Accelerating progress. Redefining possibilities. 

Position Overview

Reva is seeking a Product Manager to define and drive the roadmap for identity, policy, and authorization controls within AI and agentic systems. This role involves working directly with the VP of Product and cross-functional teams to deliver enterprise-grade security features that address emerging AI risks. The position offers significant ownership, exposure to enterprise customers, and the opportunity to work on cutting-edge AI security challenges in a startup environment.

Key Responsibilities

• Define and refine the product roadmap for identity, policy, and authorization controls in AI and agentic systems.
• Translate customer and security requirements into clear specifications, PRDs, and user stories.
• Collaborate with engineering teams to deliver adaptive access, runtimeguardrails, and identity-aware AI security solutions.
• Conduct competitive analysis across IAM and AI security products.
• Prototype workflows and product concepts using AI tools for early-stage validation.
• Support customer demos, proof of concepts (POCs), and onboarding with domain and product expertise.
• Drive execution with a bias for action, focusing on rapid iteration and continuous learning.

Required Skills and Experience

• 3–4 years of experience as a Product Manager or Product Owner in cybersecurity (IAM, PAM, ZTNA, or policy enforcement).
• Strong understanding of policy-as-code and authorization models (RBAC,ABAC, PBAC, OAuth2, OIDC, SAML, JWT).
• Familiarity or strong curiosity about AI/agentic AI security challenges such as prompt injection, data leakage, and identity spoofing.
• Practical experience with prototyping tools like Lovable, Replit, Figma, or Bolt.
• Ability to collaborate with technical teams and translate complex security concepts into usable features.
• Excellent communication skills, both written and verbal.

Preferred Qualifications

• Master’s degree in technology or MBA.
• Relevant cybersecurity certifications such as CISSP, CISM, CCSP, or IAM specific credentials.
• Experience in early-stage startups or high-growth technology environments.
• Passion for AI security and policy innovation with hands-on problem-solving ability.

Ideal Candidate Profile

The ideal candidate is a proactive cybersecurity product manager with a strong foundation in identity, policy, and authorization who is eager to explore the evolving world of AI security. This person thrives in ambiguity, prototypes ideas quickly, and excels at turning emerging risks into practical security solutions.

Perks and Benefits

• Work on cutting-edge AI security challenges shaping enterprise AI adoption.
• Direct mentorship from senior product leaders and co-founders.
• Exposure to enterprise customers, CISOs, and early adopters of AI security.
• Startup culture emphasizing ownership, autonomy, and rapid growth opportunities.
• Flexible working setup (remote or hybrid depending on location).

Here is a suggested job description for a Senior UX Designer, organized into key sections:

Position Overview

The Senior UX Designer will lead the design of user interfaces and interactions for our digital products. This role involves collaborating with cross-functional teams tocreate innovative, intuitive, and effective user experiences that meet business goalsand delight customers. The Senior UX Designer will also mentor junior designers and help shape the overall user experience strategy.

Key Responsibilities

• Lead the end-to-end UX design process, from user research and conceptideation to prototyping and final implementation.
• Conduct user research to gather insights and translate them into actionable design strategies.
• Create wireframes, user flows, interactive prototypes, and high-fidelity mockups using industry-standard tools.
• Collaborate closely with product managers, developers, and other stakeholders to ensure designs are user-centered and technically feasible.
• Conduct usability testing, analyze feedback, and iterate on designs to improve user experience.
• Mentor and guide junior UX designers, sharing best practices and emerging design trends.
• Ensure design consistency and adherence to accessibility standards across all products.

Required Skills and Experience

• Bachelor’s degree in Design, Human-Computer Interaction, or a related field; Master’s degree preferred.
• 5+ years of experience in UX design, preferably with experience in leading projects or teams.
• Strong portfolio demonstrating expertise across user research, interaction design, wireframing, and prototyping.
• Proficiency with design and prototyping tools such as Figma, Sketch, AdobeXD, InVision, or similar.
• Experience conducting both qualitative and quantitative user research.
• Ability to collaborate effectively with cross-functional teams and communicate design rationale clearly.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications

• Experience mentoring or managing junior designers.
• Familiarity with accessibility standards and inclusive design practices.
• Experience working in Agile/Scrum environments.
• Knowledge of front-end technologies and their impact on design implementation.
• Background working on enterprise or consumer digital products.

