• Build and structure a centralized knowledge base (e.g., Notion or Confluence) • Document and prepare knowledge from Sales, Delivery, and Product • Develop clear structures, templates, and best practices (playbooks, runbooks) • Work closely with business units to systematically capture knowledge • Maintain, quality-assure, and continuously improve content • Responsible for structured training and learning initiatives for employees and customers

• Develop and execute a scalable, AI-first marketing strategy aligned with Sevaro’s growth objectives. • Differentiate Sevaro in a competitive telehealth and health tech landscape. • Build and optimize a modern marketing stack leveraging AI tools for predictive analytics, content generation, segmentation, and campaign automation. • Design systems that enable rapid experimentation, iteration, and performance optimization. • Use AI to enhance personalization, targeting, and conversion across campaigns. • Partner with Business Development and Leadership to drive and/or automate campaign systems, pipeline growth and revenue impact. • Build and execute multi-channel growth campaigns across inbound, outbound, and account-based strategies. • Implement AI-enhanced lead scoring, attribution modeling, and funnel optimization. • Analyze CAC, LTV, and funnel conversion metrics to drive decisions. • Own Sevaro’s digital presence and performance marketing strategy (SEO, SEM, paid media, website). • Leverage AI tools to optimize ad targeting, on-brand content, creative testing, and campaign performance at scale. • Build and scale automated nurture campaigns and lifecycle marketing workflows. • Drive high-velocity, AI-assisted content creation across channels. • Experience working with both predictive and generative AI technologies and tools and demonstrate the ability to distill technical concepts for a variety of audiences. • Lead implementation of AI tools across the marketing function (ChatGPT, HubSpot AI, etc.). • Build automated workflows and playbooks to improve speed, efficiency, and scalability. • Establish dashboards and reporting systems for real-time performance tracking. • Continuously test emerging AI tools for competitive advantage. • Refine Sevaro’s brand narrative in a tech-enabled healthcare landscape. • Utilize and manage Sevaro's LinkedIn and other social media pages in creative and efficient ways. • Use data and AI insights to inform messaging and segmentation. • Analyze market trends and competitors to identify growth opportunities. • Differentiate Sevaro in the healthcare and telehealth landscape with proven KPIs and methodologies. • Manage external agencies and vendors focused on performance and ROI. • Integrate AI tools into vendor workflows. • Ensure alignment across internal and external stakeholders.

AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently. Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Location: NAMER / EMEA (Remote) Hi there!Zapier is looking for a Manager, Machine Learning & AI to lead our AI Platform team within the Data organization. AI is at the core of how Zapier helps customers automate work - powering everything from established AI/ML-driven experiences to new experiments that push what’s possible with LLMs and agents. This is an exciting moment to join: we’re scaling proven AI capabilities while also building the next generation of AI features, which means there’s real impact today and meaningful greenfield work ahead. The AI Platform team builds the shared foundations that make it faster and safer for product teams to ship AI/ML-powered experiences: model runtime and serving patterns, LLMOps/MLOps tooling, evaluation harnesses, feature and data access patterns, reliability and cost controls, and developer workflows. You’ll lead a team of ML/AI engineers focused on enablement at scale, partnering closely with applied ML teams and product engineering to turn cross-cutting needs into reusable primitives, platforms, and golden paths - so Zapier can ship AI features quickly without compromising safety, reliability, or cost. - Our Commitment to Applicants - Culture and Values at Zapier - Zapier Guide to Remote Work - Zapier Code of Conduct - Diversity and Inclusivity at Zapier About you - You have 5+ years of experience in Machine Learning / AI and have shipped production systems end-to-end (from design, launch, iteration, monitoring/on-call). - You have experience leading engineers (people management or clear team-lead responsibility), and you coach through feedback, delegation, and career development. - You can translate ambiguous goals into a prioritized roadmap with milestones, measurable outcomes, and clear ownership. - You have built or operated platform / infrastructure / tooling used by other teams (internal platforms, ML platforms, data platforms, evaluation/experimentation platforms, or similar). - You have strong software engineering fundamentals (clean, testable code; CI/CD; operational readiness; reliability and incident response). - You understand ML/LLM system design well enough to guide decisions on serving patterns, evaluation/quality gates, observability, safe rollouts, and cost controls. - You’re effective at stakeholder management at scale: you build trust across dozens of teams (not just a handful of close partners), align on clear interfaces and contracts, and drive broad adoption through documentation, enablement, and pragmatic support. - You have strong product judgment and are comfortable saying no: you push back on low-leverage requests, prioritize work that compounds across teams, and communicate tradeoffs clearly and respectfully. - You balance speed, safety, reliability, and cost, and you default to shipping “works simply” solutions and iterating based on learnings. - You communicate clearly with both technical and non-technical audiences, making tradeoffs, progress, and impact easy to understand. Things you’ll do - Lead the AI Platform team: hire, coach, and develop ML/AI engineers; run team rituals; manage performance; and build a strong, inclusive team culture. - Deliver platform outcomes that help product teams ship AI faster and more safely: paved roads, reusable libraries/services, standard patterns, and clear developer documentation. - Own the AI Platform roadmap with your PM partner, translating cross-team needs into a prioritized plan with clear tradeoffs, measurable adoption, and business impact. - Partner cross-functionally with product teams, Applied AI/ML teams, Security, and Data Platform teams to ensure platform capabilities integrate cleanly and are widely adopted. - Drive operational excellence: define SLOs where appropriate, run incident reviews, improve alerting/monitoring, and ensure the platform is dependable and cost-effective. - Participate in AI vendor evaluation and management as needed (requirements, trials, integration plans, and cost/performance monitoring). - Communicate clearly and often: share updates, tradeoffs, and platform adoption progress; make the work visible; and keep stakeholders aligned. Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

