Deliberate AI | Hybrid (NYC or Boston) | Full-Time

About Deliberate AI

We're a venture-backed company at the frontier of precision mental health. In partnerships with some of the world's top ranked medical schools and psychiatric hospitals, we've secured non-dilutive funding from the NIH, ARPA-H, DARPA, the FDA and the Wellcome Trust. We're deploying multimodal AI systems in clinical trials and healthcare settings across four continents — and we're hiring the engineering team to build what comes next.

About the Role

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

Required Qualifications

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

Preferred Qualifications

• Healthcare or life sciences experience — HIPAA-compliant systems, clinical trial software, medical device software (SaMD), or regulated health tech products
• Experience with ML/AI product engineering — not necessarily training models, but building the infrastructure and integrations that put models into production
• Background in mobile application development or IoT/wearable data systems
• Experience managing engineering in a hybrid team across time zones

Key Competencies

• Technical Credibility: You can engage your Lead Engineers on architecture, review system designs, and push back when something isn't right — without micromanaging the implementation
• Organizational Design: You think clearly about team structure, reporting lines, and how to carve scope as the team grows. You've navigated the transition from “everyone talks to everyone” to “teams with clear ownership”
• Delivery Focus: You have a bias toward shipping. You know how to break large programs of work into milestones, surface risks early, and keep the team moving without burning people out
• Recruiting Judgment: You've hired strong engineers and strong leads. You know what good looks like and you're willing to wait for it
• Clinical Empathy: You take seriously that the systems your team builds touch patient care. Reliability, data integrity, and privacy are non-negotiable engineering requirements, not compliance checkboxes

Compensation & Benefits

• Base Salary: $180,000 - $260,000 (commensurate with experience, qualifications, and location)
• 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

Our Values

• Forge a New Standard of Care — We're not here for incremental. We're here for 10x.
• Strong Opinions, Open Hands — We speak up because ideas matter more than titles, and we listen because we might be wrong.
• Bring the Whole Room — The best solutions emerge when the room doesn't think alike.
• Move Before the Map Is Complete — We ship under uncertainty, course-correct fast, and follow through to the finish.
• Sharpen Relentlessly — We seek the steepest learning curves and protect focus because sharp people do sharper work.
• Guard the Patient's Trust — If we wouldn't trust it with our own care, we don't ship it.

Location: This is a hybrid role. We work in-person roughly 50% of the time in NYC or Boston — this is how we build culture and solve hard problems together as an early, fast-growing team. Candidates should be based in or willing to relocate to one of these cities.

Work authorization: Candidates must be authorized to work in the United States. We welcome applicants who hold US citizenship, permanent residency, or existing work authorization including H-1B (transfer-eligible), OPT/STEM OPT, or TN visa (Canadian and Mexican citizens). If you already hold an H-1B, we will sponsor your green card if desired but we are not currently able to sponsor new H-1B petitions.

Deliberate AI evaluates candidates based on merit, qualifications, and the skills needed to succeed in the role.