# Clozd **Type:** venture **Status:** Draft **Confidence:** Low **Tier:** C **Focus:** decision intelligence, customer feedback, win-loss analysis, qualitative research, enterprise software **Identifiers:** cik=0001843216, ein=86-1598285 **Roles:** software-engineering, product-design, sales-business-development, program-project-management **Primary Location:** Lehi, UT **Utah Location:** Lehi, UT **Region:** Lehi **Website:** https://www.clozd.com/ **Careers:** https://jobs.lever.co/Clozd **Domain:** computing, capital-programs **Ownership:** founder-led private **Updated:** 2026-08-11 **Needs-reviewed:** 2026-08-11 ## Summary Clozd is a Lehi enterprise-software and research-services company focused on decision intelligence: learning why customers buy, decline, renew, or leave. It combines expert-led interviews, AI-assisted and AI-led interviews, CRM and sales-team inputs, and software that organizes qualitative feedback for revenue, marketing, customer-success, and product teams. Andrew Peterson and Spencer Dent founded Clozd in 2017 after encountering the limits of conventional win-loss data. The company says its platform has been shaped by more than 50,000 interviews. In an earlier company announcement, Clozd reported a $52 million Series A led by Greycroft with Madrona Venture Group and Album VC; the figure and customer counts remain self-reported. ## Impact Companies routinely make product, pricing, and go-to-market decisions from CRM notes and internal anecdotes that omit the buyer's actual reasoning. Clozd's useful intervention is a repeatable feedback loop: contact buyers after consequential decisions, capture candid qualitative evidence, synthesize recurring drivers, and route those findings back to teams that can act. That can reduce wasted product and sales effort when the interviews are representative and the analysis is trustworthy. Clozd's current technical bet is that AI can expand the volume and speed of qualitative research without losing the follow-up questions and nuance that make interviews useful. The tradeoff is consequential: automated synthesis can create false confidence if sampling, consent, transcription, or model interpretation is weak. Public materials describe the workflow but do not provide an independent accuracy evaluation. ## Utah Context Clozd is legally and operationally anchored in Lehi. Its official careers page and terms identify headquarters at 1300 W Traverse Pkwy, Suite 400, and its current Lever board places most openings in Lehi as on-site or hybrid roles. The company is part of a recognizable Utah customer-experience lineage: its founders describe experience in revenue leadership and at Qualtrics, while Clozd applies that regional expertise to the narrower problem of buyer and customer interviews. The result is a sizable local cluster of product, engineering, research operations, client services, and enterprise go-to-market work. ## What They Need Now The live Lever board on August 11, 2026 showed hiring across the product and the human operating system around it: - **Software engineering:** Staff/Principal Software Engineer, hybrid in Lehi, supporting the platform and its AI-enabled feedback workflows. - **Product:** Product Manager and Senior Product Manager. These roles own roadmap and interaction decisions for turning complex interview evidence into usable action. - **Client programs and research operations:** Client Success Program Manager roles, including an enterprise track, plus part-time associate and outreach/scheduling roles. These positions run feedback programs and the interview pipeline rather than merely selling software. - **Revenue:** Enterprise Account Executive, hybrid in Lehi. Current hiring is unusually cross-functional: senior software and product work sits beside interview operations, client program delivery, and enterprise sales. The durable application point is the general Lever board above; individual job links are intentionally omitted because they expire. ## Open Questions - How accurate and consistent are AI-led interviews and automated theme extraction compared with experienced human interviewers? - What consent, retention, model-training, and access controls govern interview recordings and transcripts across customers and jurisdictions? - How much of Clozd's business is recurring software versus interview and program services? - The $52 million financing and interview-volume figures are company-reported; what primary filings or independent reporting can corroborate current scale and ownership? - Do customers sustain improved win, retention, or conversion rates after controlling for other changes they make at the same time? ## Evidence - [Clozd official website](https://www.clozd.com/) — current Decision Intelligence product, human-led, AI-assisted, and AI-led interview modes, and intended users. - [About Clozd](https://www.clozd.com/about-us) — 2017 origin, founders, operating model, and company-reported interview history. - [Clozd careers](https://www.clozd.com/careers) — mission, headquarters address, work culture, and benefits. - [Clozd jobs](https://jobs.lever.co/Clozd) — current role titles, locations, and work modes; reviewed 2026-08-11. - [Expanded platform and AI interviewer announcement](https://www.clozd.com/blog/clozd-expanded-ai-platform-press-release) (September 9, 2025) — AI interviewer launch and company-reported 50,000-interview training base. - [Clozd Series A announcement](https://www.clozd.com/blog/clozd-raises-52-million-in-series-a-round) — company-reported $52 million round and investors. - [Clozd terms of use](https://www.clozd.com/privacy/terms-of-use) — legal entity and Lehi principal address.