Cyara - Vice President, Engineering
Requirements
• 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. • Preferred/Additional Skills & Attributes • Experience with GenAI/LLM technologies (e.g., GPT, Llama, etc.), RAG (retrieval-augmented generation), vector databases, LangChain, LangSmith or similar frameworks. • Experience with cloud platforms (AWS preferred) and container/orchestrator technology (Docker, Kubernetes). • Experience in a scale-up or growth stage environment, managing rapid change and transformation. • Demonstrated ability to drive organizational transformation, foster high trust cultures, champion DEIB in engineering, and lead through ambiguity. • Prior experience working with global engineering teams and remote/hybrid models. • Understanding of CX assurance, customer journey monitoring, chatbot testing or analogous domains is a plus. • $275,000 - $325,000 a year • This range indicates OTE. Individual pay is determined by skills, qualifications, experience, and location.
Responsibilities
• Engineering Leadership & Delivery • Develop and implement the technology strategy that aligns with Cyara’s business goals and objectives. • Oversee all aspects of the engineering lifecycle, from product development, deployment, operations, and maintenance. • Provide visionary leadership and mentorship to the engineering team, cultivating a culture of innovation, collaboration, quality and operational excellence. • Lead, recruit, develop, and retain high-performing engineering teams (including software engineers, QA, AI/ML teams). • Ensure rigorous adoption of software engineering best practices (CI/CD, agile methodologies, observability, security, resilience). • Own the transition from AI-assisted to AI-native development practices, establishing the frameworks, tooling standards, and engineering culture that position the team to build faster and better with AI at the core. • Collaborate closely with product management, technical operations, customer success and sales to define product roadmaps and deliver on-time, on-budget, high-quality products. • Manage engineering budgets, resource forecasting, vendor/partner relationships, and continuous improvement of tools, processes and infrastructure. • AI/ML & Platform Innovation • Lead the platform development for AI: ensure scalable and secure LLM API capabilities, data pipelines, vector databases, retrieval-augmented generation, and cloud-native infrastructure. • Foster innovation: stay ahead of emerging AI technologies, frameworks, tools and platforms, and translate them into business-impacting solutions. • Establish governance, responsible AI practices (bias mitigation, ethics, model monitoring, data privacy/security) and metrics to measure ROI of AI initiatives. • Partner with business stakeholders to identify high-value AI use cases, pilot proof-of-concepts, and scale successful solutions into production. • Strategic & Cross-Functional Leadership • Contribute to the company’s strategic vision and long-term planning in collaboration with the executive team. • Act as a senior engineering leader representing engineering in senior leadership meetings, ensuring alignment between business, product and engineering priorities. • Promote and uphold Cyara’s values and culture in the engineering organization by fostering inclusive, engaging, high-trust workplace environments. • Establish and track engineering metrics (velocity, quality, operational reliability, uptime, scalability, AI/ML model performance, ROI) and continuously drive improvement. • Manage vendor/partner ecosystems, architectural reviews, cloud cost optimization, technical due diligence for acquisitions or partnerships when required. • Communicate effectively across the organization, translating complex technical topics into business terms for audiences including senior leadership, investors or board.
Benefits
• 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.
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