Founding Sales Engineer

Scanner • San Francisco, CA

5d • Hybrid

About The Position

Companies should be able to ask any question of any real-world data set, even massive ones, and get an answer effectively instantly. That's the future we're building. We're starting with security teams, who face this problem most acutely: searching massive log volumes to detect threats, investigate incidents, and hunt for compromised systems. We're expanding to infrastructure teams, DevOps, and SREs with similar challenges across observability data and system logs. Ultimately, any team dealing with large-scale data should have instant answers. Scanner is a Security Data Lake that lets teams search and detect across petabytes of data in seconds, retain everything forever, and maintain full custody of their data. Ramp, Notion, Postman, and Benchling use Scanner to analyze security logs faster, and on more data, than ever before. Our customers span fintech, healthtech, AI, and banking. At conferences like AWS re:Invent, we run 30+ demos over four days. The market is pulling. We're also the Security Data Lake built for AI. Most of our customers have built agents on Scanner since we launched MCP support weeks ago, for automated investigation, detection engineering, and alert triage. Traditional systems are too slow and expensive for AI to iterate on. Scanner isn't. We're 11 full-time, seed-funded by CRV, and growing fast. You'll join a high-trust team where your work shapes our pipeline, revenue trajectory, and customer success. The Role This is a full cycle role - you’ll own the technical success of every deal end-to-end—from first call and demo through POC, implementation, and onboarding. You’ll partner closely with Sales and the founders to run discovery, deliver crisp technical demos, and turn real customer requirements into a clear plan for how Scanner fits into their environment. You’ll lead POCs with Sales hands-on (success criteria, ingestion, validation) and stay involved post-close to drive fast time-to-value, unblock integrations, and provide ongoing technical support as needed. As a founding hire, you’ll also build the repeatable playbooks and assets that make each new deal and deployment faster than the last.

Requirements

• 7-10 years in a Solutions Engineer, Sales Engineer, or Solutions Architect role (or equivalent technical customer-facing work), owning technical evaluations through production deployment in B2B security and/or data infrastructure.
• Familiarity with SIEM, log management, and security analytics platforms (Splunk, Elastic, Sumo, etc.), with a clear understanding of where they fall short at scale. You don't need to have administered one, but you should be able to have an informed conversation about why customers are looking for alternatives.
• Working knowledge of AWS, particularly around data ingestion, storage (S3), IAM, and networking basics. You understand how services like Kinesis, CloudTrail, and Lambda fit together, even if you haven't used every one.
• Comfortable with infrastructure-as-code (Terraform preferred) and able to guide customers toward production-ready deployments.
• Ability to translate complex technical concepts into clear narratives for different audiences: security engineers, platform/infra teams, and budget holders.
• Strong debugging instincts. You can look at configs, permissions, data flows, and logs to find root causes quickly and keep deals and customers moving.
• Comfortable working across the full lifecycle, from first call to production deployment, without waiting for handoffs that don't exist yet.

Responsibilities

• Partner with Sales from first touch through close: join discovery, lead technical deep-dives, and run tailored demos that map Scanner to the customer’s environment and use cases.
• Own the technical win plan for each deal: define success criteria, milestones, risks, and stakeholders across Security, IT, and Engineering.
• Lead end-to-end customer POCs: scope and structure the evaluation, set up data ingestion, validate search/detections/workflows, and drive to a clear “yes/no” outcome on timeline.
• Be the primary technical point of contact during implementation and onboarding: design the integration, guide setup, and ensure teams reach time-to-value quickly.
• Provide ongoing technical support as needed unblocking integrations, helping tune pipelines/queries/detections, and feed product gaps back to Engineering with crisp repro steps.
• Collaborate tightly with Product/Engineering: translate field feedback into prioritized requests, improve reliability and UX, and help shape the roadmap based on real customer pain.

Benefits

• Competitive salary, meaningful equity, and comprehensive benefits (Medical, Dental, Vision, 401k, commuter).
• Hybrid-friendly with regular in-person collaboration in San Francisco.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed