Full-Time
Director UX/UI Design
Posted on 3/17/2025
Relyance AI
51-200 employees
Real-time data privacy compliance platform
Compensation Overview
$180k - $220k/yr
San Francisco, CA, USA
Hybrid
 UI/UX & Design (1) |
|---|
- 8+ years of experience in UX/UI design.
- A strong portfolio of user-centered design work.
- Experience with user research methods.
- Experience with design tools such as Figma, Sketch, and Adobe Creative Suite.
- Excellent communication and presentation skills.
- A passion for creating user-friendly and engaging interfaces.
- Experience in designing and building Software as a Service products.
- Startup/early-stage company experience.
- 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.
- Experience with data visualization.
- Experience with AI/ML.
Relyance AI provides a SaaS platform for data protection and privacy compliance. It uses machine learning to create a real-time inventory and map of where personal data lives and how it moves across code, applications, infrastructure, and third-party vendors. The platform delivers a compliance dashboard with real-time monitoring, alerts, and actionable insights, enabling organizations to compare their data processing activities against contractual obligations and regulatory requirements. Unlike many privacy tools, Relyance AI focuses on automated, continuous data-flow tracking to reduce manual work and lower the risk of non-compliance. The company serves organizations handling large volumes of personal data in regulated industries such as tech, finance, healthcare, and e-commerce. Its goal is to help these organizations meet privacy rules, maintain user trust, and streamline compliance through automated, accurate data monitoring.
Company Size
51-200
Company Stage
Series B
Total Funding
$62M
Headquarters
Mountain View, California
Founded
2020
Simplify's Take
What believers are saying
- $32M Series B from Thomvest and M12 fuels AI governance expansion.
- Gartner's 40% AI breach prediction by 2027 boosts Lyo demand.
- 65% shadow AI prevalence drives free 30-day trial adoption.
What critics are saying
- Varonis erodes share with behavioral DSPM analysis in 6-12 months.
- OneTrust's TrustArc acquisition captures mobile CMP market in 6-12 months.
- Lakera undercuts Lyo with agent runtime shielding in 3-9 months.
What makes Relyance AI unique
- Lyo autonomously monitors AI agents' data interactions across cloud and SaaS.
- Data Journeys maps real-time data flows from code to AI models.
- Mobile CMP uses AI scanning for unified iOS/Android consent management.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 11%1 year growth
↑ 20%2 year growth
↑ 10%Relyance AI has launched Lyo, described as the industry's first autonomous data defence engineer designed to monitor how AI agents interact with enterprise data. The tool addresses security gaps as autonomous AI agents gain access to sensitive data and trigger workflows at machine speed. Powered by Relyance's AI Data Journeys, Lyo continuously monitors data activity across cloud infrastructure, SaaS applications and AI agents, providing contextual intelligence rather than static scanning. The platform offers unified visibility, identity-to-data mapping, 24/7 monitoring and natural language query capabilities. The launch comes as Gartner predicts over 40% of AI-related data breaches by 2027 will stem from improper generative AI use. Relyance AI, whose clients include Coinbase, Notion and Canva, will demonstrate Lyo at RSAC 2026 in San Francisco.
