Jacquelyn Goldberg is VP of Sales at Unframe AI, where she works with large enterprises on business process transformation enabled by AI. She has spent more than a decade across AI, data, and enterprise software, leading global revenue organizations and working closely with Fortune 500 customers.
Background
After graduating from college, Jacquelyn began her career in commercial real estate development, but moved on after six months and entered sales. She started in marketing technology, and over time the products she sold became increasingly technical as she moved between companies and built experience in enterprise software sales.
Five years ago, Jacquelyn made the transition into AI, joining a field that fit the technical direction of her work and the scale of the customers she served. Across that period, she has led sales teams at venture-backed companies at stages ranging from seed to C, with responsibility for varying revenue sizes and market expectations.
She joined Unframe AI in June 2024, where she now leads sales for an enterprise platform focused on complex business transformation. In that role, she works with large organizations that want to apply AI across operational workflows, data-rich processes, and multi-system environments rather than through isolated automations.
Her career arc has moved from early sales roles into technical enterprise selling, then into AI-focused revenue leadership. That combination has given Jacquelyn a practical view of how large organizations buy, implement, and scale new technology, and of where AI creates durable value in enterprise settings.
Core Expertise
Jacquelyn is known for enterprise AI sales, revenue leadership, and translating technical capability into business process transformation. Her experience spans AI, data, and enterprise software, with a particular focus on helping Fortune 500 companies apply technology to large, operational problems.
Her approach is grounded in business outcomes first. She is especially focused on use cases that cut cost, drive revenue, or mitigate risk, and on deciding where to build internally and where to partner externally. She also emphasizes adoption, governance, and predictable deployment, including on-premise and perimeter-based implementations where needed. Across use cases such as supply chain and commercial real estate, she consistently returns to the same operating principle: start with the first meaningful use case, prove value, and then expand from a shared base.
Academia
Jacquelyn graduated from college, though the dossier provided for this profile does not specify the institution or degree.
No graduate, executive, or professional degree was provided in the source material reviewed for this biography.
No additional academic credentials or certifications were included in the dossier.
Key Perspectives that Jacquelyn Goldberg Shares on the Podcast
On the episode, Jacquelyn argues that the real shift in enterprise AI is moving from individual productivity to end-to-end business process transformation. She is skeptical of framing AI as magic, and instead sees it as a tool that still requires careful design, human judgment, and operational discipline. In her view, the organizations that create value are the ones that start with a business problem, then decide how much AI, machine learning, or conventional software is actually needed.
She also stresses that adoption and change management matter more than surface-level experimentation. Large enterprises, she says, should prioritize use cases that can be embedded into existing workflows, governed properly, and expanded over time. Jacquelyn repeatedly returns to the importance of data, critical thinking, and human oversight, while warning against assuming that the technology alone will deliver transformation.
A Quote from this Conversation with Jacquelyn Goldberg
“I think trying each day, or maybe not every day, but at least every week to teach yourself something new. And and not to be lazy about it. Don’t just like let AI do it for you, but dig in with it. Build something.”
