Director, Application Development - Mobile and GenAI

Bright Horizons•Newton, MA

69d•$149,000 - $206,000•Hybrid

About The Position

The Director of Application Development for Mobile and GenAI leads the strategy, architecture, and delivery of mobile applications and GenAI-powered capabilities. This role partners closely with Product, Design, Data, Security, and Operations to build reliable, scalable, and user‑centric experiences. This is a hybrid role that requires onsite work at our Newton, MA office 3 days a week. Bright Horizons is a leading education and care company that helps employees thrive at work and at home by partnering with employers to offer high-quality child care, elder care, and educational support. Our workplace reflects this commitment—with collaborative environments, meaningful benefits, and a culture that supports both career growth and personal well-being. Whether you’re caring for children or powering the systems and partnerships that make it all possible, at Bright Horizons, you’re the difference.

Requirements

Bachelor’s Degree or higher in Engineering, Technology or related field
7+ years technical engineering experience with coding in languages including, but not limited to JavaScript/TypeScript based framework, and Python OR equivalent experience
5+ years’ experience and skills in building cloud-based SaaS applications.
5+ years’ experience and skills in building mobile development and technology (Angular, Ionic, React Native, Flutter and native IOS/Android or similar)
5+ years’ experience and skills in leading an engineering native organization
2+ years delivering AI and GenAI applications, including model integration, evaluation, RAG, and deployment.
Proven track record delivering mobile or AI‑powered products at scale.
Familiarity with modern LLM providers and tooling (Azure OpenAI, Anthropic, Google Gemini, LangSmith, vector databases).

Nice To Haves

Experience with reliability engineering, automated testing, CI/CD, APM/observability, and performance optimization.
Experience working with security, privacy, and AI governance requirements.
Strong verbal and written communication; able to communicate complex topics to both technical and non‑technical audiences.
Demonstrated success in architectural modernization efforts.

Responsibilities

Mobile and Gen AI Engineering Lead end‑to‑end development and delivery of mobile and AI/GenAI applications using modern engineering practices.
Define mobile and GenAI architecture, including modularization, release processes, CI/CD, observability, and platform strategy.
Drive AI/GenAI feature development; select models, build pipelines, design evaluation frameworks, optimize latency, and ensure responsible AI usage.
Guide teams through technical decisions; remove blockers; promote best‑in‑class engineering practices.
Establish engineering KPIs, quality standards and drive continuous improvement.
Own Cloud and AI‑inference cost governance and resource allocation.
Manage staffing strategy and talent development for mobile and GenAI engineering teams.
Maintain clear technical documentation and progress reporting for leadership.
Translate product strategy into engineering roadmaps, sequencing, and technical trade‑offs.
Partner with PMs on KPI creation, prioritization, and customer‑centric decisions.
Work cross‑functionally with design, support, research, operations, and marketing.
Communicate engineering impacts in clear, business-aligned language.
Lead, mentor, and grow engineers, senior ICs, and engineering managers.
Build a high‑performing culture centered on accountability, collaboration, and modern engineering excellence.
Recognize contributions; develop succession plans; guide career development.
Influence engineering strategy across the team including architecture, security, data, and cloud teams.
Present technical strategy and program updates to executive leadership.
Drive enterprise‑level modernization initiatives (mobile platform upgrades, AI adoption, cloud modernization).
Exercise independent judgment in technical strategy, staffing, architectural choices, and delivery commitments.
Manage risk, compliance, privacy, and AI governance considerations in decision making.