Senior Engineering Manager

Overview

• Lead a team of engineers in developing innovative B2B SaaS products using modern JavaScript/TypeScript stacks.
• Drive technical decisions and uphold engineering standards for code quality, testing, and security.
• Collaborate with cross-functional teams to translate roadmap priorities into actionable engineering tasks.
• Focus on AI adoption to enhance processes and accelerate development using LLMs and AI-driven tools.
• Manage a team of 6-12 engineers, fostering a culture of accountability and continuous learning.
• Contribute to hiring efforts, sourcing, interviewing, and onboarding top engineering talent.
• Ensure delivery of reliable, high-quality software in a fast-paced, product-led environment.
• Engage technically in architecture reviews, code feedback, and production issue resolution.

Key Responsibilities & Duties

• Lead and manage engineering teams to deliver impactful B2B software solutions.
• Plan sprints, manage scope, and remove blockers to ensure team progress.
• Collaborate with Product and Design teams to align engineering efforts with business goals.
• Set and maintain high engineering standards for quality, testing, and security.
• Drive technical decisions in partnership with senior engineers for sustainable development.
• Build a supportive and growth-oriented team culture through effective management practices.
• Collaborate across teams to ensure alignment on shared infrastructure and platform investments.
• Participate in hiring processes to attract and retain top engineering talent.

Job Requirements

• Bachelor of Science degree in a relevant field is required.
• Minimum of 8 years of software engineering experience, with 2-3 years in management roles.
• Proficiency in modern JavaScript/TypeScript stacks, including React, Next.js, and Node.js.
• Experience with agile practices, sprint planning, and cross-functional collaboration.
• Strong technical engagement skills for architecture reviews and code feedback.
• Familiarity with API-driven architectures and real-time communication platforms.
• Exposure to AI/ML integration in production environments is preferred.
• Demonstrated ability to grow and develop engineering teams effectively.