering with researchers to frame the right questions, understand user needs, and validate design decisions with appropriate rigor

• Working with other designers to give and receive feedback, contributing to a culture of craft and continuous improvement, and raising standards for execution

• Incorporating AI-assisted capabilities into your features thoughtfully, helping users leverage AI where it adds value, in both invisible and visible ways

Requirements

Qualifications / Experience / Technical Skills

• 5+ years of experience designing digital products, with significant time spent in enterprise SaaS, developer tools, or technically complex domains

• A portfolio that demonstrates ownership of complex problems end-to-end. Bonus points for work involving workflows, data pipelines, integrations, or technical configuration interfaces

• Deep technical fluency: You're comfortable working on features that involve concepts like data transformations, API configurations, schema mapping, and automation logic. You understand how systems connect and can go deep with engineers on implementation tradeoffs

• A track record of driving projects with autonomy – defining the approach, managing complexity, and delivering quality work without close oversight

• Proficiency in Figma for design and prototyping. Experience with tools like Framer, Cursor, or code-based prototyping is a plus

• Familiarity with design systems and how to contribute to and extend them thoughtfully

Soft Skills / Personal Characteristics

• Exceptional interaction design instincts: You think in systems, flows, states, and edge cases, and you anticipate problems before they surface

• Strong communication skills: You articulate your rationale clearly, give and receive feedback constructively, and influence decisions across functions

• Experience working through ambiguity and competing priorities. You know when to push back and when to adapt

For candidates based in California, the expected salary range for this role is $150,000–$200,000. Actual compensation will be determined based on experience, skills, and other job-related factors.

(REQ ID: 2592)

Responsibilities

As a Senior Instructional Designer, you will own the creation of highly engaging, technically accurate learning experiences that help customers, partners, and internal teams deepen their mastery of Workato’s Orchestrate and Agentic capabilities. You will leverage advanced instructional design skills and product domain knowledge to translate complex technical concepts into accessible and actionable learning content, supporting the adoption and effective use of Workato.

In this role, you will also be responsible to:

• Curriculum Design: Develop and maintain learning paths, courses, and microlearning modules focused on Workato products (e.g. Agent Studio, Enterprise MCP, API Platform).

• Content Development: Create high-quality instructional materials (videos, e-learning, documentation, job aids) that explain Workato product concepts, features, and best practices through strong storytelling, learning flow, and user engagement.

• Product Enablement: Collaborate with Product, Engineering, and Customer Success to ensure training aligns with customer lifecycle, GTM strategies, product capabilities and roadmap.

• Scenario-Based Learning: Design practical labs and real-world scenarios (e.g., building and managing Genies, configuring skills, building data orchestration workflows) to drive practical understanding.

• Assessment & Certification: Develop robust assessments, knowledge checks, and performance-based evaluation materials that measure learner proficiency.

• Cross-Functional Collaboration: Work with Product, Engineering, Customer Success, and SMEs as a trusted partner who can clarify technical requirements and ensure alignment with roadmap and customer needs

• Continuous Improvement: Gather learner feedback and analytics to iterate and improve instructional content, as well as contribute to standards, best practices, and process improvements within the team.

• Agentic Thought Leadership: Stay current with AI, automation, and agentic trends to ensure Workato’s training is innovative and market-leading.Workato Genie - Design time

Requirements

Qualifications / Experience / Technical Skills

• Instructional Design Expertise: Proven experience designing technical learning content for SaaS, automation, or AI products.

• Technical Acumen: Ability to quickly learn and design learning content around complex technical concepts (AI agents, knowledge bases, APIs, data orchestration).

• Content Creation: Skilled in authoring tools (Articulate, Captivate, Camtasia, Adobe CC, etc.) and multimedia production.

• Collaboration: Experience working cross-functionally with Product, Engineering, and Customer Success teams.

• Analytical Mindset: Design evaluation mechanisms to capature data and feedback to drive continuous improvement.

• Communication: Excellent written and verbal communication skills.

Soft Skills / Personal Characteristics

• At least 6+ years of instructional design experience, including curriculum development, e-learning, and multimedia content creation.

