VP of Engineering

Deliberate Solutions, Inc. • New York, NY

136d • $180,000 - $260,000 • Hybrid

About The Position

Deliberate AI is seeking a VP of Engineering to lead their engineering organization through a pivotal growth phase, transitioning from an early-stage team to a production-grade platform serving projects globally. The role involves managing a diverse team of engineers across various specializations, establishing engineering culture, delivery cadence, and technical standards to ensure reliable shipping under clinical and regulatory pressures. This position requires both hands-on technical expertise and organizational leadership to build and retain a high-performing team. The VP will make significant architectural decisions, particularly at system intersections, but their primary impact will be in building a strong engineering organization through strategic hiring, obstacle removal, process definition, and fostering a culture aligned with company values. The role emphasizes the effective use of AI-assisted development tools to enhance productivity while maintaining the reliability required for clinical software.

Requirements

• 10+ years of software engineering experience.
• 4+ years leading engineering teams (managing managers or tech leads).
• Proven track record building and scaling engineering teams from 2-5 to 20+ engineers in a high-growth environment.
• Strong technical foundation across full-stack development, cloud infrastructure, and data systems.
• Experience with cloud-native architectures (GCP / AWS), including containerization (Docker, Kubernetes), CI/CD, and infrastructure-as-code.
• Demonstrated ability to establish engineering processes (planning, delivery, incident response, on-call) without over-bureaucratizing a small team.
• Experience shipping production systems under regulatory or compliance constraints (HIPAA, SOC 2, ISO 27001, or similar).
• Strong hiring and talent development skills, including building interview processes and coaching engineers.
• Proficiency with agentic programming tools and AI-assisted development workflows.
• Excellent communication skills, able to translate engineering status and tradeoffs for non-technical stakeholders.
• Bachelor's degree in Computer Science, Engineering, or related field.

Nice To Haves

• Healthcare or life sciences experience (HIPAA-compliant systems, clinical trial software, medical device software, regulated health tech products).
• Experience with ML/AI product engineering (building infrastructure and integrations for production models).
• Background in mobile application development or IoT/wearable data systems.
• Experience managing engineering in a hybrid team across time zones.
• Familiarity with clinical trial operations, research protocols, or GCP.
• Experience with government-funded R&D (NIH, ARPA-H, DoD, NSF).
• Understanding of audio/video processing pipelines, NLP, or affective computing at an architectural level.
• Publications, conference presentations, or meaningful open-source contributions.
• MBA, MS, or PhD in Computer Science, Engineering, or related field.

Responsibilities

• Own engineering delivery across all product lines, including conversational GenAI assessment agents, passive sensing applications, clinician-facing monitoring dashboards, adaptive intervention systems, and underlying data/infrastructure layers.
• Directly manage Lead Engineers (Full Stack, Audio-Visual Data, Wearables/Mobile Data, Platform) and technical advisors/contractors, fostering a culture of technical excellence, psychological safety, and high accountability.
• Lead engineering recruiting in partnership with the CEO, defining roles, managing interview processes, calibrating offers, and designing onboarding to grow the team to 10+ engineers within 18 months.
• Establish engineering planning processes (sprint cadence, milestone tracking, release management) aligned with project timelines, ensuring on-time delivery or proactive planning for delays.
• Partner with Lead Engineers on cross-cutting architectural decisions, including service boundaries, shared infrastructure, deployment strategy (cloud, on-prem), data architecture, and security posture.
• Guide the modernization of infrastructure, backend, frontend, mobile, and data pipelines from legacy platforms to production-grade clinical deployment infrastructure.
• Ensure engineering supports multi-site, multi-continent deployments with the necessary reliability, monitoring, and incident response for clinical work.
• Direct Security, Privacy, and Quality Officers to maintain HIPAA and GDPR compliance, implement security best practices, and ensure engineering processes meet regulatory requirements (21 CFR Part 11, GCP, etc.).
• Collaborate with Product Leads on roadmap prioritization, the CEO on strategy and resourcing, and research scientists on ML integration and validation.
• Foster an environment of agentic programming, continuous learning, direct feedback, and technical craftsmanship, balancing engineering focus with responsiveness to clinical and business needs.

Benefits

• Base Salary: $180,000 - $260,000
• Equity/stock options with milestone-based vesting
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Flexible PTO policy
• Professional development budget for conferences and training
• Authorship opportunities on publications describing platform and engineering innovations
• Conference speaking opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Executive