voize

Engineering Manager

• Hire, mentor, and develop a high-performing engineering team
• Foster an inclusive, high-trust culture and support career growth
• Align technical direction with product and company strategy
• Ensure high-quality, scalable, and reliable software delivery
• Optimize developer experience, tooling, and workflows
• Oversee project execution, meeting deadlines and business impact goals
• Collaborate closely with ML, Product and Data

Engineering Manager – Hospital

Revenue Operations

• Own and continuously improve the revenue tech stack (HubSpot as core CRM); ensuring data quality, automation, and adoption across all GTM teams
• Build and maintain revenue forecasting models, pipeline reporting, and executive dashboards that drive business decisions
• Support territory planning, quota-setting, and compensation plan design, in partnership with Sales leadership and Finance.
• Align GTM leadership and hold them accountable for reaching their targets and process adherence.
• Drive automation across all GTM teams and enable all GTM team members to 10x the outcome of their work.

Revenue Operations Lead

Artificial Intelligence

• Monitor and optimize AI performance by spotting patterns in AI and human-assist conversations, tracking failure modes, confusion clusters, and quality drift, then triaging issues like a product backlog
• Build AI-ready knowledge by creating and maintaining support content that enables Fin to answer accurately and consistently, reducing knowledge debt and structuring content for AI consumption
• Design clear, trustworthy conversations by defining voize's AI voice and interaction style, refining high-value conversation flows, and ensuring smooth handoffs to human agents
• Create safe automations by building workflows that let AI complete tasks beyond answering questions, partnering with Product and Engineering to expand automation coverage
• Own AI support KPIs including AI resolution rate, deflection, CSAT, escalation rate, and time saved, with clear reporting and a weekly review cadence

AI Support, Knowledge Manager

Learning and Development

• Train the Trainer: Lead online and onsite sessions, empowering voize coaches at our clients to deliver effective training to larger groups.
• Deliver dynamic training: Facilitate engaging and motivating training sessions for caregivers to activate the product quickly.
• Collaborate with cross-functional teams: Work closely with Support, Product, and Customer Success teams to solve onboarding challenges and provide real-time feedback.
• Monitor training effectiveness: Track user adoption and revisit training for groups with low engagement.
• Create and optimize training materials: Continuously update and improve training content based on feedback and onboarding friction.
• Onsite visits: Conduct visits for low adoption cases to re-engage users and support them on-site.

Customer Training Manager

Compliance

• Own the regulatory roadmap for current and future markets, and translate requirements into clear plans and priorities.
• Build and scale a pragmatic compliance program (policies, controls, monitoring, training) across the company.
• Lead audits and certifications (e.g., ISO 27001, C5) and drive customer compliance reviews and due diligence.
• Shape medical device and AI governance (EU MDR and FDA exposure; EU AI Act alignment), including risk management and documentation.
• Partner with Product, Engineering, and GTM to embed compliance into day-to-day decision-making and enable customer-facing teams.

Engineering Manager – Hospital

Revenue Operations Lead

AI Support, Knowledge Manager

Customer Training Manager

Head of Compliance & Regulatory