Top Remote Jobs

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Promote Scratch Checkout to veterinary practices via outbound and inbound outreach. Generate and qualify leads, book demos for Account Executives, and maintain CRM records in HubSpot. Meet pipeline and meeting-setting metrics, stay informed on industry trends and competitor offerings, and collaborate with sales team to improve payment workflows and client satisfaction.

Own and grow relationships with federal System Integrators and Civilian agencies. Win net-new logos, expand account presence, coordinate with marketing, pre-sales, channel partners and Customer Success to identify upsell opportunities, and represent Immersive at industry events.

Create and maintain technical knowledge articles, troubleshooting guides, runbooks, decision trees, and training materials to improve support case resolution. Partner with SMEs, analyze case trends, capture repeatable troubleshooting workflows, maintain content quality, and prioritize a backlog of enablement requests to enhance Support efficiency and escalation accuracy.

Serve as the CRO's second-in-command to align Sales, Marketing, Customer Success, and CX. Own the revenue tech stack, data governance, forecasting, reporting, lead lifecycle, and cross-functional initiatives to drive pipeline integrity, forecasting accuracy, and scalable GTM execution.

Provide securities law counsel for a public company: prepare and file SEC reports (10-K, 10-Q, 8-K, registration statements), support proxy and shareholder meeting logistics, advise on insider trading/Rule 10b5-1 and Section 16 filings, review external communications for Regulation FD compliance, monitor securities law developments, train employees, and support corporate governance matters.

Own and scale Acquia's Technology Alliance Partnerships: set strategy, manage strategic partners (AWS, ISVs, OEMs), drive co-sell and marketplace motions, recruit and launch integrations, build OEM revenue models, align partners with Product, execute joint GTM with Marketing and Sales, and lead a team of alliance managers to generate partner-sourced pipeline.

The Senior DevOps Engineer will establish CI/CD infrastructure for embedded systems, manage deployment environments, and support software development teams with automation and testing frameworks.

As a Senior DevOps Engineer, you will implement and maintain CI/CD infrastructure, build automation, testing frameworks, and integration for real-time software projects for embedded systems.

As a Senior DevOps Engineer, you will design and maintain CI/CD pipelines, automate deployment processes, and support software development teams for embedded systems.

Lead and grow the Vendor Legal team, manage and mentor attorneys, negotiate and close high-volume vendor agreements (SaaS, cloud, payments), build playbooks and templates, partner with cross-functional teams, and develop training to increase self-service and efficiency.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.