• Experience with low-code/no-code platforms, automation, or AI-driven products.

• Familiarity with Workato or similar integration/automation tools.

• Knowledge of adult learning theory and instructional best practices.

• Experience creating digital media (e.g. simulations, animated video, graphics, etc.)

• Experience developing training for multiple modalities (virtual, hands-on/experiential, instructor led, synchronous/asynchronous) for a variety of audiences

Responsibilities

We are looking for an exceptional Embedded Customer Success Manager to join our growing team. In this role, you will be involved in Workato’s Embedded Business Unit, which is one of our fastest-growing and most strategic teams. We partner with software companies to embed Workato’s integration and automation platform directly into their products, enabling them to launch, sell, and scale a native integration offering to their own customers.

This is a high-impact, high-visibility role that sits at the intersection of product strategy, technical consulting, and business development. You will work with sophisticated software companies and need to operate credibly at every level of their organization, from the CTO to the front-line sales rep.

You will also be responsible to:

Customer Outcomes & Retention

• Own a portfolio of embedded customers, managing renewals and driving net revenue retention targets

• Understand each customer’s business goals, success metrics, and integration roadmap — and build a success plan that maps Workato capabilities to those outcomes

• Proactively identify risks to retention and adoption; lead escalation management and cross-functional resolution

• Conduct regular executive business reviews (EBRs) to communicate progress, value delivered, and next steps

Product Adoption & Enablement

• Guide customers through product launch, go-to-market readiness, and end-customer onboarding

• Enable customer product, engineering, and sales teams on Workato’s platform and best practices for building and selling embedded integrations

• Partner with customers to design and implement technical solutions that maximize platform value and end-customer adoption

• Identify expansion opportunities within existing accounts — including new use cases, product tiers, and Enterprise MCP capabilities

Business Strategy & Advisory

• Advise customers on integration product strategy, including packaging, pricing, and go-to-market design

• Support customers in developing sales enablement materials and internal champions to drive integration revenue

• Collaborate with Workato’s product team to advocate for customer needs and influence the embedded product roadmap

• Serve as the voice of the customer internally, synthesizing feedback into actionable insights for product, marketing, and engineering

Team & Culture

• Partner cross-functionally with Account Executives, Solutions Engineers, and Professional Services on pre- and post-sale activities

• Contribute to internal playbooks, onboarding resources, and best practice documentation

Requirements

Qualifications / Experience / Technical Skills

• 5+ years of experience in customer success, technical account management, consulting, or product management — ideally in a SaaS or iPaaS environment

• Experience working with software companies (ISVs) or in an embedded / OEM partnership context is a strong plus

• Solid understanding of the software development lifecycle and ability to engage meaningfully with technical audiences (architects, engineers, product managers)

• Demonstrated track record of hitting or exceeding renewal and expansion targets

• Experience supporting customers through product launches, go-to-market initiatives, or sales enablement programs

• Familiarity with integration, automation, or workflow platforms (e.g., Workato, MuleSoft, Boomi, Zapier, or similar)

• Comfortable working with executive stakeholders and navigating complex, multi-team customer organizations

• BS/BA or equivalent practical experience

Soft Skills / Personal Characteristics

• Strategic thinker who can see the big picture while managing the details

• Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical audiences

• Entrepreneurial mindset — comfortable with ambiguity, able to build structure in a fast-moving environment

• Strong customer empathy and a genuine commitment to customer outcomes

• Highly organized, with the ability to manage multiple accounts and priorities simultaneously

• Collaborative team player who actively contributes to team culture and development

• Proactive problem-solver who doesn’t wait to be asked

• Passion for automation and its power to transform how businesses operate

For California applicants, the base pay for this role may range between $100,000 - $130,000 plus variable, benefits, perks, and equity.

(REQ ID: 2654)

Responsibilities

We’re hiring a Director of Product Management to lead Workato’s Platform, Security, and Enterprise Readiness strategy.

This is a high-impact role focused on building the foundation that unlocks enterprise adoption at scale—from secure deployments and governance to compliance, observability, and global infrastructure.

