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$100k – $140k per year
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Remote (United States)
Seniority
Middle · 3+ years exp
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Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 25, 2026.

Overview
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Strac is the leading Data Loss Prevention (DLP), Data Discovery & DSPM platform — securing SaaS, Cloud, Browser, GenAI with automated remediation.

About Strac

Strac is data security for the AI era. We stop sensitive data (PII, PHI, secrets, confidential files) from leaking through the tools employees actually use: AI tools like Claude, ChatGPT and Copilot, MCP servers and AI agents, Slack, Google Workspace, Microsoft 365, browsers and endpoints. One platform for DLP and DSPM across AI, MCP, SaaS, endpoint and browser, with real remediation (redact, revoke, delete, block) instead of another dashboard.

Five years in, we're Y Combinator-backed and in production at 75+ mid-market and enterprise customers including companies like Databricks, UiPath and Crypto.com. We're an Anthropic partner integrating with the Claude Compliance API, and a Slack, Notion, Zendesk and Intercom partner. The founder is an ex-Amazon Principal Engineer who built Amazon's payment security infrastructure.

The role

You'll own the customer from signed contract onward: onboarding, integration setup, policy tuning, support, renewals and expansion for security and IT teams at 75+ mid-market and enterprise companies. Today that work is shared across the CEO and the engineering team; you'll run it as a function, with the engineers behind you for anything deep. You'll work directly with the CEO and the engineering team every day.

What you'll do:

  • Onboard new customers: connect Slack, Google Workspace, M365, Zendesk, AI tools, endpoints and browsers, set up DLP/DSPM policies, and get them to value fast
  • Own the customer Slack channels: triage questions, reproduce issues, debug integrations, and hand the engineering team a clean ticket (not a vague complaint)
  • Run renewals and find expansion: more seats, more connectors, endpoint and browser DLP, AI data security
  • Build the playbooks and automation (AI agents, docs, health scores) that scale customer success as the customer base grows
  • Turn customer pain into product input the engineers can act on

Who we're looking for

  • 3+ years in a customer-facing post-sales role (customer success, technical account management, solutions engineering) at a B2B SaaS company. Former startup founder or founding team member strongly preferred.
  • Technical: you can read API docs, debug an OAuth or SSO integration, understand how DLP policies and detectors work, and talk credibly to a security engineer. Having worked at a security, DLP, DSPM or compliance company is a strong plus
  • Extreme ownership. You don't escalate problems; you solve them and then build the system so they don't recur
  • Commercially minded: comfortable owning renewals and expansion numbers, not just NPS
  • Clear writer, fast mover, uses AI tools aggressively for support, docs and ops

Compensation

$100K-$140K base plus variable on renewals and expansion, plus equity. Remote in the US.

Process

One 30-minute call with the CEO, one working session on a real customer scenario, references, offer. We move in days, not weeks.

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