Who we are
At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we’re a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We’re investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community.
About the Role
We're looking for a hands-on, technically driven Privacy Systems Analyst to own Rover's privacy technology platform stack. You'll be the technical operator behind our privacy compliance program: configuring, integrating, troubleshooting, and maintaining our privacy management platform and the systems connected to it. You'll partner closely with the GRC team, who own the program-level requirements, and make sure what compliance defines, the platform reliably delivers. We're especially looking for someone with a strong instinct for automating manual work, including with AI tooling, and the technical depth to keep the privacy stack performing at scale. This is a hybrid position that has the minimum expectation to work out of our Barcelona Office in the Poblenou neighborhood two days per week on Mondays and Thursdays.
What You'll Do
- Own the privacy platform: configure and maintain workflows, assessments, consent management, DSAR automation, and reporting. Be the go-to person when something isn't working.
- Coordinate consent and marketing preferences: support opt-in/opt-out workflows with Marketing, Legal, and Engineering; ensure preference signals are captured, synced, and enforced correctly downstream; troubleshoot gaps between what's configured and what's actually enforced.
- Manage integrations and APIs: own the API surface connecting the privacy platform to other Rover systems, including authentication, error handling, and monitoring.
- Handle DSARs end to end: ensure connectors fire correctly, monitor success rates, and resolve errors that block fulfillment.
- Keep RoPA and Data Map accurate: maintain connectors, validate data inventory, and onboard new sources.
- Lead new integrations: act as technical lead on integration projects, from design through go-live.
- Support incident response: partner with Cybersecurity on privacy/security incidents, owning platform-level triage and technical evidence collection.
- Build AI-driven automation: identify manual, repetitive work (DSAR intake, RoPA upkeep, documentation, vendor tickets) and build AI-assisted workflows to reduce it, always with human review for compliance-sensitive output.
- Document and mentor: keep configurations, runbooks, and troubleshooting guides current; support more junior team members.
- Own the vendor relationship: raise and manage technical escalations with evidence, and engage vendor professional services only when the work genuinely exceeds in-house capability.
In the greater Barcelona area the first-year salary range is €38,946 - €47,207. Additionally, Rover offers a long-term incentive plan with a company performance-based cash payout and benefits to full-time employees. Benefits include: * Long-term incentive plan with a company performance-based cash payout * Pension plan * Private medical insurance * 25 days PTO * Meal allowance and flexible compensation plan (transport and nursery) * Gym membership * €450 to cover the costs associated with the adoption of a pet * Annual €150 wellness reimbursement * Flexible work hours * Grab snacks, fresh fruit, in our kitchen to keep yourself going * Regular team activities, events, game nights, and more * Dog-friendly office
- Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience
- 2-5 years administering SaaS platforms, with experience leading moderately complex projects
- Hands-on experience with an enterprise privacy management platform (consent management, DSAR automation, data discovery)
- Working knowledge of REST APIs, OAuth/API keys, webhooks, and integration troubleshooting
- Understanding of SaaS architecture: environments, sandbox-to-production, change management
- Strong independent problem-solving and troubleshooting skills
- Clear communication, especially with non-technical stakeholders
- Comfortable working autonomously and knowing when to escalate
- Practical, hands-on experience using AI/LLM tools (Claude, ChatGPT, Copilot) to automate workflows, draft documentation, or accelerate troubleshooting
- Nice to have: Vendor certifications (OneTrust, Ketch, DataGrail, TrustArc, or similar), Cloud fundamentals certifications (AWS, Azure, GCP), GDPR/CCPA or global privacy regulation awareness, Scripting experience (Python, JavaScript), IAM/SSO knowledge, Experience with AI coding tools (Claude Code, Copilot, Cursor) or calling LLM APIs directly, Awareness of AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001)
