AccessHope

Performance Marketing

• Lead co-marketing with existing partners through joint campaigns, content, webinars, and events
• Cultivate predictable-performing channels reaching buyers and the oncology community
• Build demand generation programs that raise awareness and educate future buyers at targeted employer accounts
• Develop account-based campaigns for priority health plans and high-value partners
• Plan and manage paid programs and LinkedIn advertising with clear goals and performance tracking
• Own webinar and campaign calendars, including speaker coordination, promotion, production, follow-up, and program extension
• Run email marketing, including newsletters and nurture campaigns
• Update campaign landing pages and the website
• Own website performance, engagement, SEO, and GEO
• Manage campaign operations in HubSpot, including lists, forms, emails, workflows, lead routing, reporting, and data quality
• Run operations within the webinar platform
• Collaborate with Product, Clinical, Marketing, Partnerships, and Growth teams to develop presentations, content, and campaign materials
• Support earned media opportunities and improve content discoverability through search
• Own the demand generation budget, tracking spend, reporting results, and adjusting investments based on performance

Senior Manager, Demand Generation Channels

Program Manager

• Maintain an integrated view of active AI initiatives, milestones, dependencies, owners, risks, and decisions
• Drive project plans and follow-ups across AI, engineering, product, clinical, operations, security, and other stakeholders
• Coordinate working sessions, document decisions, and ensure actions are completed
• Identify blockers early and escalate issues requiring leadership decisions
• Serve as a coordination point for external AI and technology partners
• Track vendor deliverables, timelines, technical dependencies, and open questions
• Coordinate vendor integrations, testing, security reviews, and implementation
• Help evaluate vendor deliverables against agreed requirements and acceptance criteria
• Translate business and clinical use cases into structured requirements, workflows, user stories, and acceptance criteria
• Partner with technical teams on AI architecture, data requirements, integrations, model evaluation, and deployment considerations
• Coordinate testing and evaluation activities, tracking accuracy, quality, latency, reliability, and other relevant measures
• Maintain documentation of AI capabilities, limitations, assumptions, and validation results
• Prepare concise program updates for technology and business leadership
• Maintain decision logs, risk registers, project dashboards, and meeting outputs
• Translate technical progress into clear business language for non-technical stakeholders
• Ensure teams have visibility into deliverables, objectives, status, and decisions needed

AI Technical Program Management Intern – Part-time

Vice President

• Own enterprise technology architecture across all platforms
• Develop and maintain a multi-year technology roadmap
• Define architectural principles, standards, and governance
• Review major technology initiatives
• Ensure scalability, maintainability, security, and resilience
• Lead the architecture review board
• Own enterprise AI architecture, including generative AI platforms, agentic AI frameworks, LLM infrastructure, RAG, knowledge platforms, model evaluation, AI governance, prompt engineering standards, AI observability, and human-in-the-loop workflows
• Provide technical leadership across AWS, Kubernetes, containers, serverless, networking, APIs, event-driven architecture, microservices, IAM, IaC, CI/CD, and platform engineering
• Partner with Data Engineering on enterprise data architecture, governance, data quality, semantic layer, MDM, metadata, lakehouse, Snowflake, and data APIs
• Provide architectural oversight for Salesforce, member and provider portals, internal operations, integration platforms, APIs, and workflow automation
• Establish engineering standards for secure SDLC, architecture reviews, documentation, coding, AI-assisted development, testing, technical debt, developer productivity, and platform reliability
• Evaluate build-versus-buy-versus-partner decisions, vendors, emerging technologies, AI roadmap, platform investments, engineering productivity, technology risk, and innovation portfolio
• Advise executive leadership on technology investments, AI strategy, technical due diligence, architecture decisions, board presentations, and enterprise modernization

Senior Manager, Demand Generation Channels

AI Technical Program Management Intern – Part-time

Vice President, Architecture, AI