# AI Deployment Leader at Domu Technology Inc. > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Adomu%3A89c50559-8b90-4c8f-90a2-b31f17e1c6ca (read 2026-11-15). ## Facts (observed) - Company: [Domu Technology Inc.](https://alderhq.app/companies/domu-technology-inc) - Location text: San Francisco - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco") - Posted: 2026-06-10 (158 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/domu/89c50559-8b90-4c8f-90a2-b31f17e1c6ca ## Pay and sponsorship - Posted pay: $100k–$160k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 3407): p25 $90k, median $148k, p75 $200k ## Description (the employer's text) ### About Domu Domu is building AI agents for some of the world’s largest financial institutions. Our agents handle millions of live customer interactions for Fortune 500 banks and insurers, end to end. We are growing quickly. Interactions are tripling month over month, and we are solving problems most startups never touch: real-time voice AI at scale, legacy banking systems, enterprise telephony, and regulatory requirements in the U.S. ### Why Domu Real traction: post $XXM in revenue, Fortune 500 customers, 12x YoY growth last year AI First company with $1M+ revenue per employee Early enough to shape the product, the team, and the culture, and become a key leader in the company. You will work hand in hand with the founders. ### About the Role As Domu’s AI Deployment Leader, you will own what happens after a customer signs. You will take customers from implementation to go-live, then help them adopt, expand, and get measurable value from Domu. Reporting to the CPO, your job is to make deployments successful, turn customer needs into clear product feedback, and build the repeatable process for how Domu launches and grows enterprise accounts. ### What You’ll Do Own the post-sale relationship for a portfolio of enterprise customers, from launch through expansion Build repeatable deployment frameworks for complex enterprise rollouts to streamline execution and accelerate time-to-value Help customers measure impact, identify gaps, and find opportunities to use Domu more broadly Spot expansion opportunities early, build the case for them, and partner with the founders to grow usage and revenue Bring customer feedback and deployment learnings back to product and engineering, helping shape what Domu builds next Create the operating foundation for this function, including critical AI workflows, optimizing for repeatability, quality, and scale ### What We’re Looking For ### Must-Haves Experience owning enterprise or mid-market customer relationships, with accountability for outcomes Strong commercial judgment. You can understand customer goals, spot expansion opportunities, and connect product usage to business value. Analytical and operational rigor. You bring structure to messy problems. Technical curiosity and independence. You can quickly learn how Domu’s product works, how our customers’ systems operate, and where the two connect, without needing to be an engineer. Clear communication with both executives and technical teams ### Nice-to-Haves Experience in financial services, collections, insurance, or another highly regulated industry Experience building or launching something: a side project, internal tool, product, process, or new function Familiarity with voice AI or AI products used in production Early-stage startup experience, or a strong desire to build in a fast-moving, high-ownership environment ### Benefits and Perks Medical, dental, and vision insurance, as well as mental health support 401k 14 business days of paid time off Monthly wellness stipend AI tooling budget --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adomu%3A89c50559-8b90-4c8f-90a2-b31f17e1c6ca and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.