Top Tech Jobs & Startup Jobs

Lead and develop Directors of Sales to execute regional strategy at district and market levels, drive sales and P&L results, strengthen dealer relationships, enforce financial discipline, coach leaders, manage performance, and partner cross-functionally. Requires heavy travel and ownership of market execution and organizational health.

Lead FP&A strategy, budgeting, forecasting, financial modeling, management reporting, and analytics. Advise CFO and executives on capital allocation, M&A evaluation, and performance improvement while building a high-performing FP&A team and advancing finance technology and AI-enabled decision support.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Technical leader who designs, builds, and scales enterprise software across multiple applications. Drives architecture and coding standards, authors tests and documentation, debugs production issues, leads code reviews, mentors engineers, participates in Agile deliveries and on-call rotation, and collaborates with U.S. business partners.

Design, build, test, and ship production AI-enabled software and reusable components for enterprise workflows. Implement context-aware agentic systems, integrate models and APIs, write unit tests, debug production issues, lead code reviews, mentor engineers, participate in on-call rotation, and collaborate with U.S. business partners while working remotely from India.

Senior individual contributor owning AI/ML products end-to-end: discover opportunities, define roadmaps, make build-vs-buy decisions, lead vendor evaluations and cross-functional delivery, monitor KPIs and operational signals, and drive continuous improvement and adoption.

Design, develop, implement, and monitor statistical and machine learning models to support credit risk, collections, servicing, marketing, and forecasting. Build data pipelines, translate business needs into analytical solutions, support model governance, testing, deployment, and ongoing performance monitoring, and communicate results to stakeholders.

Lead development and deployment of predictive and ML models for credit risk, collections, and operations. Mentor data scientists, promote MLOps and modern tools, present insights to stakeholders, and drive experimentation with techniques such as causal inference and GenAI.

Lead accounting and financial reporting teams to produce accurate GAAP and non-GAAP financial statements, SEC filings, and SOX 404-compliant controls; provide executive financial analysis, implement accounting policies, support audits, and drive finance technology and process improvements.