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Most engineering leadership roles ask you to trade the craft for the title. This one doesn’t. We’re hiring engineering managers who run organizations of 30+ and still know what their strongest engineers are working on this week. You’ll think end-to-end about the business, lead a workforce of humans and AI agents that’s rewriting what an engineering org even looks like, and stay close enough to the code to drop in as a tech lead when a problem demands it.
Job Responsibility
Run the engineering organization that builds Lovable - humans and agents both - and stay close enough to the work to be the senior engineer in the room when it matters
Lead engineering. Product, platform, and applied AI under one roof. Own the roadmap and the business outcomes the org is on the hook for
Set technical direction across the org: drive the design docs and architectural decisions that span teams, push back hard on weak plans (including your own), and hold a high bar for what ships
Shape engineering culture: how we ship, how we write code, how we hire, how we deploy agents. Set norms that outlast any single project
Ship fast: at Lovable the question is always "how fast can we get this to users?" You bias toward production and pull research, prototypes, and experiments into reality on the order of days and weeks, not quarters
Build the operating model for an engineering org where humans and AI agents work side by side. We’re inventing this in public, and you’ll set the patterns the rest of the company learns from
Operate as a peer to the executive team. Own outcomes that span beyond engineering, make the company's biggest calls alongside the rest of leadership, and translate them back into engineering work that matters
Requirements
15+ years of engineering experience, including 6+ years of people management at a pre-IPO startup, scale-up or frontier tech company, and at least 2 years of managing managers. Strong IC track record before management
You’ve run an engineering organization of 30+ with managers and senior engineers reporting in. You can speak concretely about how you structured the org, how you hired up to that scale, and what you’d do differently
Still hands-on at the Tech Lead level: you can pick up an unfamiliar codebase, design and ship a non-trivial change, run an incident, and review code at a high bar. You haven’t let your engineering muscle atrophy
You’ve thought hard about humans and AI agents on the same team. What humans should and shouldn’t delegate. How productivity gets measured when the unit of work is shifting. Strong opinions, lightly held
Comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. You write the doc that aligns three teams instead of waiting for someone else to
Deep technical credibility in at least one area - full-stack product (React/TypeScript + Go/Rust), platform and developer experience (Kubernetes, sandboxing, observability, CI/CD, application frameworks), or applied AI (training, evals, agent systems, model serving)
Cross-functional to your core and business-fluent: you work seamlessly across design, product, and go-to-market, and know how to bring people along with you
andable to reason end-to-end about unit economics, product strategy, GTM, and customer outcomes
Track record of building and growing teams: you’ve hired senior engineers others wanted to work with, grown managers under you who became great in their own right, and set up career growth and performance practices that didn’t require constant maintenance. People follow you between companies
Based in Stockholm or London or ready to relocate — this is an on-site, 5-days-a-week role