Engineering Manager (AI)

Location: Remote; must reside and have the legal right to work in the United Kingdom, Latvia, or Spain. Full-time position; B2B and contractor arrangements are not accepted.

Company

AI-powered localization platform helping businesses manage software and marketing content, translation workflows, terminology, and collaboration across languages and channels.

What you will do

• Lead, coach, develop, hire, and evaluate Software Engineers; support career growth and compensation planning.
• Stay technically involved through design and pull request reviews, pairing, architecture decisions, prototypes, tooling, and small fixes.
• Partner with Product Managers and Designers on customer discovery, product strategy, prioritization, and outcome-focused delivery.
• Own delivery flow from planning through release, using engineering and quality signals to remove bottlenecks and manage cognitive load.
• Lead AI-native engineering adoption across the software development lifecycle, measuring effects on speed, quality, reliability, maintainability, and engineer experience.
• Drive operational excellence, service health, incident response, quarterly planning, roadmap delivery, and department-wide strategy.

Requirements

• 3+ years of recent experience as an Engineering Manager leading software engineering teams, ideally in SaaS product companies.
• Strong software engineering background with current hands-on capability in code and design review, technical investigation, and architecture decisions.
• Experience hiring, onboarding, coaching, managing performance, and helping engineers progress into their next role.
• Product engineering mindset, including partnership with Product and Design, customer discovery, and measuring customer and business outcomes rather than output.
• Business acumen and ability to communicate technical trade-offs in terms of commercial impact with stakeholders at all levels.
• Experience using engineering metrics and flow practices such as DORA metrics, cycle time, or WIP limits to improve delivery, quality, and team health without turning metrics into targets.
• Hands-on experience with AI-assisted development and agentic tools personally and across a team, including understanding their effect on delivery speed, code quality, review practices, and cognitive load.
• Experience planning and delivering complex initiatives across several teams, including dependency, risk, and incident management.

Nice to have

• Experience in localization or translation workflows.
• Experience leading engineering teams at a product company during a scale-up phase.
• Experience shipping AI-powered, including LLM-based, product features to customers.
• Experience managing fully remote, distributed teams.
• Familiarity with developer experience or productivity frameworks such as SPACE or DevEx.

Culture & Benefits

• Fully remote setup with flexible working hours and regular retreats and social events.
• Competitive salary, employee stock options, and health insurance.
• Co-working, home office setup, learning and development, and wellness budgets.
• Flexible vacation policy and a remote, close-knit startup culture.
• Inclusive and equal-opportunity workplace welcoming people across identities, backgrounds, beliefs, ages, and disability statuses.