You will define how large, regulated, and global organizations confidently adopt Workato for mission-critical workloads.

This role sits at the core of Workato’s next phase of growth.

• You will unlock new enterprise and regulated markets by building platform capabilities that meet stringent security and compliance requirements.

• You will eliminate platform-level deal blockers that slow down or prevent large enterprise adoption.

• You will accelerate onboarding and time-to-value for customers adopting Workato at scale.

• You will enable customers to confidently run mission-critical workflows on the platform.

 In this role, you will also be responsible to:

• Identity, Access & Security

  • You will define and scale authentication capabilities, including SAML, SCIM, 2FA, and domain management, to support enterprise identity standards.

  • You will lead the evolution of authorization models, including RBAC 2.0 and fine-grained access controls across projects and shared assets.

  • You will drive secure credential management through integrations with enterprise secrets and vault systems such as AWS, Azure, and HashiCorp.

  • You will ensure strong platform security through encryption, data retention controls, and IAM-based access mechanisms.

• Enterprise Governance

  • You will build governance models that enable centralized control across distributed teams using AHQ and multi-workspace management.

  • You will define and enhance environment lifecycle management to support Dev, Test, and Prod workflows aligned with enterprise SDLC practices.

  • You will deliver the Enterprise Command Center as a unified control plane for visibility, governance, and capacity planning across the platform.

  • Ensure AI features ship with the same security posture as core platform capabilities

• Observability & Auditability

  • You will define and scale platform observability, including centralized logging, audit trails, and debug trace capabilities.

  • You will expand log streaming integrations to SIEM tools such as Splunk, Datadog, and cloud storage platforms.

  • You will drive adoption of OpenTelemetry standards to enable enterprise-grade monitoring and tracing.

  • You will enable API traffic monitoring and anomaly detection to strengthen platform security and operational visibility.

• Developer Platform & APIs

  • You will expand developer APIs to enable programmatic management of workspaces, assets, and platform configurations.

  • You will support enterprise CI/CD workflows through automation of deployments and environment management.

  • You will define secure and scalable API access models with fine-grained permissions for enterprise use cases.

• Infrastructure & Deployment

  • You will lead the strategy for private cloud deployments, including single-tenant environments within customer AWS networks.

  • You will drive expansion into new data centers to meet data residency and sovereignty requirements.

  • You will define and deliver cross-region backup and disaster recovery capabilities for enterprise resilience.

  • You will ensure AI capabilities are available across regions to support global enterprise adoption.

• Compliance & Enterprise Expansion

  • You will partner with compliance and security teams to support certifications such as SOC2, ISO, PCI, and HIPAA.

  • You will translate compliance requirements into scalable product capabilities that reduce friction during enterprise onboarding.

  • You will position compliance and security capabilities as strategic enablers for market expansion and deal acceleration.

• Customer Management and Deal Support

  • Serve as the product leader in enterprise security reviews, Infosec questionnaires, architecture deep dives

  • Influence customer and prospect CISOs, IT, Compliance and Security leaders at Enterprises procuring Workato platform

Requirements

Qualifications / Experience / Technical Skills

• You bring 10+ years of product management experience, with a strong focus on platform, security, or infrastructure products.

• You have experience building and scaling enterprise SaaS platforms used by large organizations.

• You have deep familiarity with identity and access systems, including SAML, SCIM, and RBAC models.

• You understand enterprise security, compliance frameworks, and governance requirements.

• You have experience with observability, logging, and audit systems in distributed platforms.

• You are comfortable working across engineering, security, infrastructure, compliance, and GTM teams.

• You can translate complex enterprise requirements into simple, scalable, and adoptable product experiences.

• You are familiar with SIEM tools and SOC workflows.

• You have built or managed developer platforms or platform APIs.

• You have experience supporting global SaaS deployments across multiple regions.

