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).

Position Overview

At Reva, we are building AI-driven systems that intelligently recommend, design, and enforce access and policy controls. As a Senior AI Engineer, you will lead the design and implementation of ML and RAG-based recommendation engines and responsible for the end-to-end architecture to integrate these capabilities into production platforms.

This role is ideal for a strong engineer with deep AI/ML expertise who understands that models are only useful when they are reliable, scalable, and exposed cleanly through real systems.

Key Responsibilities

• Design and build ML and RAG-based recommendation engine
• Implement semantic search, embeddings, reranking, and relevance evaluation.
• Continuously improve recommendation quality using feedback loops and metrics.
• Own AI features from data to deployment, including:
  • Data ingestion and preprocessing
  • Feature engineering and embeddings pipelines
  • Model training, evaluation, and serving
  • API exposure and integration into backend systems
• Collaborate with platform and backend teams to integrate AI services into production workflows.
• Design and work with batch and streaming data pipelines supporting ML workloads.
• Ensure data quality, versioning, and reproducibility.
• Optimize inference latency and system reliability.

Required Skills and Experience

AI / ML

• Strong experience building production ML systems, not just experiments.
• Hands-on experience with:
  • Recommendation systems
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and vector search
• Familiarity with model evaluation, monitoring, and iteration.

Engineering & Architecture

• Strong backend engineering fundamentals.
• Experience designing scalable, distributed systems.
• Ability to expose ML systems via clean APIs (REST / gRPC).

Data & Pipelines

• Experience with data pipelines and ML workflows.
• Solid understanding of data stores, feature generation, and data lifecycle management.

Tech Stack (Representative, not mandatory)

• Languages: Python, Go, or Java
• ML: PyTorch, TensorFlow, scikit-learn, Hugging Face
• RAG Stack: LangChain, LlamaIndex, vector databases (FAISS, Milvus, Pinecone)
• Backend: FastAPI, Flask, Gin
• Data: Kafka, Spark, Airflow
• Infra: Docker, Kubernetes, Cloud (AWS/GCP/Azure)

Nice to Have

• Experience working with LLMs or GenAI platforms.
• Prior experience building policy, access control, or decisioning systems.
• Exposure to MLOps, model monitoring, and production reliability.
• Startup or fast-paced product environment experience.

Position Overview:

We are seeking a highly experienced and hands-on Principal DevOps Engineer to lead the design, automation, scalability, security, and operational excellence of our cloud platform.
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This role is intended for a senior technical leader who remains deeply involved in implementation. The successful candidate will be responsible for building and maintaining infrastructure as code, CI/CD platforms, cloud-native infrastructure, deployment automation, and developer enablement capabilities across the organization.
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This is not a management-only or architecture-only role. The Principal DevOps Engineer is expected to actively write and maintain infrastructure code, pipeline code, automation frameworks, and platform tooling while providing technical leadership and strategic direction.

Key Responsibilities

• Lead the architecture and evolution of the organization's cloud and platform infrastructure.
• Design, build, and maintain highly available, secure, and scalable AWS environments.
• Develop and maintain Infrastructure as Code using OpenTOFU and reusable infrastructure modules.
• Design, implement, and optimize CI/CD platforms and deployment automation frameworks.
• Build and maintain GitLab-based development workflows, repository standards, and release processes.
• Develop and maintain CodeBuild, CodePipeline, container build pipelines, artifact management processes, and deployment automation.
• Lead Kubernetes and container platform initiatives, including platform reliability, security, scalability, and operational excellence.
• Drive infrastructure standardization, governance, disaster recovery, and cloud security best practices.
• Implement monitoring, observability, alerting, and incident response capabilities.
• Troubleshoot complex infrastructure, networking, deployment, and production issues.
• Mentor engineers and establish DevOps and Platform Engineering best practices across teams.

Hands-On Engineering Expectations

The successful candidate will spend a significant portion of their time actively developing and maintaining:

• OpenTOFU modules and infrastructure code.
• CI/CD pipeline definitions and deployment automation.
• GitLab integrations and workflow automation.
• Container build, deployment, and release processes.
• Infrastructure automation scripts and platform tooling.
• Kubernetes deployment and operational automation.
• Monitoring, observability, and operational engineering solutions.

The role requires an engineer who is comfortable working directly in code repositories and contributing production-ready infrastructure and automation code on a daily basis.

Required Qualifications

• 10+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering, or Platform Engineering.
• Deep expertise in AWS cloud architecture and operations.
• Strong hands-on experience with Infrastructure as Code, particularly OpenTOFU or Terraform.
• Extensive experience building and maintaining enterprise CI/CD platforms.
• Strong experience with GitLab, source control workflows, and repository management.
• Proven experience with Kubernetes, containerized workloads, and cloud-native platforms.
• Strong understanding of networking, load balancing, DNS, VPNs, security, and cloud infrastructure design.
• Experience with monitoring, observability, logging, and operational excellence practices.
• Strong scripting and automation skills using Python, Bash, Go, or similar technologies.
• Experience supporting production systems requiring high availability, scalability, and security.

