Top Tech Jobs & Startup Jobs

Lead finance and accounts operations including budgeting, forecasting, reporting, FCRA compliance, donor reporting, bookkeeping, Tally ERP management, taxation/GST, audits, voucher/vendor management, reconciliations, and payroll support.

Lead design and development of scalable Java backend systems and microservices. Architect distributed systems, enforce engineering best practices, mentor engineers, optimize performance using strong data structures and algorithms, troubleshoot production issues, and collaborate with product and DevOps to deliver high-quality solutions.

Design, develop, and maintain scalable backend services using Node.js and related frameworks. Build RESTful/GraphQL APIs, integrate with SQL/NoSQL databases and third-party services, implement automated tests and CI/CD, ensure security and performance, and collaborate with product, frontend, and DevOps teams to resolve production issues.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.

Build, manage, and scale cloud infrastructure using Terraform and IaC; automate deployments; ensure system reliability and security; collaborate within a security-focused environment. Requires 5–7 years DevOps experience.

Lead capital raising across equity, debt, and structured finance. Manage investor relationships, structure and negotiate financing deals, prepare pitch decks and financial models, coordinate cross-functional execution, track market and regulatory trends, build deal pipeline, and drive transaction closure including due diligence and fund disbursement.

Lead and grow an engineering team building machine learning-driven products. Own technical roadmap, model development and deployment, system reliability, engineering best practices, and partnership with product and data teams to deliver measurable user and business value.

Guide research teams to close knowledge gaps in Statistics for LLMs: design and evaluate complex statistical problems and solutions, and provide clear written feedback to improve AI model performance.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Manage end-to-end procurement contract lifecycle: draft, review, negotiate, and execute NDAs, MSAs, SOWs, and order forms. Maintain contract repository, coordinate internal reviews with legal, security, finance and procurement, provide stakeholder guidance, prepare summaries and risk analyses, and improve templates, workflows, and compliance processes across jurisdictions.