Kalderos

Product Manager

• Champion Product Ownership: Lead the end-to-end product lifecycle, ensuring that your product addresses critical risks such as value, usability, feasibility, and business viability. You’ll be the glue that holds the product together from concept to delivery.
• Drive Analytics Strategy: Help shape product direction and strategy for our data and insights solutions, centered around actionable intelligence for Pharmaceutical Manufacturers, Healthcare Providers, Third Party Administrators, and Payers. This includes accelerating development and differentiation with robust analytics capabilities across our platform.
• Innovate Every Day: Engage deeply with users and customers to understand their needs and challenges, then translate those insights into actionable product features and enhancements. Your day might involve anything from customer interviews to fine-tuning product features with the engineering team.
• Drive Operational Efficiencies: Identify and implement analytics-driven operational efficiencies, especially in automating complex drug discount workflows. Additionally, build new data-driven features like pricing & purchasing strategies for our customers, increasing engagement and value.
• Elevate Product Management: Unlike other roles with the same title, you’ll not only build and deliver products but also shape product strategy at a higher level, working closely with senior leadership to align with the company’s vision and goals.
• Make a Difference: Your work will be central to Kalderos’ mission of redefining how the business of healthcare performs, ensuring that our products are not only innovative but also deliver real, measurable value to the market.

Senior Product Manager, Analytics

Business Analyst

• Serve as a client-facing Business Analyst with Kalderos, interfacing with pharma manufacturers to understand Model N implementation needs
• Gather and document business implementation requirements related to gross-to-net (GTN), chargebacks, rebates, and pricing
• Review implementation plans and configuration approaches for alignment with business requirements; identify risks, dependencies, and assumptions
• Review SIT and UAT test plans; augment with detailed steps, input data, expected results/verification, pre-reqs, and environment notes
• Build scenario matrices for Medicaid programs, product/state eligibility, effective dating, and URA/formula behaviors; add missing tests, merge duplicates, and optimize sequencing
• Perform test data checks and tie-outs to confirm test readiness; coordinate with teams to resolve data/config gaps and track issue closure
• Maintain core artifacts as needed: test plans, scenario catalogs, traceability matrices, decision/RAID logs; ensure version control and auditability
• Support SIT/UAT planning (entry/exit criteria, coverage, roles) and consult during execution; assist with defect triage/prioritization without leading test runs
• Advise on OOTB vs. configuration options in Model N to meet business needs and Medicaid Drug Rebate Program compliance
• Identify opportunities to incorporate Model N, rebate program best practices from a process perspective and provide ongoing training/reinforcement to team members
• Collaborate with and participate in a regular cadence of status check-ins with Kalderos’ Customer Success Team Lead, which will ladder up to status updates to manufacturers
• Provide insight with in-depth analytics and reporting to internal and external parties.

Business Analyst – Temporary

Data Scientist

• Work closely across data analytics, data science and product to enable the team to deliver high impact functionality and hit dates committed to on the roadmap
• Use business acumen to help prioritize product features and technology roadmap items
• Create and maintain a technology roadmap
• Work closely with other engineering leadership to mentor and guide them on business, career planning, budget and technical architecture
• Create and maintain an engaging and fun engineering and data culture
• Coach and mentor analysts, data scientists and managers to empower them to be the best versions of themselves. You will need to find the right balance between creating the space for them to do their best work, and coaching and developing new skills.
• Recruit and onboard new analysts, data scientists and managers
• Improve our delivery processes to increase accuracy of estimation, reliability of delivery, and velocity of execution
• Oversee the company’s technology vendor relationships and provide recommendations on whether to buy or build components and capabilities
• Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

Senior Product Manager, Analytics

Business Analyst – Temporary

Director of Data Science