---
title: 'Head of Sales at Scanner'
canonical: 'https://feeny.ai/job/head-of-sales-scanner-san-francisco-ca-or-xve7c750qjd3'
type: 'job'
last_seen: '2026-09-11'
---

# Head of Sales at Scanner

- **Company:** Scanner
- **Location:** San Francisco CA OR, United States
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/scanner/jobs/4376716009

## Job description

## About Scanner

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, Confluent, and BeyondTrust 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 demand is real and scaling up.

We're also the Security Data Lake built for AI. More than a third 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 25 full-time, funded by Sequoia, CRV, SVCI, and Mantis VC, and growing fast. You'll join a high-trust team where your work shapes our story, pipeline, and revenue trajectory.

## The Role

We're looking for a Head of Sales to build and lead the sales organization that takes Scanner through its next stage of growth. This is a player-coach role for someone who has scaled enterprise sales teams before and still wants to be directly involved in strategic deals, customers, and closing business.

You'll build the sales organization from the ground up: hiring, sales strategy, forecasting, enablement, compensation, and the operating systems required to scale. You'll stay close to CISOs, security leaders, and technical buyers while working directly with the CEO and cross-functional leaders to shape Scanner's broader GTM strategy.

## What you'll own

Build & Scale

- Build Scanner's sales organization, operating model, and enterprise sales playbook from the ground up.
- Recruit, onboard, coach, and develop a high-performing team of Enterprise and Corporate Account Executives.
- Build scalable onboarding, enablement, methodology, and operating rhythms without unnecessary bureaucracy.

Sell

- Remain actively involved in strategic enterprise opportunities and executive customer relationships.
- Help the team navigate technical evaluations, buying committees, procurement, security reviews, and negotiations.
- Drive deal velocity and land-and-expand strategies across mid-market and enterprise accounts.

Lead

- Set a high bar for prospecting, discovery, technical credibility, deal strategy, negotiation, and execution.
- Coach sellers through live deals and build a culture of accountability, urgency, and customer focus.
- Develop future sales leaders as the organization grows.

Operate

- Own forecasting, pipeline management, territories, quotas, capacity planning, compensation, and CRM discipline.
- Establish clear operating rhythms for pipeline inspection, deal reviews, forecasting, and performance.
- Continuously identify what needs to change or be built as the company scales.

Partner

- Work closely with Marketing on ICP, account strategy, messaging, campaigns, and pipeline creation.
- Partner with Sales Engineering on technical evaluations and POCs, and bring structured customer feedback to Product and Engineering.
- Work directly with the founders on GTM strategy, pricing, positioning, organizational design, and growth planning.

Must have

- 8–10+ years of B2B enterprise sales experience, including meaningful leadership experience building and managing high-performing teams.
- Deep cybersecurity sales experience, ideally across SIEM, security analytics, security data platforms, detection and response, observability, or adjacent infrastructure.
- Proven success selling complex technical products into large enterprises and navigating multi-stakeholder buying processes.
- Experience building a sales organization from scratch, not simply inheriting an established team and playbook.
- Strong track record recruiting, developing, and ramping excellent sellers.
- Strong command of forecasting, pipeline management, territories, quotas, compensation, capacity planning, and CRM discipline.
- Player-coach mentality with the desire to remain personally involved in important customer conversations and deals.
- Excellent executive presence, technical credibility with security practitioners, and the ability to add structure without slowing down a fast-moving startup.

## Nice to have

- Experience scaling sales at an early-stage, venture-backed company through rapid growth.
- Experience turning founder-led sales into a repeatable enterprise sales motion.
- Deep network of cybersecurity sales talent and existing relationships with CISOs and security leaders.
- Experience shaping pricing, packaging, segmentation, territories, or sales compensation.

## Why you'll love working here

- High-impact seat at the table. Work directly with the founders to shape revenue, GTM strategy, and how we win the market.
- Builder role, not maintainer. Architect the sales team, operating model, and playbook rather than inheriting a pre-packaged machine.
- Stay close to customers. Continue working directly with sophisticated security teams and strategic enterprise customers.
- Product-market momentum. Sell a differentiated Security Data Lake trusted by teams like Ramp, Notion, and BeyondTrust, alongside a tight, senior team that moves fast and cares deeply about product and growth.

