Vida Health

Marketing

• Build and manage end-to-end Braze campaigns and Canvases across email, SMS, push, in-app messaging, webhooks, and content cards, including complex audience segmentation and experiment design.
• Lead data integration and pipeline development by optimizing DBT and BigQuery data models, configuring custom attributes and events, and managing reliable real-time data syncing between the data stack and Braze.
• Own data quality and integrity across the MarTech ecosystem, including regular maintenance, merging records, resolving data issues, and ensuring accuracy across campaign performance and reporting.
• Drive analytics and reporting using Braze's native tools alongside BigQuery and SQL, delivering insights that inform lifecycle strategy and omnichannel campaign optimization.
• Serve as a technical MarTech partner to member operations and data teams, helping architect a scalable, future-proof foundation for personalization, automation, and advanced analytics.
• Additional responsibilities as assigned/needed.

Marketing Automation Tech Specialist

Product Manager

• Own the configuration platform backlog: prioritize what gets built, define it clearly, ship it and measure.
• Translate operational input from client success, operations and clinical teams into clean, right-sized product work that doesn't slow down implementation or degrade member experience quality.
• Deliver new features across the platform's vertical domains (program setup, eligibility, content configuration, clinical protocol settings, billing rules) based on operational urgency and technical dependencies.
• Own quality, triage bugs, track reliability and hold the bar for internal users who depend on this platform every day to do their jobs.
• Keep engineering moving: unblock delivery, make tradeoffs explicit and close the loop between what's scoped and what ships.
• Use AI tools like Claude Code to prototype platform concepts, scaffold UI and put working software in front of internal users to validate ideas before engineering resources are committed.
• Work with engineering to identify which components are good candidates for AI-assisted development.
• Compress the concept-to-feedback cycle.
• Define what good looks like for this platform: time-to-configure, error rates, support ticket volume and internal user adoption. Then build the dashboards and own the measurement.
• Dig into internal user behavior- where are the workarounds, the drop-offs, the broken workflows and support requests?
• Use data to make the case for what gets prioritized next.
• Spend real time with ops and client success teams to understand the workflows you're replacing.
• Coordinate with the member experience PM team so configuration changes don't create surprises on the member-facing side.
• Partner with clinical teams on protocol configuration- safety and quality are non negotiable.
• Make build-vs-configure decisions with engineering and push the architecture toward future vertical expansion.

Product Manager – Client Experience

Accountant

• Perform monthly billing operations including claims reconciliation, account reconciliation and revenue review and validation.
• Contribute to the revenue cycle process, including claims submission, QA, payment posting and AR follow-up.
• Serve as a point of contact for clients; participating in onboarding calls, monthly check-ins and responding to billing questions.
• Collaborate with Sales, Product, Data and Client Success teams on RFPs, internal process updates and issue resolution.
• Additional duties as assigned.