Senior Manager, Field Systems & AI

What You'll Do

• Partner with the field: Lead working sessions with Sales and Revenue Operations leaders and stakeholders to map processes, policies, and friction across lead management, pipeline, forecasting, CPQ, and order fulfillment.
• Translate requirements into solutions: Turn business needs into clear designs, build prototypes quickly, and work with developers to harden and scale them into production.
• Apply AI to real work: Use AI platforms to automate rote tasks and give sellers and operations users more selling time, and measure the impact in time saved, cycle time, and adoption.
• Own the RevOps tech stack: Administer and improve our sales platforms, setting the standard for what excellent automation and data management look like.
• Champion a builder culture: Help the revenue organization think beyond the current SaaS stack, while keeping solutions practical, scalable, and grounded in real outcomes.

Who You Are

• You bring at least 10 years of experience from one of two backgrounds: a Revenue Operations role with strong technical skills and hands-on ownership of GTM tech stacks, or a strategic systems integration consulting background working with enterprise B2B high-tech companies to implement automation across their customers' commercial lifecycle operations.
• You understand enterprise sales and revenue operations processes and policies deeply, and you are comfortable leading the conversation with senior Sales stakeholders.
• You are equally at home in the build: turning a whiteboard into a prototype and a prototype into a production system.
• You are not a casual user of AI. You have direct, demonstrable experience using AI to automate work and make commercial teams more productive, and you can back it with metrics.

What You Bring

• GTM platform depth: Hands-on administration and configuration of enterprise GTM tech stacks, including Salesforce, Gong, Clay, HubSpot, and LinkedIn Sales Navigator, with a clear point of view on what excellence looks like for automation and data management.
• Revenue operations fluency: Working knowledge of RevOps processes and policies across lead management, account and territory management, pipeline management and forecasting, CPQ, and order fulfillment, spanning the full commercial lifecycle.
• Applied AI experience: Direct experience with AI platforms such as Claude, OpenAI, and Gemini for task automation and development, with results you can quantify.
• Data and analytics rigor: Strong grounding in data management best practices and analytics or BI.
• A builder mindset: Willingness to embrace an AI-centric culture, think beyond today's SaaS stack, and make sure ideas move from concept to practical, scalable production.

Nice to Have

• Programming skills: Python, TypeScript, SQL, etc.
• Integration and orchestration: Experience with Workato or another integration or orchestration platform.