Top Remote Jobs

Manage relationships with credit reporting agencies, develop business strategies, improve credit data accuracy, and ensure regulatory compliance while driving business value.

Lead finance systems architecture and transformation initiatives: design finance technology roadmap, architect Workday integrations, implement reconciliation and close automation, evaluate finance tools, drive RPA/AI automation, coordinate cross-functional stakeholders, support month-end close and M&A system integrations, and maintain system documentation.

Lead second-line credit risk oversight across unsecured, secured, and commercial lending. Perform credit and behavioral analytics, monitor roll rates/delinquency, evaluate KPIs/KRIs, build data visualizations, advise on policy effectiveness, and support regulatory readiness and risk management frameworks.

Lead end-to-end implementations of Arcadia's platform: develop project plans, manage data integration (EHR/claims), coordinate teams and third parties, escalate and resolve risks, validate and train customers, and drive go-live and process improvements to ensure customer value and retention.

The Sr. Data Scientist will collaborate on clinical projects, translate data into actionable insights, and ensure study compliance, requiring advanced statistical computation skills.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

Lead vision and execution for Dropbox's next-generation design system and experience platform. Build reusable patterns, components, tokens, accessibility standards, and operating models to scale product quality across web, mobile, desktop, and AI experiences. Partner with product, engineering, research, brand, and leadership to drive adoption, governance, measurement, and high-fidelity front-end implementation while managing and developing a multidisciplinary team.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

Lead and grow a backend engineering team building communications infrastructure: document generation, PDF templating, and multi-channel notifications (email, SMS, mail). Own architecture, integrations with providers (SendGrid, Twilio, Lob), delivery reliability, observability, compliance/audit trails, and template onboarding. Act as player/coach contributing ~20% coding while driving roadmap, operations, and cross-functional collaboration.

Own full sales cycle for net-new and expansion opportunities with life insurance carriers. Prospect, qualify, run discovery, present tailored demos, coordinate Sales Engineering, maintain pipeline and forecasting in Salesforce, and meet quota while selling value and ROI to senior stakeholders.

Lead development, monitoring, and support of underwriting logic and data for an instant-decision platform. Perform audits, analyze underwriting metrics and data vendor integrations, run UAT, inform carrier implementations, and contribute to product and platform improvements with strong risk management and automation focus.

As a Customer Success Manager, you will develop relationships with enterprise customers, driving their success and adoption of Jellyfish's platform through onboarding, training, and regular check-ins with account health.

Own a full inbound sales pipeline for Hometap's home equity investment product: educate homeowners, guide applications from first call to close, coordinate with internal teams, use Salesforce and proprietary tools, meet monthly and quarterly sales goals, and maintain compliance and high-quality homeowner communication.

Lead the optimization of mortgage origination processes and systems, collaborating to improve workflows, integrating technology, and communicating insights to stakeholders.

Lead the technical direction of Salesforce at Hometap, designing scalable solutions, providing guidance to teams, and ensuring adherence to best practices and security protocols.

Lead design and delivery of low-latency market-making and automated trading strategies. Translate quantitative research into production systems, build backtesting and real-time decision engines, ensure scalability and observability, manage risk-aware optimization, and influence cross-functional teams on strategy and technical direction.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Lead end-to-end product lifecycle for a content management platform: define strategy, API and architecture, co-own roadmap, prioritize engineering work, enable automation and personalization, collaborate with Engineering, UX, Analytics, and stakeholders, and use data and experimentation to measure and iterate.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.

Lead end-to-end strategic sourcing for services (BPO, marketing, consulting, corporate functions). Manage RFx, evaluation, negotiation, and contract execution; drive savings, reduce risk, and deliver category insights from spend and market analysis. Partner cross-functionally (Legal, Security/TPRM, P2P) and adopt AI/automation to streamline workflows.

Lead enterprise-wide compliance and financial-crime risk assessments, evaluate controls and residual risk, produce executive reports, partner with MLROs/CCOs globally, drive transaction monitoring and customer risk scoring coverage, update geographic risk ratings, develop threat assessment frameworks, and pioneer AI-powered automation while maintaining human oversight.