Relyance AI

Product Designer

• Leading the design of user interfaces for our Trust & Governance platform.
• Working with a team of designers and researchers to create user-centered designs.
• Conducting user research to understand the needs of our users.
• Creating wireframes, prototypes, and high-fidelity mockups.
• Presenting designs to stakeholders and incorporating feedback.
• Collaborating with engineers to implement designs.
• Staying up-to-date on the latest UX/UI trends.

Lead UX Designer

Full-stack Engineer

• Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI.
• Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend.
• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers.
• Being a key member of the team solving its most complex problems with the simple, pragmatic solutions.

Senior Software Engineer, ML

Security Engineer

• Define and drive the Data & AI Security roadmap — shaping how enterprises protect sensitive data and AI systems across cloud, model, and runtime environments.
• Deeply understand customer needs and workflows — how data moves through AI models, APIs, and agentic workflows — to identify risks and uncover opportunities for protection and visibility.
• Translate strategy into clear product requirements and measurable outcomes, ensuring alignment across engineering, design, and go-to-market teams.
• Lead the end-to-end product lifecycle — from concept and design through launch, adoption, and continuous improvement — balancing innovation with reliability and trust.
• Collaborate cross-functionally: With Engineering, to design scalable and secure data and AI protection capabilities; With GTM and Marketing, to position and launch differentiated offerings; With Executives, to align roadmap priorities with company strategy; With Customers, to validate real-world use cases and drive adoption.
• Stay ahead of emerging threats and technologies in AI, data, and runtime security — including AI agents, orchestration frameworks, and autonomous execution patterns.

Principal Product Manager – Data & AI Security

Site Reliability Engineer

• Lead Cloud-Infrastructure components with high-availability, scalability, and reliability mindset.
• Define Service-Level Objectives (SLO) and Service-Level Indicators (SLI) for microservices in production.
• Advocate engineering best practices, code reviews and automated unit/end-to-end testing and deployment to stage and production systems.
• Optimize cloud-based infrastructure environments to control overall costs.
• Automate deployment of cloud-infrastructure components using Infrastructure-as-Code.
• Design and implement observability and alerting framework to detect problems and avoid downtime.
• Plan, architect and build networking topologies for secure communication between cloud components.
• Monitor and resolve high, medium, and low vulnerabilities or threats detected in source-code and cloud-infrastructure within defined SLAs.
• Set up policies and frameworks for secure, least-privilege access to production environments.
• Shape direction of infrastructure and build a cohesive team culture of ownership, growth, transparency, and customer focus.

Lead UX Designer

Senior Software Engineer, ML

Principal Product Manager – Data & AI Security

Senior DevSecOps Engineer