Event overview: AI security takes center stage. At the RSAC(TM) 2026 conference (march 23-26) in san francisco, Relyance AI (booth S-3137) joined 100s of security leaders focused on one urgent priority: securing AI in an increasingly complex data and identity ecosystem. Its booth saw strong, consistent engagement throughout the week, with security and privacy leaders eager to see live demos of its platform in action. A standout moment was the response to Lyo(TM), its 24/7 Data Defense Engineer, which sparked deeper conversations about how teams can instantly query and understand compound risk across their data, identities, and AI systems, something most organizations admitted they still struggle to do today. The recurring theme: it's not a tools problem, it's a context problem. One conversation kept repeating itself at its booth. Security leaders would walk Relyance Inc. through their stack - a DSPM here, a CSPM there, maybe a new AI inventory tool - and then say some version of the same thing: "I can see pieces of the picture, but nothing connects them." That's the gap. Most organizations aren't short on tooling. They're short on the connective tissue between what those tools surface. One product classifies your data. Another maps your identities. Another inventories your AI assets. Each produces findings that look manageable in isolation - a medium-severity overprivileged service account, a loosely scoped MCP tool, PII sitting in a production data store. But when those findings converge on the same path, the risk isn't medium anymore. It's a compound breach chain that no single tool was designed to see. The result is that security teams spend hours every day manually stitching context across consoles just to triage a single risk. That investigation tax was already painful. With AI agents now chaining actions - and threats - at machine speed, it's becoming untenable. This was the undercurrent of nearly every demo and conversation Relyance Inc. had at RSAC this year: risk compounds, and tooling that treats findings in isolation can't keep up. Key takeaways: AI security = data visibility + context + control. Given that context gap, attendees weren't just looking for another point solution - they wanted visibility, connected risk, and speed. From hundreds of conversations, three themes stood out: 1. Complete visibility into AI data flows: Security teams admitted they often lack a clear view of AI data movement. Traditional tools only show where data sits or who accessed it - not how it flows. Relyance AI solves this by mapping full Data Journeys across code, cloud, SaaS, and AI systems, creating a unified graph of data, identities, and flows. 2. Detecting real AI risk, not just alerts: Many organizations are drowning in alerts that don't reflect actual risk. This is exactly the context problem in action, isolated findings that look manageable on their own but become critical when connected. With Relyance AI, teams can connect data classification, identity access, runtime behavior, and infrastructure to reveal compound risk, the kind that only surfaces when you see the full chain. 3. Rapid response and containment: When incidents happen, understanding which data, systems, and users are impacted is critical,but most teams take days to answer. Relyance AI surfaces the full blast radius in minutes, enabling faster containment and reducing damage. How Relyance AI can help. Its latest innovation, Lyo - its 24/7 Data Defense Engineer - directly addresses these needs by making risk intelligence immediate, continuous, and actionable. Lyo allows teams to ask natural language questions about their risk posture, where sensitive data is exposed, which identities have access, how data flows into AI systems, and receive instant, contextual answers powered by Relyance's unified graph of data, identities, and AI assets. What surprised Relyance Inc. most? Even mature security teams admitted they lack a unified view across data, identity, and AI systems, validating the urgency of its approach. From insight to action: secure your AI stack now. AI security starts with understanding your data. where it lives, how it moves, and where it's exposed. Relyance AI helps organizations eliminate blind spots, detect real risks, and respond instantly with confidence. If you're looking to: * Gain full visibility into your AI data attack surface * Detect real breach paths across data, identity, and infrastructure The next step is simple: connect with Relyance Inc. to see it in action. Explore its platform, including Ask Lyo, and schedule a personalized demo to learn how Relyance AI can help you secure AI at scale.
