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We are seeking a detail-oriented and highly organized Bankruptcy Coordinator to manage the end-to-end legal and administrative processes related to customer bankruptcy filings. In this full-time remote role, you will serve as the primary point of contact between the company, legal counsel, and bankruptcy courts to ensure our interests are protected and all regulatory requirements are met.
Case Management: Monitor and track bankruptcy notifications (Chapter 7, 11, and 13) from initial filing through discharge or dismissal.
Documentation: Prepare and file Proof of Claims (POC), Reaffirmation Agreements, and Motions for Relief in a timely and accurate manner.
Account Maintenance: Update internal systems to restrict collections activity, adjust interest rates, and flag accounts in compliance with the automatic stay.
Communication: Coordinate with outside counsel, bankruptcy trustees, and debtors' attorneys to negotiate payment plans and resolve outstanding issues.
Financial Oversight: Monitor Chapter 13 trustee payments and ensure funds are applied correctly to customer accounts.
Compliance: Maintain up-to-date knowledge of federal and state bankruptcy laws to ensure all actions remain in full legal compliance.
Experience: Minimum of 2–3 years of experience in bankruptcy processing, legal clerking, or debt recovery.
Legal Knowledge: Strong understanding of U.S. Bankruptcy Code (specifically Chapters 7 and 13).
Technical Skills: Proficiency with bankruptcy software (e.g., PACER, NDC) and standard office suites (Microsoft Excel, Google Workspace).
Communication: Exceptional written and verbal communication skills for professional correspondence with legal entities.
Remote Setup: Ability to work independently in a remote environment with a high degree of self-motivation and a secure home office setup.
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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We’re looking for a Senior SRE to join our Infrastructure team in Tel Aviv. If you love digging deep into distributed systems, optimizing production environments, and building the automation that keeps everything running smoothly at scale, we’d love to talk.
Own the reliability, availability, and performance of our production environment.
Lead high quality effort and long term solutions that will improve stability and resiliency of our production environments.
Work closely with dev teams to review architecture, influence system design, and ensure services are built to be observable and scalable.
Handle capacity planning, system tuning, and infrastructure cost/performance optimization.
Maintain and improve our GitOps-driven deployment pipelines.
7-8+ years of hands-on experience in an SRE or DevOps role, managing production environments at scale.
Deep experience with AWS (architecture, security, and best practices).
Strong programming skills in Python, Go, or TypeScript.
3+ years working with Infrastructure as Code - AWS CDK or Terraform.
Production experience with Kubernetes (EKS) and microservices architecture.
Hands-on experience with CI/CD and GitOps tools (GitHub Actions, ArgoCD).
Good communication skills in English and Hebrew.
Experience setting up or managing observability stacks (Datadog, Coralogix, Prometheus, Grafana).
Experience with Crossplane or advanced Helm usage.
Background working in a SaaS company.
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We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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We are looking for an experienced and passionate Data Engineer to join the Data Engineering Team in our rapidly growing TLV R&D site!
You will be instrumental in maintaining current pipelines and expanding our data semantic layer to support both traditional analytics and our future AI/ML initiatives.
Responsibilities include working alongside developers from the BI and Backend teams, architects and business decision makers in order to implement data pipelines and improve data architecture and infrastructure.
The Data Engineering Team in Lendbuzz focuses on building long term, scalable self-service solutions for the organizational growing data needs.
Design & Build Robust Pipelines: Develop, deploy, and maintain scalable, highly reliable, and idempotent ELT data pipelines using Python and orchestration tools like Airflow.
Own the Data Model: Lead data transformation and modeling efforts within our cloud data warehouse (e.g., Snowflake, AWS) using dbt, ensuring adherence to modern analytics engineering best practices (modularity, DRY principles, and clear separation of staging and data marts).
Expand the Semantic Layer: Architect and grow our centralized semantic layer to establish a "single source of truth" for business metrics, powering both traditional BI dashboards and upcoming AI initiatives.
Champion Data Quality & Reliability: Implement rigorous data validation, testing, and monitoring to ensure data integrity and build trust with downstream consumers.
Enable Self-Service Analytics: Design intuitive, long-term data infrastructure solutions that empower business stakeholders, analysts, and developers to easily and independently query organizational data.
Cross-Functional Collaboration: Partner closely with Backend developers, BI analysts, architects, and business decision-makers to translate complex business requirements into efficient technical architectures.
Bachelor’s degree in CS or other relevant field.
3+ years of proven experience as a Data Engineer, Analytics Engineer, or similar role.
Strong proficiency in Python, particularly for data processing and pipeline orchestration.
Experience in Data Modeling using dbt or equivalent.
Experience with Data Warehouse technologies like Snowflake, BigQuery, Redshift ,etc.
Experience with Orchestration platforms like Airflow, Luigi, Dagster, etc.
Experience with Semantic Data Layer technologies like MetricFlow, Cube or others.
Experience in working and delivering end-to-end projects independently.
Experience with at least one cloud provider, preferably AWS.
Strong written and verbal skills in Technical English.
Experience with ELT platforms like dlt, Fivetran, Airbyte, etc.
