Top Remote Jobs

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Own the strategy, roadmap, discovery, delivery, measurement, and go-to-market enablement for new AI capabilities supporting critical-event response workflows. Conduct customer research, define problems and success metrics, partner with Engineering and Design, prototype with AI tools, prioritize initiatives, and launch scalable workflow automation for security, safety, continuity, IT, and operations teams.

Field-based sales role executing territory business plans to drive adoption of the Galleri MCED test. Prospect and engage primary care practices, conduct clinical and value-based presentations, collaborate with cross-functional teams and MSLs, manage complex accounts, maintain CRM records, analyze territory performance, and ensure compliance with industry and company policies. Requires heavy in-person travel and consultative selling.

Own and govern the Professional Services delivery methodology, tooling, and escalation frameworks. Maintain portfolio health reporting, run RCA post-implementation, enforce PS tooling adoption, and develop implementation playbooks for different customer segments. Drive consistency across IMs and CSMs to reduce churn and improve go-live outcomes.

Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence. Build multi-agent workflows using orchestration frameworks and large language models, engineer tool-using and self-refining agents, develop data ingestion pipelines, and operate secure, scalable AI systems in production. Apply DevOps, reinforcement feedback mechanisms, and AI-assisted development practices while contributing to engineering standards and documentation.

Design, build, and maintain scalable, reliable full‑stack systems. Contribute to API and architecture design, write testable code, debug complex issues, improve performance, automate deployments, and mentor junior engineers while collaborating with cross‑functional teams.

Performs exploratory data analysis, feature engineering, predictive modeling, statistical testing, and data visualization on large structured and unstructured datasets. Develops, validates, and improves predictive and prescriptive models, identifies business opportunities, and presents findings to stakeholders. Collaborates with machine learning engineers, product, and engineering teams on model deployment and internal data platforms. Establishes modeling best practices, supports data collection, and mentors associate data scientists.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Provides hands-on endpoint, mobile, network, and infrastructure security for executives, remote offices, and sensitive locations. Responsibilities include configuring devices and controls, conducting site security assessments, remediating gaps, troubleshooting security systems, coordinating with Physical Security and vendors, maintaining documentation and runbooks, supporting audits, and responding to urgent after-hours issues. Regular domestic and international travel is required.

Designs, builds, and runs a quarterly enablement engine for GTM: bootcamp curricula, facilitator-ready content, role-based learning paths, certifications, readiness assessments, and measurement to drive seller behavior and productivity.