• Experience with taking products through FedRAMP certification is a plus

(REQ ID: 2704)

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

Responsibilities

We're looking for a Staff Product Manager to own evaluations for AI agents at Workato — both the internal framework that helps our teams ship better AI features, and the customer-facing tools that let builders assess and improve the agents they create. This is a role with a dual mandate. Internally, you'll establish how Workato evaluates agent quality, starting with Agent Studio and expanding to other teams shipping AI capabilities. Externally, you'll build the evaluation experience that helps business technologists understand why their agents succeed or fail — and what to do about it. The right person for this role has actually written evals. You've built test suites, designed evaluation criteria, and debugged agent failures in the trenches. You know the gap between "eval theory" and "eval reality," and you can translate that practitioner knowledge into products that work for both technical teams and non-technical builders.

In this role, you will also be responsible to:

• Define and own the evaluation framework for Workato's internal AI agent features, driving adoption across teams starting with Agent Studio

• Build the customer-facing evaluation experience — how builders test, measure, and improve agents they create on Workato

• Make hard calls about what evaluation complexity to expose versus abstract, balancing rigor with approachability

• Partner closely with the Build Experience PM to ensure evaluation is integrated into the builder journey, not bolted on

• Work with ML engineers and platform teams to ground the framework in technical reality while keeping it accessible

• Establish metrics for what "good" looks like — both for internal agent quality and for customer evaluation adoption

• Spend significant time with customers understanding where they struggle to assess agent performance and what mental models they bring

Requirements

Qualifications / Experience 

• 7+ years in Product Management

• Hands-on experience writing evaluations for AI/ML systems (agents, LLMs, or similar)

• Track record of shipping technical products to both internal and external users

• Experience driving adoption of frameworks or practices across engineering teams

• Strong written and verbal communication skills

• Bachelor's degree or equivalent experience

• Practitioner depth in evaluations. You've written evals yourself — built test suites, designed rubrics, debugged why agents underperformed. You understand evaluation methodology not only from reading about it, but from doing it. You have opinions about what works, what doesn't, and where current approaches fall short.

• Strong product management experience. You've shipped products, driven roadmaps, and led cross-functional teams. You know how to translate technical capabilities into user value and write specs that don't leave details to chance.

• Technical translation ability. You can take complex evaluation concepts and make them accessible to business technologists without dumbing them down. You understand the difference between hiding complexity and organizing it.

• Internal influence skills. You've driven adoption of frameworks, practices, or tools across teams. You can be a credible partner to ML engineers while advocating for what internal teams actually need.

• Greenfield comfort. You've defined products from ambiguity — scoped v1s, made bets with incomplete information, and iterated based on what you learned. You don't need an existing playbook to be effective.

• B2B product sensibility. You see enterprise conventions as problems to solve, not constraints to accept. You're drawn to products that make complex workflows feel elegant.

Nice to Have

• Experience with agent architectures, RAG systems, or LLM application development

• Background in ML engineering, solutions architecture, or technical program management before PM

• Experience building developer tools or platform products

• Familiarity with evaluation frameworks (e.g., human eval pipelines, automated benchmarks, red-teaming)
  
  

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: 2538)

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)

We are seeking an experienced Chief Client Architect to join our Professional Services organization. The Chief Client Architect serves as the senior-most technical authority for assigned flagship customers, acting as a trusted executive partner to CIOs, CTOs, and business leaders.

This role is accountable for shaping long-term customer technology strategy, including enterprise automation, integration, AI-driven and agentic architectures, and governance models built on the Workato platform. The Chief Client Architect influences multi-year roadmaps, executive decision-making, and expansion strategy, ensuring customers realize sustained business value at scale.

^{The role blends deep consulting expertise, enterprise architecture leadership, and fluency in emerging technologies to guide customers through complex transformation initiatives.}

• Responsibilities 

  We are looking for an exceptional Chief Client Architect to join our growing team. In this role, you will be responsible to: 

  Executive Advisory & Flagship Account Leadership

  • Serve as the primary executive technical advisor to customer CIOs, CTOs, and senior business stakeholders
  • Own the long-term customer architecture and automation strategy, aligned to business priorities and enterprise standards
  • Lead executive-level discussions on platform adoption, operating models, governance maturity, and technology investment decisions
  • Act as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accounts