Position Overview:

Seeking an experienced Senior DevOps Engineer / Lead to develop and manage scalable infrastructure and deployment pipelines. The candidate will build Terraform scripts, CI/CD pipelines using AWS Code Pipeline and GitHub, and containerize applications using Docker. The role involves setting up and scaling Kubernetes clusters and establishing Site Reliability Engineering (SRE) practices using the Grafana monitoring stack. The candidate should have strong expertise in AWS cloud and proficiency in at least one additional cloud platform (GCP or Azure).

Key Responsibilities

• Design, develop, and maintain Terraform scripts for infrastructure as code (IaC).
• Build, automate, and maintain CI/CD pipelines using AWS Code Pipeline, GitHub Actions, or similar tools.
• Containerize applications with Docker and manage container orchestration with Kubernetes (EKS preferred).
• Architect, deploy, and scale Kubernetes clusters in production environments.
• Implement and maintain Site Reliability Engineering (SRE) practices including monitoring, alerting, and logging using Grafana, Prometheus, and related tools.
• Automate operational tasks and improve system reliability and performance.
• Collaborate with development and QA teams for smooth software delivery and rollouts.
• Ensure cloud infrastructure security and compliance best practices.
• Troubleshoot complex production issues and lead root cause analysis efforts.

Required Skills and Experience:

• 7+ years in DevOps, cloud engineering, or related roles.
• Strong experience with AWS cloud services (EC2, S3, IAM, VPC, EKS, CloudWatch, etc.).
• Experience with at least one more cloud provider: Google Cloud Platform or Microsoft Azure.
• Expertise in Terraform for infrastructure as code.
• Proficient in building CI/CD pipelines using AWS Code Pipeline, GitHub Actions, Jenkins, or similar tools.
• Hands-on experience with Docker containerization and Kubernetes cluster management.
• Solid understanding of Site Reliability Engineering (SRE) concepts and practical experience using the Grafana stack for monitoring and observability.
• Familiarity with Linux system administration and networking concepts.
• Good scripting skills in Bash, Python, or similar.
• Strong communication and leadership abilities to guide engineering teams.

Preferred Qualifications:

• Certified AWS DevOps Engineer or Terraform Associate certification.
• Experience with Prometheus, ELK stack, or other monitoring/logging tools.
• Previous experience in a lead or senior role managing a DevOps or SRE team.

Perks and Benefits

• Work on cutting-edge AI security challenges shaping enterprise AI adoption.
• Direct mentorship from senior product leaders and co-founders.
• Exposure to enterprise customers, CISOs, and early adopters of AI security.
• Startup culture emphasizing ownership, autonomy, and rapid growth opportunities.
• Flexible working setup (remote or hybrid depending on location).

Position Overview:

Seeking a Senior Full Stack Engineer with deep expertise in Java to design and implement complex architectures across frontend and backend systems. The ideal candidate excels at grasping intricate designs, rapidly adopting new technologies, and delivering scalable solutions. Hands-on experience in React for frontend and Python for scripting or backend will be a strong plus.

Key Responsibilities:

• Develop robust full stack applications with Java as the core backend language, including RESTful APIs and microservices.
• Design complex code, optimize performance, and integrate frontend-backend components seamlessly.
• Collaborate with cross-functional teams to review code, mentor juniors, and drive end-to-end feature delivery.
• Debug issues, conduct unit/integration testing, and ensure high-quality, maintainable codebases.
• Quickly learn and incorporate emerging technologies to enhance system capabilities.

Required Skills and Experience:

• 7+ years in full stack development with strong, deep Java proficiency (Spring Boot, Hibernate preferred).
• Proven ability to handle complex designs, architectures, and rapid technology adoption.
• Experience with databases (SQL/NoSQL/Neo4j), Git, and agile methodologies.
• Familiarity with cloud platforms like AWS, Azure, or GCP for deployment.
• Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications:

• Hands-on React for modern UIs and Python for automation or additional backend work.
• Knowledge of Docker, Kubernetes, or CI/CD pipelines.
• Bachelor's in Computer Science or related field; relevant certifications (e.g., Java, Spring).

Perks and Benefits

• Work on cutting-edge AI security challenges shaping enterprise AI adoption.
• Direct mentorship from senior product leaders and co-founders.
• Exposure to enterprise customers, CISOs, and early adopters of AI security.
• Startup culture emphasizing ownership, autonomy, and rapid growth opportunities.
• Flexible working setup (remote or hybrid depending on location).