Lakera AG logo

Solutions Engineer (San Jose, California)

Job Overview

Location

San Jose

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 deploying the platform.
  • • Design 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 implementations, ensuring seamless integration with existing infrastructure.
  • • Collect and synthesize feedback from prospects and customers, directly feeding insights into Product and Engineering teams to influence platform roadmap and feature prioritization.
  • • Build scalable Solutions Engineering frameworks, including repeatable best practices, technical playbooks, and implementation templates to support growth and consistency.
  • • Collaborate cross-functionally with Sales, Customer Success, Product, and Engineering to align on customer outcomes and drive product-market fit.
  • • Deliver technical presentations and demonstrations to diverse audiences, including C-suite executives, security teams, and engineering stakeholders, in 1:1, small group, and large conference settings.
  • • Navigate complex enterprise security, compliance, and IT procurement processes to facilitate successful B2B deployments for Fortune 500 companies and startups.
  • • Enable large-scale AI security implementations on hyperscaler platforms (AWS, GCP, Azure), ensuring alignment with cloud architecture best practices and enterprise security standards.
  • • Act as a technical advocate for secure and ethical AI adoption, aligning customer solutions with Lakera’s mission to protect AI systems from adversarial misalignment.
  • • Operate with autonomy in a fast-moving startup environment, taking ownership of projects from initial engagement through successful delivery and handoff.
  • • Represent Lakera at industry events and customer meetings, reinforcing brand credibility and technical authority in the AI security space.

🎯 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 non-technical audiences
  • • Comfort working in a fast-paced startup environment with high ownership and accountability

🏖️ Benefits

  • • Total on-target earnings (OTE) range of $170,000 to $195,000 based on experience and performance
  • • Remote work flexibility with required travel for customer 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 high-impact role

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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