Senior Engineering Manager, Product

brightwheel

1d•$194,000 - $263,000•Remote

About The Position

Brightwheel is seeking a Senior Engineering Manager, Product to lead a full-stack engineering team focused on building customer-facing products. This role involves translating company goals into execution plans, setting engineering strategy for quality and reliability, and shipping AI-powered products. The manager will be responsible for hiring and developing engineers, partnering with Product and Design, and owning product and platform health across web, mobile, and backend systems. The ideal candidate will have experience leading teams to deliver measurable results, technical depth, and a proven ability to ship AI-powered products.

Requirements

Led an engineering team that delivered measurable customer or business results.
Have the technical depth to challenge architecture, product, data, reliability, and operational decisions without taking the work away from the team.
Have set engineering strategy and made explicit investment and prioritization choices.
Have shipped an AI-powered product or workflow to production and can explain the measurable result.
Have hired and developed strong engineers, built succession, and handled performance issues directly.
Have built trusted partnerships across Product, Design, and business teams while representing a clear Engineering point of view.

Nice To Haves

Experience in vertical SaaS, education, fintech, healthcare, CRM, ecommerce, or another operations-heavy domain.
Led a material change in product direction, architecture, or operating model.
Built production AI products, agents, evaluation systems, or automation.
Experience building customer-facing products with measurable adoption or outcome impact.
Experience using customer feedback and production data to improve web, mobile, or backend product outcomes.

Responsibilities

Lead a full-stack engineering team from problem definition through production, measurement, and iteration.
Translate company goals into clear outcomes, investment choices, and a credible execution plan.
Set the engineering strategy for quality, reliability, security, privacy, and operational health.
Ship AI-powered products and change how the team works with AI—not just add AI features.
Hire and develop strong engineers, set a clear bar, and act when the team or an individual is below it.
Make capacity, dependencies, forecasts, and risks visible early.
Partner early with Product, Design, and customer-facing teams to turn customer problems into shipped product with measurable adoption and impact.
Own product and platform health across web, mobile, and backend systems, including rollout, reliability, privacy, and support impact.
Use customer behavior, operational signals, and production data to decide what to build, simplify, or stop.