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Business Operations Manager, Men’s Health

LifeMD
CompanyLifeMD
CategoryOperations & Admin
LocationNew York
RemoteOn-site (inferred)
EmploymentFull-time
LevelManager
SalaryNot stated by the employer
Posted25 Jun 2026
Last verified9 Aug 2026
SourceEmployer ATS (workable)
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Description
About us LifeMD is a leading provider of virtual primary care, telehealth, and specialized treatment programs serving hundreds of thousands of patients nationwide. Our vertically integrated platform combines 50-state licensed providers, in-house pharmacy and lab integrations, and proprietary technology that enables safe, high-quality, and affordable care. At the heart of this transformation is our team of developers, engineers, and tech innovators building state-of-the-art systems that make healthcare smarter, faster, and more accessible. From architecting scalable backend systems to crafting intuitive user experiences, we are pushing boundaries every day. Recognized as one of the fastest-growing healthcare tech companies (#166 on Deloitte Fast 500 in 2023), LifeMD is not just a healthcare company — it's a tech company revolutionizing healthcare. About the role The Business Operations Manager serves as a primary operational partner to the General Manager of LifeMD’s Men’s Health business. In this role, you will lead the end-to-end execution of new product launches, develop and manage the vendor and partner ecosystem that supports them, and leverage modern tooling—particularly AI—to deliver outcomes that have traditionally required a full team. This is a hands-on execution role rather than a coordination function. Performance is measured by what you deliver, not by activity or process metrics. We are seeking an operator who reads, decides, drafts, builds, negotiates, and deploys—someone who takes direct ownership of outcomes. You will partner closely with the GM on strategy while leading execution across a product portfolio that spans multiple verticals, each with distinct clinical, regulatory, supply chain, and growth considerations. Your mandate is to keep all of it moving. Responsibilities Lead New Product Launches End-to-End Guide products from approval through to live, converting offerings, sequencing work across the clinical, regulatory, product, marketing, supply chain, and pharmacy functions. Own the launch plan, milestones, and dependencies, surfacing blockers early and resolving gaps directly when ownership is unclear. Conduct a retrospective after each launch, identify the highest-priority improvements, and implement them before the next launch. Build and Manage the Vendor and Partner Ecosystem Source, evaluate, contract, onboard, and manage performance across pharmacies, lab partners, EHR and telehealth platform vendors, payment processors, lifecycle/CRM tools, and AI and automation providers. Translate Strategy into Execution Convert the GM’s priorities into concrete plans with clear owners, timelines, and measurable outcomes, then drive them to completion. Maintain a disciplined weekly cadence with the GM covering progress, risks, and decisions requiring escalation. Build with AI Use AI tools such as Claude, ChatGPT, Glean, and Notion AI as core infrastructure rather than novelty—prototyping internal workflows, specifying automations for engineering, and developing code, SQL, or no-code integrations where doing so accelerates delivery. Identify opportunities where AI can consolidate multi-step manual processes—such as patient-intake review, vendor outreach, claims and compliance summarization, and content QA—and build the prototypes. Serve as the Operational Subject-Matter Expert Maintain a thorough understanding of the competitive landscape, patient journey, pricing, and channel-level conversion economics. Own KPIs, Financial Modeling, and Performance Analytics Maintain the KPI dashboard for each product line—acquisition, activation, conversion, AOV, retention, churn, refill rate, CAC/LTV, vendor unit cost, and gross and contribution margin—setting targets with the GM and reporting against them weekly. Apply rigorous analytical methods—A/B test design and sizing, statistical significance and confidence intervals, cohort analysis, r