
5001 - 10000 employees
Founded 1997
⚕️ Healthcare Insurance
☁️ SaaS
🤖 Artificial Intelligence
💰 Post-IPO Equity on 2017-05
Healthcare Insurance • SaaS • Artificial Intelligence
athenahealth is a provider of healthcare software solutions focused on enhancing clinical effectiveness, patient experience, and financial performance. Its flagship product, athenaOne, is an all-in-one solution that includes electronic health records (EHR), revenue cycle management (RCM), and patient engagement tools. The company offers tailor-made solutions for various healthcare providers, ranging from small practices to large health systems and specialities like behavioral health and pediatrics. athenahealth also provides payer solutions, advisory services, and platform services to improve patient outcomes and reduce costs, while ensuring a highly reliable service with 99. 98% uptime. Their solutions also incorporate AI-powered features like Ambient Notes to streamline clinical documentation. With a focus on interoperability and efficiency, athenahealth aims to simplify healthcare delivery and improve outcomes for both providers and patients.
🔥 0 minutes ago
🌲 North Carolina – Remote
💵 $116k - $196k / year
⏰ Full Time
🟠 Senior
⚙️ Marketing Operations
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 1997
⚕️ Healthcare Insurance
☁️ SaaS
🤖 Artificial Intelligence
💰 Post-IPO Equity on 2017-05
Healthcare Insurance • SaaS • Artificial Intelligence
athenahealth is a provider of healthcare software solutions focused on enhancing clinical effectiveness, patient experience, and financial performance. Its flagship product, athenaOne, is an all-in-one solution that includes electronic health records (EHR), revenue cycle management (RCM), and patient engagement tools. The company offers tailor-made solutions for various healthcare providers, ranging from small practices to large health systems and specialities like behavioral health and pediatrics. athenahealth also provides payer solutions, advisory services, and platform services to improve patient outcomes and reduce costs, while ensuring a highly reliable service with 99. 98% uptime. Their solutions also incorporate AI-powered features like Ambient Notes to streamline clinical documentation. With a focus on interoperability and efficiency, athenahealth aims to simplify healthcare delivery and improve outcomes for both providers and patients.
• Lead marketing orchestration operations and automation strategy across the buyer journey • Own the operational strategy for coordinated, data-driven engagement across the marketing funnel • Ensure programs are prioritized, personalized, measurable, and aligned to lifecycle progression • Work at the intersection of marketing strategy, operations, data, technology, and AI • Own the operational architecture that integrates inbound and outbound motions • Partner closely with AI Strategy lead to implement AI-driven initiatives • Support marketing transformation efforts through scalable operational execution • Partner across teams to implement data-driven, automated, and AI-enabled ways of working
• 7+ years in Marketing Operations, Lifecycle Marketing, Demand Generation, or a related B2B marketing role • Familiarity with AI-enabled marketing capabilities and a track record of applying them in real-world use cases • Experience building segmentation, personalization, suppression, prioritization, trigger, and eligibility frameworks • Strong understanding of lifecycle architecture, data flows, lead management, audience governance, and marketing-to-sales handoff processes • Experience designing and governing complex customer journeys, nurture programs, campaign interaction models, or lifecycle engagement strategies • Hands-on expertise with marketing automation platforms (Marketo, HubSpot, Pardot) and CRM systems (Salesforce) • Strong analytical skills with experience using reporting/BI tools (Tableau, Power BI, or similar) • Systems thinker with the ability to design and communicate complex workflows • Strong collaborator who can influence across teams and translate strategy into execution • Strong understanding of data models, data flows, and lifecycle architecture • Ability to translate strategy into execution and communicate complex concepts to non-technical stakeholders • Demonstrated experience applying AI in marketing use cases (e.g., segmentation, personalization, lead scoring, journey decisioning, campaign optimization) • Familiarity with modern AI tooling (e.g., generative AI, predictive analytics, CDPs, intent data platforms) and ability to evaluate/build use cases • Understanding of prompt engineering, workflow automation, and/or integration of AI into marketing stacks • Knowledge of AI governance, data privacy, and ethical considerations in marketing applications.
• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Tuition assistance • Employee assistance programs • Employee resource groups • Collaborative workspaces
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