Director of Engineering

Director of EngineeringLocation:

Hybrid, onsite 2-3 days a week. Can be based out of either of our office locations:

Saddle Brook, NJLakewood, NJPosition OverviewWe are seeking a Director of Engineering to lead and scale an ambitious engineering organization focused on building innovative AI-enabled products from 0 to 1. The role bridges technical leadership, product development, and people management: you will define technical strategy, deliver high-quality MVPs, establish scalable engineering practices, and mentor teams to ship impactful solutions. The ideal candidate has deep experience building AI products, a proven track record of taking concepts from prototype to production, and the ability to partner closely with product and executive leadership. Healthcare domain experience and software start-up background are strong pluses.

Key ResponsibilitiesOwn technical vision and strategy for engineering, aligning roadmaps with product and company goals.

Lead development of AI-enabled 0to1 products: drive discovery, rapid prototyping, MVP definition, and productionization.

Design and oversee scalable architecture and infrastructure for ML and data systems, including MLOps, model deployment, monitoring, and data pipelines.

Recruit, mentor, and retain high-performing engineering teams; build effective organizational structure and career development paths.

Collaborate with product management, design, and research to prioritize features, define success metrics, and iterate quickly based on user feedback.

Establish engineering best practices: code quality, testing, CI/CD, observability, incident response, and security/compliance.

Manage delivery and execution: set clear goals, remove blockers, track progress, and ensure reliable releases.

Partner with leadership on hiring plans, budgeting, and timeline commitments; support fundraising and investor technical diligence as needed.

Drive cross-functional alignment with legal, compliance, and customer successespecially where domain-specific considerations (e.g., healthcare data privacy) apply.

Foster an inclusive, high-performance culture that emphasizes ownership, experimentation, and continuous learning.

Qualifications10+ years of software engineering experience with 5+ years in engineering leadership roles (managing multiple teams or a department). You will oversee a team of about 25.Proven track record shipping AI/ML products to production, including experience with model development lifecycle, MLOps, and data engineering.

Demonstrated experience in 0-to-1 product development: taking ideas from exploration and prototypes through to scalable MVPs and production rollout.

Strong technical foundation in software architecture, distributed systems, cloud platforms (AWS, GCP, or Azure), APIs, and telemetry/observability.

Experience hiring, coaching, and scaling engineering teams; strong people management and organizational design skills.

Excellent cross-functional communication and stakeholder management; able to translate technical tradeoffs to non-technical audiences and influence strategic decisions.

Comfortable operating in fast-moving environments; experience at a software start-up and/or in ambiguous, early-stage contexts is highly desirable.

Knowledge of healthcare domain, regulatory requirements (e.g., HIPAA), or experience building products for clinical or health systems is a plus.

BS/MS in Computer Science, Engineering, or related fieldadvanced degree or equivalent practical experience preferred.