VP of Engineering

theMednet

New York (NY)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

theMednet is seeking a VP of Engineering in New York to lead a 7-engineer team. You will own the technical roadmap, mentor engineers, and partner with senior leadership to scale our platform.

You will balance hands-on coding with leadership, build scalable processes, and drive AI-powered, retrieval-focused product direction in a fast-paced startup environment.

Qualifications

  • 4+ years managing engineering teams and scaling processes.
  • Hands-on technical leadership with remaining close to the work.
  • Experience building web and mobile products.
  • Proficiency with AI tools and development practices to boost velocity.
  • Strong foundation in RAG systems, search, and information retrieval.

Responsibilities

  • Manage and develop a team of 7 engineers who report directly to you.
  • Establish and own processes to support a high-performing team, including performance reviews.
  • Serve as a key member of senior leadership and set the technical direction of the org.
  • Own the technical roadmap for the platform.
  • Collaborate with cross-functional partners to evolve the platform.
  • Participate in senior leadership affairs and set the technical direction of the organization.
  • Proven track record implementing and owning engineering QA standards and practices across a team.

Skills

Engineering leadership
Web and mobile products
AI tooling & velocity
RAG systems & IR

Job description

ABOUT US

Mednet is a free, physician-only community built to answer the complex clinical questions that define everyday practice. While most clinical support tools retrieve and summarize the same widely-available resources, Mednet surfaces the judgment, experience, and pattern recognition of leading experts. Our goal is simple: to give every physician access to the collective wisdom of medicine, no matter where they practice.

JOB DESCRIPTION

We're looking for a VP of Engineering to lead our engineering team. In this role, you will have the opportunity to set the technical direction of the org, drive execution, and provide hands-on mentorship, guidance, and upskilling to a team of 7 direct reports.

You'll play a central role in owning the technical roadmap, building the management infrastructure that keeps the team performing at a high level, and serving as a key voice in senior leadership. You'll also collaborate closely with cross-functional partners to drive the continued evolution of our platform.

This role is ideal for a hands-on leader who thrives in fast-paced environments, leads with both technical depth and people instincts, and is as comfortable mentoring engineers as they are staying close to the work.

RESPONSIBILITIES
  • Manage and develop a team of 7 engineers who will report directly to you
  • Establish and own the processes that support a high-performing team, from progress tracking and performance reviews to day-to-day people management
  • Serve as a key member of senior leadership and set the technical direction of the org
  • Own the technical roadmap
  • Collaborate closely with cross-functional partners to drive the continued evolution of our platform
  • Participate in senior leadership affairs and set the technical direction of the organization
  • Proven track record implementing and owning engineering QA standards and practices across a team
REQUIREMENTS
  • 4+ years of engineering management experience and building the structure and processes to scale them
  • Hands-on technical leader who has stayed close to the work
  • Experience building web and mobile products
  • Proficiency with leveraging AI tools and development practices to increase engineering velocity
  • Strong foundation in RAG systems, search, and information retrieval systems
NICE TO HAVE
  • Start up experience
  • Experience with interactive content platforms
  • Background in product engineering and retrieval/ranking systems
  • Experience implementing PLG motions through engineering and personalization
  • Experience with personalization and ML/AI-driven recommendation or targeting systems
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