About the role

Role Overview

As an Engineering Manager at Point, you will lead two engineering teams focused on AI-driven workflow optimization and automation. You will set and execute technical strategy, mentor engineers, and partner with cross-functional teams to deliver scalable automation that improves operational efficiency and business outcomes.

Responsibilities

Lead and mentor two engineering teams delivering AI-driven workflow automation.
Define and execute technical strategy for workflow optimization to ensure scalable, reliable automation.
Partner with Product, Data Science, and Operations to identify and implement AI-powered improvements.
Ensure high-quality execution balancing speed, technical excellence, and business impact.
Scale and optimize engineering processes, promoting best practices in automation, observability, and system reliability.
Build a strong engineering culture focused on ownership, continuous learning, and innovation.
Track and measure impact using data-driven approaches to evaluate automation effectiveness.
Hire and develop talent to keep teams high-performing and aligned with company goals.

Requirements

5+ years software engineering experience, including 3+ years in engineering management leading multiple teams.
Experience scaling teams and delivering high-impact projects with measurable business outcomes.
Proven cross-functional collaboration with Product, Data Science, and Operations.
Deep technical acumen in backend systems, AI/ML applications, or workflow orchestration (coding experience a plus but not required).
BS/MS in Computer Science/Engineering or related field (or equivalent experience).

Nice-to-haves

Hands-on coding experience (explicitly noted as a plus).

About Point

Point is a home equity and homeownership fintech company focused on making homeownership more valuable and accessible. Backed by major investors, Point serves tens of thousands of homeowners with AI-enabled workflows that help unlock financial flexibility and improve operational efficiency.