Lakera AG logo

Solutions Engineer (Los Angeles, California)

Job Overview

Location

Los Angeles

Job Type

Full-time

Category

Software Engineering

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Serve as the primary technical point of contact for prospects evaluating Lakera’s AI security platform, translating customer needs into tailored solutions using Check Point's AI Defense Plane.
  • • Partner with Customer Success teams to ensure rapid customer onboarding and accelerate time-to-value for enterprise clients implementing the platform.
  • • Develop and maintain technical documentation, implementation guides, and playbooks to standardize pre-sales and post-sales workflows across the customer lifecycle.
  • • Support product configuration and execute minor technical changes required for prospect and customer deployments, ensuring seamless integration with existing infrastructure.
  • • Collect and synthesize direct feedback from prospects and customers to inform product roadmap decisions, acting as a critical liaison between customers and Product/Engineering teams.
  • • Build scalable Solutions Engineering processes by creating repeatable best practices, templates, and documentation to support growth in a fast-moving startup environment.
  • • Deliver technical demonstrations, proof-of-concepts, and presentations to diverse audiences including technical teams, security leaders, and C-suite stakeholders in 1:1, small group, and large conference settings.
  • • Collaborate cross-functionally with Sales, Customer Success, Product, and Engineering to align on customer outcomes, product improvements, and go-to-market strategy.
  • • Navigate complex enterprise security, compliance, and IT procurement processes to facilitate successful B2B product implementations at Fortune 500 companies and large organizations.
  • • Act as a technical advocate for AI security, helping enterprises secure their AI stacks and unlock responsible, ethical use cases while mitigating adversarial risks.
  • • Maintain deep familiarity with AI security challenges, including model poisoning, prompt injection, and hallucination mitigation, and communicate these risks effectively to technical and non-technical stakeholders.
  • • Travel as required to meet with clients, attend industry events, and support on-site deployments, maintaining a strong presence in the Los Angeles market while operating in a remote-first structure.

🎯 Requirements

  • • 5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role
  • • Proficiency in Python and JavaScript ecosystems
  • • Proven track record of enabling large-scale implementations on AWS, GCP, or Azure
  • • Experience navigating enterprise security, compliance, and IT procurement processes
  • • Strong written and verbal communication skills with experience presenting to technical and executive audiences
  • • Comfort working in a fast-paced startup environment with high ownership and accountability

🏖️ Benefits

  • • Total on-target earnings (OTE) ranging from $170,000 to $195,000 based on experience and performance
  • • Remote work structure with travel required for client engagements and events
  • • Opportunity to shape the future of AI security at a company behind Gandalf, the world’s most popular AI security game
  • • Exposure to Fortune 500 companies, startups, and foundation model providers in a mission-driven organization

Skills & Technologies

Python
JavaScript
AWS
Azure
GCP
Remote

Ready to Apply?

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About Lakera AG

Lakera AG provides AI security software that protects machine-learning applications from adversarial attacks, prompt injection, data poisoning and other emerging threats. The Swiss company offers a cloud platform that continuously monitors, detects and blocks malicious inputs in real time across large language models and computer-vision systems. Its technology plugs into existing ML pipelines via API and is used by Fortune 500 enterprises and AI-first startups to maintain model integrity, ensure compliance and reduce security risk without slowing deployment cycles.

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