Experience with Data Validation and Testing using dbt, Great Expectations or others.
Familiarity with DB internals, design considerations and management.
Familiarity with containerized deployments with K8s.
Familiarity with Event Streaming platforms like Kafka, Redpanda, etc.
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Administer Jira Cloud and Jira Service Management including workflows, permission schemes, screens, issue types, fields, automations, SLAs, queues, request portals, approvals, and reports.
Support and maintain integrations between Jira and tools such as GitHub, Slack, Google Workspace, and other business systems.
Administer Google Workspace, including user provisioning, Gmail, Drive, Calendar, Groups, Meet, shared drives, security settings, and access policies.
Provide technical support for macOS devices, business applications, SaaS tools, authentication, account access, and employee technology needs.
Manage the full employee lifecycle onboarding, offboarding, and role changes including device preparation, software installation, account management, and access provisioning.
Maintain accurate IT asset records, including laptops, accessories, software licenses, and device ownership.
Own IT documentation and knowledge base, including SOPs and troubleshooting guides.
Own the administration, support, and maintenance of company SaaS platforms - evaluating, onboarding, and managing third-party tools as the business grows.
Support IT security practices including MFA enforcement, access reviews, device compliance, and least-privilege access.
Associate’s or Bachelor’s degree in Information Technology, Computer Science, Information Systems, or equivalent professional experience.
4+ years of experience in IT support, IT operations, systems administration, or SaaS administration.
Hands-on experience administering Jira Cloud, including workflows, permissions, screens, fields, automations, dashboards, and reporting this is a core requirement.
Strong knowledge of Jira Service Management and ITSM concepts: request management, incident management, SLAs, queues, approvals, and service portals.
Experience administering Google Workspace, including user provisioning, groups, shared drives, and security/access policies.
Strong working knowledge of macOS setup, support, troubleshooting, and application management.
Solid understanding of user access management, account lifecycle, permissions, and basic security practices.
Self-directed, detail-oriented, and able to manage a ticket queue independently in an on-site environment.
Experience with Okta for SSO, MFA, user provisioning, lifecycle management, and access policies.
Experience with Jamf or another MDM platform for macOS device management.
Familiarity with Apple Business Manager.
Experience with Atlassian Marketplace apps such as ScriptRunner, Assets/Insight, Tempo, or similar.
Familiarity with security or compliance frameworks such as SOC 2 or ISO 27001.
Basic networking knowledge: DNS, DHCP, VPN, TCP/IP.
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We are a dynamic and growing floorplan financing company specializing in providing flexible credit solutions for automotive dealers. We are committed to helping dealers grow their businesses while managing risk effectively. As a Credit Underwriter, you will play a crucial role in our success by ensuring that credit decisions align with our risk management policies while fostering strong relationships with our sales team and dealer network.
We are seeking a highly detail-oriented and analytical Credit Underwriter to join our team. The ideal candidate will have experience in credit analysis, a strong understanding of UCC filings, and the ability to communicate effectively with both sales teams and dealers. Familiarity with the automotive industry is a plus. This role reports directly to the Director of Floorplan Financing.
Review incoming applications and ensure completeness of all required documents and information
Analyze bank statements, credit files, and supporting documentation to assess credit risk
Manage pending applications by following up on missing items and helping move deals through the process
Support credit decisions by preparing files, summarizing key details, and applying company guidelines
Communicate approvals and outline next steps, including any required stipulations
Partner with internal teams and sales representatives to provide updates and address questions
Maintain organized, accurate deal files throughout the underwriting process
Assist with additional operational tasks as needed, including contract preparation, UCC filings, and administrative support
Bachelor’s degree in Finance, Accounting, Business Administration, or a related field.
3+ years of experience in credit underwriting, preferably within the automotive or floorplan financing industry.
Proficiency in reading and interpreting credit reports (e.g., Experian) and financial statements.
Strong understanding of UCC filings, PMSIs, and other secured lending practices.
Knowledge of the automotive industry and dealership operations is a plus.
Experience with DecisionLogic or similar bank verification tools preferred.
Attention to Detail: Ability to identify discrepancies and inconsistencies in financial documents and credit reports
Analytical Skills: Strong ability to evaluate risk, assess creditworthiness, and make informed decisions
Communication Skills: Capable of conveying credit decisions clearly to sales teams and dealers
Relationship Building: Skilled in fostering positive relationships with internal and external stakeholders
Problem-Solving: Creative thinker who can navigate complex credit situations while balancing risk and opportunity
Technical Proficiency: Advanced skills in Excel, CRM systems, and credit analysis tools
Adaptability: Comfortable working in a fast-paced environment with changing priorities
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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Lendbuzz is a fintech startup founded in 2015 by MIT alumni using cutting-edge machine learning to revolutionize vehicle financing and change the way deserving borrowers access credit. We are in full scale-up mode with backing from great investors, having recently raised our Series D. We are growing rapidly, and we need your help. Come join us!
