AI Ops Engineer GTM

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.

Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.

We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

Position Overview

The AI Ops Engineer, GTM is Agiloft’s dedicated AI practitioner for the go-to-market organization, shaping and executing the AI vision across Sales, Marketing, Customer Success, Revenue Operations, and the broader revenue function. Equal parts strategist and builder, this person understands how GTM teams win, where they lose time, and where AI can create meaningful leverage.

Customer and market proximity is a core requirement. The role stays actively involved with customers and the sales process to understand what it takes to sell Agiloft, retain customers, and grow accounts, then uses that insight to experiment, measure outcomes, and scale successful AI-powered GTM patterns.

Reporting to the SVP GTM Intelligence with a dotted line to the VP AI Operations, this role partners with GTM leadership for strategic direction while AI Operations provides architectural standards, governance, tooling access, and organizational alignment. Working with the GTM AI Builders community, the AI Ops Engineer prioritizes and delivers solutions that move the revenue needle while continuously developing AI engineering skills and helping transform how Agiloft goes to market.

Job Responsibilities

AI Vision and GTM Strategy

• Serve as the primary AI thought leader for GTM, helping Sales, Marketing, Customer Success, and Revenue Operations identify and prioritize the highest-value opportunities to eliminate friction, accelerate revenue, improve customer experience, and increase seller productivity.
• Develop and maintain a GTM-specific AI roadmap aligned with the broader AI Operations strategy, balancing near-term workflow optimization with longer-term transformation and sequencing investments against the highest-impact pain points.
• Maintain active involvement with customers and the sales process to ground AI priorities in market realities and identify moments where AI can change outcomes for both the team and the buyer.
• Contribute the GTM perspective to Agiloft’s external AI narrative and thought leadership, and measure initiative impact through adoption, productivity, pipeline influence, customer outcomes, and revenue metrics.

AI Execution and Workflow Optimization

• Design, scope, and build AI copilots, agents, retrieval-augmented workflows, and human-in-the-loop automations that augment—not replace—GTM teams across use cases such as pipeline management, outbound sequences, customer health, content generation, meeting intelligence, and contract and renewal triggers.
• Own end-to-end delivery of large-scale GTM AI solutions from concept to production, coordinating with GTM AI Builders, AI Operations, and technical stakeholders.
• Partner with the GTM AI Buil…