Kafene

HQ
New York, New York, USA
101 Total Employees
6 Product + Tech Employees
Year Founded: 2019

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Recently posted jobs

3 Days AgoSaved
In-Office or Remote
Pittsburgh, PA, USA
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
The Business Development Manager at Kafene is responsible for identifying and onboarding retail partners, expanding Kafene's presence in targeted industries through strategic outreach, sales activities, and collaboration with internal teams.
6 Days AgoSaved
In-Office or Remote
Richmond, VA, USA
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
The Business Development Manager will drive growth by onboarding new retail partners, conducting sales activities, and collaborating with teams to meet targets.
8 Days AgoSaved
In-Office
New York, NY, USA
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
The IT Administrator will manage technology infrastructure, provide technical support, optimize system performance, and ensure compliance and security across the organization.
16 Days AgoSaved
In-Office or Remote
Panama City, Panamá, PAN
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
Lead a collections team to recover outstanding accounts, monitor performance metrics, develop collection strategies, and ensure compliance with laws.
24 Days AgoSaved
In-Office or Remote
Louisville, KY, USA
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
The Business Development Manager at Kafene drives growth by onboarding new retail partners, executing sales strategies, and collaborating with internal teams to enhance product offerings.
25 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Fintech • Payments • Retail • Financial Services • Big Data Analytics
The Risk Pricing Manager develops data-driven pricing strategies to optimize profitability, collaborating with various teams to enhance pricing models and performance.