Vice President of Engineering, Nintex
Process Intelligence, Data & AI
Salary not provided
AWS
GCP
Azure
Azure Databricks
Expert level
London
Intelligent process automation platform
Be an early applicant
Intelligent process automation platform
1001+ employees
B2BInternal toolsSaaSAutomation
Be an early applicant
Salary not provided
AWS
GCP
Azure
Azure Databricks
Expert level
London
1001+ employees
B2BInternal toolsSaaSAutomation
Company mission
To help companies unlock the power of endless possibilities.
Role
Who you are
- If you’re interested, curious and want to learn and do more, the sky is the limit here
- 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 the job involves
- 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
- 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
- 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
- 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
- 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
Salary benchmarks
Our take
Washington-based Nintex has become the global standard for process intelligence and automation, offering the Nintex Process Platform to accelerate a company’s digital transition by managing, automating and optimizing business processes.
The workflow software company, which had a primary focus on contract management lifecycles for HR, legal and sales use cases, boasts over 10,000 public and private sector organizations across nearly 100 countries as customers, from the likes of Amazon and LinkedIn to Microsoft and AstraZeneca.
Most recently, the company announced the launch of Ninetex Apps, a low-code application development platform that allows businesses, IT teams, and partners to quickly build and deploy custom, business-critical applications. With this, the company is positioned for growth, empowering companies to reduce technology spraw, and accelerate their business processes, ultimately helping them stay ahead of an increasingly fast-paced data-driven environment.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-3% employee growth in 12 months
Company
Funding (1 round)
Mar 2013
$135m
SERIES B
Total funding: $135m
Company benefits
- Health: Gain the healthcare coverage you need to be the healthiest you
- Career Development: Advance your career through a wealth of employee resources
- Flexible time off: Enjoy flexible schedules and vacation time to balance life and work.
- Wellness: Join a work environment that prioritizes your mental wellness
- Recognition: Receive incentives and rewards for work that is changing the world
Company HQ
West Bellevue, Bellevue, WA
Leadership
Amit Mathradas
(CEO)Joined Ninetex in 2023 as CEO. Prior to that, they were the President and COO at Avalara, the GM and Head of SMB/Merchant for NA at PayPal, and a Senior VP & GM at Web.com.
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