Preferred Qualifications:

• AWS Professional-level certifications.
• Kubernetes certifications (CKA, CKAD, or CKS).
• Experience building internal developer platforms and self-service infrastructure capabilities.
• Experience implementing GitOps and platform engineering practices.
• Experience operating large-scale multi-environment cloud platforms.

What Success Looks Like

The successful candidate will serve as the organization's technical authority for cloud infrastructure, DevOps, and platform engineering. They will drive automation-first practices, improve deployment velocity, strengthen reliability and security, and build scalable infrastructure platforms that enable engineering teams to deliver software efficiently and safely.
Most importantly, they will lead through technical contribution, regularly writing and maintaining infrastructure, automation, and deployment code rather than operating solely in an advisory capacity.

Position Overview:

You will be responsible for translating Reva's technology into compelling market narratives that resonate with customers, partners, analysts, and the broader security community.

Reporting directly to the founders, you will own product positioning, messaging, competitive intelligence, analyst relations, sales enablement, technical content strategy, and product launches. You will work closely with Product, Sales and Marketing to ensure Reva communicates a clear, differentiated, and compelling story.

This role is ideal for someone with deep experience in cybersecurity, identity, cloud security, or AI platforms who enjoys shaping markets, influencing industry conversations, and enabling enterprise sales.

Key Responsibilities

Product Positioning & Messaging

• Own Reva's product positioning and messaging across agent authorization and AI Security
• Develop differentiated messaging frameworks for executives, security leaders, architects, developers, and partners.
• Translate complex technical capabilities into compelling business value propositions.
• Ensure consistent messaging across product documentation, website content, sales collateral, and customer communications.

Product Launches & Go-to-Market

• Lead go-to-market strategy for new products, features, and platform releases.
• Develop launch plans, messaging, collateral, pricing support, and sales readiness materials.
• Partner with Product Management and Engineering throughout the product lifecycle.
• Coordinate cross-functional launch activities with Marketing, Sales, Customer Success, and Partners.

Analyst Relations

• Build and manage relationships with Gartner, Forrester, IDC, KuppingerCole, and other industry analysts.
• Develop analyst briefing strategies and executive presentations.
• Coordinate responses for analyst research, market guides, MQs, Waves, and vendor evaluations.
• Track analyst feedback and incorporate market insights into product strategy and messaging.

Thought Leadership & Technical Content

• Develop high-value content including whitepapers, solution briefs, reference architectures, technical blogs, research reports, and customer success stories.
• Partner with founders to publish executive viewpoints and industry perspectives.
• Collaborate with Product and Engineering to create educational content around AI Security, Identity, Authorization, and Agent Governance.
• Support speaking engagements, webinars, podcasts, and industry publications.

Competitive Intelligence

• Monitor the competitive landscape across AI Security, Authorization, Identity, API Security, and Cloud Security.
• Develop competitive battle cards, positioning documents, and objection-handling guides.
• Track market trends, customer buying behavior, and emerging technologies.

Market & Customer Insights

• Conduct customer interviews, market research, and voice-of-customer programs.
• Identify market opportunities and evolving customer requirements.
• Provide insights that influence product roadmap, messaging, and go-to-market strategy.
• Track technology, regulatory, and competitive developments affecting enterprise AI adoption.

Qualifications

Required

• 8–15 years of experience in Product Marketing, Product Strategy, or Technical Marketing within B2B enterprise software.
• Experience in cybersecurity, IAM, cloud security, AI, infrastructure software, or developer platforms.
• Strong product positioning, messaging, and storytelling skills.
• Experience leading enterprise product launches and go-to-market initiatives.
• Experience working with industry analysts and research firms.
• Ability to communicate complex technical concepts to executive and technical audiences.
• Excellent presentation, writing, and communication skills.
• Experience supporting enterprise sales organizations.

Preferred

• Experience in AI Security, Identity Security, Authorization, Zero Trust, or Cloud Security.
• Familiarity with Gartner Magic Quadrants, Forrester Waves, and analyst evaluation processes.
• Experience developing technical content and reference architectures

What Success Looks Like

First 6 Months

• Establish a clear and differentiated product messaging framework across all offerings.
• Successfully launch new products and major platform capabilities with strong sales readiness.
• Build relationships with key industry analysts and initiate regular briefing programs.
• Deliver comprehensive sales enablement assets and competitive intelligence.

