About OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
What You Will Be Doing
- Drive AI transformation across the CTO department, with potential impact company wide.
- Own oversight of all AI initiatives within the CTO department and report progress to executive leadership.
- Partner with product leaders to embed AI into solution campaigns, sales enablement, and customer messaging.
- Translate technical AI work into clear business value and customer-facing use cases.
- Gather business needs and opportunities from Product VPs and channel them into the AI roadmap with data science and engineering.
- Collaborate closely with the data science team and engineering managers on roadmap execution.
- Provide technical feedback to stakeholders on AI feasibility and scope.
What We Need From You
- Experience bridging AI/ML technology and business outcomes.
- 5+ years of experience in cybersecurity or critical infrastructure.
- Previous involvement in defining or shaping AI strategy within an organization.
- Working understanding of machine learning, deep learning, and LLM fundamentals.
- Proven ability to translate technical concepts into business value for executives and customers.
- Strong communication and stakeholder management skills across technical and business audiences.
- Experience with roadmap planning and executive reporting.
- A grounded, pragmatic approach to AI.
Nice to Have
- Experience launching or developing an AI-first product from concept to market.
- Hands-on experience launching AI-powered features or go-to-market campaigns.
- Familiarity with applied AI use cases in enterprise software environments.
- Exposure to working with data science teams in a product or strategy capacity.
- Experience contributing to sales enablement, positioning, or messaging for AI-powered products.
- Track record of partnering with sales, marketing, or customer-facing teams to drive product adoption.