Learn more and connect with Jenn Steele:
- Agent.ai Profile
- LinkedIn
- X
Explore her Work and Builds:
- Read Her Agent’s Launch Post
- Play with her Branded Agents
- Try the Agent Flow Prototype
- Create a Cold Outreach Schedule for SDRs
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“The only way I'm going to make people successful at partnership programs is to basically take my brain and dump it into some agents that they can run.”
That’s exactly what Jenn Steele did, and she did it in just three weeks.
Jenn is the founder of SoundGTM, a platform focused on helping companies, both tech and non-tech, scale ecosystem-led growth through referrals, partner programs, and strategic alliances. After years leading marketing and revenue at companies like HubSpot and Kissmetrics, Jenn knew firsthand how difficult partnerships can be to plan, execute, and enable, particularly for teams without dedicated resources.
She didn’t just want to teach people how to do it better. She wanted to build tools that would actually do the hard parts for them.
“I realized that AI, especially agentic AI, was in a place where I could actually solve the problem of planning and enablement.”
With that, she launched a powerful suite of AI Agents and Playbooks, including things like an SDR Cold Outreach Scheduler, enablement checklists, referral program tools, and much more. Think: a hyper-specific, AI-powered Website Grader, only it's designed for your ecosystem program.
What’s more, Jenn has embedded these agents directly into her own branded experience and is sharing her journey in detail to help others do the same.
“The only way I’m going to make people successful at partnership programs is to basically take my brain and dump it into some agents that they can run.”
And she’s just getting started. From new use cases to deeper personalization, Jenn is exploring ways to make her agent network smarter, faster, and more effective for go-to-market teams of all shapes and sizes.
Want to hear Jenn tell the story herself? Check out the full 25-minute conversation where we dive deep into her build process, lessons learned, and what's coming next.
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