AI-Native Tech Lead: Hands-On, Scale-Ready

Samaipata; Barcelona; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Cobee remuneration

Pension plan (Arca)

Short Fridays

Birthday/Gen anniversary days

Gym discount

Fresh fruit

Aticco office with views

Continuous learning

Career growth

Team gatherings

Job summary

Enginy is building the AI-native GTM platform in Barcelona. We’re seeking a Tech Lead to ship high-impact software, shape architecture and foster a high-performing, AI‑native engineering team.

You’ll own end-to-end delivery, mentor engineers, collaborate with Product and Design, and push the boundaries of AI-powered features while ensuring reliability and scalability as the company scales.

Qualifications

• 6+ years of software engineering experience with team leadership or technical lead.
• Strong backend fundamentals including system design and data-intensive workflows.
• Experience working across the stack with a product mindset.
• Track record shipping and scaling B2B SaaS products.
• Experience mentoring engineers and establishing durable engineering practices.
• Clear communication in English to explain trade-offs to stakeholders.

Responsibilities

• Define architectural direction and drive technical trade-offs for high-throughput backends and AI features.
• Write production code, unblock the team, own complex problems end to end.
• Define engineering standards for code quality, testing, observability, and reliability.
• Mentor engineers and help the team grow as we scale in the market.
• Partner with Product and Design to shape roadmap and balance speed with quality.
• Anticipate scalability challenges and prepare the platform for growth.

Skills

Leadership experience

Backend development

System design

APIs and integrations

English communication

Job description

Enginy is building the AI-native GTM platform in Barcelona. We’re seeking a Tech Lead to ship high-impact software, shape architecture and foster a high-performing, AI‑native engineering team.

You’ll own end-to-end delivery, mentor engineers, collaborate with Product and Design, and push the boundaries of AI-powered features while ensuring reliability and scalability as the company scales.