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Associate Product Manager - Documentation Quality

What we want to accomplish and why we need you

Suki provides AI-powered voice solutions for healthcare professionals. At Suki, We're reimagining the healthcare tech stack, making it invisible and assistive. We deliver incredibly fast and accurate voice experiences using the latest in natural language processing and machine learning.

Doctors use Suki Assistant for Clinical documentation, Information retrieval, Diagnosis coding, Dictating anywhere. Suki's AI delivers industry-leading accuracy and gets smarter with each interaction. Clinicians finish their notes an average of 76% faster. Suki Speech Platform allows our  cutting-edge healthcare voice technology to build voice interaction for any healthcare application.

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctor. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.

Come and join us!

What will you do everyday?

As an early member of the Suki product team, you will wear many hats. You will primarily contribute to Suki’s Clinical Documentation team, ensuring our AI-driven solutions continuously deliver best-in-class performance and user satisfaction. 

In this role, you will oversee development, launch, and drive growth and product success metrics for various ML-driven initiatives. You will write excellent product specifications and work with engineering to ship your product. You will spend time with executive stakeholders, front-line clinicians, and ML and data teams to assist them, learn from them, and improve our product. You will establish structures that will enable us to execute at the next level of scale. You will work in close collaboration with our engineering leaders and help design systems that measure, improve, and guide users in leveraging our ML-driven features effectively.

While you know how to work hard, you also know how to have fun at work, make friends with your colleagues, and contribute to our diverse and inclusive culture. You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day.

 

Ok, you're sold, but what are we looking for in the perfect candidate?

  • Self-starter: You are motivated by impossible challenges and energized by creating something new.

  • Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.

  • Discipline: You have discipline to keep current priorities visible and on a path toward success, while developing an entrepreneurial spirit across the team that encourages discussion and experimentation. You have the appropriate balance of patience and impatience.

  • Resourceful: You enjoy listening to user feedback and then building product in novel ways. You enjoy finding alternate paths to success.

  • User-centered: You are obsessed with the customer experience. You can translate key consumer needs into business and product requirements. You have an innate understanding of user behavior.

  • A Communicator: you have strong written communication skills, write great product specs the engineers love to read and are responsive.

  • Passion: You are as passionate about our mission as we are.

Responsibilities

  • Contribute to product vision, strategy, development, and execution of new ML-driven quality initiatives and features.
  • Communicate product vision, requirements and constraints for product initiatives and releases to senior management and various stakeholders.
  • Break down large projects into milestones, make trade-off decisions and get buy-in from cross-functional teams. 
  • Focus on product instrumentation and analytics and iterate based on data and user insights.
  • Collaborate with clinicians and end users to collect and triage feedback, including statistical analysis of user feedback and quality ratings.

 

  • Partner with ML teams and Subject Matter Experts (SMEs) to evolve quality evaluation methods and metrics.

 

  • Manage pre-release evaluations, testing, plus A/B testing and experiment scale-up strategies.

 

  • Conduct and design experiments related to prompts, prompt templates, and quality initiatives.

 

  • Own data flows, tooling, dashboards, and infrastructure required to run continuous ML quality monitoring and improvements.

Requirements

  • Computer science background with a minimum of 3+ years of experience in technology and 1+ year experience in product management
  • Being up to date with latest technology trends in AI/ML and Generative AI and their applications
  • Demonstrated ability to collaborate closely with ML engineers or data scientists with solid understanding of statistical methods to measure and improve model performance
  • Experience of working with large language models (LLMs), including designing and refining prompts to optimize performance and user experience.
  • Proven track record with A/B testing or large-scale experiment design and analysis
  • Hands-on product management experience of working with backend engineers on system design, experimentation frameworks, and architectures to support low latency interactive applications
  • Familiarity with building or managing dashboards, data pipelines, or analytics tooling for quality monitoring
  • Experience working with Agile methodologies and be comfortable with a fast-paced, always-on, start-up environment
  • Are obsessed with the customer experience. You can translate key consumer needs into business and product requirements. You have an innate understanding of user behavior
    Can serve as the connection between customers and engineering. You are motivated to understand the point of view of doctors practicing medicine
    Leverage user insights and competitive intelligence to inform product decisions. You back decisions with data

Tell me more about Suki

  • On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI.

  • Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.

  • Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital , and others. With our $55M Series C financing, we have the resources to scale.

  • Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.

  • Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.

  • Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.  In compliance with the State of California Pay Transparency Law, the base salary range for this role is between $110,000 and $120,000 in CA. This range is not inclusive of any discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Average salary estimate

$115000 / YEARLY (est.)
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$110000K
$120000K

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What You Should Know About Associate Product Manager - Documentation Quality, Suki

Suki, an innovative company based in Redwood City, California, is seeking an Associate Product Manager - Documentation Quality to join our dynamic team. We are on a mission to transform the healthcare tech stack with AI-powered voice solutions, making it more assistive and less intrusive for healthcare professionals. In this multifaceted role, you'll lead initiatives that ensure our AI-driven solutions deliver unparalleled performance and user satisfaction. Your day-to-day responsibilities will include collaborating with engineers, clinicians, and stakeholders to develop and launch new ML-driven features. You’ll have the opportunity to write clear product specifications that guide our engineering teams, making sure we deliver high-quality products that clinicians love. As Suki continues to push the boundaries of technology in medicine, you will also focus on instrumenting product analytics, interpreting user feedback, and continuously iterating based on data insights. We're looking for a self-starter who is passionate about the customer experience, and who thrives in a fast-paced environment. You'll not only contribute to reducing the administrative burden on doctors but also help foster a diverse and inclusive workplace culture where creativity is encouraged. This role is perfect for someone who wants to make a notable impact in the healthcare space while working alongside a talented team of technologists and clinical experts. If you’re ready to take on challenges in AI and ML alongside a supportive team, Suki is the place for you!