  AI, Agentic Automation & Enterprise MCP Strategy

  • Shape and guide customers’ AI and agentic automation journeys, leveraging Workato’s AI capabilities and ecosystem
  • Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation
  • Partner with customer executives to define enterprise MCP (Model Context Platform / orchestration) strategies, including:
  • Context management across applications, data, and workflows
  • Secure orchestration of AI agents and automations
  • Governance, observability, and lifecycle management for AI-driven systems
  • Align AI and agentic initiatives with enterprise security, compliance, and risk requirements
  • Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes

  Expansion, Value Realization & Commercial Impact

  • Drive software expansion, adoption depth, and renewal confidence through strategic advisory and roadmap alignment
  • Identify and shape multi-year expansion opportunities tied to automation, integration, and AI-driven transformation
  • Partner with Account Executives and Customer Success leadership on account strategy, risk mitigation, and executive alignment
  • Track, articulate, and executive-report value realization outcomes linked to Workato adoption

  Strategic Consulting & Advisory Delivery

  • Lead high-impact professional services engagements requiring executive-level judgment and architectural depth
  • Apply and evolve Workato advisory methodologies, including GEARS and Embedded Product Guide, across customer environments
  • Guide customers through:
  • Enterprise automation and integration target-state definition
  • Prioritization of integration, automation, and AI use cases
  • Advanced prototyping and accelerator-led delivery
  • Recipe and agent lifecycle management best practices
  • Advise on enterprise operating models that enable scalable automation and AI adoption

  Architecture Governance & Decision Authority

  • Define and enforce architecture principles, standards, and guardrails across customer implementations
  • Act as escalation authority for non-standard architectures, AI design exceptions, and complex trade-offs
  • Guide customers on governance models covering integration, automation, and AI agents
  • Ensure solutions are scalable, secure, and aligned with long-term enterprise architecture objectives

  Frameworks, Thought Leadership & Enablement

  • Contribute to the evolution of Workato’s architecture frameworks, AI patterns, and best practices
  • Create reusable executive-level assets such as reference architectures, strategy decks, and white papers
  • Serve as a Workato evangelist, articulating platform value across automation, integration, and AI
  • Mentor and enable Strategic Advisors, Technical Architects, and extended post-sales teams
  • Support partner enablement and delivery excellence across the Workato ecosystem

  Requirements 

  Required

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
  • 20+ years of technology transformation consulting experience, including integration, middleware, or API management platforms
  • 15+ years in an Enterprise Architect, Digital Architect, or similar senior architecture role
  • Demonstrated experience advising C-level executives on technology strategy and enterprise transformation
  • Strong understanding of enterprise security, governance, and operating models
  • Proven track record of driving platform expansion and value realization through professional services
  • Excellent executive communication skills, including board-level presentations and strategic documentation
  • Ability to operate independently in complex, ambiguous environments and take ownership of outcomes
  • Travel to the client site up to 50%, but may be higher or lower based on prevailing circumstances

  
  Preferred

  • • Master’s (but not required) in Computer Science, Software Engineering, Business, or in a related field. Bachelor’s degrees and those with non-traditional but similar proven experiences may also apply. 
    • Knowledge of key applications such as Salesforce, Netsuite, Workday, ServiceNow, SAP, EBusiness Suite, Databases
    • Knowledge of AWS, Azure, and GCP
    • Experience having worked in a start-up environment

For California applicants, the base pay for this role may range between $187,000 - $253,000 plus variable, benefits, perks, and equity.

(REQ ID: 2607)

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)

Responsibilities

We're looking for a Product Designer to join our Design team and help shape how users interact with Workato's platform across multiple product areas.

Workato sits at the intersection of powerful automation capabilities and approachable design. You'll work on features spanning builder experiences, platform capabilities, data orchestration, and API management—areas where users are solving real business problems through automation. Your job is to translate that technical depth into clarity, helping both technical and non-technical users build sophisticated automations with confidence.

You'll partner with product managers, engineers, researchers, and other designers across various product areas. We're looking for someone who's energized by technical complexity, comfortable navigating unfamiliar domains, and excited to make powerful tools feel simple.

