Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position:
The Product Manager will provide the Data Analytics & AI team an anchor and partner with cross-functional stakeholders at Intuitive to design, develop, and mature analytical capabilities. This person will deliver actionable business insights, drive data-informed product decisions, and architect robust analytical solutions enabling world-class product strategies. This critical role combines expertise in product analytics, business intelligence, data engineering, and data science to evaluate product health, user engagement, and adoption trends, and to identify and quantify opportunities for growth and improvement. The successful candidate is a detail-oriented, strategic thinker skilled in extracting value from data, designing scalable insight platforms, and communicating with diverse business and technology stakeholders.
Roles & Responsibilities
Product Performance Measurement
Define, measure, and report key product KPIs and success metrics, ensuring alignment across the commercial org.
Analyze user engagement, product adoption, and feature utilization through cohort analysis and exploratory data analysis.
Identify product trends, pain points, and growth opportunities.
Advanced Analytics, AI & Data Science
Apply statistical techniques, machine learning models, and predictive analytics to understand and optimize product performance.
Conduct behavioral analysis, segmentation, and deliver recommendations to support increased product adoption and value realization.
Lead the design, execution, and analysis of A/B tests and experimentation to support hypothesis-driven product enhancements.
Develop and iterate on models to predict user engagement, churn, and feature impact.
Lead the design, development, and deployment of AI/ML models, including large language model (LLM) integrations and autonomous agentic pipeline
Provide Product Decision Support: Support data-driven prioritization, rapid experimentation, and iterative product development. Data Product Development & Insights Architecture
Collaborate with data engineering teams to define, maintain, and improve clean and governed datasets.
Ensure the consistency, accuracy, and accessibility of key business and product metrics across dashboards and reporting tools.
Contribute to the design and build of enterprise data products, self-serve insight platforms, and analytical tools that empower partners across the organization.
Stakeholder Management & Communication
Act as the analytical partner to commercial stakeholders in product, engineering, and business operations.
Present findings in clear, concise formats tailored for both technical and non-technical audiences.
Contribute to strategic planning by providing data-informed perspectives and recommendations.
Qualifications
Required Qualifications
Bachelor's degree in engineering, mathematics, computer science, data science, statistics, finance, or a similar quantitative field
3–6 years of progressive experience in product analytics, business analytics, advanced analytics, or data science roles.
5+ years’ experience using data warehouse solutions and databases (using tools such as SQL, PL/SQL, etc.) Strong SQL skills, ability to perform optimized querying involving multiple tables and subqueries.
Strong proficiency in Python (or R) for data analysis, modeling, and workflow automation.
Demonstrated experience designing and building dashboards using tools such as Tableau, Looker, Power BI, or similar BI platforms.
Solid understanding of statistical analysis, experimental design, data modeling, and practical application of analytics methods in business settings.
Experience working with business system requirements and building solutions.
Experience gathering/documenting business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports
Experience with cloud platforms and the modern data stack (AWS, Azure, GCP, Snowflake, Redshift, BigQuery, Airflow).
Familiarity with analytics modeling tools.
Prior experience in data architecture, data pipeline design, and implementation of data governance/quality controls.
Working knowledge of cloud-based data environments and efficient data engineering workflows.
Familiarity with machine learning, predictive modeling, and relevant frameworks (scikit-learn, TensorFlow, etc.)
Key Skills
Product analytics and KPI development
Advanced data analysis and visualization
Experimental design (A/B and multivariate testing)
Data storytelling and business insight generation
Business problem solving and product strategy support
Insights architecture and data product development
Stakeholder engagement and cross-functional collaboration
Excellent written and verbal communication skills
Intellectual curiosity and continuous process/data improvement mindset
Strong problem-solving, quantitative, and analytical abilities; Solution-oriented
Ability to effectively prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $166,000 USD - $238,800 USD
Base Compensation Range Region 2: $141,100 USD - $203,000 USD
Shift: Day
Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
