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Tier-1 brand, metro location, mid-level generalist engineering manager with broad AI and full-stack requirements.
Core engineering management skills transfer across industries, while AI-first and SaaS growth/billing context adds moderate specificity.
Explicit management years, AI/prompt-engineering requirements, and technical leadership expectations increase screening strictness.
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Lead and grow a team of frontend and backend engineers on Slack's Growth engineering team to drive new feature development aimed at user growth, education, engagement, and monetisation.
Own the strategic roadmap, prioritisation, project execution, and hiring plan for the team while collaborating closely with Product, Design, Data, and Marketing.
Mentor engineers to develop technical leadership capabilities and foster psychologically safe discussions around deliveries, processes, and career growth.
4+ years of engineering management experience leading productive, high-functioning teams.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent training/work experience.
Demonstrated use of AI tools (e.g., Claude Code, GitHub Copilot) and advanced prompt engineering skills for reliable and production-ready AI integration.
Ability to make rapid decisions amid multiple conflicting constraints in a fast-growing company environment.
Experienced engineering leader comfortable discussing architecture, product decisions, and driving consistent product shipping with execution focus.
Data-driven and experimental mindset with a genuine AI-first approach to engineering and using AI tools to enhance development workflows.
Skilled at balancing strategic roadmap creation with detailed team mentorship and fostering high-performing engineering cultures.