Enterprise Sales Engineer
VarianceSan FranciscoPosted 31 March 2026
Job Description
Enterprise Sales Engineer
ROLE
At Variance, we are teaching machines to make the hardest judgment calls at scale. That means building AI agents for the high-stakes gray area of risk investigations, fraud, and identity reviews.
We’re a small, talent-dense team in San Francisco, with former founders and talent from top AI labs. Our customers include Fortune 500s, global marketplaces, and regulated financial institutions. Winning in this market requires more than strong product and engineering, it requires earning trust with sophisticated buyers, navigating complex technical environments, and showing clearly how Variance fits into mission-critical workflows.
We’re looking for an Enterprise Sales Engineer to lead the technical side of our enterprise sales motion. You’ll partner closely with account executives, founders, and prospects to understand customer workflows, run technical discovery, build compelling demos, and prove how Variance can deliver value in high-stakes environments. This is a pre-sales role for someone who is deeply technical, highly customer-facing, and excited to help large enterprises adopt AI systems they can trust.
This is an in-person position. Our office is located in San Francisco, CA.
WHAT WILL YOUR DAY-TO-DAY LOOK LIKE
- Lead technical discovery with enterprise prospects to understand workflows, systems, constraints, and success criteria
- Design and deliver tailored product demos that map Variance to real customer pain points in fraud, risk, and identity operations
- Build proof-of-concepts and pilot environments that show how Variance performs in customer-specific use cases
- Partner with account executives to move complex deals forward by addressing technical objections and reducing implementation risk
- Act as the primary technical counterpart during the pre-sales process for buyers, architects, security teams, and operational stakeholders
- Answer product, architecture, integration, data flow, and security questions with clarity and confidence
- Work cross-functionally with product and engineering to translate prospect feedback into roadmap insights and product improvements
- Help standardize the technical sales motion by improving demo assets, solution narratives, technical collateral, and repeatable playbooks
REQUIREMENTS
- 5+ years of experience in Sales Engineering, Solutions Engineering, Solutions Architecture, or a similar pre-sales technical role
- 3+ years of experience supporting enterprise software sales cycles with large customers, ideally including Fortune 500s, regulated companies, or complex multi-stakeholder deals
- Proven experience leading technical discovery, demo design, proof-of-concepts, and pilot execution for enterprise accounts
- Strong experience explaining APIs, integrations, architecture, security, and data flows to technical and non-technical stakeholders
- Experience supporting sales processes that involve security reviews, architecture reviews, or procurement diligence
- Strong coding ability, with proficiency in Python, Java, TypeScript, or a similar language, and enough technical depth to build lightweight prototypes, integrations, or demo environments
- Strong understanding of LLMs, GenAI, and agentic workflows, including the ability to communicate both capabilities and limitations credibly
- Excellent written and verbal communication skills, with strong executive presence and the ability to build trust quickly
- Highly self-directed and comfortable operating in ambiguity in a fast-moving startup environment
STRONGLY PREFERRED
- Experience selling or supporting technical products in fraud, risk, identity, compliance, or financial services
- Experience with enterprise SaaS, workflow software, or AI platforms sold into operational teams
- Familiarity with common enterprise concerns around security, privacy, governance, and deployment
- Experience building demo environments or solutions using APIs, data pipelines, or workflow automation
- ... (truncated, view full listing at source)
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