About Nintex:
At Nintex, we are transforming the way people work, everywhere.
As the global standard for process intelligence and automation, we're 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 people’s 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 in engineering:
Working at Nintex as an engineer means building more than just software; it’s about making a tangible impact with every line of code. Our engineers are process experts, developing the industry’s most complete process and automation platform to transform the way people work. If you’re 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 platform
- Modernizing and differentiating our process intelligence capabilities that help customers identify, govern and optimize processes across their organization
- Building 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 Leadership
- Set the vision, define and execute a comprehensive engineering roadmap aligned with business strategy
- Collaborate closely with Product, Data Science, and Platform teams to evangelize development & adoption to accelerate platform strategy
- Drive 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 platform
- Create systems to leverage and experiment with best of breed AI innovation in the industry balancing performance, cost and quality tradeoffs
- Evolve process intelligence capabilities using modern cloud native multi-tenant technology to unlock superior customer experience, development velocity & operational efficiency
- Lead design and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta Lake
- Drive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governance
- Ensure platform scalability, reliability, and performance to support rapidly growing usage while solving for ease of adoption by customer & internal teams
Engineering Management
- Recruit, grow, and lead exceptional engineering talent across AI and data engineering
- Foster a culture of technical excellence, innovation, collaboration and continuous learning
- Build urgency to move fast while balancing engineering excellence, scalability and security
Success in the first 18 months
- Launch agentic AI build experience for full scale process automation solutions leveraging 5+ product domains
- Establish AI best practices to accelerate 20+ runtime AI capabilities across the platform
- Evolve platform intelligence capabilities to a modern cloud native system seamlessly integrated within the Nintex Automation Platform
- Successfully migrate 5+ major products to the unified data platform
- Achieve 99.9% platform uptime with best-in-class data latency SLAs
- Enable 5+ new customer-facing analytics features powered by the platform, while ensuring data consistency between internal and customer facing systems
- Demonstrated improvement deployment velocity and cost effectiveness for data & AI use cases across engineering teams
To 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 plus
- 12+ years of engineering leadership experience in cloud native SaaS and/or platform companies, including 5+ years in AI and data-intensive environments
- Proven track record of launching enterprise capabilities leveraging AI / ML workflows including modern LLM, SLM, LAM, Reasoning, Multi-Modal based generative approaches
- Experience designing and scaling data platforms (batch and real-time), data pipelines, and systems that power enterprise-grade AI solutions; preferably leveraging Databricks
- Demonstrated ability to build and scale cross-functional teams spanning product, data and/or AI engineering
- Strong track record of translating business goals into technical execution plans and measurable outcomes
- Experience managing global engineering organizations across multiple time zones, fostering clarity, consistency and collaboration
- Clear, compelling communicator with the ability to influence across technical and non-technical audiences both within and outside the organization
- Direct experience with public cloud IaaS and PaaS (e.g., AWS, Azure, GCP) and familiarity with modern data & ML architecture paradigms
- Intellectually curious, hands-on leader with a strong bias to action and ability to lead teams by example
What’s 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 workforce an array of exciting perks and benefits, including
- Global Gratitude and Recharge Days
- Flexible, paid time off policy
- Employee wellness programs and counseling resources
- Meaningful peer recognition and awards
- Paid parental leave
- Invention/patenting assistance
- Community impact, paid volunteer time, and opportunities
- Intercultural learning and celebration
- Multiple tools through which to learn and grow, and an incredible global community
View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.
Equity Statement: Preference will be given to People Living with Disability who are members of the designated groups in line with the Employment Equity Plan and Targets of the Company.