GTM AI Specialist

ConstructConnect•Cincinnati, OH

2d•Hybrid

About The Position

This position sits within our Sales division and is the front-line point of contact for identifying, matching, and selling prospects the appropriate solutions from our software portfolio. The Opportunity The GTM AI Specialist is a dedicated GTM resource that supports the connection between business workflows and technical implementation: Intake and definition of GTM AI use cases. Shaping requirements and user stories for the Software Engineer, GTM AI Deployment and other technical partners. Leading pilots, change management, and adoption within GTM teams. Measuring and communicating impact from GTM AI initiatives. You will be the day-to-day GTM partner for how AI shows up in GTM workflows, collaborating with technical teams to ensure solutions are practical, usable and contributing to measurable values.

Requirements

2-4 years of experience in GTM roles such as Sales, Customer Success, Support, Sales Enablement, Revenue Operations, or similar.
Strong process and workflow thinking; comfortable mapping out current vs. future state and identifying friction points.
Experience participating or supporting cross-functional initiatives or projects involving multiple teams.
High comfort level with AI and data‑driven tools (e.g., Glean, Claude, Claude Code, Cursor, CRM analytics, other SaaS tools), even if not an engineer.
Excellent communication and facilitation skills:
Able to work with frontline reps through to senior leaders.
Can translate between business language and technical requirements.

Nice To Haves

Experience building & deploying agents at scale, as well as partnering with platform, data, or IT teams to expose new data sources to AI tools (e.g., by defining requirements for MCP servers, APIs, and connectors).
Able to articulate which GTM data is needed for a use case (objects, fields, systems) and collaborate to make it discoverable and safe for AI (access controls, redaction, scoping).
Comfort working in environments where AI capabilities depend on underlying data connectivity (e.g., understanding when a requested behavior requires a new connector vs. a prompt change).
Business experience building protypes and experimentation in a SaaS GTM environment.
Comfort with basic data analysis (e.g., building simple views in BI tools, interpreting adoption dashboards, running simple experiments).

Responsibilities

Use Case Discovery & Intake
Partner with GTM leaders, managers, and frontline teams to identify and document AI opportunities across Sales, Customer Success, Support, Enablement, and BPM.
Help maintain and refine a central GTM AI use case backlog including:
Problem statements and current workflows.
Impact and feasibility scoring.
Dependencies and stakeholders.
Requirements & Design Partnership
Draft GTM use cases into structured requirements and user stories for engineering and system teams:
Target users and roles
Desired outcomes and success metrics
Data and system touchpoints
Guardrails and edge cases
Partner with the Software Engineer, GTM AI Deployment and GTM Systems to co-design solutions that are both technically feasible and fit into real GTM workflows.
Hands-on Prototyping
Use AI tools (e.g., Glean, Claude Code, etc..)
Build simple prototypes and drafts for early validation.
Structure prompts, instructions, and templates aligned with GTM needs and program standards.
Iterate quickly based on manager and user feedback before handing off for deeper engineering work when needed
Pilot Management, Change & Adoption
Plan and run pilots with targeted teams:
Define pilot scope, entry/exit criteria, and success measures.
Coordinate with managers and champions on who participates and how.
Partner with Sales Enablement, Academy, and GTM Programs to:
Partner to provide enablement materials (documentation, how to guides, quickstart cards, FAQs).
Support training sessions, office hours, and communication plans.
Support GTM leaders in embedding AI usage into operating rhythms and expectations (team meetings, coaching, scorecards where appropriate).
Measurement, Feedback & Continuous Improvement
Define KPIs and measurement plans for each initiative (adoption, time saved, productivity lift, leading indicators of revenue or CX impact).
Track performance and collect qualitative feedback from users; feed insights back into:
Roadmap prioritization.
Solution enhancements with engineering and systems teams.
Stories and artifacts for ELT / GTM leadership updates.
Governance & Standards (GTM Lens)
Help apply and reinforce AI standards and guardrails within GTM:
Tool and platform choices for different types of problems.
Prompt and agent naming conventions, documentation practices, and versioning.
Partner with central AI governance, GTM Systems, and the GTM AI Program Lead to ensure GTM AI usage is:
Responsible and secure,
Well‑documented, and
Aligned to company‑wide AI guidance.
This job description in no way implies that the duties listed here are the only ones that team members can be required to perform