Top Tech Jobs & Startup Jobs in Madrid

Leads strategic relationships with Health & Beauty clients, delivering consumer insights and consultancy that support commercial decisions and growth. Translates complex consumer panel and market data into compelling recommendations, manages projects and stakeholders, supports business development, collaborates internationally, and coaches junior team members.

Grow and manage Axelera AI’s developer community across forums, GitHub, social channels, and events. Responsibilities include answering technical questions, creating tutorials and product content, organizing webinars and meetups, building relationships with influencers and power users, advocating for community-requested product improvements, supporting open-source contributions, and tracking engagement and health metrics. The role requires technical literacy in AI hardware, SDKs, embedded systems, maker platforms, and AI-assisted content and analytics tools.

Leads a corporate sales team in Spain, driving monthly targets, enterprise negotiations, team performance, hiring, onboarding, training, and strategic initiatives. Analyzes sales data, manages C-level stakeholder relationships, collaborates on corporate partner onboarding, and represents the company at industry events and trade shows. Requires extensive sales leadership experience, HR and employee benefits knowledge, CRM expertise, and strong presentation skills.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Build and improve reliable, user-focused product experiences across the frontend and backend. Partner with Product, Design, and Engineering to understand user needs, propose solutions, implement features, troubleshoot software, write documentation, and contribute to technical and product decisions. Develop tested JavaScript or TypeScript code using React, Node.js, and related technologies while continuously learning and taking ownership of increasingly complex problems.

Build and ship LLM-powered tools, agents, and automations for marketing and growth teams. Identify repetitive processes, integrate AI with advertising, attribution, analytics, and marketing platforms, and deliver end-to-end solutions for reporting, creative generation, campaign analysis, and channel optimization. Measure business impact, collaborate with marketing stakeholders, and operate autonomously in a fast-moving startup environment.

Lead HR technology and automation for the People & Talent team. Redesign onboarding into automated workflows, build API-based low-code automations, develop internal AI agents with Dust, improve recruiting automation, and own compensation grid modeling and market competitiveness analysis. The role focuses on scaling team output, reducing operational bottlenecks, improving adoption of AI tools, and providing strategic financial inputs for compensation planning.

Partners with Account Executives to drive technical sales engagements, conduct discovery, deliver product demonstrations, manage evaluations and proofs of concept, resolve technical objections, and translate technical capabilities into business value. Collaborates with Sales and Product teams to improve sales materials and processes. Requires customer-facing technical presales experience, API knowledge, strong communication skills, and commercial acumen.

Design and build advanced GenAI workflows for image, video, audio, editing, automation, and multimodal content generation. Create showcase demos for investors, enterprise clients, marketing, and tutorials. Experiment with AI models, model chaining, LLM agents, and personalization pipelines; translate workflows into user-friendly widgets; and collaborate with AI engineers, UX designers, and product leaders to improve the platform.

Lead data strategy, architecture, governance, quality, compliance, and technology adoption. Translate stakeholder needs into scalable data initiatives, support advanced analytics and AI/ML, promote data literacy, and guide cross-functional teams toward data-driven decision-making.