Top Remote Tech Jobs

Designs, automates, secures, and optimizes highly available AWS infrastructure and Azure DevOps CI/CD pipelines. Manages Infrastructure as Code, Datadog observability, cloud security, disaster recovery, backups, incident response, capacity planning, and cost optimization. Supports Windows and Linux systems, databases, application hosting, and production deployments while partnering with engineering, security, operations, and vendors. Provides technical leadership, mentorship, troubleshooting, and continuous improvement for business-critical customer-facing platforms.

Develops and executes territory growth plans, builds industrial customer relationships, generates and qualifies sales opportunities, delivers technical presentations, prepares proposals, manages CRM pipelines and forecasts, negotiates commercial terms, and achieves revenue and margin objectives. The role promotes reliability services, products, software, consultancy, and training while coordinating technical and operational teams. Regular travel to customer and industrial sites is required, including demonstrations, surveys, events, and occasional overnight travel.

Manage and grow channel partner relationships with VARs, systems integrators, and MSPs across the US. Drive recurring revenue, upsells, partner sales performance, onboarding, territory planning, co-op marketing, pipeline management, and sales coaching. Conduct partner education and training, identify performance gaps, coordinate cross-functional resolutions, and travel regularly for business needs.

Leads the launch of BGO’s enterprise sales motion for its AI-first data operations proposition. Responsibilities include developing prospecting strategy and sales playbooks, generating new-logo pipeline, selling complex $1M+ enterprise solutions, building executive relationships, closing transformational deals, supporting AI/ML product integration, and representing the company at industry events. The role partners with marketing, communications, client solutions, and leadership on RFPs, product roadmap development, and strategic market initiatives.

Serve as the technical and domain authority for complex B2B SaaS sales cycles involving procurement, spend management, and accounts payable automation. Lead consultative discovery, demos, technical scoping, RFPs, security reviews, integrations, and executive presentations. Partner with Account Executives, Product, Marketing, and Customer Success to improve competitive positioning, win rates, sales enablement, and customer handoffs. The role requires strong procurement and AP workflow expertise, ERP integration knowledge, and experience supporting multi-stakeholder deals.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Own the entire post-sale client lifecycle: onboard customers, review AI-generated compliance documents, deliver updates from regulatory monitoring, run upsell campaigns, retain and expand accounts, and feed product feedback to the founder. Build processes and define client success at an early-stage SaaS startup.

Develop and support secure web applications for DoD and regulated environments. Build React and TypeScript interfaces, Python-based REST APIs, PostgreSQL databases, authentication and RBAC systems, and Windows Server deployments. Maintain JSON schemas, troubleshoot software, optimize performance, support offline environments, and document architecture and operational procedures. Collaborate with developers, testers, administrators, subject matter experts, and end users to deliver application features.

Leads manufacturing improvement and industrialization projects from concept through production launch. Develops machining strategies, manufacturing processes, and CAD/CAM programs; validates production solutions; analyzes data; drives continuous improvement; ensures safety compliance; and collaborates with customers and technical teams.

Designs and maintains ETL pipelines for IRS data warehousing using SQL, Python, shell scripting, Sybase IQ, and PostgreSQL. Applies statistical and machine learning methods to clean, analyze, and model large datasets. Responsibilities include data quality, pipeline optimization, troubleshooting, documentation, metadata management, stakeholder collaboration, and deployment in Linux, Windows, OpenShift, and Kubernetes environments.