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Senior Product Manager, Growth - RAD AI

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Job Title
Senior Product Manager, Growth
Job Location
United States
Job Description

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. 

Why Join Us:

As a Senior Product Manager leading our Scale team specializing in AI & Platform Integration, you will leverage your extensive experience in AI technologies and platform management to drive the development and scaling of our radiology reporting solutions. Your leadership will guide the development of AI-driven features, the optimization of our platform infrastructure, and the integration of third-party systems. If you're passionate about innovative AI solutions and enjoy working with cross-functional teams, this role is perfect for you.

What You’ll Be Doing:

  • AI Feature Development: Collaborate closely with the Lead Product Manager in Reporting to develop and refine core features that leverage AI and large language models (LLMs), shaping the future of radiology reporting.

  • Scaling Applications: Lead initiatives to scale the Rad AI Reporting application by partnering with Scale Team engineers to develop innovative tools and features that enhance deployment cycles across customer environments.

  • Admin Console Development: Design and implement advanced features within the admin console, enabling customer site administrators to efficiently provision and manage their own tenants.

  • Support Portal Enhancement: Work with engineering and support teams to create and refine tools that streamline the customer journey, focusing on customer implementations and post-go-live tooling to ensure a seamless user experience.

  • Third-Party Integrations: Explore FHIR/FHIRcast technologies and integrate with external vendors such as PACS, Worklist, EHR, and RIS systems for data synchronization and improved deployment cycles.

  • Data-Driven Decision Making: Utilize data analytics to identify gaps, growth opportunities, and strategies to drive successful deployments and scalability of the Reporting application.

  • Cross-Functional Collaboration: Foster strong collaboration with adjacent teams, including Reporting Core, Reporting SDK, Data, Model, and Support Teams, ensuring alignment of objectives.

  • Strategic Alignment: Ensure product development aligns with the company’s strategic goals and objectives, driving long-term success and innovation in radiology.

  • Leadership Communication: Communicate effectively across all organizational levels, from individual contributors to executive leadership, ensuring transparency and alignment in project goals.

  • Presentations & Town Halls:: Present concepts, strategies, and updates in town halls and company-wide meetings, engaging stakeholders and providing clear insights into product developments.

  • Mentorship & Knowledge Sharing: Mentor and guide junior product managers, fostering a culture of continuous learning and development within the product management organization.

  • Regulatory & Compliance Oversight: Ensure all product features and tools adhere to industry regulations and compliance standards, maintaining the highest quality and safety standards.

Who We’re Looking For:

  • Experience: 6+ years of experience in product management, including experience managing platform infrastructure at scale.

  • Technical Skills: Proficiency with AI technologies and cloud platforms (e.g., AWS, Google Cloud). Experience with FHIR/FHIRcast technologies and third-party integrations.

  • Product Management: Thorough understanding of platform service development, microservices-based architecture, and RESTful API design.

  • Analytical Skills: Strong data-driven approach with experience in using analytics to drive product decisions and improvements.

  • Communication: Excellent verbal and written communication skills, with the ability to clearly articulate complex technical concepts.

  • Leadership: Proven track record of leading cross-functional teams and mentoring junior product managers.

  • Passion: Commitment to healthcare innovation and improving patient care through advanced technology.

Nice to Haves:

  • Experience managing AI (LLM/NLP) solutions. 

  • Background in regulated environments, particularly with HIPAA compliance.

  • Familiarity with healthcare standards such as HL7 and radiology workflows.

  • Knowledge of ML or data infrastructure.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!

Rad AI offers a variety of benefits, including:

  • Comprehensive Medical, Dental, Vision & Life insurance

  • HSA (with employer match), FSA, & DCFSA 

  • 401(k)

  • 11 paid company holidays

  • Location-flexibility (remote-first company!)

  • Flexible PTO policy

  • Annual company-wide offsite

  • Periodic team offsites

  • Annual equipment stipend

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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RAD AI Headquarters Location

Santa Monica, CA

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RAD AI Company Size

Between 20 - 100 employees

RAD AI Founded Year

2018

RAD AI Total Amount Raised

$10,107,750

RAD AI Funding Rounds

View funding details
  • Series A

    $5,900,000 USD

  • Seed

    $21,750 USD

  • Seed

    $977,000 USD

  • Seed

    $1,000,000 USD

  • Pre Seed

    $977,000 USD

  • Pre Seed

    $50,000 USD

  • Pre Seed

    $150,000 USD

  • Pre Seed

    $260,000 USD

  • Pre Seed

    $500,000 USD

  • Pre Seed

    $272,000 USD