Top Remote Jobs in CO

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.

The Strategic Account Executive drives revenue growth in mid-market accounts, serves as a trusted advisor, manages strategic sales cycles, collaborates cross-functionally, and shares market insights to enhance product development.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Lead the ToastNow engineering team in delivering high-quality native mobile experiences for restaurant operators. Drive planning, execution, cross-functional collaboration, backlog development, production quality, monitoring, and issue resolution. Hire, mentor, and develop engineers while fostering diverse, high-performing teams. Champion AI tools and practices to improve development speed, quality, and team velocity.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Own the enterprise data platform roadmap and self-service experience for domain data teams. Define capabilities spanning catalogs, semantic layers, observability, access management, lineage, certification, and documentation. Conduct discovery with technical stakeholders, create governed paved paths and tooling, drive platform adoption, measure outcomes, and partner with Data Engineering, Platform, and Governance teams. Ensure data products remain discoverable, interoperable, and scalable as Toast’s domains mature and operate more independently.

Maintain and publish weekly contact-center schedules, align short-term forecasts to volume, update agent/team records, produce WFM performance reports, manage shift bids, analyze time-off allotments, support WFM coordinators, and liaise with supervisors and leadership to ensure coverage and staffing accuracy.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Own operational processes, reporting, and programs for Customer Success Management. Translate ambiguous leadership questions into solutions, improve processes end-to-end, partner with Revenue Technology/Analytics, support planning (capacity, segmentation, territory), and drive cross-functional alignment with Sales and Finance to scale CS operations.

Lead renewal analytics and forecasting for direct and channel motions. Build renewal health scoring and predictive models, improve Clari and SFDC processes, surface churn and expansion insights, partner with RevOps/Finance/IT, automate reporting, and present recommendations to senior stakeholders to improve retention and renewal performance.

As a Revenue Operations Analyst II, you'll optimize merchant lifecycle processes, manage lead routing, support attribution tracking, and collaborate across teams to enhance lead management efficiency.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan-performance models; and provide funding strategy insights. Partner with Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product, and Engineering teams to support funding, product, and business decisions. The role also involves collaborating with accountants, rating agencies, and internal and external partners.

Investigate and resolve complex customer complaints escalated by executives, internal teams, and bank partners. Communicate empathetically with customers by email, document complaints accurately, coordinate with Compliance, Legal, Risk, Product, and Communications, and identify root causes and remediation options. Lead process-improvement workstreams, contribute to operational improvements, and build expertise in financial products, servicing processes, consumer finance policies, and regulatory requirements.

Partners with enterprise Account Executives and sales leaders to qualify and close complex travel technology deals. Demonstrates Navan’s platform, presents value propositions to travel managers, conducts strategy sessions, scopes solutions, runs proof-of-concepts and workshops, produces business value assessments, and supports pipeline progression. The role also enables Account Executives, provides competitive insights, and shares feedback with product and operations teams while contributing to sales quota attainment.

Lead Headway’s customer experience operation across Agent Success, Customer Care, Programs, and Systems, managing over 100 employees and 800 partner agents. Own end-to-end support quality, performance, staffing, forecasting, costs, training, QA, procedures, systems, and AI-enabled automation. Partner with Product and R&D to improve customer experience and reduce support demand while developing a high-performing leadership team.