SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Hello Heart is an AI-driven healthtech company focused on cardiac prevention. The company has built a platform that predicts and prevents cardiac events up to 10 days in advance, significantly outperforming traditional clinical models. Hello Heart serves over 80% of large U.S. health plans and hundreds of employers, with demonstrated impact: 47% reduction in inpatient hospital days and ~$1,800 annual savings per member.
You will join as a Senior AI Builder reporting to the SVP, AI & Data Science, with dotted-line alignment to an executive sponsor. Your mission is to drive AI enablement across the organization by identifying high-value manual workflows, building AI solutions, and owning technical implementation to production reliability.
Key responsibilities include:
- Partner with Tech, Product, and executive leaders to identify high-friction workflows where AI can create measurable operating leverage
- Build and ship AI agents, automations, and AI-powered workflows from discovery through adoption
- Own the full technical implementation: tool configuration, access setup, connector and API/OAuth integrations, workflow deployment, troubleshooting, and maintenance
- Work directly with non-technical executive users to build reliable workflows for preparation, synthesis, operating reviews, follow-through, and decision support
- Execute rapid discovery cycles, build quickly, test in real work, and iterate based on usage and impact
- Partner with IT, Security, and AI Ops to implement approved access and integrations, escalating only true infrastructure or policy blockers
- Create reusable technical patterns, templates, and playbooks to accelerate future builds
- Measure adoption and impact; retire workflows that do not create durable value
Requirements:
- 5+ years of experience in applied AI, product engineering, workflow automation, technical operations, or similar hands-on building role
- Strong hands-on ability with LLMs, agent design, prompt engineering, workflow automation, APIs, OAuth, integrations, and light engineering
- Experience configuring and supporting enterprise SaaS tools, permissions, connectors, and operational workflows
- Portfolio of AI agents, automations, or internal tools demonstrating real adoption and impact
- Ability to work directly with senior, non-technical leaders and translate vague requests into useful, trustworthy products
- Strong judgment about source quality, privacy, security, reliability, and when human review is required
- Comfort troubleshooting real user problems and owning technical resolution
- Bias toward shipping, measuring, iterating, and killing low-value work
