Lendbuzz

Account Manager

• Identify and engage potential dealership partners to expand our network and increase market share in the automotive finance sector.
• Deliver exceptional support to existing dealer partners, ensuring their satisfaction and driving their success.
• Conduct in-depth market research to uncover trends and opportunities in automotive finance, and adjust strategies accordingly.
• Elevate brand visibility and awareness through strategic outreach and effective communication.

Dealership Account Manager

• Prospecting and Business Development: Identify and engage new dealership partners to expand our network, drive growth, and strengthen market presence in the automotive finance sector.
• Dealer Support and Relationship Management: Provide exceptional service and consultative support to dealer partners through on-site visits to ensure satisfaction, loyalty, and long-term success.
• Market Analysis: Analyze market trends and competitive insights to identify opportunities and guide strategic business decisions.
• Brand Promotion: Enhance brand visibility and reputation through targeted outreach, effective communication, and consistent representation of our values and offerings.

• Identify and engage new dealership partners to expand our network, drive growth, and strengthen market presence in the automotive finance sector.
• Provide exceptional service and consultative support to dealer partners through on-site visits to ensure satisfaction, loyalty, and long-term success.
• Analyze market trends and competitive insights to identify opportunities and guide strategic business decisions.
• Enhance brand visibility and reputation through targeted outreach, effective communication, and consistent representation of our values and offerings.

Machine Learning Engineer

• Annotate chat data from sales-dealers and customers to train AI chatbots
• Develop and refine prompts and Retrieval-Augmented Generation (RAG) technique cvg cant es to enhance the performance of zero-shot and few-shot language models (LLMs)
• Assess the needs of dealers and customers, and implement AI chatbot functionalities to address those needs
• QA and improve our live audio call AI agent

Machine Learning Engineer – Co-op

Financial Planning and Analysis

• Build machine learning and deep learning models based on financial and other modalities like images and text
• Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
• Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
• Design and develop robust, scalable pipelines and services using software engineering best practices
• Implement end-to-end solutions, including architecture design, business logic, and deployment
• Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
• Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Machine Learning Scientist, Financial Scoring

• Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience
• Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices
• Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic
• Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction
• Analyze model outputs, user interactions, and system performance to drive iterative improvements
• Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks
• Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle
• Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services
• Contribute to internal documentation, experimentation processes, and model evaluation frameworks

Software Engineer – Machine Learning, LLMs

Claims Specialist

• Assist clients in the initiation of auto insurance claims, providing guidance and support through the initial reporting process
• Follow up with insurance companies to check on status of claims and troubleshoot any hold ups / blockers in their processing
• Gather and review all necessary documentation related to insurance claims, including accident reports, policy details, and other relevant information
• Verify the accuracy and completeness of claims, ensuring they meet company and industry standards
• Serve as a primary point of contact for clients, insurance providers, and third parties involved in the claims process. Maintain clear and timely communication to keep all stakeholders informed
• Work with insurance providers to process claims efficiently and accurately, following up on any outstanding issues or discrepancies
• Provide exceptional customer support to clients, addressing their questions and concerns while ensuring a seamless claims experience
• Maintain detailed and organized records of claims, correspondence, and associated documentation
• Assist in the resolution of claims issues, including coverage disputes, repair estimates, and settlements
• Identify opportunities to enhance our claims process and provide feedback for process improvement

Insurance Claims Associate, Trilingual/Bilingual Preferred

Backend Engineer

• Design and deliver end-to-end features across backend services and frontend applications, with strong emphasis on backend architecture, data integrity, and system reliability.
• Develop and maintain SPA web applications for admin and product platforms using React + TypeScript and Next.js, including contributing to the modernization of legacy Ruby components.
• Develop and maintain backend services across Python (FastAPI) and Node.js (NestJS) microservices, ensuring strong performance, robust data management, and ongoing modernization efforts.
• Design, implement, and maintain reliable REST APIs with clear contracts, validation, and consistent error handling.
• Work with complex relational data models, continuously improving query performance and data reliability.
• Lead investigations and root-cause analysis for performance, optimization, and production-related issues, driving long-term improvements.
• Collaborate closely with frontend, backend, QA, and product teams in a multi-repo environment, including active code reviews and cross-site collaboration with our Boston engineering team.
• Take ownership of code quality and production stability by writing automated tests (e.g., pytest, Jest) and driving issues from investigation through resolution and prevention.

