Top Tech Jobs & Startup Jobs

Leads and scales the account management function for enterprise health plan customers. Manages Account Managers, owns team revenue and retention targets, develops account processes and playbooks, and oversees strategic accounts. Builds executive relationships, leads QBRs, manages escalations, identifies expansion opportunities, and partners with Sales, Product, Engineering, and Leadership to improve customer outcomes, retention, and revenue growth.

Owns relationships, onboarding, implementation, renewals, retention, expansion, and revenue growth for health plan customers. Leads product rollouts, quarterly business reviews, ROI optimization, volume monitoring, executive relationship management, and cross-functional customer feedback. Requires B2B account management or customer success experience, healthcare payment integrity knowledge, SaaS implementation expertise, quota performance, and strong communication and project management skills.

Drive enterprise SaaS and services sales to health insurance plans within an assigned territory. Responsibilities include prospecting, nurturing, and closing high-value opportunities; delivering customized presentations and product demonstrations; exceeding revenue targets; tracking pipelines and forecasts in HubSpot; and communicating AI platform value, ROI, and payer-market insights to health plan executives.

Alaffia’s Talent Pool invites candidates interested in future opportunities at its NYC-based healthcare AI startup. Applicants can submit their information and a cover letter describing their motivation and preferred business areas or roles. The talent team will retain profiles and proactively contact candidates when suitable positions become available. The company develops AI-powered copilots and agents to reduce healthcare administrative burden, billing waste, and costs.

Lead backend architecture and development for a GenAI framework supporting AI agents and healthcare automation. Establish Python standards, scale production applications, drive AI coding assistant adoption, and oversee testing, observability, infrastructure, and build-versus-buy decisions. Partner across engineering, product, and business teams while mentoring senior engineers and translating strategic goals into technical roadmaps. The role focuses on data-intensive systems, APIs, cloud infrastructure, and agentic workflows in a healthcare technology environment.

Partner with founders and executives to translate company goals into measurable initiatives, analyze business performance, develop growth and efficiency strategies, optimize cross-functional workflows, build automated dashboards and reporting frameworks, and drive high-impact projects from concept through completion. The role supports customer operations, go-to-market strategy, pricing, analytics, operational systems, and company scalability within a high-growth healthcare technology startup.

Build and scale React applications for healthcare claims auditing and operations workflows. Own frontend architecture, state management, component design, performance, accessibility, testing, build tooling, and CI/CD. Collaborate with backend, product, and design teams on API integration and user experiences. Resolve complex frontend issues, contribute to code reviews, and establish scalable engineering best practices. Preferred experience includes B2B SaaS, healthcare or regulated industries, design systems, data-dense applications, and AI-powered frontend features.

The Principal Software Engineer will lead architectural design, mentor engineers, influence technical strategy, and drive AI-augmented development across the platform, ensuring high-impact project delivery in healthcare technology.

As the AI Transformation Lead, you'll drive AI adoption across teams, build AI-powered workflows, and establish foundational systems and metrics for continuous improvement in operations.

Lead architecture and delivery of large, cross-team full‑stack projects; define technical standards and strategy; drive scalability, reliability, and performance; champion AI-augmented development; mentor senior engineers and influence cross-functional decisions to achieve business outcomes.