Lendbuzz

HQ
Boston
Total Offices: 4
148 Total Employees
Year Founded: 2018

Jobs at Lendbuzz

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YesterdaySaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
The Senior IT Manager will lead the IT department, develop strategies, manage a team, and ensure IT initiatives support business growth. Responsibilities include IT operations, security compliance, and managing IT resources across locations.
3 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Serve as the dedicated HR partner for US-based tech teams, managing the full employee lifecycle, coaching managers, leading org design and performance calibration, administering Paylocity, performing HR data analysis and reporting, and driving strategic HR initiatives.
4 Days AgoSaved
In-Office
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Lead a 10+ person vehicle title team to achieve operational excellence by developing KPIs, monitoring daily performance, coaching staff, ensuring DMV compliance, managing distributed (in-office, remote, offshore) workflows, analyzing Salesforce and Google Sheets data, and coordinating cross-functionally to resolve bottlenecks and optimize processes.
7 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
The Software Engineer will develop backend systems and APIs, design architecture, and work on event-driven microservices, impacting user experiences and product releases.
13 Days AgoSaved
In-Office
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
The Instructional Lead, Sales Talent & Development at Lendbuzz will design and deliver training for the sales team, enhancing their skills and performance through engaging content and effective facilitation.
15 Days AgoSaved
Hybrid
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
The Machine Learning Scientist will build and integrate ML models, analyze data, design scalable pipelines, and ensure robust model testing.
19 Days AgoSaved
In-Office
Boston, MA, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Provide on-site first-line IT support at the Boston HQ: provision hardware, manage Google Workspace access, onboard/offboard users, troubleshoot Windows and macOS devices, maintain Zoom Rooms and AV, support LAN/Wi-Fi and printers, document tickets, escalate complex issues, and assist with IT projects and rollouts.
9 Hours AgoSaved
Remote or Hybrid
USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Manage auto insurance claims by assisting clients with claim initiation, gathering and verifying documentation, following up with insurers, communicating with stakeholders, maintaining organized records, resolving disputes, and identifying process improvements to maximize recoveries and customer satisfaction.
3 Days AgoSaved
Remote
Massachusetts, USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Lead and grow the market by building a field sales team, developing dealer relationships, and creating market intelligence to drive regional growth.
14 Days AgoSaved
Remote
2 Locations
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Lead end-to-end payment product experiences, partnering with engineering and stakeholders to design, prototype, and deliver payment features and integrations. Define payment KPIs, analyze quantitative and qualitative data to inform roadmaps, manage integrations with processors/gateways/banks, and optimize reconciliation, dispute management, and transaction monitoring across borrower, dealer, underwriting, and customer service workflows.
17 Days AgoSaved
Remote
USA
Artificial Intelligence • Big Data • Machine Learning • Analytics • Financial Services
Administer and optimize Genesys Cloud CX and WFM/dialer systems for a high-volume blended contact center. Manage campaigns, forecasting, scheduling, real-time adherence, compliance, UAT, data imports, and cross-team improvements to drive KPI performance and regulatory compliance.