Nintex
VP, Revenue Applied AI & Data
Bellevue, WA, United States · Vp
Sponsorship not specifiedDetected 8 days ago
Machine LearningData EngineeringData ScienceLLMsAgentic AILLMOpsMLOpsCRMForecastingCustomer SuccessCadenceUnityLeadershipCollaborationProblem SolvingVariance Analysis
About the role
- 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.
Responsibilities
- We improve their lives through the technology we build.
- Driven by passion and accountability, we take initiative, measure progress, and deliver results.
- Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.
- Architect, build, and deploy production-grade AI agents and LLMpowered solutions embedded within daily internal Revenue workflows.
- Own the AI function's budget, vendor relationships, and technical roadmap for internal applications.
- 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.
- Lead the automation of finance workflows, including reporting, variance analysis, contract analysis, audit preparation, and spend optimization.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Nice to have
- 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 equity-backed 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.
- What's in it for you?
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Benefits
- 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.
Company info
- At Nintex, we are transforming the way people work, everywhere.
- 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 are committed to fostering a workplace that supports amazing people in doing their very best work every day.
- Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big.
This listing is sourced directly from Nintex's careers page and normalized into a canonical job model.