State of Location: Wisconsin Position Summary: The Principal AI Solutions Engineer is a strategic and technical role responsible for driving the successful, ethical, and scalable adoption of AI across our network of 750+ outpatient clinics and growing. This individual serves as the chief translator between executive business needs and technical AI capabilities, ensuring all AI engagements align with the overall enterprise ecosystem and deliver measurable Return on Investment (ROI) and improved patient outcomes. This role includes hands on solution execution: creating AI agents, agentic workflows, rapid prototyping, etc., while continuing to understand and incorporate new capabilities in the AI landscape. Join Ivy Rehab’s dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Job Description: Key Responsibilities Business Partnership & Value Realization - Use Case Prioritization: Act as a strategic consultant to business function leaders (e.g., COO, CFO, Chief People Officer, Chief Medical Officer, etc.,) to identify, vet, and prioritize high-value AI use cases - ROI & Business Case: Partner in the development of comprehensive business cases for new AI investments, translating technical performance metrics into financial and operational KPIs (e.g., claims denial reduction, clinician time-in-EMR). - Executive Communication: Present complex AI strategies, risks, and performance metrics to the Executive Leadership Team (ELT) in a clear, compelling, and non-technical manner. - Organizational Enablement: Lead internal AI literacy efforts, guiding different functions (from clinical informatics to finance) on how to strategically leverage and measure the impact of new AI technologies. Technical Exploration & Experimentation - Rapid Prototyping: Lead quick, focused Proofs of Concept (POCs) on emerging technologies (e.g., new models, open-source AI frameworks) to determine their viability and fit within the regulated healthcare environment. - Vendor Vetting: Conduct deep technical due diligence and performance testing on third-party AI vendors, evaluating their architecture, adherence to SLAs, and security posture (e.g., HITRUST controls). - Maturity and Scaling: Define the path for moving successful AI prototypes from the pilot environment to enterprise-wide production deployment, focusing on monitoring (model drift), latency, and cost optimization. Strategy, Governance, & Integration - Enterprise AI Roadmap: Define the technical and architectural roadmap for AI integration, focusing on data pipeline requirements, MLOps tooling, and shared services (e.g., central API gateways for AI agents). - AI Governance: Collaborate with the Security and Compliance teams to define and enforce Responsible AI (RAI) policies, ensuring all solutions adhere to HIPAA, are free from bias, and maintain PHI security standards. - Technical Architecture: Serve as the technical expert to ensure AI solutions integrate seamlessly with our core systems, including the EMR, Telehealth platforms, and Patient Engagement portals, adhering to healthcare interoperability standards. Required Qualifications - Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field. - Experience: 7+ years of progressive experience in technology, solutions engineering, commercial software development. - Technical Depth: Hands-on experience with core AI technologies (LLMs, Agents, NLP, predictive analytics) and proficiency in cloud platforms (Azure, GCP, or AWS). Experience with healthcare data standards (FHIR, HL7) and MLOps principles is essential. - Industry Expertise: Deep working knowledge of the healthcare provider landscape, including core systems (EMR), Revenue Cycle Management (RCM), and regulatory requirements (HIPAA, HITECH). - Communication: Exceptional ability to distill complex technical concepts into clear, strategic ​narratives for both engineers and C-suite executives. - Mindset: A curious, experimental mindset with a proven history of independent "tinkering," developing prototypes, and challenging the status quo for technological improvement. Preferred Qualifications - At least 2 years directly focused on deploying and integrating AI/ML models in an enterprise high growth setting Why choose Ivy?     - Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture.    - Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes.     - Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays. - Empowering Values: Live by values that prioritize teamwork, growth, and serving others. #LI-ST1 #LI-Remote We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyrehab.com