Lakera AG logo

Solutions Engineer (Amsterdam)

Job Overview

Location

Amsterdam

Job Type

Full-time

Category

Software Engineering

Date Posted

June 26, 2026

Full Job Description

đź“‹ Description

  • • Serve as the primary technical point of contact for prospects evaluating Lakera’s AI Defense Platform, translating customer needs into tailored solutions aligned with their infrastructure.
  • • Partner with Customer Success teams to ensure rapid onboarding and value realization for customers post-sale, reducing time-to-value and increasing adoption.
  • • Develop and maintain comprehensive technical documentation, guides, and playbooks to standardize pre-sales processes and support post-sales workflows.
  • • Configure and customize Lakera’s platform to meet specific prospect and customer requirements, delivering minor technical changes as needed during implementation.
  • • Act as a bridge between customers and internal Product and Engineering teams, feeding direct feedback from enterprise clients into product roadmap decisions.
  • • Build scalable Solutions Engineering frameworks by creating repeatable best practices, templates, and methodologies to support growth across global markets.
  • • Demonstrate Lakera’s AI security solutions through live technical demonstrations, proof-of-concepts, and workshops to enterprise decision-makers and technical stakeholders.
  • • Collaborate cross-functionally with Sales, Customer Success, Product, and Engineering to ensure alignment on customer outcomes and product evolution.
  • • Navigate complex enterprise security, compliance, and IT procurement processes to facilitate smooth B2B deployments for Fortune 500 companies and startups alike.
  • • Represent Lakera at industry events, conferences, and customer meetings, delivering presentations to audiences ranging from small groups to large auditoriums.
  • • Maintain deep familiarity with Lakera’s platform, including its integration capabilities, API structure, and security architecture, to provide accurate and confident technical guidance.
  • • Proactively identify opportunities to improve customer experience by analyzing implementation challenges and proposing systemic solutions.
  • • Work in a fast-paced, high-autonomy environment where ownership of outcomes is expected, and initiative drives impact.
  • • Contribute to building a culture of transparency, accountability, and innovation aligned with Lakera’s mission to secure the future of AI.

🎯 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 comfort presenting to customers in 1:1, small group, and large venue settings
  • • Self-starter mindset with organizational skills and a track record of driving projects to completion in fast-moving environments

🏖️ Benefits

  • • Competitive total compensation package blending salary, equity, and benefits
  • • Hybrid work model with in-office collaboration in Amsterdam
  • • Opportunity to shape the future of AI security at a company backed by Check Point
  • • Exposure to cutting-edge AI defense technology and real-world enterprise use cases
  • • Participation in a mission-driven culture focused on ethical and secure AI adoption
  • • Access to Lakera’s internal Slack community for AI safety and security professionals

Skills & Technologies

Python
JavaScript
AWS
Azure
GCP
Hybrid

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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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