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Founding GTM Lead, AI Agents

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Hybrid (Mountain View, CA)$120k - $140k + equityFull-timePosted 2w ago

About the role

Founding GTM Lead for Socratix AI, responsible for designing and executing the go-to-market motion, both outbound and in-person, to acquire banks, credit unions, and fintech customers. Owns target account building, outbound campaigns, event presence, and collaboration with founders on sales and product feedback.

Responsibilities

  • Help design the GTM playbook and leverage AI tools to set up repeatable processes our team will scale with.
  • Support the full sales cycle alongside the founders: help run discovery calls and demos, build customer-facing materials and manage live engagements.
  • Turn field learnings (calls, outbound, events) into product input; translate customer needs to Product and Engineering priorities.
  • Build and manage outbound: identify target accounts (banks, credit unions, fintechs) and the buyers within them.
  • Run campaigns including cold email, LinkedIn, SEO, call sequences, testing messaging, targeting, channels, and content calendars; design promotional campaigns and materials for outreach.
  • Identify events, conferences, and forums to meet customers; own event logistics and represent Socratix at booths.
  • Own pipeline hygiene: keep target lists, campaign data, and CRM records clean and current.

Qualifications

  • 0–2 years of experience, and new grads are welcome.
  • A demonstrated track record of hustle (internships, campus organizations, side projects, prior sales/BD/marketing experience) matters more than years on a resume.
  • Curiosity about fintech, fraud, risk, or applied AI, and genuine interest in learning how banks and compliance teams operate.
  • Strong written and verbal communication; ability to explain a regulated product in plain language.
  • Comfort with ambiguity and ownership; able to work with minimal hand-holding and experiment-based progression.
  • Detail-oriented and organized; maintain clean outbound lists, campaigns, and records.

Skills

Required:GTM strategySales cycle managementOutbound campaign managementCommunication
Nice to have:Event planning & representation

Benefits

  • Competitive salary and equity benchmarked to top tech companies.
  • Paid meals during workdays.
  • 100% health, dental, and vision coverage.
  • Hybrid schedule — in-office 3 days a week.
  • Commuter benefits.
  • Unlimited PTO.
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Socratix AI

AI coworkers for fraud and risk teams.

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.

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