Role Description Digital Sales Manager – Transform the Future of Surgery Through Digital Innovation Are you passionate about leading sales teams, driving innovation, and shaping the future of healthcare technology? As a da Vinci Digital Sales Manager (DSM), you will play a pivotal role in accelerating the adoption of Intuitive’s cutting-edge digital ecosystem while building and leading a high-performing sales organization. In this highly visible leadership role, you will: - Develop and execute strategic growth initiatives. - Coach and inspire top sales talent. - Partner cross-functionally to expand customer engagement with Intuitive’s digital solutions. By helping surgeons and healthcare organizations unlock the power of data, simulation, and connectivity, you will directly contribute to advancing surgical education, performance, and patient outcomes. Our digital portfolio includes My Intuitive+, which can enhance a robotic-assisted surgery program with AI-powered video analysis, real-time surgical collaboration, and console-integrated simulation—all designed to help surgeons sharpen their skills. The My Intuitive + platform is available exclusively with da Vinci 5. Key Responsibilities - Build and Lead a High-Performing Team: Recruit, develop, and coach a world-class Digital Sales team focused on accelerating pipeline growth, customer acquisition, and market expansion. - Drive Strategic Growth: Design and execute innovative sales strategies that increase adoption, utilization, and long-term customer success across Intuitive's digital portfolio. - Deliver Commercial Excellence: Establish clear performance goals, track key metrics, and drive accountability to achieve sustained revenue growth and business success. - Align and Influence Across the Organization: Partner with field sales and corporate stakeholders to ensure strategic market alignment, effective lead prioritization, and seamless execution. - Collaborate Across Functions: Work closely with Marketing, Product Management, Clinical, and Operations teams to identify growth opportunities and optimize go-to-market initiatives. - Champion Innovation and Change: Lead training, adoption, and change management efforts for new digital products and solutions. - Advocate for Customers: Serve as a trusted voice of the customer, translating feedback into actionable insights that enhance product development and user experience. - Optimize Business Performance: Oversee territory planning, forecasting, reporting, and operational compliance to support scalable growth. Qualifications - Candidates must reside in or be willing to relocate to a major city in the Western U.S. with access to a major airport, such as Phoenix, Los Angeles, San Francisco, Seattle, Denver, or Salt Lake City. - Bachelor’s degree in business, marketing, or related field. - Minimum of 5 years of sales experience, including 2+ years in medical sales leadership (direct experience managing salespeople is required). - Experience in healthcare technology, medical devices, or enterprise software preferred. - Proven success in strategic account management and cross-functional project leadership. - Strong communication, organizational, and consultative selling skills. - Ability to travel up to 75%; field selling and surgical area access required. Requirements - Experience with IDNs and strategic customer growth. - Familiarity with digital product adoption and customer success strategies. - Remote work, but requires some field selling. - Able to travel up to 75%, some short notice travel required. - Able to enter surgical and other patient care areas. Benefits - Market-competitive compensation packages, inclusive of base pay + commission, benefits, and equity. - The target pay rate for this position is $232,500.

• Lead and develop a team of analysts focused on our strategic partnerships channels • Translate ambiguous business questions into analytical frameworks, experiments, and models — including forecasting and ROI modeling • Partner with Business Development, Engineering, and Product to evaluate, onboard, and optimize partner relationships • Build and maintain scalable dashboards and reporting infrastructure to measure partner performance and economics • Conduct cohort, funnel, and retention analyses of actuals versus forecasts to diagnose partner effectiveness • Own testing and measurement frameworks for partner pilots and growth initiatives • Serve as the analytics “voice of truth” in cross-functional partner strategy discussions