Full-Stack Engineer, Backend Oriented

IT Support

• Lead, mentor, and grow a high-performing IT team (help desk, sysadmins; onsite & remote)
• Build the IT roadmap (12–18 months) aligned to business goals, security posture, support scale and enterprise readiness, and compliance needs
• Own IT budget, vendor management, and license utilization
• Run ITIL-aligned ITSM (incident, request, problem, change); maintain clear SLAs/OLAs and reporting
• Oversee global onboarding/offboarding, joiners-movers-leavers automation, and asset lifecycle
• Drive knowledge base, self-service, and automation to reduce MTTR and ticket volume
• Own identity & access management (e.g., Okta/Azure AD), MFA/SSO policies, lifecycle/role mapping
• Manage macOS/Windows endpoints via MDM (e.g., Kandji/Jamf, Intune) with baselines and zero-touch
• Enforce device compliance, patching, EDR, disk encryption, and secure configurations
• Govern SaaS portfolio (e.g., Google/Microsoft 365, Slack, Zoom, Atlassian, HRIS, CRM)
• Implement access reviews, least-privilege policies, app hygiene, and data retention/backup strategies
• Own corporate networking (LAN/WAN/Wi-Fi, SD-WAN, VPN/ZTNA), meeting rooms, and print services
• Ensure reliable IT facilities for Boston HQ, Tel Aviv office and remote sites
• Partner with Security on standards (SOC 2, SOX, GLBA, etc), audits, and evidence collection
• Maintain IT controls: configuration management, change control, backups, DR testing, access reviews, and logging
• Lead IT’s role in BCP/DR and incident response; manage vendor risk for IT suppliers

Senior IT Manager

Administration

• Administer and maintain the Genesys CX Cloud platform, including users, roles, skills, queues, permissions, and system configurations.
• Serve as the first line of defense for platform issues, managing tickets and escalations with Genesys Support when necessary.
• Partner with the Product Team to define flow requirements and perform thorough UAT to ensure operational readiness for continued strategic developments.
• Own dialer configuration, campaign management, pacing, and compliance settings.
• Execute and optimize multi-channel campaigns (voice, digital, AI) to ensure operational performance aligns with strategic business initiatives.
• Optimize contact center performance in a blended environment to ensure achievement of both inbound and outbound KPIs.
• Oversee the automated and manual importing of contact lists, ensuring data integrity and correct mapping of contact information.
• Translate contact center data into actionable insights and strategic recommendations.
• Ensure adherence to regulatory and compliance guidelines related to outbound calling.
• Lead workforce management (WFM) configuration and optimization, including forecasting, scheduling, intraday management, and adherence tracking.
• Actively monitor real-time adherence and shrinkage, partnering with operations supervisors to correct issues and adjusting for optimal output and SLA performance.
• Develop and maintain multi-channel forecasts using Genesys Cloud WEM tools to predict volume and appropriate staffing levels.
• Document contact center processes and changes to maintain operational transparency and continuity.
• Collaborate with Operations, Product, IT and Leadership teams on platform enhancements, system changes, and continuous strategic improvement initiatives.

Dialer Administrator

Manager

• Own territory expansion strategy — identifying sub-markets, high-opportunity dealership partners, and long-term growth channels.
• Hire, mentor, and elevate a team of Dealership Account Managers, building a performance-driven culture rooted in accountability, resilience, and partnership excellence.
• Serve as a senior relationship builder for key dealership partners, providing consultative support and reinforcing a high-touch, service-first experience.
• Model best-in-class selling and partnership behavior in the field, while ensuring your team is consistently executing against volume and quality targets.
• Translate field insights into strategy — providing market feedback to senior leadership, helping shape competitive positioning and local playbooks.
• Collaborate with underwriting, credit, and internal sales partners to ensure seamless execution and a unified dealership experience.

Market Development Manager

• Prospecting and Business Development: Identify and engage new dealership partners to expand our network, drive growth, and strengthen market presence in the automotive finance sector
• Dealer Support and Relationship Management: Provide exceptional service and consultative support to dealer partners through on-site visits to ensure satisfaction, loyalty, and long-term success
• Market Analysis: Analyze market trends and competitive insights to identify opportunities and guide strategic business decisions
• Brand Promotion: Enhance brand visibility and reputation through targeted outreach, effective communication, and consistent representation of our values and offerings

Compliance

• Coordinate regulatory examinations by preparing the initial request list documentation, compiling loan files, and responding to additional requests.
• Manage regulatory complaints, including conducting thorough investigations, gathering all necessary documentation, and preparing timely, well-supported responses.
• Support compliance audits by coordinating responses to initial request list documentation, compiling loan files and addressing and escalating follow up requests.
• Assist in the maintenance and revision of company compliance policies and procedures.
• Execute internal controls testing, assisting in the identification of risks within the organization, testing associated controls, and reporting on the results.

Dealership Account Manager

Dealership Account Manager

Dealership Account Manager

Machine Learning Engineer – Co-op

Machine Learning Scientist, Financial Scoring

Software Engineer – Machine Learning, LLMs

Insurance Claims Associate, Trilingual/Bilingual Preferred

Full-Stack Engineer, Backend Oriented

Senior IT Manager

Dialer Administrator

Market Development Manager

Dealership Account Manager

Dealership Account Manager

Compliance Specialist

Dealership Account Manager