Frequently Asked Questions (FAQs) for Associate Product Manager - Documentation Quality Role at Suki
What are the primary responsibilities of the Associate Product Manager - Documentation Quality at Suki?

As an Associate Product Manager - Documentation Quality at Suki, you will lead various ML-driven initiatives focused on enhancing clinical documentation solutions. Your responsibilities will include communicating product vision, managing pre-release evaluations, and collaborating with clinicians to gather feedback that informs product improvements.

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What qualifications are needed for the Associate Product Manager - Documentation Quality position at Suki?

To qualify for the Associate Product Manager - Documentation Quality position at Suki, candidates should have a computer science background with at least 3 years of tech experience and a minimum of 1 year in product management. Familiarity with AI/ML trends and proven collaboration with engineering teams is essential.

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How does Suki measure success for the Associate Product Manager - Documentation Quality's initiatives?

Success for initiatives led by the Associate Product Manager - Documentation Quality at Suki is measured through product success metrics, user satisfaction ratings, and engagement analytics. Regular iteration based on user feedback and data insights is crucial for achieving continuous improvement.

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What skills are essential for the Associate Product Manager - Documentation Quality role at Suki?

The ideal Associate Product Manager - Documentation Quality at Suki should possess strong communication skills to effectively write product specs and collaborate across teams. A user-centered approach, resourcefulness in problem-solving, and a passion for improving the doctor’s experience are also vital skills.

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What is Suki's company culture like for the Associate Product Manager - Documentation Quality?

Suki's company culture is inclusive and diverse, fostering creativity and collaboration. The Associate Product Manager - Documentation Quality will work in a supportive environment alongside technologists and clinicians dedicated to making a meaningful impact in healthcare

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Common Interview Questions for Associate Product Manager - Documentation Quality
How do you prioritize features for the product roadmap as an Associate Product Manager at Suki?

When prioritizing features, it’s crucial to consider user needs, business impact, and feasibility. Engage with stakeholders to gather insights and ensure alignment with Suki’s mission. Use data analytics to identify high-impact features that enhance user experience and operational efficiency.

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Can you describe a challenging product management experience and how you overcame it?

Address a challenging experience by identifying a specific problem, detailing the steps you took to analyze and resolve it, and emphasizing the outcomes. Highlight how collaboration with cross-functional teams and user feedback informed your solution, showcasing your leadership and problem-solving skills.

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What strategies do you use to gather and analyze user feedback?

Utilize surveys, interviews, and usability tests as part of a comprehensive strategy to gather user feedback. Analyze data quantitatively and qualitatively, prioritize insights, and translate findings into actionable product improvements to enhance the user experience at Suki.

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How would you define the success of a product feature post-launch?

Define success through key performance indicators such as user engagement, satisfaction ratings, and achievement of business objectives. Regularly analyze metrics and gather user feedback to assess the impact and inform future development cycles.

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What tools or methodologies are you familiar with for product development in a tech environment?

Familiarity with Agile methodologies, along with tools like Jira for project management, and user analytics tools for data tracking. Understanding of A/B testing frameworks and user feedback mechanisms is essential for successful product development efforts.

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How do you ensure effective communication with cross-functional teams?

Ensure effective communication by setting up regular sync meetings, leveraging collaboration tools for updates, and following a clear reporting structure. Always encourage an open dialogue and be responsive to inquiries to foster collaboration within teams.

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Describe your experience with machine learning in product management.

Share specific experiences working with ML engineers, detailing how you translated user needs into product specifications. Discuss successful initiatives that involved A/B testing, analysis of model performance, or user behavior insights that led to impactful product enhancements.

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What do you think is the impact of AI on healthcare documentation?

AI significantly enhances healthcare documentation by streamlining note-taking, reducing the administrative workload on clinicians, and improving accuracy. Discuss examples where AI-driven documentation has led to better workflow and patient care, aligning your answer with Suki’s mission.

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How would you handle a situation where a product feature did not meet user expectations?

Address such situations by gathering specific user feedback to understand shortcomings, communicate openly with stakeholders about the findings, and formulate a plan for improvements. Utilize an iterative approach to quickly adapt the product based on user insights.

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What excites you most about being an Associate Product Manager at Suki?

Express your enthusiasm for Suki’s mission of revolutionizing healthcare through innovative technology. Highlight your passion for user-centered design, the opportunity to work with talented professionals, and your drive to create solutions that significantly improve doctors’ experiences.

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Suki is an AI-powered, voice-enabled digital assistant for doctors. Suki was founded in 2017 and is based in California, the United States.

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DATE POSTED
April 10, 2025

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