Top Remote Tech Jobs

Research market and customer needs, define product vision and roadmap, oversee design and engineering development, test quality, create marketing plans, manage budgets and teams, communicate performance, analyze feedback, and anticipate demand, risks, and opportunities.

Manage strategic customer relationships with automotive dealership clients, driving platform adoption, ROI, and measurable business outcomes. Train users, understand client goals, analyze account performance metrics, identify optimization and expansion opportunities, and manage multiple accounts and projects. The role requires regular dealership-site work and approximately 50% travel.

Lead discovery calls and product demos, understand customer workflows, prepare tailored proposals, manage pipeline and follow-ups, coordinate handoffs to onboarding, and relay customer feedback to product. Focus on converting qualified prospects into signed B2B SaaS customers.

3-month contract Frontend Engineer to build client-facing UIs and integrations for cybersecurity use cases. Collaborate with product, design, and engineering to deliver secure, performant, scalable features, maintain component libraries and automated tests. Remote (GMT+8) role focused on TypeScript and modern web tooling.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Refine, stabilize, and enhance a Google Docs add-on including Apps Script refactoring, OAuth2 and REST API integration, retry and sync logic, UI improvements, end-to-end testing, and preparing the add-on for Google Workspace Marketplace publication and security review.

Own the company-wide revenue retention and add-on monetization analytics strategy. Build causal inference and retention models covering churn, MRR, GRR, NRR, attach, and usage. Partner with Finance, RevOps, Customer Success, CPaaS, AI, and product leaders to establish governed metrics, identify opportunities, guide experimentation, and influence product, pricing, and lifecycle decisions. Set analytical standards, develop reusable methods, and provide technical direction across teams.

Owns customer-growth analytics across onboarding, activation, trial-to-paid, multi-product adoption, retention, and expansion. The role develops segment-level behavioral and revenue insights, causal-inference and experimentation standards, canonical metrics, and value frameworks. It advises Growth, GTM, Finance, and product leaders, influences investment decisions, identifies data gaps, and sets technical direction for reusable growth-measurement methods across teams.

Provide remote administrative support to executive search consultants: source and screen candidates, schedule interviews, maintain candidate databases, communicate with candidates/clients, perform preliminary assessments, post job ads, and manage recruitment-related documents and reports.

Leads the transformation of an L2 support organization into an engineering-led SRE function. Defines reliability standards for observability, SLOs, SLAs, incident management, alerting, and production readiness. Drives AI-assisted automation, self-service, toil reduction, and operational excellence while partnering with engineering and product teams to improve system reliability. Builds and develops a high-performing SRE organization, establishes operational KPIs, and advances platform resilience, scalability, and customer experience.

Leads multiple teams delivering scalable, reliable software, data, and AI/ML systems. Oversees architecture, development, DevOps, deployment, monitoring, cloud cost optimization, and operational efficiency. Translates strategy into technology roadmaps, manages cross-functional dependencies, and ensures execution against business priorities. Builds high-performing engineering teams through mentorship, succession planning, and continuous improvement while advancing AI platforms and intelligent automation.

Designs and optimizes scalable data pipelines and architectures supporting analytics and operational needs. The role develops ETL, streaming, data quality, governance, and cloud-based workflows using modern big data technologies. Responsibilities include translating business requirements into technical solutions, monitoring data systems, improving reliability and performance, and providing technical guidance on data modeling, storage, and metadata management.

Own full client onboarding and implementation lifecycle for SaaS platforms. Configure systems, manage integrations and data migrations, drive fast go-lives, run trainings, troubleshoot issues, and build scalable templates and playbooks while partnering with Sales, Product, and Engineering.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Remote, performance-driven sales role owning the full sales cycle: outreach, discovery, demo, close. Qualify high-intent leads, position AI-powered human-centric solutions, collaborate with Marketing and CX, and hit aggressive sales targets (expectation: 12+ sales/month).

Leads research and advisory services for customer service and support technology leaders. The role authors thought leadership, analyzes technology markets and vendors, predicts market demands, advises clients on strategy and technology selection, delivers presentations, supports sales and retention, engages with media, and mentors analysts. Expertise in CRM, contact center platforms, knowledge management, conversational AI, and emerging AI technologies is required.