B2B partnerships and AI workflows in healthcare workforce.
How I source enterprise health-system partnerships, run ABM-style campaigns, and the AI work I taught myself and ship against real workflow problems. Cutting manual tasks, building automations, and squeezing efficiency out of daily work has become a pastime. Most visibly: two custom GPTs my colleagues adopted and use day-to-day.
Enterprise partnerships in healthcare workforce.
Stepful is a healthcare-tech start-up building a school-as-a-service platform for workforce training. I'm a Business Development Representative on the Employer Partnerships team, sourcing enterprise health-system partnerships through strategic account planning and multi-touch outreach to stakeholders ranging from operational managers to C-suite executives.
Sourced, qualified, and influenced enterprise pipeline.
Cultivated partnerships with enterprise health systems and large employer groups. Generated qualified strategic conversations and contributed to influenced pipeline by running ABM-style campaigns rooted in deep account research. Designed and shipped account-based campaigns in HubSpot in coordination with growth, marketing, learning, customer success, and solution architecture.
Activated brand presence across the industry conference calendar. On-site at Becker's Healthcare and AORN after relocating to the NYC office, running booth-side conversations with senior healthcare stakeholders. Pre- and post-event ABM support for ASHHRA, CNI Summit, and Leap Talent Development from the desk: target-account research, registration-list outreach, and follow-up sequences.
Curiosity, then habit, then tools my team picks up.
None of this work was handed to me. It started as curiosity and became a way of working. The pattern is the same every time. Spot a manual task. Design an automation around it. Test it on my own workflow. Iterate until it holds up under daily use. Share it with colleagues once it's earned the right to be there.
Self-taught path: Leland's L1 and L2 AI development programs, prompt-engineering reps across Claude and the GPT family, and the build-break-rebuild cycles that turn rough ideas into tools other people will pick up. Cutting manual work and squeezing efficiency out of the day is the actual hobby. The tools shift constantly; the habit doesn't.
The AI Champion role at Stepful was the formal version of what I was already doing on my own time.
Selected as team AI Champion.
Designed, built, and deployed two custom GPT workflows now adopted across the broader BD and marketing organization.
Open Role
Auto-generates target-account research dossiers from careers-page intelligence and recommends partnership next steps.
Impact. Turns a 30-minute manual research task into a 2-minute structured brief.
Sales Signal
Monitors news, leadership changes, and workforce-development initiatives across owned accounts to surface partnership signals and identify the right contacts and messaging angles for outbound.
Impact. Catches buying signals competitors miss.
The same patterns apply directly.
The same patterns I built for B2B healthcare apply directly to sponsorship strategy and brand partnerships:
Open Role → Brand Brief
A GPT that pulls a target brand's marketing priorities from earnings transcripts, recent campaigns, and exec-team movement to recommend sponsorship angles. Same primitive, different domain inputs.
Sales Signal → Sponsorship Signal
Automated monitoring of brand news, competitor sponsorship moves, and category shifts to surface partnership opportunities before the competition.
The differentiator isn't the AI. It's knowing what "good" looks like in a domain so the AI can be aimed at the right inputs.
- Enterprise partnerships
- Account-based marketing
- Pipeline development
- Go-to-market strategy
- Outbound campaign design
- Executive outreach
- Discovery and qualifying conversations
- Senior-stakeholder engagement
- HubSpot
- Self-taught AI craft
- Workflow automation
- Prompt engineering
- AI workflow design
- Custom GPT development
- Cross-functional stakeholder management