Job Title

Vice President of Engineering Process Intelligence, Data & AIVice President of Engineering Process Intelligence, Data & AIAt Nintex, we are transforming the way people work, everywhere.As the global standard for process intelligence and automation, were trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our peoples curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.Working at Nintex as an engineer means building more than just software; its about making a tangible impact with every line of code. Our engineers are process experts, developing the industrys most complete process and automation platform to transform the way people work. If youre interested, curious and want to learn and do more, the sky is the limit here. We take a solutions-oriented and collaborative approach, constantly innovating our business and products.About the role :We are seeking a highly strategic and execution-oriented Vice President of Engineering to lead our next chapter of innovation in artificial intelligence, data-driven platforms and process intelligence. This executive will own the technical direction, architecture, and delivery of our AI and data engineering capabilities, as well as modernizing our process intelligence products to ensure our platform is intelligent, scalable, and enterprise ready.You will lead high-performing engineering teams across three strategic priorities partnering closely with product, platform and go-to-market leaders:Advancing our AI engineering capabilities driving the development of common AI frameworks, multi-agent architecture, AI infrastructure & governance, model selection & training and context engineering that accelerates AI capabilities for customer to build, operate, manage and optimize automation solutions on the Nintex platformModernizing and differentiating our process intelligence capabilities that help customers identify, govern and optimize processes across their organizationBuilding a centralized data intelligence platform that serves as the single source of truth for customer analytics, internal business intelligence, and AI needs across all products.This role offers a unique opportunity to own a growing vertical SaaS product as well as strategic platform capabilities to shape the Nintex vision through execution.Your contribution will be :Strategic LeadershipSet the vision, define and execute a comprehensive engineering roadmap aligned with business strategyCollaborate closely with Product, Data Science, and Platform teams to evangelize development & adoption to accelerate platform strategyDrive key decisions around architecture, build vs. buy, open-source, technical debt, data governance, and investment priorities.Represent our Process Management, Data and AI strategy to executive stakeholders, customers, partners, and industry as needed.Technical Leadership Build & own common AI frameworks, AI platform and infrastructure components and multi agent architecture, RAG patterns, orchestration & governance patterns across the platformCreate systems to leverage and experiment with best of breed AI innovation in the industry balancing performance, cost and quality tradeoffsEvolve process intelligence capabilities using modern cloud native multi-tenant technology to unlock superior customer experience, development velocity & operational efficiencyLead design and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta LakeDrive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governanceEnsure platform scalability, reliability, and performance to support rapidly growing usage while solving for ease of adoption by customer & internal teamsRecruit, grow, and lead exceptional engineering talent across AI and data engineeringFoster a culture of technical excellence, innovation, collaboration and continuous learningBuild urgency to move fast while balancing engineering excellence, scalability and securitySuccess in the first 18 monthsLaunch agentic AI build experience for full scale process automation solutions leveraging 5+ product domainsEstablish AI best practices to accelerate 20+ runtime AI capabilities across the platformEvolve platform intelligence capabilities to a modern cloud native system seamlessly integrated within the Nintex Automation PlatformSuccessfully migrate 5+ major products to the unified data platformAchieve 99.9% platform uptime with best-in-class data latency SLAsEnable 5+ new customer-facing analytics features powered by the platform, while ensuring data consistency between internal and customer facing systemsDemonstrated improvement deployment velocity and cost effectiveness for data & AI use cases across engineering teamsTo be successful, we think you need :BS or higher in Computer Science, Engineering, or a related technical field; advanced degree in AI or Data Engineering a plus12+ years of engineering leadership experience in cloud native SaaS and/or platform companies, including 5+ years in AI and data-intensive environmentsProven track record of launching enterprise capabilities leveraging AI / ML workflows including modern LLM, SLM, LAM, Reasoning, Multi-Modal based generative approachesExperience designing and scaling data platforms (batch and real-time), data pipelines, and systems that power enterprise-grade AI solutions; preferably leveraging DatabricksDemonstrated ability to build and scale cross-functional teams spanning product, data and/or AI engineeringStrong track record of translating business goals into technical execution plans and measurable outcomesExperience managing global engineering organizations across multiple time zones, fostering clarity, consistency and collaborationClear, compelling communicator with the ability to influence across technical and non-technical audiences both within and outside the organizationDirect experience with public cloud IaaS and PaaS (e.g., AWS, Azure, GCP) and familiarity with modern data & ML architecture paradigmsIntellectually curious, hands-on leader with a strong bias to action and ability to lead teams by exampleWhats in it for you ?Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is a hybrid role in our local Nintex office.While our offerings differ from country to country, we offer our entire global workforcean array of exciting perks and benefits, includingGlobal Gratitude and Recharge DaysFlexible, paid time off policyEmployee wellness programs and counseling resourcesMeaningful peer recognition and awardsPaid parental leaveInvention/patenting assistanceCommunity impact, paid volunteer time, and opportunitiesIntercultural learning and celebrationMultiple tools through which to learn and grow, and an incredible global communityBecome apart of the Nintex team, learn about our culture, and benefits that help our people thrive.Legitimate, open positions with Nintex can be found here on our careers page. We encourage you to apply directly. Our recruiters and hiring managers do not ask candidates for any sensitive personal identifiable information during the application or interview process. If an offer of employment is made, this type of data may be collected through our applicant tracking system or another secure means. Wed welcome a chance to consider your qualifications for an open role and thank you for your interest in Nintex. #J-18808-Ljbffr