This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Engineering based in the United States.

The Director of Engineering will lead the development of an innovative SaaS platform designed to help older adults navigate technology with greater confidence and independence. This role combines technical leadership, product strategy, and team building in a mission-driven, human-centered environment. You will shape the technical direction of the first product, leveraging emerging technologies such as AI, machine learning, augmented reality, and computer vision. Working closely with cross-functional leadership, you will translate business objectives into scalable engineering solutions and product roadmaps. You will also build and mentor a diverse engineering team while fostering a culture of curiosity, empathy, and accountability. This is an opportunity to make a meaningful social impact through accessible technology and responsible innovation.

As Director of Engineering, you will guide the technical strategy, product development, and engineering culture while collaborating closely with leadership and cross-functional teams.

• Define the technical direction and architecture of the first SaaS product in partnership with company leadership.

• Collaborate with cross-disciplinary teams to establish Objectives and Key Results (OKRs) aligned with product and business goals.

• Address complex engineering challenges involving human-centered customer support, business intelligence, computer vision, and data science.

• Co-develop technical roadmaps for both business-to-consumer (B2C) and business-to-business (B2B) offerings.

• Recruit, develop, and lead a diverse engineering team, encouraging professional growth, collaboration, and technical excellence.

• Foster a human-centered engineering culture grounded in empathy, curiosity, social responsibility, and ethical technology practices.

• Support effective collaboration between engineering and other disciplines by making technical concepts accessible to non-technical stakeholders.

• Promote continuous learning, accountability, and user-focused decision-making throughout the engineering organization.

Requirements:

The ideal candidate combines substantial engineering leadership experience with SaaS product development expertise, strong communication skills, and a commitment to building technology that serves people responsibly.

• At least 7 years of experience in engineering roles.

• At least 5 years of experience building and managing engineering teams for SaaS platforms.

• At least 2 years of experience working with customer support platforms.

• Experience designing and developing API-based SaaS system architectures.

• Knowledge of Lean and Agile dual-track sprint teams, or methodologies with comparable goals and outcomes.

• Experience with computer vision technologies.

• Familiarity with front-end frameworks and their dependencies and interactions with backend architectures.

• Strong people skills, with a genuine interest in coaching, mentoring, and developing team members.

• Excellent communication skills and the ability to translate technical concepts for stakeholders outside engineering.

• An active interest in ethical technology theory and practice, including responsible technology policies and implementation.

• A leadership approach rooted in curiosity, empathy, servant leadership, social responsibility, and understanding users’ needs.

• Eligibility to work in the United States.

• Ideally based in New York City or located remotely within US time zones.

Benefits:

• Remote work opportunity within the United States, with a preference for candidates based in New York City or US time zones.

• Contract-based engagement.

• Opportunity to build and lead an engineering team while shaping the technical foundation of a new SaaS product.

• Meaningful work focused on improving older adults’ access to and confidence with technology.

• Opportunity to explore innovative applications of AI, machine learning, augmented reality, computer vision, and data science.

• A collaborative, cross-disciplinary environment that values curiosity, authenticity, integrity, empathy, and continuous learning.

• The opportunity to influence engineering culture and contribute to responsible, human-centered technology practices.