Remote Federal Pilot Jobs in Washington (NOW HIRING)

We are seeking an experienced Manager, Federal Sales Engineering to lead our public sector pre-sales effort in a true player-coach role. You will spend roughly half your time leading and developing a small team of federal sales engineers, and the other half hands-on in strategic engagements: running demos, scoping proofs of concept, and supporting discovery with civilian agencies, the Department of Defense, the intelligence community, and federal law enforcement.

This is a senior role for a deeply technical cybersecurity leader who understands the federal market and the distinct missions, environments, and buying behavior of the DoD, the Intelligence Community, and federal law enforcement. You will work side by side with federal sales leadership and partners to turn SpyCloud's breach, malware, and identity data into mission outcomes.

This role is remote, but the person in this position must reside (or relocate to) the Washington D.C. Metro Area to visit Federal clients as needed.

What You'll Do:

• Operate as a player-coach. Split your time evenly between managing the federal SE team and personally owning pre-sales efforts on strategic agency and partner accounts.
• Lead and mentor a team of federal sales engineers, setting the standard for demos, proofs of concept, and technical discovery.
• Partner with federal sales leadership to ensure coverage across civilian, defense, intelligence, and law enforcement accounts, tailored to each agency's mission and environment.
• Turn data into mission outcomes. Use SpyCloud breach, infostealer/malware-derived, credential, and identity data to support investigations, fraud detection, account takeover defense, and adversary tracking for specific customer situations.
• Drive channel and partner engagement with public sector resellers, system integrators, and solution architects through hands-on SME support.
• Guide proofs of concept and pilots from scoping through outcome, and translate findings into clear, customer-ready results for technical and mission audiences.
• Support engagements in secure environments (including SCIF settings) where required, leveraging your TS/SCI clearance.
• Capture product gaps and field feedback, and bring them back to product and engineering to shape the federal roadmap.
• Represent SpyCloud at federal and defense conferences, agency days, and industry events.

Requirements:

• 8+ years of experience in cybersecurity pre-sales, including federal or public sector accounts.
• Deep understanding of the federal market and the missions, operating environments, and acquisition behavior of the Department of Defense, federal law enforcement, and the Intelligence Community.
• 4+ years of experience managing sales engineering teams.
• Active Top Secret clearance and U.S. citizenship (required).
• Based in the DC metro area.
• Experience with OSINT tools and tradecraft.
• Familiarity with federal procurement, contract vehicles, and the public sector buying cycle.
• Experience tracking KPIs and creating health dashboards for team performance.
• Willingness to travel as required across the region and to agency sites.
• Python or similar coding knowledge.

Nice to Have:

• Prior federal investigator, intelligence community, or DoD background.
• Working knowledge of FedRAMP, DoD Impact Levels, and the ATO process.
• Experience with public sector partner, system integrator, and reseller motions.
• Familiarity with infostealer and malware-derived intelligence and identity analytics.
• Hands-on experience with AI-assisted investigation tooling (agentic workflows, LLM-driven analysis, MCP or tool-calling integrations) and comfort demonstrating these to technical and mission audiences.

Base Salary Range: $133,000 - $200,000 

On Target Earnings (OTE): $167,000 - $250,000

OTE is reflecting base salary plus variable commission at expected performance levels. Actual earnings will vary based on individual performance.

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.