Job Overview
Location
Madrid
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Identify manual, repetitive, and error-prone operational workflows across finance, sales, procurement, legal, and customer support teams.
- • Design and build internal tools, automations, and lightweight services using Python, SQL, APIs, and scripting languages to replace ad hoc processes.
- • Own end-to-end development of production-quality systems including APIs, cron jobs, data pipelines, and internal dashboards from design through deployment, monitoring, and iteration.
- • Integrate disparate enterprise systems to streamline cross-functional operations and reduce dependency on administrative headcount.
- • Analyze operational data to prioritize high-leverage improvements and quantify the impact of automation initiatives.
- • Improve go-to-market operations by building tooling that connects sales, finance, and legal workflows with structured, automated processes.
- • Support contract management and procurement through automated, scalable workflows that ensure compliance and reduce manual effort.
- • Ensure data accuracy, reliability, and observability across all operational systems to enable trustworthy decision-making.
- • Execute ambiguous, high-impact operational projects with minimal guidance, taking full ownership from problem identification to solution delivery.
- • Apply extreme ownership by proactively identifying broken processes and fixing them without waiting for direction, regardless of team boundaries.
- • Maintain high standards of craftsmanship by sweating details in every system built, ensuring long-term maintainability and resilience to edge cases.
- • Operate with urgency and focus, prioritizing actions that deliver the highest impact in the shortest time while avoiding chaos through disciplined alignment.
- • Collaborate with engineering and business teams to translate operational needs into technical solutions that scale with company growth.
- • Uphold the company’s operating principles of being "majos"—approachable, kind, and collaborative—while challenging assumptions and giving feedback with respect.
- • Apply first-principles thinking to rebuild processes from scratch rather than copying industry norms, enabling innovation beyond incremental improvements.
- • Contribute to a meritocratic culture where ownership, contribution, and talent density drive advancement, not titles or tenure.
🎯 Requirements
- • Strong software engineering fundamentals and comfort shipping real systems
- • Experience building automations or internal tools using Python, SQL, APIs, and/or scripting languages
- • Ability to reason about systems, edge cases, failure modes, and long-term maintainability
- • Strong business intuition—understanding how operational systems affect cost, speed, and scale
- • Extreme ownership: you find problems, design solutions, and ship without being asked
- • High agency, urgency, and comfort operating in ambiguity
- • Clear written and verbal communication
🏖️ Benefits
- • Opportunity to work at a high-growth AI startup, backed by top investors including a16z, Y Combinator, and Base10
- • Ownership & Autonomy: Take full ownership of projects and ship fast
- • Top-Tier Compensation: Competitive salary + equity in a high-growth startup
- • Work With the Best: Join a world-class team of engineers and builders
- • Operating principles emphasizing craftsmanship, extreme ownership, and being "majos"
- • Culture of urgency with focus, talent density, and first-principles thinking
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About HappyRobot AI Inc.
HappyRobot AI builds voice AI agents that automate repetitive phone calls for logistics, freight, and supply-chain companies. Its cloud platform lets shippers, brokers, and carriers offload tasks like appointment scheduling, check calls, and rate negotiation to conversational bots that integrate with TMS, ELD, and CRM systems via API. The company targets mid-market and enterprise freight operations seeking to cut labor costs and accelerate data entry without sacrificing accuracy or carrier relationships.
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