Develop and implement the technology strategy that aligns with Cyara’s business goals and objectives.
Focus on driving technical excellence, scalable product delivery, and embedding AI capabilities across our platform.
Lead and manage global engineering teams to deliver high-quality product outcomes.

Bachelor’s degree in Engineering, Computer Science, or related field. Master's or higher preferred.
15+ years of experience in engineering leadership roles, including managing large, complex, SaaS or cloud-native engineering organizations.
Demonstrated track record of building and scaling high-performing engineering teams (50+ engineers, multi-discipline, global) and delivering complex software products reliably and at scale.
Strong understanding of software development lifecycle (SDLC), agile methodologies, DevOps, cloud architecture, microservices, distributed systems.
Proven experience with SaaS platforms, managing scalability, reliability, performance, multi-tenant systems, and global delivery.
AI/ML experience: you have built, deployed and scaled machine learning or generative AI systems into production; you understand model training, inference pipelines, MLOps, vector retrieval, embeddings, NLP, generative AI, etc.
Strategic thinker with strong business acumen, capable of aligning technology strategy with business outcomes, driving innovation, and delivering measurable ROI.
Excellent leadership, communication, organizational, and interpersonal skills. You can influence senior stakeholders, partner across functions, and build a culture of excellence.
Familiarity with private equity‐backed companies or rapid growth environments is a plus.
Passion for customer-centric innovation and experience in customer experience / CX technology is preferred.

A culture that values innovation, curiosity, diversity, and delivering excellence for our customers.
A competitive compensation package (including base, bonus, and equity).
The chance to work with a high-performing global team in a fast-growing, dynamic environment, scaling capabilities that will define the future of CX assurance.
Collaboration across global teams with exposure to cutting-edge AI/ML initiatives and real-world enterprise-scale challenges.
Flexible work environment, competitive compensation, and a work culture that's results-oriented.

Vice President, Engineering

Key skills