Top Remote Tech Jobs

Lead a team of 4–8 AI engineers while remaining hands-on with architecture, code reviews, debugging, and technical decisions. Own delivery of production AI systems, including LLM applications, agentic workflows, document extraction, ETL pipelines, observability, evaluation, and monitoring. Partner with product, platform, data engineering, recruiting, and customers to build reliable, scalable AI features and grow engineering talent.

Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.

Own the full enterprise sales cycle for TigerConnect’s Nurse Call solution, targeting acute care health systems across the U.S. Responsibilities include prospecting, pipeline management, consultative discovery, solution demonstrations, forecasting, CRM updates, and contract closure. The role requires building relationships with hospital executives and clinical stakeholders, navigating complex multi-party sales processes, exceeding quotas, and developing expertise in Nurse Call system design and configuration.

Leads MongoDB’s global brand strategy, visual identity, creative expression, and integrated marketing campaigns. Oversees multidisciplinary creative teams, develops brand systems and narrative-driven experiences, partners with executive and cross-functional stakeholders, and manages budgets, timelines, vendors, and performance metrics. The role drives brand differentiation, customer engagement, and business outcomes across digital, video, events, product experiences, social, paid media, and print while fostering creative excellence and innovation.

Partners with account executives to shape technical sales strategies, lead customer discovery, deliver product demonstrations, and manage proof-of-value evaluations. Translates customer goals into Datadog solutions, develops technical champions, supports consensus-building, and communicates feedback to product and engineering teams. Maintains accurate opportunity records and collaborates with Product, Support, and go-to-market teams to resolve technical blockers and drive adoption.

Analyze clinician platform data to identify behavioral patterns, develop product and client-facing analytics, and communicate actionable insights. The role collaborates with product managers, analysts, engineers, and other data scientists on projects spanning data ingestion, analysis, and recommendations. Responsibilities also include contributing to data team strategy and applying statistical methods, SQL, Python data libraries, visualization, and distributed data processing techniques.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads Growth Marketing and owns enterprise pipeline across demand capture and demand creation motions. Builds integrated, account-based growth programs, aligns Marketing, Sales, Alliances, Customer, and Revenue Operations, and manages BDR, digital advertising, demand generation, analytics, operations, and AI enablement teams. Establishes operating systems, measurement frameworks, and performance reviews while optimizing investment, conversion, pipeline quality, and revenue outcomes. Develops leaders and scales a commercially accountable growth organization in a complex enterprise SaaS environment.

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

Owns strategic enterprise client relationships for RapidScale, driving revenue growth, retention, expansion, and customer outcomes. Develops account plans, leads complex multi-year services engagements, manages sales cycles, coordinates cross-functional resources, resolves executive escalations, and maintains pipeline and forecasting discipline. Requires strong C-suite relationship management and expertise selling managed, professional, hybrid-cloud, and multi-cloud solutions.