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.

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.

Bachelor's degree in Business, Marketing, Communications, Information Systems, a related field, or equivalent practical experience.

Experience in a GTM, revenue operations, or customer-facing role at a B2B SaaS company, with exposure to the full revenue cycle from pipeline to renewal.

Experience with CRM, marketing automation, and CS platforms such as Salesforce, HubSpot, Gainsight, or Outreach as an admin and/or power user or AI workflow integration target.

1 to 3 years of direct experience leading AI optimization of GTM workflows, with demonstrated results across sales, marketing, customer success, or revenue operations and examples of initiatives conceived and driven to completion.

Base-level Python scripting skills sufficient to read, modify, and execute automation scripts, plus the aptitude and commitment to deepen scripting, AI engineering, and architectural fluency through structured learning.

Foundational knowledge of RAG, embeddings, prompt engineering, agentic workflows, and how LLM-powered tools are built and integrated; technical aptitude to operate as an L4 AI Builder alongside AI Operations.

Familiarity with AI workflow orchestration platforms such as n8n, Tines, LangChain, or equivalents, including connecting AI tools to GTM systems of record; familiarity with AI-assisted coding tools such as Claude Code or OpenAI Codex.

Strong customer orientation and experience engaging customers, understanding the buying journey, and using that knowledge to identify AI leverage in the GTM motion.

Ability to work as a credible strategic partner to senior GTM leaders, translate AI capabilities into business outcomes, and collaborate respectfully across GTM functions and AI Operations.

Genuine passion for practical AI applications in revenue contexts, with curiosity and self-directed learning that support continuous skill development.

SaaS industry experience required.

Familiarity with CLM, legal tech, eDiscovery, or adjacent enterprise software serving legal, procurement, or finance buyers.

Exposure to enterprise AI governance practices, including policy-based controls, intake processes, and AI build registries, and experience collaborating with a centralized AI or data operations function.

Familiarity with Snowflake or equivalent cloud data platforms as a consumer of data infrastructure for AI use cases.

Experience participating in customer events, industry conferences, or field sales activities that deepen understanding of buyer behavior and the competitive landscape.

Experience in a private equity-backed SaaS organization.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.

 

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Applications will be reviewed as submitted. There will be no application deadline for this opportunity.