Top Remote Tech Jobs

Leads multiple global travel support teams operating 24/7. Responsibilities include developing standardized processes, improving operational scale, managing escalations, monitoring service levels and customer satisfaction, conducting root-cause analysis, coaching managers, supporting hiring and training, and reporting performance. The role requires contact-center leadership, travel industry systems experience, customer-service expertise, analytical problem solving, and flexibility for nontraditional shifts and potential weekend on-call coverage.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Lead the architecture and technical direction of Forward Financing’s core fintech platform. Design scalable distributed backend systems, guide cross-team initiatives, establish engineering best practices, resolve incidents, and mentor engineers. The role owns the technical roadmap and architectural vision while partnering across teams to improve reliability, observability, code quality, and delivery. Ruby on Rails expertise is required, along with strong communication, influence, agile development experience, and a broad backend or full-stack perspective.

Own and scale Customer Success operations by improving Salesforce CRM management, customer lifecycle visibility, playbooks, workflows, reporting, onboarding, training, and operating rhythms. Develop scalable processes for implementation, customer health, renewals, expansions, and business reviews. Lead incentive structures, automate manual workflows, maintain knowledge resources, and drive cross-functional operational projects across Customer Success, Implementation, Product, Sales, Marketing, and Operations.

Leads healthcare partnership and business development strategy to generate qualified sales pipeline and revenue. Builds relationships with healthcare operators, associations, vendors, investors, and channel partners; negotiates deals; manages partner programs; represents Hireology at industry events; and provides market intelligence to Sales, Marketing, Product, and leadership. The role requires extensive healthcare experience, a strong industry network, executive communication skills, and travel of up to 40%.

Shape legal AI products by designing evaluations, validating AI outputs, translating legal workflows into product requirements, and turning customer feedback into product improvements. Partner with Engineering, Product, Design, and GTM teams from discovery through launch. Provide legal expertise, define quality standards, create evaluation metrics, and guide roadmap decisions for AI experiences used by in-house legal teams.

Administer and improve Salesforce across Sales, Investment Support, and Investment Operations. Responsibilities include gathering requirements, managing projects, designing and troubleshooting Flows, configuring Salesforce components and security, supporting deployments and sandbox environments, conducting root-cause analysis, maintaining documentation, and implementing release-related changes. The role also contributes to compliance checks, integrations, and cross-functional Salesforce initiatives.

Coach approximately 20 AI fellows across multiple host organizations through production engineering work. Responsibilities include reviewing pull requests, providing written feedback, conducting 1:1s, leading milestone reviews, delivering curriculum modules, facilitating technical sessions, supporting assessments, identifying cohort-wide issues, and escalating technical or performance risks. The role requires AI-native engineering practices, strong asynchronous communication, and occasional evening sessions across U.S. time zones.

Develop and deploy reliable machine learning, LLM-powered agent, and agentic workflow systems for government and enterprise customers. Integrate models with tools, APIs, MCP servers, and data sources; build evaluation frameworks for performance, reliability, and safety; improve Chariot, the company’s AI operations platform; and support mission-critical deployments. Collaborate with data scientists, software engineers, DevOps teams, and customers in secure government environments.

Own strategy, renewals, expansion, and executive relationships for major enterprise bank and credit union accounts. Drive customer outcomes, retention, product adoption, and revenue growth while coaching Associate GMs. Partner with Product and Engineering to translate feedback into product requirements, use data to identify risks and opportunities, and manage high-level commercial and operational priorities.