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 GTM Engineer turns AI and automation opportunities into reliable workflows across Agiloft’s go-to-market organization. Working with Marketing, Pipeline Development, New Logo Sales, Account Management Sales, Customer Success, Renewals, Deal Desk, and Revenue Operations, this role connects systems and data, improves handoffs, and helps teams act on useful insights throughout the customer lifecycle.
The role is a hands-on technical contributor responsible for configuring, building, testing, deploying, troubleshooting, and maintaining AI-enabled workflows within approved GTM platforms. It focuses on maximizing existing capabilities across CRM, sales engagement, forecasting, marketing automation, and customer success systems before introducing additional tools or custom solutions.
Through reliable automation, improved data quality, and streamlined processes, the GTM Engineer helps reduce manual effort, accelerate execution, improve the customer experience, and increase GTM productivity. The role combines technical delivery with practical user enablement and measurable business improvements.
Reporting to the SVP GTM Intelligence, with a dotted line to the VP AI Operations, the GTM Engineer works with GTM leaders, AI Operations, data and integrations, IT, system owners, and the AI Builders community. GTM leaders set business priorities; AI Operations provides architecture and governance guidance and supports complex AI engineering.
Job Responsibilities
Identify and Prioritize Opportunities
Partner with leaders and frontline teams across the GTM organization to identify workflow inefficiencies, automation opportunities, and system integration needs across the customer lifecycle.
Translate business needs into into technical specifications, workflow designs, and actionable implementation plans. with GTM leadership and AI Operations.
Evaluate existing platform capabilities and integration options before recommending new tools or custom builds.
Assess technical feasibility, implementation effort, dependencies, and expected business value to inform prioritization decisions.
Stay close to sellers, customer-facing teams, and customers to understand the buying journey, operational pain points, and opportunities to improve the experience from lead generation through onboarding, expansion, and renewal.
Define measures for each initiative, such as adoption, time saved, handoff quality, speed to action, pipeline influence, customer outcomes, and retention; use results and feedback to refine the roadmap.
Build and Improve GTM AI Workflow Delivery
Independently configure, build, test, deploy, and maintain AI-enabled workflows and automations within approved GTM platforms.
Develop and maintain integrations using native platform capabilities, APIs, webhooks, and low-code/no-code automation tools to connect GTM systems and streamline data movement.
Diagnose workflow failures, integration issues, and data inconsistencies; implement corrective actions to improve reliability and performance.
Establish testing, monitoring, and quality validation practices to ensure workflows operate accurately and consistently as GTM processes evolve.
Translate workflow designs into functional solutions, including business rules, data mappings, conditional logic, exception handling, and appropriate human review.
Configure and connect AI capabilities in GTM platforms to support use cases such as enrichment, routing, account prioritization, meeting follow-up, customer health, contract triggers, and renewals.
Own delivery of GTM AI initiatives from requirements and workflow design through configuration, testing, enablement, and ongoing improvement. Coordinate integrations and more complex technical work with AI Operations, data and integrations teams, IT, vendors, and GTM system owners.
Work with department stakeholders and the GTM AI Builders community to connect processes across teams, reduce duplicate work, share effective practices, and support responsible adoption.
Monitor quality and adoption, troubleshoot issues, document ownership and handoffs, and incorporate human review where appropriate to keep workflows reliable and useful.
Partner with AI Operations, data and integrations teams, IT, and system owners when implementations require complex architecture, advanced engineering, or specialized technical expertise.
Drive Adoption and Cross-Functional Enablement
Coach GTM teams on approved AI capabilities and automated workflows, provide practical enablement, troubleshooting support, and help embed effective workflows into everyday work.
Partner with GTM stakeholders and the AI Builders community to identify opportunities to connect processes, reduce duplicate work, and share effective practices.
Stay current on practical AI applications for GTM, platform capabilities, workflow automation, and integration patterns; deepen technical skills over time with support from AI Operations.
Support implementation and change management activities to ensure new workflows are incorporated into everyday GTM operations.
Participate in the AI Builders Program at the L2 or L3 level appropriate to assessed skills and responsibilities; register applicable builds in the AI Build Registry, follow POL-AIOPS-001 and related governance policies, and engage L4 AI Ops specialists for complex architecture or engineering needs.
Evaluate adoption and user feedback, identify barriers to effective utilization, and implement improvements that increase workflow effectiveness.
Maintain Technical Standards and Cross-Functional Alignment
- Participate in the AI Builders Program at the L2 or L3 level appropriate to the role's assessed skills and responsibilities.
- Register applicable builds in the AI Build Registry, follow POL-AIOPS-001 and related governance policies, and engage L4 AI Operations specialists for complex architecture or engineering needs.
- Apply approved standards for data handling, access controls, testing, documentation, and workflow maintenance.
- Keep GTM leadership and the VP AI Operations informed of implementation progress, technical dependencies, adoption, and operational issues.
- Stay current on GTM platform capabilities, AI-enabled automation, integration techniques, and emerging technologies that may improve workflow effectiveness
- Other duties as assigned.
Required Qualifications
Bachelor's degree in Business, Marketing, Communications, Information Systems, a related field, or equivalent practical experience.
3-5 years of relevant experience in B2B SaaS GTM, revenue operations, business systems, or a customer-facing function, with an understanding of how Marketing, Pipeline Development, Sales, Account Management, Customer Success, and Renewals work together.
Hands-on experience administering, configuring, integrating, or serving as a power user of GTM systems such as Salesforce, HubSpot, Clari, Salesloft, Clay, Gainsight, Outreach, or comparable platforms, including their AI capabilities.
Experience identifying high-value GTM opportunities, improving workflows with existing AI features or automation, and carrying cross-functional initiatives from requirements through rollout, adoption, and measurement.
Demonstrated experience building and maintaining production workflows using low-code/no-code automation platforms, APIs, webhooks, and native application integrations.
Strong troubleshooting and analytical skills, including the ability to diagnose technical issues across interconnected systems and data flows.
Ability to independently translate business requirements into functional solutions while recognizing when specialized engineering or architectural support is required.
Ability to map processes and data flows across GTM systems, work with APIs or integration and low-code tools as needed, troubleshoot operational issues, and partner with specialists on more complex technical implementations. Heavy coding experience is not required.
Practical understanding of what AI-powered platform features and workflows, their limitations, and when to involve AI Operations on model, security, data, or architecture decisions;
Experience using or evaluating workflow automation and integration capabilities in GTM tools; ability to configure existing platforms and collaborate with system administrators, vendors, and technical partners to connect them.
Strong customer focus and communication skills, including the ability to translate business needs into clear requirements, align stakeholders, and explain outcomes to senior leaders.
Ability to work across GTM departments and with AI Operations, data, IT, and other partners; translate business needs into clear requirements, align stakeholders, and communicate outcomes to senior leaders.
Curiosity about practical AI applications in revenue contexts, a willingness to learn new platforms and techniques, and a focus on solutions that teams adopt and sustain.
Strong problem-solving, critical thinking, attention to detail, and ability to work independently across multiple technical priorities.
SaaS industry experience required.
Preferred Qualifications
Familiarity with CLM, legal tech, eDiscovery, or related enterprise software serving legal or procurement buyers
Exposure to enterprise AI governance, including policy-based controls, intake, and build registries, and experience partnering with a centralized AI or data operations
Familiarity with data warehouses such as Snowflake or with common integration patterns connecting GTM applications and data sources.
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.