Top Remote Jobs in Denver & Boulder, CO

Deliver and configure Adobe Workfront solutions for enterprise clients: administer environments, build dashboards/reports/forms/workflows, implement automations and integrations, ensure data governance and security compliance, optimize instances, and provide client-facing enablement and documentation to support billable engagements.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead product work for Lob's mail logistics platform with an initial focus on finance projects (usage billing, pricing simulations, discounts). Drive roadmap strategy through user research, translate technical insights into customer outcomes, manage delivery, document accounting SOPs, train teams, mitigate risks, and champion AI to streamline product design and QA while communicating clearly with technical and non-technical stakeholders.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Own quota and drive revenue for Garner’s Insights and Referrals products by selling into healthcare delivery organizations and digital health companies. Execute full sales cycle—prospecting, discovery, positioning, contracting, and closing—while managing pipeline forecasting. Collaborate with SVP and cross-functional teams to inform go-to-market, enablement, and product roadmap through structured market feedback. Individual contributor role with occasional travel to HQ.

Design and build scalable, audit-ready backend and full-stack systems for Upstart Bank. Own technical design and delivery of medium-to-large projects, improve reliability, observability, and data consistency, and partner with product, compliance, and operations to deliver regulated fintech solutions.

Design, operate, and scale Kubernetes (EKS) clusters and AWS infrastructure using IaC and GitOps. Drive platform reliability, SLOs, incident response, developer experience improvements, and cost optimization while partnering with SRE, InfoSec, Delivery, and product/ML teams.

Design, build, and operate scalable, distributed event-driven systems that automate accounting close and capital risk workflows. Process high-volume financial events into reliable outcomes, lead multi-quarter engineering initiatives, improve reliability and maintainability, and partner with product, analytics, and finance teams.

Prepare federal and state S‑Corp and C‑Corp tax returns and supporting workpapers; calculate entity-level state tax accruals, estimated and extension payments, and assist K-1 processing. Research tax issues and new legislation, respond to state notices and audits, collaborate with Treasury/Accounting/Legal/International tax teams, support shareholder tax relations, and help implement process improvements and automation.

Lead product security across the SDLC: threat modeling, secure architecture, vulnerability management, security testing and remediation, CI/CD/DevSecOps controls, AI security integration, bug bounty triage, developer training, and cross-functional security consulting to scale secure-by-design practices.

Lead and coordinate large, cross-team infrastructure platform programs from inception to delivery. Drive roadmap execution, manage dependencies and risks, communicate status to executives, and improve operational practices. Facilitate cross-team alignment, scrum-of-scrums, and partner with product and engineering leaders to ensure predictable, high-quality outcomes.

Lead delivery of FedRAMP High authorization and future regulated environments on a multi-tenant SaaS platform. Translate compliance controls into engineering work, manage evidence collection and audit readiness, coordinate Engineering/Product/Compliance, establish reusable control/evidence pipelines and governance, and transition to sustainment post-authorization.

Partner with Account Executives to lead technical conversations and demos, run Proof of Values, and articulate CrowdStrikes platform value to technical and executive audiences. Support pre-sales activities across endpoint security, cloud, identity, and AI-driven threat detection while learning and evangelizing new product capabilities.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Support global office construction and fit-out projects, coordinating stakeholders, schedules, budgets, vendors, and documentation from planning through closeout. Monitor quality, mitigate risks, review drawings/contracts, produce reports, and ensure projects meet brand, code, and budgetary requirements.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.