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Commercial Strategy & Enablement Associate

Sword Health

远程工作

地点
Remote (Portugal)
薪资
EUR 32605-51237 per annual
工作安排
Full Time
发布日期
2026年10月18日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) — Uses AI daily to boost personal productivity Builder (Level 2) — Creates workflows and tools that elevate the whole team Integrator (Level 3) — Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role The Enablement Operations & Analytics Manager is the operational and analytical backbone of Commercial Enablement. This role connects enablement strategy to the technology, data, and systems infrastructure that makes it scalable across our global commercial organizations. You'll own the data that proves whether enablement programs work, the dashboards that make performance visible, and the systems and automations that let a lean team scale its impact. This is a builder role: you'll turn ambiguous problems into measurable frameworks and one-time wins into repeatable, scalable systems. What you’ll be doing Enablement Measurement & Analytics Design and own how we measure enablement effectiveness. Build measurement frameworks that connect enablement inputs (training completion, content engagement, coaching activity) to rep performance outputs (pipeline progression, deal velocity, close rates) at the individual level. Build and maintain self-service dashboards using BI tools (e.g., Omni, Tableau). Own conversation intelligence reporting (e.g., Gong scorecards, leaderboards). Turn data into clear recommendations on what to scale, iterate, or deprecate. Systems, Automation & AI Own the build-out and adoption of AI and automation tools across Commercial. Design workflows, build agents and skills, and drive adoption of tools that reduce manual rep effort across CRM (e.g., Salesforce), conversation intelligence, email, and content platforms. Manage content retrieval and recommendation logic so reps get the right material at the right time. Maintain the infrastructure layer for how reps find and use approved content: folder architecture, metadata standards, and source-of-truth maintenance. Scaling & Operationalizing Enablement Programs Take what works and systematize it. Onboarding frameworks, certification programs, methodology rollouts, and launch packages all run through this function. Define the operational requirements for new programs, build the tracking and reporting around them, and create repeatable playbooks that extend across teams and segments. Cross-Functional Operations Work daily with data engineering, revenue operations, product/AI teams, and commercial leadership. Define data requirements, coordinate on tool integrations, and translate business problems into technical specifications. Manage stakeholder relationships across functions to drive enablement priorities forward. To get to know more about our Tech Stack, check here. What you need to have 3 to 5 years in sales operations, analytics, enablement, or a related ops/analytics role Strong analytical skillset: comfortable building measurement frameworks, reports, and dashboards independently Experience with AI tools and automation platforms Builder mentality: track record of turning ad hoc processes into repeatable, scalable systems Strong written and verbal communication in English Nice to have Background in or exposure to B2B sales environments or go-to-market teams Consulting, industrial engineering, or process improvement background Comfort working through ambiguous, undefined problems without a set methodology *The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range €32.605—€51.237 EUR Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status. Originally posted on Himalayas

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