Engineering Manager

Overview

As Engineering Manager at NewStore, you will lead a high-performing team to shape a scalable, AI-aware omnichannel POS platform. You’ll partner with Product and Design to align roadmaps with business goals, mentor engineers, and drive long‑term technical sustainability. You will experiment with process and tooling choices, delivering fast while upholding quality. This role offers ownership of architecture, team growth, and impactful tech decisions in a fast-evolving retail tech space.

Pay / Benefits

• generous PTO and R&R
• personal development budget
• remote work options
• life-friendly working hours
• employee stock options
• quarterly bonus based on company performance

Responsibilities

• Lead delivery, health and production stability for one engineering team, ensuring accountable results
• Own architecture within your domain and align interfaces with the target architecture
• Drive fast, high-quality hiring up to staff level and mentor Senior Engineers
• Redesign team processes and tooling, including AI-enabled approaches, while measuring outcomes
• Collaborate with Product and Design to align the roadmap with company objectives
• Promote engineering excellence: TDD, contract and end-to-end testing, and continuous delivery
• Enhance platform reliability and security, maintaining high availability for mission-critical systems
• Measure system health and ownership costs, reinvesting where AI improves outcomes
• Foster a safe, data-driven culture that empowers experimentation and responsible AI usage

Key requirements

• 8+ years of software development experience
• 3+ years in engineering management
• Strong background in modern software development practices, cloud platforms (AWS preferred), and distributed systems
• Experience hiring and coaching engineers, including up to Staff level
• Senior engineer leadership experience and ability to set direction for Senior Engineers
• Knowledge of Agile/XP, TDD, and CD; understanding AI-assisted development’s impact
• Technical depth with ability to read and explain shipped code and map it to strategy
• Experience with stakeholder management across product, design, and business
• Experience leading teams through AI tooling adoption and measuring impact
• Coaching ability to create self-managed teams with clear guardrails
• This is a bonus: experience managing a Staff Engineer

• leadership and mentorship
• direct, honest feedback
• data-driven decision making
• AWS
• distributed systems architecture
• AI tooling integration and impacts on throughput/quality

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