
Socratix AI
AI coworkers for fraud and risk teams.
What Socratix AI does
Socratix builds AI coworkers for fraud and risk teams so that humans don't have to spend their days drowning in alerts and spreadsheets. Today, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. Socratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount. We've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and risk. We're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution.
1 open role
What the role involves
As Founding Chief of Staff / Head of BizOps at Socratix AI, you'll work directly with the founders on the highest-priority initiatives across customers, operations, and go-to-market. This is not a support role — you'll operate as an extension of the founding team and own the execution that turns conversations into closed, delivered deals. You'll gain firsthand exposure to what it takes to build and scale a venture-backed AI startup, from closing enterprise customers to standing up the systems that let the company scale. If you're excited about ownership, ambiguity, and high-impact work, you'll thrive here. What You’ll Do Run deal operations end-to-end — proposals, pricing, order forms, pilot agreements, and contract turnaround. Sit in on customer calls and synthesize them into crisp recaps, next steps, and briefs the team can act on. Support enterprise pilots and deployments, ensuring customers see impact quickly. Project manage the operational backbone of every deal — due diligence, security questionnaires, and vendor onboarding — so nothing stalls between a "yes" and a signed, deployed customer. Help build a repeatable sales motion — instrument the CRM, track conversion, and turn bespoke, founder-led deals into a documented playbook. Identify bottlenecks and proactively solve them — no task is too small or too strategic. This role evolves with company needs - you’ll work on whatever moves the needle most that week. What We’re Looking For Must-haves: 2+ years in a high-ownership operating role (Chief of Staff, BizOps, GTM/Ops, or consulting). Exceptional structured thinking and written communication. Strong analytical skills (comfortable deriving insights from data). High agency — you don't wait to be told what to do. Comfort with ambiguity and fast-moving environments. Strong business and product sense. Nice-to-haves (but not required): Prior experience working at an early-stage startup. Experience in a regulated industry (fintech, banking, compliance, or healthcare). Technical fluency (you can understand APIs, AI workflows, or build a quick prototype). Interest in growing into a COO, Head of Customer Success, or senior operating role. What You’ll Gain Direct partnership with founders who've built and scaled AI systems at DoorDash, Cruise, and LinkedIn. End-to-end ownership of high-impact company initiatives. Deep exposure to enterprise sales cycles and customer strategy. Insight into roadmap decisions and strategic trade-offs. A front-row seat to building AI agents used in production. A clear path into senior leadership.
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.