Director, AI & Machine Learning - Hello Heart

About the role:

As the Director of AI & ML you will serve as the strategic and technical anchor for our Israel based AI and Machine Learning functions reporting directly to the VP of Data & AI. You will own the delivery of the core capabilities that power our product bridging the gap between high level business strategy and production grade AI execution. This is a high impact leadership role designed for a senior technical partner who can drive cross organizational alignment across Product, Engineering and Platform teams.

We are looking for a leader who moves beyond a traditional management layer to represent the DS/AI function in leadership discussions and strategic planning while maintaining a close operating rhythm with global leadership. In this role you will ensure our AI initiatives are integrated into the heart of the product lifecycle while serving as a credible senior partner for the technical leads. You will be responsible for shaping the future of how our organization builds and scales intelligent systems that handle sensitive healthcare data with precision and scalability.

Scope & Team

This role owns two teams within the Data & AI group:

• AI Team: Builds patient-facing AI capabilities, NLP models, and clinical decision-support features.
• ML Team: Owns production ML pipelines, model monitoring, and machine learning infrastructure.

Beyond direct team management, this role carries significant cross-organizational strategic responsibility:

• Product interface: Bridge the gap between PMs and DS/AI team leads. The TLs are invested at the project level — this Director operates at the strategic level, ensuring AI/ML priorities are shaped early in the product lifecycle, not bolted on after. Be a force of change in how Product and DS/AI collaborate.
• Engineering interface: Work peer-to-peer with engineering directors on shared execution dependencies, technical architecture decisions, and resource planning. Own this relationship at the Director level rather than leaving it to individual TLs.
• Platform interface: Partner with Platform on infrastructure, data pipelines, and tooling strategy that underpins ML/AI delivery. Ensure DS/AI needs are represented in platform roadmap decisions.

Responsibilities:

• Day-to-day leadership: Set direction, unblock teams, drive execution cadence for the AI and ML teams
• Technical strategy & roadmap: Translate function-level strategic priorities into a concrete DS/AI roadmap for Israel. Own and maintain the roadmap.
• Planning cycles: Run quarterly and yearly planning — present to VP for review and approval
• Priority decisions: Make mid-quarter tradeoff calls. Escalate to VP only for strategic shifts or budget changes.
• People leadership: Hiring, performance management, career development, team culture for DS/AI teams
• Technical architecture: Serve as the senior technical voice on AI/ML design decisions and direction
• Strategic cross-org interface: Serve as the DS/AI strategic counterpart to Product leads, Engineering directors, and Platform directors. Elevate conversations from project-level coordination (which TLs handle) to strategic alignment on roadmaps, priorities, and architecture.
• Product-AI integration: Bridge the gap between PMs and DS/AI teams. Drive a shift toward AI-informed product thinking — shaping bets early, not responding to specs after the fact.

Requirements:

• 5+ years of experience as a people leader with a proven track record of managing team leads (not just ICs) in a production AI/ML environment.
• 10+ years of experience building and owning large-scale production AI/ML systems end-to-end, including deployment, monitoring, failures, and iteration cycles for B2C products
• Can operate at the executive interface layer: present to leadership, work across to engineering, influence without authority
• Deep expertise in modern AI systems (LLMs, RAG, agents, orchestration frameworks)
• Strategic thinker who translates company-level priorities into an actionable DS/AI roadmap
• Strong understanding of systems & infrastructure (Data pipelines, Model serving)
• Strong software engineering skills
• Experience in a company where AI/ML is a core product differentiator
• Track record of growing DS/ML/AI orgs and expanding its scope
• Experience building complex multi agent workflows and scalable platforms where AI is the core engine rather than a side feature.