Quick Summary
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,
The GTM Engineer is Agiloft's hands-on AI and systems practitioner for the entire go-to-market organization, spanning Marketing, Pipeline Development, New Logo Sales, Account Management Sales, Customer Success, Renewals, Deal Desk, and Revenue Operations. This person understands how teams work across the customer lifecycle, where handoffs and manual work create friction, and how to use AI capabilities in existing platforms to improve execution and outcomes.
A central charter of this role is to improve connectedness of GTM systems and data, make full use of AI features already available in platforms such as CRM, sales engagement, forecasting, and marketing automation, and turn proven workflows into repeatable practices and information flows seamlessly across the revenue lifecycle. Close engagement with GTM teams helps the GTM Engineer understand the buying journey, prioritize useful solutions, and measure adoption and value from pipeline through retention and expansion.
Reporting to the SVP GTM Intelligence with a dotted line to the VP AI Operations, the GTM Engineer works across GTM leaders, AI Operations, data and integrations, IT systems owners, and the AI builders community. GTM leadership provides business priorities; AI Operations provides architectural guidance, governance, and support for more complex AI engineering.
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Partner with leaders and frontline teams across Marketing, Pipeline Development, New Logo Sales, Account Management Sales, Customer Success, Technical Support, Renewals, Deal Desk, and Revenue Operations to understand needs and prioritize AI opportunities across the full customer lifecycle.
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At the direction of the GTM AI Council, executes the GTM priorities roadmap with GTM leadership and AI Operations, focusing first on better use of existing platform capabilities and connected workflows before recommending new tooling or custom development.
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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. Success will be ultimately measured by improving rep quota productivity and distribution of attainment.
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Define success measures for each initiative, including user adoption, time saved, handoff quality, speed to action, pipeline influence, customer outcomes, and retention; use results and team feedback to refine priorities.
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Configure, connect, and optimize AI capabilities within existing GTM platforms, such as CRM, sales engagement, forecasting, marketing automation, and customer success tools; create practical workflows for enrichment, routing, account prioritization, meeting follow-up, customer health, contract triggers, and renewals.
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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.
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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.
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Monitor the performance and adoption of deployed workflows; maintain documentation, testing, human review where appropriate, ownership, and handoff practices so solutions remain reliable and useful.
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Evaluate adoption and user feedback, identify barriers to effective utilization, and implement improvements that increase workflow effectiveness.
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Assess the AI features and integration options already available in GTM platforms, identify gaps, and coordinate any new tool recommendations with AI Operations and system owners before adoption.
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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.
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Participate in Agiloft’s 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 Ops specialists for complex engineering or architecture needs.
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Keep the VP AI Operations and GTM leadership informed about priorities, delivery, adoption, and blockers; partner with the Principal Data and Integrations Architect and other technical teams when initiatives require data pipelines, warehouse connectivity, or more complex integrations.
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Coach GTM teams on using approved AI capabilities responsibly, support change management and enablement across departments, and help teams adopt connected workflows in their day-to-day work, in conjunction with the GTM Enablement team.
Other duties as assigned.
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Bachelor's degree in Business, Marketing, Communications, Information Systems, a related field, or equivalent practical experience.
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7+ years experience in GTM, revenue operations, business systems, or a customer-facing function at a B2B SaaS company, with a strong understanding of how Marketing, Pipeline Development, Sales, Account Management, Customer Success, and Renewals work together.
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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.
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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.
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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.
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Practical understanding of what AI-powered platform features and workflows can do, their limitations, and when to involve AI Operations for deeper model, security, data, or architecture decisions; willingness to grow technical fluency over time.
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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.
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Strong customer and user orientation, with the ability to understand the buyer journey and the needs of internal teams from lead generation through renewals and expansion.
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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.
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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.
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SaaS industry experience required.
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Familiarity with CLM, legal tech, eDiscovery, or adjacent enterprise software serving legal or procurement buyers
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Exposure to enterprise AI governance, including policy-based controls, intake, and build registries, and experience partnering with a centralized AI or data operations function.
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Familiarity with data warehouses such as Snowflake or with common integration patterns connecting GTM applications and data sources.
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Experience participating in customer events, industry conferences, or field sales activities that deepen understanding of buyer behavior and the competitive landscape.
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Experience in a private equity-backed SaaS organization
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- 28 days ago
Listing Details
- Posted
- September 17, 2026
- First seen
- September 17, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 28
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 16, 2026
Signal breakdown
Agiloft, Inc. is a technology company specializing in contract lifecycle management (CLM) and business process management software, utilizing a no-code platform and AI to help businesses automate and streamline their contract processes.
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