Join Lendbuzz, where we're shaping the future of auto finance with AI. As a Product Manager for Contact Center Strategy, you'll be at the forefront of crafting our contract center strategy and technology. You'll enhance self-service options, improve customer interactions, and drive innovation. Your role isn't just about products; it impacts every part of our business, with endless opportunities for growth. Come thrive in our dynamic environment, leading the way in AI and machine learning for auto finance. This position offers the flexibility of being hybrid, allowing work either in our Boston office or remotely, with occasional travel to our Boston office as necessary
Craft a contact center vision and strategy that’s aligned with tech and operational leaders
Orchestrate a holistic, scalable contact center solution that maximizes customer experience while increasing efficiency
Create a digital-first strategy shifting call volume intelligently towards digital channels for maximum impact and ROI
Align with leadership on key business metrics for collections and customer care
Optimize outbound campaigns leveraging ML/Predictive modeling to improve right party contacts rates as well as payment outcomes
Collaborate with operations teams on supporting workforce management systems
Partner closely with engineering to drive the creation, planning, prototyping, and development of products and features in support of key product metrics and goals
Foster strong relationships with subject matter experts, analysts, data scientists, and technology teams across Lendbuzz
Own, prioritize and maintain the product backlog
Analyze and articulate insights from data to inform product roadmap decisions and drive alignment across functions and senior leadership
Break down features into detailed stories and acceptance criteria that can be executed by an agile team. Find ways to deliver value incrementally.
Effectively communicate to a wide business audience project status and post-launch measurement of progress
6+ years of experience in Product Management roles
5+ years of experience in contact center technologies
Proven ability to scope and author comprehensive business and technical product requirements.
In-depth knowledge of Scrum, Kanban, or other agile software development methodologies
Significant experience running inbound and outbound campaigns a must
Strong project management skills, with a keen attention to detail and ability to manage projects of varying sizes and scopes
Passion for product development, data science, and the intersection of software and finance, with additional experience in financial markets or the automotive industry being a plus.
Ability to collaborate effectively across functional groups with adaptability and empathy
Proven ability to prioritize and manage multiple complex work streams simultaneously, ensuring efficient and effective project execution.
Demonstrated capability to prioritize and manage multiple complex work streams simultaneously, ensuring efficient and effective project execution
Strong communication skills for providing clear direction and motivating project teams effectively
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.
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
Ph.D in Computer Science, Statistics, Mathematics or a related field
2+ years of relevant industry or postdoc experience
Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
Deep understanding of machine learning models and algorithms
Deep understanding of probability and statistics
Strong data analysis skills and experience working with messy real world data
Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn
Excellent communication skills
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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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, multi-channel 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 with special focus on use of AI-enabled initiatives.
Establish and lead a team of analysts overseeing contact strategies and outbound campaign Management, Workforce Engagement Management (WEM) and general Genesys administration.
3-5 years of experience administering the Genesys Cloud CX platform.
Demonstrated experience configuring and maintaining Genesys WFM and Outbound Dialing modules.
Strong understanding of contact center forecasting, scheduling logic, and real-time adherence tracking.
Proven track record of transitioning AI-driven solutions from initial pilot to stabilized, high-volume production environments.
Working knowledge of compliance and regulatory protocols (TCPA, FDCPA, STIR/SHAKEN, etc.)
Proficiency in Google Sheets and/or MS Excel and advanced ability to translate data into actionable and strategic recommendations.
Detail-oriented with strong organizational and problem-solving skills.
Excellent communication and collaboration skills.
Preferred: Experience in the auto lending industry or financial services.
Preferred: Genesys Cloud CX Professional (GCP) or Specialist certifications.
Outstanding organizational skills
Excellent written and verbal communication skills
High level of integrity
Strong sense of teamwork, yet able to work independently
Self-motivated and able to work with minimal supervision
Works well in fast pace, high-volume environment
Excited by the idea of constant change
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
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We are looking for a Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where you’ll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.
As a Cloud Engineer at Lendbuzz, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:
Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.
Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.
Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.
Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.
Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.
Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.
Bachelor's degree in Computer Science or equivalent experience.
3+ years of experience in DevOps/Software Engineering working in one or more of the big public clouds (AWS / Azure / GCP).
2+ years of experience managing Infrastructure-as-Code (Terraform / AWS CDK / CloudFormation).
Basic understanding of Cloud Networking concepts (VPC peering, Subnetting, Load Balancing, DNS).
Familiarity with Kubernetes components (Control Plane, Worker Nodes, ETCD) and standard maintenance routines (upgrades, scaling, node patching).
Knowledge of AWS common best practices—design, implement, and maintain scalable and reliable cloud infrastructure solutions.
Hands-on coding/scripting skills in TypeScript/Python/Golang and Linux Bash.
Experience with microservices methodology, Git, and CI/CD (preferably GitHub Actions & ArgoCD).
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in both English and Hebrew.
Experience setting up Kubernetes clusters from scratch.
Experience with Helm and Service Mesh technologies (e.g., Istio).
Experience with observability platforms (e.g., Datadog, ELK, CloudWatch, Prometheus/Grafana).
Experience developing Kubernetes Operators.
Familiarity with Crossplane.
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