Jobs at HiddenLayer

The Customer Success Manager will manage enterprise accounts, ensure customer engagement, track account health, and facilitate communication between technical teams and clients.

Sell HiddenLayer's AI security platform to federal agencies by developing account strategies, driving pipeline and revenue, leading technical and executive engagements, navigating federal acquisition and contracting, coordinating cross-functional teams, and supporting adoption, expansion, and renewals across the Intelligence Community, DoD, DHS, and civilian agencies.

Serve as pre-sales technical lead for federal customers, architecting and deploying AI security platform in SaaS and airgapped environments. Lead discovery workshops, scope proofs-of-value, build demos and POC AI apps, integrate SDKs/APIs, advise on AI/ML security and MLOps, deliver demos and written deliverables, and support onboarding and troubleshooting with Customer Success.

Serve as primary post-sales relationship owner for federal customers, driving onboarding, adoption, and retention of HiddenLayer cybersecurity/AI solutions. Coordinate cross-functional teams, conduct business reviews, mitigate risks, capture customer feedback, and support renewals and expansion in complex federal environments.

As a Solutions Architect Post-Sales, you'll ensure successful deployment and customer success for AI security solutions, offering technical guidance and support post-sale.

Drive revenue growth through strategic sales initiatives in the security for AI market, develop relationships with stakeholders, and lead negotiations.

As a Technical Support Engineer, you will troubleshoot complex technical issues for customers using the HiddenLayer AISec Platform, partner with internal teams, and improve documentation and processes.

The Enterprise Account Director leads revenue generation through strategic sales in AI security. Responsibilities include relationship building, negotiations, and collaboration with teams for tailored solutions.

Lead enterprise sales for AI security solutions in the Pacific Northwest. Develop strategic plans, build C-level relationships, negotiate contracts, manage pipeline with CRM, collaborate cross-functionally to deliver tailored proposals and represent the company at industry events.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.