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Pebl is seeking a hands-on Engineering Manager to lead a high-impact team within the Growth organization. This is a critical leadership role for someone who combines seasoned management experience with active participation in AI-augmented development.
You will lead a high-performing team focused on driving user acquisition, activation, or retention initiatives for customer-facing products. The role requires building scalable, reliable, and extensible systems using React, TypeScript, and AWS, while driving the company's shift toward "AI-native" engineering by standardizing tools like Claude Code to maximize team velocity and code quality.
Key responsibilities include:
- Leading technical strategy for your team within the Growth organization, actively participating in the development lifecycle and coding alongside your team
- Championing an "AI-first" engineering culture, integrating Claude Code and other LLM tools into daily workflows to accelerate experimentation and product velocity
- Partnering with product management and data teams to define the technical roadmap for acquisition and retention goals
- Recruiting, mentoring, and growing high-potential engineers, balancing human-led mentorship with AI-augmented professional development
- Maintaining high observability and stability standards, ensuring experiments and product features meet rigorous quality benchmarks
- Fostering a collaborative in-person environment in the Palo Alto office (Mon-Wed on-site requirement) to build team cohesion and drive cross-functional problem solving
Requirements:
- 3+ years of formal experience in engineering management leading a team of engineers
- Proven expertise in full-stack development, specifically React, TypeScript, and AWS (e.g., Lambda, ECS, RDS)
- Demonstrated ability to leverage LLM-integrated agents (specifically Claude Code) to improve software development lifecycle speed and code quality
- Proven track record of delivering customer-facing SaaS products with a focus on metrics-driven growth, conversion, and user experience
- Strong communication skills; ability to distill complex technical and AI-related trade-offs into actionable plans for leadership and cross-functional partners