Privacy doesn't stop at the browser: introducing Relyance AI mobile consent management. February 24, 2026 4 min. Read Jessica Pate Lead, Product Management For years, mobile consent has been the "black box" of privacy compliance. While web consent management evolved into sophisticated, automated platforms, mobile apps remained stuck in a world of manual SDK tracking, fragmented consent records, and engineering-heavy implementations that slowed down releases and frustrated privacy teams. Relyance Inc. is thrilled to announce the availability of Relyance AI Mobile CMP, bringing its robust consent management to your native iOS and Android applications. For the first time, privacy teams can manage user consent across web and mobile from a single unified platform. The mobile black box. Mobile apps are fundamentally different from websites. They're powered by dozens of third-party SDKs for analytics, advertising, crash reporting, and feature functionality. Each SDK can independently collect data the moment your app launches, often before users even see a consent prompt. This creates three critical problems: 1. Discovery blind spots Privacy teams have no reliable way to know which SDKs are actually embedded in their apps. Manual code reviews are time-consuming, error-prone, and immediately outdated as developers ship new versions. 2. Engineering bottlenecks Every consent requirement becomes a development ticket. Updating a banner design, adding a new data category, or adjusting consent logic requires code changes, QA cycles, and app store submissions. This easily turns simple compliance updates into multi-week projects. 3. Fragmented records Web consent lives in one system, while mobile consent lives in another. Privacy teams have no unified view of a user's consent preferences across their digital journey, making audits painful and compliance verification nearly impossible. The result? Privacy teams operating with incomplete visibility, developers drowning in consent-related work, and users experiencing inconsistent privacy controls. Introducing its mobile CMP. Relyance AI Mobile CMP eliminates the manual work, fragmented systems, and compliance blind spots that have plagued mobile consent for years. AI-powered app scanning. Stop guessing which trackers are hiding in your code. Upload your .ipa or .apk file, and its AI-native scanner automatically discovers and classifies every SDK and data endpoint embedded in your application. No more manual code reviews or outdated spreadsheets. Just complete, accurate visibility into what's actually collecting data in your app - updated with every new build. No-code interface builder. Design beautiful, brand-aligned consent banners for mobile in minutes. Its visual builder supports both light and dark mode, ensuring your consent experience feels native to the mobile experience while maintaining perfect regulatory compliance. You can easily update your UI or compliance rules in the Relyance platform. Full native & cross-platform support. Whether you're building in Swift, Kotlin, React Native, or Flutter, Relyance Inc. is going to cover you. Its lightweight SDKs provide seamless, high-performance integration that won't slow down your app or your developers. Native iOS and Android SDKs ensure optimal performance and user experience, while its React Native support makes it easy to maintain consistent consent management across platforms without duplicating effort. Unified consent logs. Every "Allow" or "Decline" is captured in a single, auditable record shared with your web CMP data. You get one source of truth for your entire digital footprint. If an auditor asks about consent, easily pull a unified report spanning all digital touchpoints in seconds. Users trust brands that remember their choices and honor them consistently, regardless of where they interact. How it works. Getting started is straightforward: * Scan your mobile app: Navigate to Digital Properties in Settings and submit your app for scanning * Upload for analysis: Provide your .ipa or .apk file - its AI scanner identifies all SDKs and tracking technologies * Configure consent: Use the same familiar interface as its web CMP to set up behaviors, templates, and compliance rules * Integrate the SDK: Add its lightweight SDK to your app using its comprehensive documentation * Deploy and monitor: Launch your consent experience and track everything from a unified dashboard Why this matters. For many brands, mobile apps drive more revenue and deeper user engagement than web properties. Yet mobile consent has remained a fragmented afterthought - creating legal blind spots, engineering overhead, and broken user experiences. For privacy teams, this means complete visibility and control. No more wondering if your app is compliant. No more manual SDK audits before every release. Just AI-powered discovery, automated classification, and unified reporting that makes audits painless. For Engineering Teams, this means dramatically reduced workload. Consent is easily managed through configuration. For users, this means consistent, trustworthy experiences. Their privacy choices are honored everywhere - web, mobile, and beyond - creating the kind of trust that drives long-term loyalty and reduces opt-out rates. From fragmentation to unity. Its Mobile App CMP is a natural extension of the same AI-native platform for web consent management. The same intelligent scanning technology that automatically discovers and classifies web trackers now works on mobile SDKs. The same proactive alerting that catches unauthorized scripts on websites now monitors app builds. The same unified consent