
1001 - 5000 Mitarbeiter
Gegründet 2011
🤝 B2B
🤖 Künstliche Intelligenz
🏥 Gesundheitswesen
💰 €230.000.000 Series D im 2021-08
B2B • Artificial Intelligence • Healthcare
Talkdesk® ist ein globaler Marktführer für Cloud-Contact-Center-Lösungen für Unternehmen jeder Größe. Talkdesk CX Cloud und die Industry Experience Clouds helfen Unternehmen, modernen Kundenservice auf ihre Weise bereitzustellen. Unsere zuverlässige, flexible und innovative Contact-Center-Plattform nutzt KI und Automatisierung, um außergewöhnliche Ergebnisse für ihre Kundschaft zu erzielen und die Profitabilität zu steigern. Erfahren Sie mehr und starten Sie eine selbstgeführte Demo unter www.talkdesk.com.
🕒 vor 10 Tagen
🇺🇸 Vereinigte Staaten – Remote
💵 $210.000 - $250.000 / Jahr
⏰ Vollzeit
🟡 Mittelstufe
🟠 Senior
✅ Produktmanager
🦅 H1B-Visum-Sponsor
🗣️🇺🇸🇬🇧 Englisch erforderlich
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1001 - 5000 Mitarbeiter
Gegründet 2011
🤝 B2B
🤖 Künstliche Intelligenz
🏥 Gesundheitswesen
💰 €230.000.000 Series D im 2021-08
B2B • Artificial Intelligence • Healthcare
Talkdesk® ist ein globaler Marktführer für Cloud-Contact-Center-Lösungen für Unternehmen jeder Größe. Talkdesk CX Cloud und die Industry Experience Clouds helfen Unternehmen, modernen Kundenservice auf ihre Weise bereitzustellen. Unsere zuverlässige, flexible und innovative Contact-Center-Plattform nutzt KI und Automatisierung, um außergewöhnliche Ergebnisse für ihre Kundschaft zu erzielen und die Profitabilität zu steigern. Erfahren Sie mehr und starten Sie eine selbstgeführte Demo unter www.talkdesk.com.
• Serve as the primary Product point of contact and trusted advisor for a portfolio of health system clients, including owning relationships across clinical informatics, IT, and operations stakeholders, often working alongside C-suite sponsors. • Lead structured discovery engagements - interviews, workflow mapping, shadowing, and document analysis - to surface automation opportunities and unmet clinical or administrative needs. • Define the "art of the possible" for each client, helping them connect their operational pain points to our AI platform capabilities. • Review the pre-sales Statement of Work drafted by the Solution Architect to confirm scope, feasibility, and design alignment before it is signed by the customer. • Translate real-world workflows - scheduling, patient outreach, referral management, prior authorizations, billing follow-up - into structured product and configuration requirements, in collaboration with Forward Deployed Engineers (FDEs), Applied ML, and Solution Engineers. • Own the quality, consistency, and completeness of the Autopilot design and specification documents that serve as the handoff to engineering. • Define the business success metrics for the engagement (time-to-value, call deflection, scheduling conversion, cost per contact) with the client. • Enforce scope discipline during UAT - route requests outside the agreed design doc and SOW to the Sales/Account team so that they follow change order processes, rather than absorbing them into the current engagement. • Own 0→1 deployments end-to-end (from pilot kickoff through go-live): manage timelines, stakeholder communication, change management, and the iteration cycle to production-ready deployments. • Generate test criteria from build artifacts and conduct manual validation (e.g., live call testing) before approving customer UAT. • Drive customer UAT to completion as efficiently as possible, including on-site travel for strategic or marquee accounts to accelerate UAT and fine-tuning. • Monitor deployed Autopilots post-launch by using observability tooling, evaluating performance, and driving resolution of issues that surface. • Ensure clients and Customer Experience Managers (CXMs) can successfully measure business success metrics for the deployment before handing ongoing success measurement to the CXMs. • Document ROI proof points and case-for-scale narratives at go-live and deployment milestones; hand off to CXMs to drive expansion and renewal. • Surface reusable patterns and high-priority gaps from field deployments to the core product roadmap, partnering with FDEs, ML engineers, and product leadership to turn client-specific work into productized features. • Contribute to internal knowledge bases, playbooks, and templates that systematize the FDAPM practice as we scale.
• 5+ years of experience in healthcare technology, with hands-on exposure to provider operations in one or more of the following domains: Patient Access (scheduling, referrals, prior auth), Care Management (outreach, care coordination, transitions of care), or Revenue Cycle (billing, collections, denial management, coding). • Demonstrated experience in a client-facing delivery role - implementation, technical project management, solution consulting, or customer success - where you owned outcomes, not just activities. • Ability to quickly understand and map complex clinical and administrative workflows, then distill them into structured requirements and prioritized problem statements. • Strong written and verbal communication skills; able to present to VP/C-suite health system stakeholders and translate between clinical, operational, and technical audiences. • Comfortable operating in ambiguity and whitespace; you default to action and bring structure to uncertainty. • Experience with agentic workflows and a strong curiosity about AI and automation; you don't need to be an engineer, but you must be genuinely excited by what AI can do in healthcare and eager to develop deep product fluency in this space. • Willingness to travel up to 25–35% to client sites for discovery, UAT, go-live support, and executive meetings.
• Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP). • 401(k) plan • uncapped paid time off program for exempt employees • accrual-based program for non-exempt employees • Talkdesk offers 14 paid holidays each year. • uncapped paid time off for exempt employees and accrual standards for non-exempt sick leave
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