AI Program Lead

Hyland•,

2d•$166,000 - $187,000•Remote

About The Position

Hyland is seeking a highly technical and execution-focused Revenue AI Program Lead to drive the design and deployment of AI-powered solutions across our global Revenue organization as a senior individual contributor. This role focuses on improving sales productivity and operational efficiency by replacing manual processes with AI agent-driven, intelligent automated workflows. Working hands-on to develop, test, and deploy AI-driven solutions across Salesforce and the broader revenue technology stack, this role partners cross-functionally to ensure successful adoption and measurable business impact. This role moves beyond traditional AI implementations focused on prompts and outputs — centered on: Execution over generation — AI that does, not just AI that writes Workflows over tasks — multi-step orchestration over single interactions Systems integration over isolated tools Business outcomes over experimentation

Requirements

3+ years of hands-on experience working with AI tools, prompt development, or automation solutions
3+ years of experience working within Salesforce or similar CRM platforms
Proven ability to design, build, and optimize AI agents and autonomous workflows
Experience using AI orchestration frameworks or automation tools
Track record of executing technical projects in fast-paced environments
Strong understanding of data structures and integrations — including APIs and structured data formats
Demonstrated experience connecting structured and unstructured data sources to enable context-aware, action-oriented AI workflows
Experience supporting Revenue Operations, Sales Ops, or GTM teams
Familiarity with revenue tech stack tools such as sales engagement, forecasting, and enablement platforms
Experience creating training materials or supporting end-user adoption
Ability to partner with Enablement teams and contribute to documentation standards, operating processes, and best practices for AI initiatives

Nice To Haves

Demonstrated experience building multi-step AI workflows that integrate reasoning, decisioning, and action-taking across systems — moving beyond single-interaction outputs to deliver end-to-end automated execution
Proven ability to develop and refine production-grade prompts and automation logic — with experience using feedback loops, usage data, and outcome-based metrics to continuously improve agent performance
Experience integrating AI capabilities into Salesforce and adjacent revenue platforms — with a track record of enabling cross-system execution and improving sales productivity and operational efficiency at scale
Familiarity with data governance, security standards, and risk mitigation practices related to AI usage and data handling — with the ability to ensure AI solutions align with enterprise compliance requirements
Experience evaluating and implementing AI tools and platforms — with the ability to contribute to AI roadmap planning and support successful delivery against defined milestones and measurable business outcomes

Responsibilities

Design, build, and optimize AI agents and autonomous workflows to support core revenue activities — including account research, pipeline insights, and sales content generation — while building multi-step workflows that integrate reasoning, decisioning, and action-taking across systems.
Integrate AI capabilities into Salesforce and adjacent revenue platforms — partnering with technical teams to connect structured and unstructured data sources, enabling context-aware, action-oriented workflows that drive cross-system execution.
Partner with RevOps, Sales, Marketing, and Customer Success to deliver high-impact automation solutions aligned to business needs — executing against a defined AI roadmap as a senior individual contributor with clear milestones and measurable outcomes.
Continuously improve agent performance using feedback loops, usage data, and outcome-based metrics — developing and refining production-grade prompts and automation logic to ensure consistent, high-quality outputs across workflows.
Identify and mitigate risks related to AI usage and data handling — ensuring AI agent solutions align with company data governance and security standards while monitoring adoption and gathering feedback to drive continuous improvement.
Partner with Enablement teams to support training and rollout of AI tools — contributing to documentation standards, operating processes, playbooks, and best practices for sales teams to support adoption and maximize business impact.