Top Remote Jobs

Own and scale Alloy’s customer enablement program for a technical, API-driven SaaS platform. Responsibilities include auditing and consolidating resources, developing onboarding and product-release training, facilitating hands-on customer sessions, closing documentation gaps, and creating feedback loops with Product, Design, Support, Delivery, and Marketing. Measure outcomes such as self-service, adoption, ticket deflection, and time to value while determining whether customer challenges require content, training, or product improvements.

Build and maintain automated UI, API, database, performance, and compliance tests using Java and Python. Integrate regression suites with CI/CD, analyze failures, validate deployments, support regulated-system traceability, and provide release quality recommendations. The role includes HIPAA, SOX, HL7, and FHIR testing, risk assessments, AI-assisted testing, and mentoring junior QA engineers.

Own territory performance by driving new sales, expanding existing accounts, managing strategic customers, and developing OCS partner relationships. Responsibilities include prospecting, lead generation, partner co-selling, customer meetings, demos, pipeline management, forecasting, account planning, product adoption, and reactivating underperforming partners. The role requires regular partner visits, data-driven territory prioritization, and accountability for bookings, revenue, retention, and growth goals.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Develop and maintain pricing models, analyze profitability and deal structures, support budgeting and forecasting, and provide scenario modeling and financial insights to Commercial and Finance leaders. The role partners cross-functionally, uses Workday Adaptive Planning for planning and reporting, monitors performance metrics, and applies AI-assisted analytics to improve financial outputs.

Build AI agents and data acquisition systems, evaluate dataset quality, define quality KPIs, and improve data processes. Partner with product teams to deploy data into customer-facing products and acquire datasets from third parties, including coordinating vendors and contracts. The role requires organizing multiple projects, structuring analyses, communicating tradeoffs, and using data to support investment decisions and customer outcomes.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Lead hardware and software implementations for strategic accounts, managing projects from sales handoff through deployment, training, post-implementation support, and transition to clinical success teams. Own project plans, milestones, budgets, customer relationships, cross-functional coordination, and process improvements. The role requires enterprise implementation experience, strong project management and communication skills, lean methodology knowledge, and up to 80% travel.