• Own the program’s analytics pipeline: intake and analysis of claims records, eligibility files, and MAO-004 reconciliation data across all clients. • Own care-gap identification: the analysis that determines which validated findings represent open, addressable gaps. • Own closure reconciliation on the program's vintage-cohort, MAO-004-evidenced measurement basis, including the monthly cohort measurement cycle and the collection-method distinctions (current eligibility vs. retrospective) that determine how cohorts are read. • Own billing reconciliation: studies-analyzed and per-unit program activity reconciled to invoiced volume by client and by practice, at a standard that survives client audit. • Build funnel instrumentation: stage-level conversion from finding identified, to shared with the physician, to acted on, to closed, so the program can see where value leaks rather than only its cumulative totals. • Deliver practice-level performance analysis: which practices are converting, which need education or intervention, and where concentration or volume volatility creates program risk. • Deliver the program’s baseline restatement on the vintage-cohort measurement basis and stand up the monthly measurement cycle aligned to CMS reconciliation windows in your first 90 days. • Document, standardize, and progressively automate the pipeline in partnership with Product and Engineering, so the program’s measurement survives any individual.

Role Description The Senior Data Analyst is a hands-on analytical contributor embedded in the engineering team. This role bridges the gap between the data itself and the engineers, product managers, and data analysts building and evaluating the Knowledge Graph. The primary focus is data integrity: - Validating datasets, verifying query outputs, tracing the root cause of discrepancies, and applying statistical methods to assess data quality across multiple storage technologies. - This is a practitioner role, not a consulting engagement. The deliverable is evidence — validated results, documented defects, root cause analysis, and statistical assessments that the team can act on. What You’ll Do - Validate datasets loaded into each technology to confirm completeness, accuracy, and structural integrity relative to source data in Databricks and CDS. - Verify benchmark query outputs across technologies — confirm that the same logical query against the same underlying data produces consistent, correct results regardless of which system executes it. - Identify, document, and trace the root cause of data discrepancies and defects discovered during validation; distinguish between ETL issues, schema translation errors, technology-specific behavior, and upstream data quality problems. - Develop and maintain validation test cases and expected outputs for benchmark queries and compliance use cases. - Support the collection and documentation of compliance use cases from the business unit. - Help assess each use case: can it be fulfilled by a conventional database approach, or does it require the traversal and pattern-matching capabilities of a purpose-built graph database? - Contribute analytical rigor to use case triage — this is a cost-and-complexity decision as much as a technical one. - Apply statistical methods to evaluate dataset representativeness, sampling quality, and measurement reliability across benchmark runs. - Analyze benchmark result distributions — identify outliers, assess variance across cold/warm/concurrent runs, and flag results that require deeper investigation before scoring. - Produce summary statistics and data quality reports that inform the team's architecture assessment. - Document validation findings, defect reports, and root cause analyses in a format the engineering team can act on. - Maintain a running record of known data issues and their resolution status across each technology under evaluation. Qualifications - Demonstrated experience validating large, complex datasets — identifying discrepancies, tracing root causes, and documenting findings clearly. - Strong SQL skills; ability to write analytical queries against relational databases (PostgreSQL experience preferred). - Experience working with data at significant scale — hundreds of millions of records — where manual spot-checking is insufficient and systematic validation approaches are required. - Familiarity with ETL pipelines and the types of data quality issues that arise in data loading and transformation. - Practical experience applying statistical methods to data quality assessment: distribution analysis, outlier detection, variance analysis, sampling validation. - Ability to interpret benchmark result data and distinguish meaningful performance differences from noise. - Comfort working across multiple database technologies and query languages — this role will need to query data in PostgreSQL, graph databases, and Databricks as part of normal validation work. - Experience with Databricks or similar distributed data platforms (Spark, Delta Lake). - Strong written communication — validation findings, defect reports, and root cause analyses must be clear enough for both engineers and product stakeholders. - Ability to work independently under minimal supervision, taking direction from peers rather than requiring structured management oversight. - Experience embedded in a cross-functional engineering team. Requirements - The anticipated hourly range for this position is $70 hourly. Rate is based on a range of factors that include relevant experience, expertise, and organizational impact. This is based on a 40-hour workweek and leveling. Keep in mind, we're flexible. Benefits - DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. - We’re committed to an inclusive and barrier-free recruitment and selection process and workplace. - DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. - We are a B Corp-certified company passionate about purpose-driven work.