Top Remote Jobs in Denver & Boulder, CO

Lead a globally distributed IT engineering team building enterprise integrations, workflow automation, orchestration, and AI-native workflows. Set technical direction, establish roadmaps, manage delivery metrics, and partner with business and service operations leaders to eliminate manual work. Guide engineers on architecture, CI/CD, testing, and development practices while evaluating emerging automation and AI tools. Build integrations across identity, ITSM, SaaS, and enterprise systems, and grow team capabilities across US and India time zones.

Own Core IT business operations, including SaaS budgets, licensing, vendor management, hardware procurement, inventory, logistics, and renewals. Lead a small team, build operational processes and reporting, optimize spend, manage enterprise contracts, and partner with IT, Finance, Sales, and R&D leadership. The role also oversees multi-region hardware operations and supports the development of a scalable Business Operations function.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Provides executive-level technical advisory and pre-sales guidance to public sector customers on DevSecOps, application security, compliance, cloud platforms, and secure software delivery. Builds relationships with technology and security leaders, delivers thought leadership, supports government publications and standards discussions, partners with sales, marketing, and product teams, and translates field feedback into strategy, enablement, and technical content. This is a remote individual contributor role without direct people management responsibilities.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

Leads GitLab’s Agentic Software Delivery product section across continuous integration, artifact management, continuous deployment, and observability. Owns three-year strategy, product vision, business outcomes, adoption, retention, revenue, investment decisions, pricing, packaging, and go-to-market execution. Manages senior and principal product managers, partners with Engineering and commercial teams, and guides customers toward AI-powered software delivery. Requires strong technical fluency in DevOps, executive communication, portfolio leadership, and experience with AI-native product management.

Designs, builds, and scales backend services and integrations for payments, billing, identity, and partner connectivity. Sets technical vision and architecture for distributed systems, leads cross-team delivery, manages production rollouts, builds fault-tolerant services and data pipelines, and mentors engineers. The role partners with product, design, and engineering teams to deliver frequent, reliable improvements for Flex’s rent payment platform.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Build and own full-stack MarTech services, scalable APIs, event-driven systems, data pipelines, and customer-facing web experiences. Integrate advertising, analytics, messaging, and marketing platforms while supporting attribution, identity resolution, experimentation, acquisition, and retention. Collaborate cross-functionally with marketing, product, data, design, and engineering teams to launch measurable growth initiatives. Mentor engineers and establish technical best practices across high-scale marketing infrastructure.

Own the full enterprise SaaS sales cycle, from prospecting through executive negotiations and close, while expanding existing accounts. Build pipeline, manage forecasts, develop executive relationships, and partner with Product, Marketing, Customer Success, and Leadership to refine go-to-market strategy. Contribute to sales enablement, account strategy, sales methodology, and the growth of a scalable commercial organization.

Manage a portfolio of accounting and bookkeeping partners to drive retention, platform adoption, revenue growth, and subscription expansion. Conduct business reviews, create success plans, identify churn risks, and position Xero capabilities including payroll, bill pay, analytics, and AI tools. Use Salesforce CRM for account health, forecasting, and pipeline management while collaborating with consultants, sales operations, marketing, finance, and customer experience teams.

Handle calls and emails from agency offices, accounts, and policyholders. Explain billing statements, assist users with the online billing system, research account issues, resolve complex billing questions, and support business owners and bookkeepers with invoices. Provide timely, high-quality customer service, manage stressful interactions, participate in phone rotation, and work independently in a remote environment.

Calculates, adjusts, audits, and processes sales commissions for agents. Maintains commission databases and records, investigates payout disputes, reconciles discrepancies, answers commission and 1099 questions, supports recurring commission processes, and recommends process improvements while ensuring accurate and timely payments.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Lead DigitalOcean’s AI security strategy, governance framework, and multi-year roadmap. Secure AI/ML systems across data ingestion, training, model serving, RAG, agents, and monitoring. Conduct threat modeling, adversarial testing, AI red teaming, and security reviews; develop guardrails and automation with engineering teams. Advise executives and the board on AI risk, define organizational controls, and guide responses to emerging threats including prompt injection, model supply-chain risks, and AI-enabled social engineering.

Own strategic affiliate and publisher partnerships across credit cards, home lending, and deposits. Responsibilities include sourcing and onboarding partners, negotiating commissions and placements, managing performance and ROI, leading quarterly business reviews, coordinating cross-functional campaign execution, testing new formats, and improving partnership processes.

Own strategic affiliate and publisher partnerships across credit cards, home lending, and deposits. Responsibilities include partner management, business development, deal negotiation, performance and ROI tracking, quarterly business reviews, campaign execution, testing, process improvement, and managing a team of Partnership Managers. Requires 3–5 years of affiliate or publisher partnership experience, strong negotiation and analytical skills, platform fluency, and stakeholder management.

Design, develop, deploy, and support AI solutions including generative AI applications, agents, workflow automation, document intelligence, and retrieval-augmented generation. Partner with business and IT teams to identify use cases, integrate enterprise platforms and data sources, establish prompt and evaluation standards, support AI governance and security, monitor solution performance, and train employees on responsible AI adoption.