Top Tech Jobs & Startup Jobs in Barcelona

Senior Legal Counsel for EMEA advising on complex cross-border employment matters across 100+ jurisdictions. Lead employment law advisory, manage high-risk employee relations and litigation strategy, negotiate commercial agreements, mentor junior lawyers, build legal playbooks and scalable legal operations, partner with Product and Engineering on compliance automation, and advise on GDPR and privacy for employees, contractors and customers.

As a Senior Product Designer, you'll lead the design for a B2B platform, collaborating with teams to modernize workflows, utilize user research, and mentor junior designers.

The Solutions Engineer partners with Sales and Customer Engineering, guiding customers through database migrations and optimizing solutions. Responsibilities include technical discovery, designing migrations, assessing workloads, creating tools and documentation, and collaborating with teams for customer needs.

The Senior Data Analyst (CX) will analyze customer experience data, optimize workflows, and collaborate with teams to improve customer support through insights and reporting.

Manage customer accounts, optimize product use, provide strategic guidance, and ensure compliance with risk and fraud solutions. Collaborate with internal teams for client needs.

Run end-to-end business operations: people ops (onboarding/offboarding, HRIS), office and culture, board and investor relations, vendor and contract review, and corporate admin. Work closely with founders, manage high-stakes processes, and automate repetitive tasks using AI.

The role involves developing high-quality Vue.js applications, creating interactions, collaborating with back-end engineers, and writing tests.

The Tech Brand Manager will build and sustain an engineering community, create engaging technical content, represent Solidgate at events, and support engineers in public engagements while tracking metrics for community growth and content success.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.