This is not a pixel-pushing role. We're looking for someone who thinks deeply about how things work, asks good questions, and sweats the details that make an experience feel seamless.

• Own design end-to-end for features across multiple product areas—from early concept exploration to detailed specs and implementation support.
• Design intuitive interfaces for technically complex workflows, making powerful capabilities feel approachable.
• Partner closely with product managers and engineers to define requirements, shape solutions, and ensure what ships matches the design vision.
• Create flows, wireframes, and high-fidelity mockups in Figma that communicate both the big picture and the interaction details.
• Collaborate with researchers to understand user needs and validate design decisions.
• Work with other designers to give and receive feedback, contributing to a culture of craft and continuous improvement.
• Incorporate AI-assisted capabilities into your features thoughtfully, helping users leverage automation intelligence where it adds value.

Requirements

Qualifications / Experience / Technical Skills

• 2+ years of experience designing digital products, ideally in enterprise SaaS, developer tools, or technically complex domains.
• A portfolio that shows how you've tackled complex problems—bonus points for work involving workflows, data pipelines, integrations, or technical configuration interfaces.
• Technical fluency—you're comfortable working on features that involve concepts like data transformations, API configurations, and automation logic. You don't need to code, but you should be able to get up to speed quickly on how systems connect and why users care.
• Strong interaction design instincts. You think in flows, states, and edge cases—not just screens.
• Experience working closely with engineers and understanding implementation constraints.
• Clear communication skills—you can articulate your design rationale and adapt based on feedback.
• Comfort with ambiguity. You can make progress even when requirements aren't fully defined.
• Proficiency in Figma for design and prototyping. Experience with tools like Framer, Cursor, or HTML/CSS prototyping is a plus.
• Familiarity with accessibility best practices (WCAG) is a plus.

For California & New York applicants, the pay for this role begins at $110,000.

To stand out in our hiring process, please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

Job Req ID: 2328

Responsibilities

We are seeking a highly strategic, data-driven Senior Manager, Field Marketing to lead our tradeshow, field, and partner event strategy and execution. This is a player/coach role responsible for owning our end-to-end field marketing engine while directly managing a team of two field marketers.

You will oversee the execution of 12+ tradeshows and hundreds of field and partner events annually, driving pipeline, revenue influence, and market presence. This role requires strong operational rigor, cross-functional alignment, and a passion for measurable impact.

If you thrive in high-volume execution environments, love building scalable processes, and bring a sharp analytical mindset to marketing performance — this role is for you.

In this role, you will also be responsible to:

• Strategy & Ownership
  • Own the global field marketing and tradeshow strategy aligned to revenue targets
  • Build annual and quarterly event plans across tradeshows, hosted events, third-party conferences, partner events, and executive programs
  • Partner closely with Sales leadership to align event investments to territory and account priorities
  • Develop scalable playbooks for event planning, activation, and follow-up
• Execution & Leadership (Player/Coach)
  • Lead, mentor, and develop a team of 2 field marketing professionals
  • Personally manage high-impact tier-1 tradeshows and strategic events
  • Oversee execution of 12+ major tradeshows annually
  • Drive execution of hundreds of field and partner events per year
  • Ensure seamless coordination across Marketing, Sales, SDRs, Customer Success, and Partners
• Operational Excellence
  • Build and manage event budgets with strong ROI discipline
  • Create standardized processes for planning, tracking, and post-event follow-up
  • Implement scalable systems for registration tracking, lead capture, routing, and SLA enforcement
  • Drive pre-event enablement and post-event follow-up rigor across Sales teams
• Data & Performance Management
  • Define and track KPIs including:
    • Pipeline generated and influenced
    • Revenue attribution
    • Cost per opportunity
    • Event ROI
    • Meeting conversion rates
  • Deliver executive-level reporting and insights
  • Continuously optimize channel mix based on performance data
  • Leverage marketing automation and CRM systems to measure impact

Requirements

Qualifications / Experience / Technical Skills

• 8+ years of B2B marketing experience, with 4+ years in field marketing or event marketing

• Experience owning and executing large-scale tradeshows and high-volume field programs