orchestration that enforces preferences across web properties now extends to mobile apps. It's a unified privacy platform designed from the ground up to manage consent across your digital ecosystem. Traditional privacy tools force you to manage web and mobile separately through point solutions. This fragmentation creates gaps where violations hide and audits become nightmares. Relyance AI takes a different approach by providing a single source of truth for complete visibility across digital footprints. When consent is unified, you can achieve compliance at scale and transform privacy into a competitive advantage. Ready to extend privacy across your digital ecosystem? Mobile consent management is now available to all Relyance AI customers as an add-on license. Contact your account team or request a demo to see how unified web and mobile consent management can eliminate blind spots, reduce engineering overhead, and build user trust at scale. Privacy doesn't stop at the browser, and neither should your consent management platform. You may also like. Your privacy platform should be as smart as your engineering team. The ROPA that thinks with you: why Relyance Inc. rebuilt compliance from the ground up. February 24, 2026 AI inventory for agentic AI: why visibility is the first step. February 19, 2026
Relyance AI launches free 30-day AI Governance trial to help enterprises eliminate Shadow AI. SAN FRANCISCO, November 04, 2025-(BUSINESS WIRE)-Relyance AI, the leading AI-native data security platform, today announced a limited-time free trial program for its AI Governance Expert, providing qualifying organizations with 30 days of complete AI visibility at no cost. The offer comes as enterprises face mounting pressure to govern AI systems that are being deployed faster than traditional security and compliance tools can track. Recent industry data reveals that 65% of AI tools operate without IT approval, creating significant blind spots for security and compliance teams. With new AI regulations emerging quarterly - including the EU AI Act, ISO 42001, and NIST AI RMF - organizations can no longer afford to operate without clear visibility into their AI footprint. "Every AI breakthrough begins with a fundamental question: 'Can we trust this?'" said Nishant Shah, Head of Product, AI at Relyance AI. "For too long, organizations have been forced to choose between innovation speed and responsible development. This free trial eliminates that false choice by giving teams immediate visibility into every AI model, API, and embedded AI feature across their enterprise." The 30-day free trial provides organizations with immediate access to AI Governance Expert's core visibility features, including: * Comprehensive AI Discovery: Automatic detection of all first-party and third-party AI models across platforms including OpenAI, AWS Bedrock, SageMaker, and Google Vertex AI * Shadow AI Detection: Identification of unsanctioned AI tools and AI functionality embedded within SaaS applications like Salesforce, Zoom, Notion, and HubSpot * Automated Risk Scoring: Real-time AI risk assessments for third-party vendors and internal models * Live AI Inventory: Continuous tracking of which systems are calling external AI models like GPT-4, Claude, or Gemini "Every enterprise needs to understand where AI is operating, not just the approved models but the hidden ones," said Heather Allen, Chief Privacy Officer at CHG Healthcare. "That's why tools like Relyance's AI Governance Expert are becoming essential." Unlike traditional data security tools that only scan static data, Relyance AI's platform leverages its proprietary Data Journeys(TM) technology to map dynamic data flows in real-time - from source code through cloud runtime to AI models. This approach provides the continuous visibility and governance capabilities that modern AI-driven organizations require.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Relyance AI, a data governance platform provider that secured $32.1 million in Series B funding last October, is launching a new solution aimed at solving one of the most pressing challenges in enterprise AI adoption: understanding exactly how data moves through complex systems.The company’s new Data Journeys platform, announced today, addresses a critical blind spot for organizations implementing AI — tracking not just where data resides, but how and why it’s being used across applications, cloud services, and third-party systems.“The fundamental premise is making sure that our customers have this AI native, context-aware view, very visual view of the entire journey of data across their applications, services, infrastructures, third parties,” said Abhi Sharma, CEO and co-founder of Relyance AI, in an exclusive interview with VentureBeat. “You can really get at the heart of the why of data processing, which is the most foundational layer needed for general AI governance.”The launch comes at a pivotal moment for enterprise AI governance. As companies accelerate AI implementation, they face mounting pressure from regulators worldwide. More than a quarter of Fortune 500 companies have identified AI regulation as a risk in SEC filings, and GDPR-related fines reached €1.2 billion in 2024 alone (approximately $1.26 billion at current exchange rates).How Data Journeys tracks information flow where others fall shortThe platform represents a significant evolution from conventional data lineage approaches, which typically track data movement on a table-to-table or column-to-column basis within specific systems.“The status quo for data lineage is basically table to table and column level lineage