VP of Engineering

VP Of Engineering

Deliberate AI is seeking a VP of Engineering to lead our engineering organization through a pivotal growth phase — from early-stage team to a production-grade platform serving projects across four continents. You'll manage a team of engineers across full-stack, audio-visual data, wearable/mobile sensing, and platform infrastructure, setting the engineering culture, delivery cadence, and technical standards that allow the company to ship reliably under the pressure of clinical milestones and regulatory requirements.

This role combines hands-on technical credibility with the organizational judgment to build and retain a world-class team. This is not a "people manager who used to code" role. You'll make meaningful architectural decisions, especially at the boundaries where systems intersect — platform infrastructure, data pipelines, ML integration, and clinical deployment. But your primary impact will be in building an engineering organization that delivers: hiring the right people, removing obstacles, defining how teams plan and ship, and ensuring that the engineering culture reflects our values.

We believe a small, sharp engineering team with aggressive use of agentic coding tools — Claude Code, Codex, Cursor, and whatever comes next — can outperform organizations five times our size. You'll be the leader who makes that real: setting the norms for how AI-assisted development works at Deliberate, measuring where it accelerates us, and ensuring it doesn't compromise the reliability bar that clinical software requires.

Key Responsibilities

• Engineering Leadership:
  Own engineering delivery across all product lines — conversational GenAI assessment agents, passive sensing applications, clinician-facing monitoring dashboards, adaptive intervention systems, and the underlying data and infrastructure layers
• Team Management:
  Directly manage Lead Engineers (Full Stack, Audio-Visual Data, Wearables/Mobile Data, Platform) and technical advisors or contractors. Build a culture of technical excellence, psychological safety, and high accountability
• Hiring & Retention:
  Lead engineering recruiting in partnership with the CEO — define roles, run interview processes, calibrate offers, and design onboarding. Build the team from its current size to 10+ engineers over the next 18 months
• Delivery & Execution:
  Establish engineering planning processes (sprint cadence, milestone tracking, release management) that align with project timelines. You own the question of "will we ship on time, and if not, what's the plan?"
• Architecture & Technical Direction:
  Partner with Lead Engineers to make cross-cutting architectural decisions — service boundaries, shared infrastructure, deployment strategy (cloud, on-prem for clinical sites), data architecture, and security posture
• Platform Strategy:
  Guide modernization (infrastructure, backend, frontend, mobile, data pipelines) from legacy platform to production-grade clinical deployment infrastructure
• Clinical Deployment:
  Work with the clinical operations to ensure engineering supports multi-site, multi-continent deployments with the reliability, monitoring, and incident response that clinical work demands
• Security & Compliance:
  Direct the Security, Privacy and Quality Officers to maintain HIPAA and GDPR compliance, implement security best practices, and ensure engineering processes meet 21 CFR Part 11, GCP, and other regulatory requirements
• Cross-functional Partnership:
  Collaborate closely with the Product Leads on roadmap prioritization, with the CEO on strategy and resourcing, and with research scientists on ML integration and validation
• Engineering Culture:
  Foster an environment of agentic programming, continuous learning, direct feedback, and deep technical craftsmanship. Protect engineering focus while maintaining responsiveness to clinical and business needs

Required Qualifications

• 10+ years of software engineering experience, with 4+ years leading engineering teams (managing managers or tech leads, not just ICs)
• 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…