AI Optimization Specialist

Cymulate’s Continuous Security Validation enables companies to challenge, assess and optimize their cyber-security posture against the evolving cyberthreat landscape, simply and continuously.

With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, we’re always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.

About the Role

Cymulate is seeking a sharp, execution-focused AI Optimization Specialist to lead the identification, design, and implementation of AI-driven efficiencies across all departments. This role will be instrumental in streamlining workflows, reducing costs, and improving productivity using modern AI tools and automation techniques. You will work closely with departmental leaders (Sales, Marketing, R&D, HR, Customer Success, Finance) to map processes, identify inefficiencies, and deploy scalable AI solutions.

What You Will Do

• Conduct a full audit of internal operations, job roles, and workflows across the company.
• Identify bottlenecks, inefficiencies, or repetitive/manual tasks that can be automated with AI.
• Evaluate and implement AI tools (e.g., copilots, chatbots, workflow automation, NLP, generative AI, data analysis models).
• Build and pilot internal AI use cases (e.g., automatic ticket triage, content generation, lead enrichment, meeting summarization, QA testing automation).
• Collaborate with security and IT to ensure tools are secure and compliant with company standards.
• Drive change management and onboard teams to AI-enhanced workflows.
• Measure impact: cost savings, time-to-execution improvement, productivity gains.
• Stay ahead of the curve with developments in AI tooling and assess new technologies continuously.

What You Have

• Proven experience implementing AI/automation solutions in fast-paced environments.
• Strong understanding of modern AI capabilities (LLMs, NLP, ML pipelines, RPA).
• Technical proficiency: ability to prototype solutions with Python, APIs, or no-code/low-code tools.
• Experience working cross-functionally with business units and tech teams.
• Strategic thinker with ability to balance quick wins and long-term impact.
• Excellent communication skills; able to explain technical concepts to non-technical audiences.
• Prior experience in a cybersecurity, SaaS, or scale-up company – advantage.