VP, Revenue Applied AI & Data

About Nintex:

At Nintex we are transforming the way people work everywhere.

As the global standard for process intelligence and automation were trusted by over 10000 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 theirvery 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.

About the role:

The VP Revenue Applied AI & Data leads the strategy architecture and hands-on execution of AI-driven solutions across the Revenue organization.
This role owns the end-to-end applied AI function for Revenue spanning use-case identification solution architecture data foundations model development vendor strategy and budget and is accountable for delivering scalable production-ready AI capabilities that drive measurable business outcomes.

Operating with a lean production-first delivery model the VP both sets direction and personal builds ensuring AI moves from concept to deployed monitored value-generating systems embedded in everyday Revenue workflows.

Your contribution will be:

Architect build and deploy production-grade AI agents and LLMpowered solutions embedded within daily internal Revenue workflows.
Evaluate and execute build vs. buy vs. platform decisions leveraging Nintex Automation CE and K2 where appropriate partnering with Product and Engineering on shared infrastructure and developing custom agentic systems using Claude and other foundation models for unique internal needs.
Own the AI functions budget vendor relationships and technical roadmap for internal applications.
Define track and report key performance indicators (KPIs) that link AI investments to measurable outcomes in efficiency revenue generation and cost optimization; present progress to leadership on a monthly basis.
Establish clear release standards for AI initiatives ensuring each deployment has defined outcomes an accountable workflow owner and production monitoring in place.
Communicate Revenue AI strategy investment rationale and return on investment (ROI) to executive leadership including the CEO CFO and Board translating technical concepts into audience-appropriate insights.
Design and deploy AI-driven automation across the full customer lifecycle including pipeline qualification proposal generation onboarding QBR preparation renewal forecasting and customer health scoring.
Lead the automation of finance workflows including reporting variance analysis contract analysis audit preparation and spend optimization.
Identify and eliminate manual high-friction operational processes across the organization; enable scalable adoption through self-service AI tools for business teams.
Own and evolve the data engineering foundation including data pipelines warehouse architecture data quality standards and governed access layers.
Develop and operationalize proprietary models trained on Nintex data (customer product usage and operational data) to improve retention expansion forecasting and business visibility.
Establish and enforce governance frameworks for responsible reliable and scalable AI deployment including model evaluation monitoring and data privacy and security standards.
Operate with a lean outcome-focused delivery model driving measurable impact through cross-functional partnerships with business and technical teams.
Define and evolve the organizational structure and reporting model for the AI function in partnership with leadership aligning resources to areas of highest leverage.
Set and reinforce a high-performance culture emphasizing rapid iteration production-first delivery and clear ownership with defined timelines for all initiatives.

To be successful we think you need:

Education

Bachelors degree in Computer Science Data Science Engineering or a related field (or equivalent practical experience).

Years of Experience

12 years building and deploying applied AI machine learning or dataengineering systems in production environments with 5 years leading high-performing technical teams or functions.

Preferred Qualifications:

Advanced degree (MS or PhD) in Computer Science Machine Learning Data Science or a related discipline.
Demonstrated experience designing and shipping LLM-powered and agentic systems to production at scale (prompt orchestration retrieval evaluation and monitoring).
Background in mid-market and/or private equitybacked SaaS environments with an understanding of their operating cadence growth expectations and capital discipline.
Hands-on experience with GTM / Revenue systems (e.g. CRM CPQ customer success and billing platforms) and the data they generate.
Experience with modern data platforms and tooling (e.g. cloud data warehouses/lakehouses ELT/transformation orchestration) and MLOps/LLMOps practices.
Familiarity with workflow automation / iPaaS platforms such as Nintex Automation CE K2 or comparable tools.
Track record of partnering with Security Legal and Privacy functions to deploy AI responsibly and compliantly.

Whats 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 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: Compensation Range (US ONLY): 275000 - 375000 USD annually. On target compensation refers to the base salary and applicable variable target for this role. The range is an estimate base pay will ultimately be decided at the offer stage based on an individual candidates skills and experience aligned with the needs of the role. Base pay may vary based on several factors including geographic location role specific qualifications and seniority. Nintex also offers a competitive benefits package including paid time off twelve paid holidays 401(k) with employer match and more.

Nintex participates in E-Verify for work authorization. We are an Equal Employment Opportunity Organization.