Fortell Research Inc

United States
50 Total Employees
Year Founded: 2021

Jobs at Fortell Research Inc

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YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Handle inbound calls and web leads to qualify prospects, schedule clinic appointments, and manage end-to-end lead lifecycle in Salesforce. Ensure accurate documentation, timely follow-ups, reduced no-shows, and high scheduling/conversion rates while partnering with clinics, audiology, and operations and maintaining privacy and data accuracy.
YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Drive commercial expansion for brick-and-mortar locations end-to-end: market research, site selection, lease support, launch coordination, stakeholder management, experiments on new service models, and data-driven recommendations. Regular travel to support launches and on-the-ground operations.
YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Serve as product expert for hearing aid customers, driving conversion and retention through intake calls, troubleshooting (Bluetooth/iPhone/Zoom), coaching, scheduling, documentation in Salesforce/Intercom, and collaborating cross-functionally to improve product and customer experience. Weekend and hybrid in-office coverage required.
YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Lead RF development and bring-up for ear-worn hearing aid products: design antenna and matching networks, optimize link budgets for Bluetooth/BLE/NFMI, collaborate on schematic and PCB layout (Altium), run RF simulation and bench/chamber testing (CST Studio and RF test gear), prototype and troubleshoot, and support production validation and regulatory testing.
YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Lead and maintain medical device quality systems including KPIs, audits, CAPA, design control, risk management, software release quality, international launch regulatory submissions, and eQMS implementation and validation.
YesterdaySaved
Hybrid
New York, NY, USA
Artificial Intelligence • Hardware • Healthtech • Machine Learning • Wearables
Own and build the companys core data models, pipelines, and semantic layer. Develop self-serve analytics, dashboards, and AI-ready data infrastructure. Build tools, maintain dbt models and ingestion pipelines, and deliver insights to leadership to improve product, clinical care, marketing, and operations.