Rad AI

Senior Agent Product Manager

Rad AI • $175K — $215K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6 years of experience in consulting, implementation, or a post-sales customer role.
  • Proven ability to manage complex, multi-stakeholder deployments end to end.
  • Exceptional interpersonal skills for engaging senior clinical and executive stakeholders.
  • Capability to convert customer operational needs into technical requirements.
  • Experience with internal tools like dashboards and ticket systems, proficient in SQL or similar tools.
  • Bachelor's degree and a strong track record of building processes in ambiguous environments.
  • Bonus: Experience in healthcare or health tech, especially with AI.

Responsibilities

  • Lead multi-stakeholder customer implementations from kickoff to launch.
  • Own strategic relationships and coordinate stakeholders across various roles.
  • Collaborate with engineers to translate customer workflows into technical plans.
  • Analyze outcomes and usage data to drive product improvements.
  • Create scalable tools and processes to enhance implementation efficiency.
  • Ensure smooth handoffs between sales, customer success, product, and engineering teams.
  • Share insights within a specialty-focused pod to improve delivery in healthcare.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) plan.
  • Home-office setup reimbursement.
  • Meals covered.
  • Wellness stipends available.
  • Support for professional development.
  • Commuter benefits provided.
  • Unlimited PTO policy.
  • Dog-friendly office environment.
Full Job Description
The role / why it matters

As a Senior Agent Product Manager, you will own post-sales customer implementations from kickoff through go-live. This is an implementation leadership role, not a traditional product roadmap position: you will quarterback customer relationships, work alongside a Forward Deployed Engineer, and help healthcare organizations put AI-enabled workflows into practice.

What you'll do
• Lead complex, multi-stakeholder customer implementations across new specialties, products, and multi-site deployments.
• Own strategic customer relationships from kickoff through launch, coordinating stakeholders from office managers to senior clinical and executive leaders.
• Partner closely with a Forward Deployed Engineer to translate customer workflows into actionable technical requirements and implementation plans.
• Analyze customer outcomes and product usage, then work with product and engineering teams on improvements and measure the results.
• Build scalable processes, tools, and automation that make implementations more efficient across customer accounts.
• Coordinate with sales, customer success, product, and engineering to maintain clear handoffs and a consistent customer experience.
• Work within a specialty-focused pod and share learnings that improve delivery across healthcare use cases.

What we're looking for
• 4-6 years of experience in consulting, implementation, or a similar post-sales customer role.
• A track record of owning complex, multi-stakeholder customer deployments end to end.
• Strong customer relationship skills, including confidence with senior clinical and executive stakeholders.
• The ability to translate operational and customer needs into clear requirements for technical teams.
• Experience building or managing internal tools such as dashboards, ticket systems, or reporting infrastructure, with working proficiency in SQL, Claude Code, Retool, or comparable tools.
• A bachelor's degree and a record of building processes or systems in ambiguous environments.

Bonus points
• Experience in healthcare, health tech, or healthcare AI.
• Familiarity with EHR systems such as Epic, Athena, NextGen, or eClinicalWorks, or communication platforms such as RingCentral or Twilio.

Compensation and benefits

The base salary range is $175,000-$215,000 USD, with employee stock options and commission. Benefits include health, dental, and vision insurance; a 401(k); home-office setup reimbursement; meals; a wellness stipend; professional development support; commuter benefits; unlimited PTO; and a dog-friendly office.

Location / work model

This is a hybrid role based in either San Francisco or New York City, with four days per week on-site. Most of the team works from home on Wednesdays, though that is not a fixed schedule. Visa transfers are available for candidates already in the United States; new sponsorship from abroad is not offered. Candidates may relocate on their own, but there is no formal relocation package.

About Rad AI

Rad AI is a medical technology company that uses artificial intelligence to improve the accuracy and efficiency of radiology. The company was founded in 2019 and is based in San Francisco, California. Rad AI's technology is designed to help radiologists identify and diagnose medical conditions more quickly and accurately, which can lead to better patient outcomes. The company's team includes experts in radiology, machine learning, and software engineering.
Learn more about Rad AI
Size
10 employees
Industry
Founded
2018

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