Lakera AG logo

Solutions Engineer (Sacramento, California)

Job Overview

Location

Sacramento

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 onboarding and measurable value realization for customers post-sale.
  • • Develop and maintain technical documentation, implementation guides, and workflow standards to streamline pre-sales and post-sales processes.
  • • Configure and customize the platform to meet specific prospect and customer requirements, delivering minor technical changes as needed.
  • • Collect and synthesize feedback from prospects and customers to inform product roadmap decisions, directly influencing product evolution.
  • • Build scalable Solutions Engineering playbooks, templates, and repeatable best practices to establish a foundation for future team growth.
  • • Collaborate cross-functionally with Sales, Product, and Engineering teams to align technical delivery with business objectives and customer outcomes.
  • • Demonstrate the platform’s capabilities through live demonstrations, technical deep dives, and presentations to technical and non-technical audiences in 1:1, small group, and conference settings.
  • • Support enterprise-level deployments by navigating complex security, compliance, and IT procurement processes within large organizations.
  • • Work closely with Fortune 500 companies, startups, and foundation model providers to secure their AI stacks and enable responsible AI adoption.
  • • Contribute to the broader AI security ecosystem by leveraging experience with adversarial misalignment, AI agent safety, and real-world AI deployment challenges.
  • • Maintain a deep understanding of AI security threats and mitigation strategies to effectively position Lakera’s solutions against emerging risks.
  • • Operate with autonomy in a fast-paced startup environment, taking ownership of projects from initial engagement through successful implementation.
  • • Travel as required to meet with customers, attend industry events, and support regional sales initiatives.

🎯 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 at least one hyperscaler (AWS, GCP, Azure), with preferred experience in Docker, Kubernetes, and Terraform.
  • • Demonstrated ability to navigate enterprise security, compliance, and IT processes for B2B product deployments.
  • • Strong written and verbal communication skills with experience presenting to technical and executive audiences.
  • • Experience working directly with customers of varying sizes, particularly large enterprises.

🏖️ 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.
  • • Collaborative, transparent culture with high ownership and accountability in a fast-moving startup environment.

Skills & Technologies

Python
JavaScript
AWS
Azure
GCP
Remote

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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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