What are the responsibilities and job description for the VP of Engineering position at Nimblemind.ai?
Role Overview
We are seeking a mission-driven and hands-on VP of Engineering to lead the development of our software platform. This is a foundational leadership role responsible for building and scaling our engineering team and delivering a world-class product that addresses healthcare providers' most pressing challenges. Reporting directly to the CEO, the VP of Engineering will collaborate closely with the AI, product, and business teams to ensure Nimblemind.ai delivers on its transformative promise.
Key Responsibilities
Hands-On Product Development
- Take a lead contributor role in designing, building, and deploying core components of the Nimblemind.ai platform.
- Build, iterate, and deliver product iterations rapidly.
- Design technical frameworks and infrastructure for long-term growth.
Technical Leadership
- Define and execute the technical vision, architecture, and roadmap for the Nimblemind.ai platform.
- Partner with the AI team to integrate state-of-the-art ML workflows..
- Ensure technical decisions align with business needs and long-term scalability.
- Manage timelines and resources effectively to deliver on schedule and budget.
Team Building and Culture
- Recruit, mentor, and manage a high-performing engineering team.
- Establish engineering best practices, ensuring high-quality code, documentation, and systems.
- Foster a collaborative and innovative team culture that aligns with Nimblemind's mission.
Operational Excellence
- Optimize system reliability, performance, and cost efficiency.
- Implement processes and tools that scale with the platform and team.
- Establish and monitor engineering metrics to ensure alignment with business goals.
Customer-Centric Development
- Work closely with customers and partners to ensure the platform maintains PMF.
- Build secure, compliant, and high-trust systems to meet the unique needs of healthcare providers.
- Advocate for and build ethical AI practices. Ensure our AI solutions prioritize patient privacy and data security standards.
Preferred Qualifications
- 10 years of experience in software engineering, with 5 years in leadership roles.
- Proven ability to design, build, and manage large-scale, cloud-based systems with high reliability, performance, and cost efficiency.
- Expertise in developing scalable SaaS platforms; experience in regulated industries like healthcare is preferred.
- Deep knowledge of data engineering, integration, and system design principles.
- Familiarity with healthcare interoperability standards (e.g., HL7, FHIR) and data security regulations (e.g., HIPAA, GDPR).
- Demonstrated success in early-stage environments, with a willingness to get hands on and to contribute as an IC.
- Strong communication and leadership skills, with the ability to inspire and influence across functions.
- Passion for transforming healthcare through technology and AI.
Why Join Nimblemind.ai?
- Be part of a mission-driven company shaping the future of healthcare.
- Lead the development and design of groundbreaking products.
- Collaborate with a world-class team of healthcare and technology innovators.
- Competitive compensation package, including equity in a fast-growing startup.