First 12 Months

• Position Reva as a recognized thought leader in AI Security and Agent Authorization.
• Achieve inclusion in key analyst reports, market guides, and industry research.
• Improve win rates through stronger messaging and competitive positioning.
• Create a scalable product marketing function that supports rapid product innovation and enterprise growth.

Why Join Reva?

• Help define one of the fastest-growing categories in enterprise security.
• Work directly with experienced founders and industry veterans.
• Shape the future of AI Security, Agent Governance, and Authorization.
• Build a category-defining product marketing function from the ground up.
• Competitive compensation, ESOPs, and significant opportunities for growth and leadership.

Position Overview:

As Director of Marketing, you will own Reva's end-to-end marketing execution—from demand generation and integrated campaigns to digital marketing, events, marketing operations, and brand awareness.

Reporting directly to the founders, you will build the marketing engine that drives pipeline growth, supports enterprise sales, and positions Reva as a leader in AI Security and Agent Authorization.

This is a hands-on leadership role for someone who enjoys building marketing functions from the ground up, combining strategic thinking with operational execution.

Key Responsibilities

Demand Generation & Pipeline Growth

• Own marketing-sourced and marketing-influenced pipeline targets.
• Develop and execute integrated demand generation campaigns across digital, content, events, partner, and outbound channels.
• Build Account-Based Marketing (ABM) programs targeting CISOs, IAM leaders, AI platform teams, security architects, and enterprise decision makers.
• Partner closely with Sales to optimize the lead lifecycle, improve conversion rates, and accelerate pipeline velocity.
• Design scalable programs that generate predictable, measurable pipeline growth.

Campaigns & Growth Marketing

• Plan and execute multi-channel marketing campaigns supporting product launches, industry trends, webinars, customer stories, and thought leadership.
• Manage digital marketing initiatives including LinkedIn, Google, email, retargeting, and organic growth programs.
• Optimize website conversion, landing pages, and campaign performance.
• Experiment with new channels, AI-powered marketing tools, and growth strategies.

Brand & Content Marketing

• Build and execute Reva's content calendar across blogs, whitepapers, webinars, videos, newsletters, and social media.
• Drive executive visibility through founder-led content and social engagement.
• Ensure consistent messaging and brand identity across all marketing channels.

Events & Partner Marketing

• Own Reva's presence at industry conferences, webinars, executive roundtables, and customer events.
• Execute integrated event marketing campaigns before, during, and after events.
• Develop joint marketing initiatives with strategic technology and cloud partners.
• Maximize ROI from sponsorships, speaking opportunities, and field marketing investments.

Marketing Operations & Analytics

• Build a scalable marketing operations function supporting growth.
• Own marketing technology including CRM, marketing automation, analytics, attribution, and campaign reporting.
• Define dashboards, KPIs, and executive reporting for pipeline, campaign performance, CAC, conversion rates, and ROI.
• Manage marketing budgets, agencies, vendors, and future team members.

Qualifications

Required

• 8–15 years of B2B SaaS marketing experience.
• 3+ years leading marketing teams or marketing functions.
• Experience marketing cybersecurity, cloud security, IAM, AI, developer platforms, or enterprise infrastructure software.
• Strong track record building demand generation programs that drive qualified pipeline.
• Hands-on experience with digital marketing, campaign management, ABM, and marketing operations.
• Experience with marketing automation and CRM platforms (HubSpot, Salesforce, etc.).
• Strong analytical mindset with experience measuring campaign ROI and marketing performance.
• Excellent communication and leadership skills.
• Comfortable operating in a fast-paced startup environment.

Preferred

• Experience scaling marketing from early-stage startup through high-growth expansion.
• Familiarity with enterprise sales motions and long B2B buying cycles.
• Experience marketing AI, cybersecurity, identity, or cloud-native technologies.
• Knowledge of modern AI-powered marketing platforms and automation tools.

What Success Looks Like

First 6 Months

• Build a repeatable demand generation engine.
• Increase qualified inbound pipeline and marketing-influenced revenue.
• Launch integrated campaigns supporting product launches, webinars, and events.
• Improve website conversion and digital engagement.
• Establish marketing dashboards with clear attribution and performance metrics.

First 12 Months

• Deliver measurable contribution to ARR through marketing-sourced pipeline.
• Significantly increase brand awareness within enterprise AI Security and Identity markets.
• Scale ABM and partner marketing programs.
• Build a high-performing marketing organization with repeatable processes and measurable ROI.

Why Join Reva?

• Help define one of the fastest-growing categories in enterprise security.
• Work directly with experienced founders and industry veterans.
• Shape the future of AI Security, Agent Governance, and Authorization.
• Build a category-defining product marketing function from the ground up.
• Competitive compensation, ESOPs, and significant opportunities for growth and leadership.