Top Remote Tech Jobs

Owns end-to-end hiring for Sales Development Representatives and other sales roles. Conducts structured phone screens and behavioral interviews, partners with sales leadership on candidate profiles and sourcing, analyzes recruiting, turnover, and performance metrics, improves hiring-funnel efficiency, and develops bias-mitigating selection methods. The role influences hiring decisions, coaches stakeholders, and supports high-performing, diverse sales teams.

Drive new business acquisition among law firms with 70+ attorneys by building sales pipelines, engaging senior decision-makers, and consultatively positioning Law.com, Compass, and Radar. Develop tailored solutions addressing client development, competitive intelligence, market share, and strategic growth needs. Collaborate with product, editorial, and marketing teams to deliver high-value offerings and build trusted relationships with legal industry buyers.

Onboard and support customers deploying IoT devices, troubleshoot cellular and network connectivity issues, analyze packets, train users on platform and APIs, configure account features, monitor network health, and resolve escalations. The role also contributes to technical documentation, internal tools, customer reviews, and back-office customer success projects while supporting French-speaking customers.

Manages key OOH media clients, campaigns, supplier relationships, and line reports. Oversees media planning, booking, activation, reporting, issue resolution, and client servicing while supporting revenue growth, new business development, forecasting, budgeting, and operational excellence. Builds relationships across clients, agencies, vendors, and internal teams, contributes to pitches and company initiatives, and supervises hiring, training, performance, and workload allocation.

Conduct CRM implementations, client and internal training, go-live support, issue resolution, workflow analysis, and post-go-live optimization. The role partners with internal teams, communicates implementation progress, investigates client issues, and helps healthcare organizations improve software workflows while maintaining compliance with HIPAA, ERISA, and other regulations.

Build and maintain scalable, distributed backend systems for a high-volume fintech platform. Develop services with Golang, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team using PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and microservices architecture.

Generate business opportunities through cold calls, targeted emails, and LinkedIn outreach. Qualify prospects by assessing infrastructure, pain points, timelines, and budgets; schedule discovery meetings and demos for Account Executives; research target accounts and decision-makers; and maintain accurate sales activity and buying-signal data in Salesforce.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Administer and optimize multiple enterprise SaaS business applications, including configuration, workflows, permissions, integrations, reporting, data feeds, and vendor-supported changes. Troubleshoot system, access, workflow, and integration issues; support releases, testing, UAT, implementations, and data validation. Partner with business teams, vendors, IT risk, and data owners to improve efficiency, controls, data quality, reliability, and scalability across interconnected business systems.

Own the company’s AI intelligence layer end to end, including reasoning, learning loops, evaluations, guardrails, and reliability. Build and deploy applied LLM systems for real-world users, establish the AI architecture, identify and address failure modes, and eventually hire and lead the AI team. The role emphasizes production AI judgment and systems building over model research or industry experience.