
Variance
San Francisco, CA
AI agents for fraud and risk investigations
About
Variance builds AI agents that automate fraud detection, identity verification, and compliance investigations like KYC, AML for Fortune 500s and financial institutions. The agents gather evidence from multiple sources, reason over workflows, and provide auditable decisions, reducing investigation times significantly. This enables teams to handle billions of events at scale amid rising AI-powered fraud.
Tech stack
TypeScript, JavaScript, Python, React, Next.js, MySQL, ClickHouse
Perks & benefits
Unlimited PTO, Health insurance, 401k, Free lunch, Wellness stipend, Commuter benefits
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10Own strategy and execution for deploying AI agents in enterprise risk, fraud, and compliance workflows. Partner with customers to translate investigation processes into agent requirements, own deployments and relationships, drive account growth, and shape the product roadmap from cross-account patterns. Requires 5+ years customer-facing technical experience and shipping 0-to-1 products.
Build and deploy production-grade AI agents for high-stakes fraud, risk, compliance, and AML decisions at enterprise customers. Own the full agent lifecycle from scoping and tool engineering through evals, tuning, and platform impact. Requires strong LLM experience, software engineering fundamentals, and customer-facing skills.
Own end-to-end product design for AI-powered fraud, risk, and compliance workflows. Requires 4-8 years of B2B SaaS or enterprise design experience, strong systems thinking, and the ability to simplify complex technical experiences.
Leads product marketing by defining company positioning, crafting messaging for technical AI products, driving launches, creating sales materials, and conducting market research for B2B SaaS GTM. Requires 4-8 years experience distilling complex tech into executive narratives.
Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.
Leads technical discovery, designs demos, builds proof-of-concepts, and addresses technical objections in pre-sales for enterprise AI customers in fraud/risk. Requires 5+ years sales engineering experience, strong coding in Python/Java/TypeScript, and deep knowledge of LLMs/GenAI.
Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.
Build and ship full-stack features end-to-end for AI agents handling high-stakes fraud detection and risk investigations. Requires 1-3 years experience, comfort with React/Next.js, TypeScript, MySQL, ClickHouse, and thriving in fast-paced environments.
Owns enterprise sales of AI-powered fraud and risk mitigation SaaS to large platforms, driving ARR through outbound prospecting, complex deal management, and navigating security cycles. Requires 3-6 years quota-carrying experience with 100%+ attainment on high-ACV deals.
Builds and owns AI-powered systems for fraud and risk detection end-to-end, from backend architecture to UI. Requires 4+ years experience, strong fundamentals in React/Next.js, TypeScript, MySQL, ClickHouse, and ability to lead technical decisions at scale.