## Compensation & Benefits

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

## About Scanner

## Company Overview
- **One-liner**: Scanner provides a cloud-native security data lake that indexes logs directly in S3, enabling sub-10-second search across petabytes and continuous threat detection for security teams.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Cliff Crosland (CEO), Steven Wu (CTO)

## Core Business
- **Primary industry**: Cybersecurity (Security Data Lake / SIEM alternative)
- **Target customers**: B2B – Security operations teams (SOC), threat hunters, and AI security agents at enterprises of all sizes.
- **Mission**: To make complex data problems simple by rethinking how log search, threat detection, and observability work at scale – ensuring security teams never have to choose between speed and coverage.

## Products & Services
- **Scanner Security Data Lake**: A cloud-native platform that indexes logs directly in Amazon S3 without pipelines or re-ingestion. Offers blazing-fast full-text search (100x faster than Athena), continuous streaming detection rules, and native support for the Model Context Protocol (MCP) for AI agent integrations. SOC 2 Type II certified, GDPR compliant, and available with data residency options.
- **API-First Architecture**: Programmatic access to all queries and datasets, enabling custom workflows and integration with existing security stacks (e.g., AWS CloudTrail, Azure, Okta, GitHub, Tines).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (Series A led by Sequoia Capital).
- **Key Metric**: Annual Revenue estimated $0–$1M (as of 2025); Total Funding includes a Series A led by Sequoia Capital with participation from CRV and Mantis VC. Amount undisclosed.
- **Notable Investors / Partners**: Sequoia Capital (lead), CRV, Mantis VC. Advisors include Tom Killalea (former SVP & GM of Splunk Security), Christina Cacioppo (CEO & co-founder of Vanta), and others from Splunk, MongoDB, and Chevron.
- **Growth Signals**: +170% headcount growth year-over-year (from ~5 to 14 employees); monthly growth of +35%; customer case study with Ramp; growing adoption among AI security agents.

## Competitive Advantages
- **Speed and economics**: Indexes logs in place in S3, eliminating the cost and latency of re-ingestion. Search is “100x faster than Athena” and economical enough for AI agents to iterate freely.
- **No vendor lock-in**: Data stays in the customer’s cloud bucket; full custody and schema-less ingestion.
- **Built for AI-era security**: Native MCP support gives AI agents structured, fast access to the security data lake, enabling investigation workflows that would time out or be too expensive in traditional SIEMs.

## Strategic Focus
- Scaling the team (currently hiring for senior backend, full stack, and sales roles).
- Deepening integrations with the security ecosystem and expanding enterprise adoption.
- Positioning as the data layer for AI agents in security – enabling autonomous threat hunting and investigation.

## Why Work Here
- **Culture**: Small, collaborative team solving hard infrastructure problems; low-process environment emphasizing autonomy and speed.
- **Work model**: Hybrid-friendly (San Francisco office gather weekly on Tuesdays) with fully remote options for US-based roles; quarterly in-person gatherings.
- **Tech stack**: Rust (backend), Svelte + TypeScript (frontend), AWS Lambda, S3, MySQL, Pulumi – modern and performance-focused.
- **Perks**: Medical, Dental, Vision, 401k, Commuter Benefits, Unlimited PTO; generous equity and cash compensation.
- **Team**: Co-founders with deep experience from Cisco, Dropbox, and Accompany; advisors from Splunk, MongoDB, and Vanta.

## Sources
1. [Scanner Homepage](https://scanner.dev/)
2. [Scanner About Page](https://scanner.dev/about)
3. [LinkedIn Company Profile](https://www.linkedin.com/company/scanner-dev)
4. [Careers Page (Greenhouse)](https://job-boards.greenhouse.io/scanner)
5. [Senior Backend Engineer Job Posting](https://scanner.dev/careers/senior-backend-engineer)

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