• Demonstrated success driving pipeline and revenue through event programs

• Experience managing budgets and forecasting ROI

• Proven people manager with experience leading and developing direct reports

• Experience in high-growth B2B SaaS environments

• Familiarity with Salesforce and marketing automation platforms

Soft Skills / Personal Characteristics

• Strong analytical and operational mindset — comfortable working in CRM and marketing automation systems

• Ability to operate both strategically and tactically

• Exceptional cross-functional collaboration skills

• Highly organized with strong project management capabilities

• Strong executive presence and comfort presenting performance metrics to leadership

• Passion for process improvement and scalable systems

For candidates based in California, the expected salary range for this role is $150,000–$180,000+ bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for bonus, equity, and benefits.

(REQ ID: 2650)

Responsibilities

We are looking for a sharp, commercially minded FP&A Manager to serve as the dedicated finance business partner to our Sales organization. In this high-visibility role, you will sit at the intersection of finance and revenue, helping Sales leaders understand their business performance, make data-driven decisions, and hit their targets. This is not a back-office role. You'll be a trusted advisor embedded in the commercial side of the business.You will also be responsible for:

Business Partnering & Strategic Support

• Serve as the primary finance point of contact for Sales leadership, building strong relationships and providing proactive financial guidance

• Translate complex financial data into clear, actionable insights for non-finance stakeholders

• Attend key Sales leadership meetings to stay close to the business and surface financial risks and opportunities in real time

Expense Planning & Cost Management

• Own the end-to-end budget for the Sales organization, covering headcount, sales commissions and incentive compensation, travel & entertainment, tools and software, and discretionary program spend

• Partner with Sales leaders to build bottoms-up expense plans that align with revenue targets and overall company cost structure

• Track and manage Sales OPEX throughout the year, holding budget owners accountable and flagging material variances early

• Evaluate the ROI of Sales investments — including headcount additions, field events, enablement programs, and third-party vendors — and provide clear recommendations on resource allocation

• Model the financial impact of organizational changes such as team expansions, restructurings, or territory realignments

• Support month-end close by reviewing Sales expense accruals, ensuring accuracy and proper coding in partnership with Accounting

• Drive headcount planning in coordination with HR and Talent Acquisition, maintaining an up-to-date view of open roles, hiring timelines, and their cost impact

Forecasting & Planning

• Own the revenue forecast for the Sales organization, partnering closely with Sales Ops and RevOps to ensure accuracy and accountability

• Lead the annual budgeting process and maintain rolling forecasts that reflect the latest business assumptions

• Build scenario models to help Sales leadership understand the cost and revenue trade-offs of key decisions

Reporting & Analysis

• Build and maintain dashboards tracking key Sales KPIs, including quota attainment, pipeline coverage, CAC, revenue by segment/region/product, and Sales efficiency ratios

• Conduct variance analysis on revenue and Sales OPEX versus budget and prior periods, clearly communicating findings to leadership

• Analyze sales productivity and capacity to inform hiring plans and cost-per-head benchmarks

Process Improvement

• Drive improvements in expense forecasting accuracy, reporting cadence, and financial controls across the Sales organization

• Partner with Sales Ops, RevOps, and Accounting to ensure clean data flows and consistent expense reporting

• Support the implementation or optimization of financial planning and expense management tools

Requirements

Qualifications / Experience / Technical Skills

• 5+ years of progressive finance experience, with at least 2 years in an FP&A or finance business partner role supporting a commercial/revenue function

• Strong financial modeling skills and fluency in Excel or Google Sheets; experience with planning tools such as Anaplan is a plus

• Proficiency in pulling and analyzing data from BI tools and CRM platforms (Salesforce preferred)

• Solid understanding of SaaS or B2B revenue metrics and sales compensation mechanics (preferred)

Soft Skills / Personal Characteristics

• Exceptional communication skills — able to tell a clear story with data and confidently engage with senior Sales leaders

• A collaborative, low-ego style with a bias toward action and problem-solving

For candidates based in California, the expected salary range for this role is $130,000–$180,000. Actual compensation will be determined based on experience, skills, and other job-related factors. 

(REQ ID: 2617)