Top Tech Jobs & Startup Jobs in CO

Provide high-level administrative support to sales executives including calendar, travel, expense reporting, and confidential communication. Prepare reports and sales materials using PowerPoint, Excel, and CRM. Plan and execute internal and external sales events and offsites. Liaise with clients and internal teams, multitask under pressure, and travel a few times a year.

Own a book of large enterprise accounts to drive adoption, value realization, renewals, and upsells. Lead onboarding and training, build C‑level relationships, manage escalations, coordinate cross-functional resources, capture product feedback, and ensure high customer satisfaction and retention.

Lead and scale a team of product specialists supporting strategic solution categories. Define engagement models, prioritize coverage, coach on discovery, demos, technical validation and executive communication, create reusable plays and assets, partner with Sales, Product, and Product Marketing, and hire/onboard specialists to improve win rates and category health.

Lead and grow a data platform engineering team to build and maintain a petabyte-scale data lake and infrastructure. Drive platform roadmap, scale systems globally, collaborate cross-functionally, and embed best practices for security, privacy, and AI transformation.

Lead and scale a 24x7 Technical Support Engineering organization for mid-market and enterprise customers. Own operations, SLAs, escalations, cross-functional collaboration, data-driven KPIs, process optimization, automation, training, and staffing to improve CSAT/NPS and operational efficiency while supporting hardware and cloud-based products.

Lead detection, response, and digital forensics for security incidents. Monitor alerts, perform technical analysis, act as Incident Commander, build automation and runbooks, mentor engineers, and coordinate cross-team investigations and insider threat work.

Design and implement customer data solutions using Adobe Experience Platform and RTCDP. Configure XDM schemas, datasets, identities, and real-time profiles. Build ingestion pipelines, audience segmentation, and activation strategies. Ensure data quality, governance, and optimize platform performance while collaborating with marketing and technical teams.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Provide bilingual (English/Spanish) phone and email support to policyholders and agents: answer/return calls, resolve complaints, process requests, scan/index documents to OnBase, mail outgoing correspondence, monitor fraud trends, assist investigations, complete assigned projects, and participate in ongoing product/process training.

Handle inbound cancellation calls and outbound lapse recovery to retain life insurance policyholders. Assess needs, recommend solutions, document interactions, maintain product knowledge, and meet call center KPIs while providing empathetic, professional service.

Lead and coach a remote team of customer service representatives to meet KPIs and resolve escalations. Monitor QA, manage schedules and timecards, analyze service data, prepare reports, and implement process improvements while liaising with management.

Develop, code, test, and maintain application software components. Participate in requirements analysis and design, follow software development processes, and produce documentation and test plans.

Design, build, and maintain front-end visualizations and back-end web services for real-time geospatial data. Participate in full software lifecycle, ingest GIS/imagery data, improve tools/processes, and collaborate on modern web frameworks and performance profiling.

First-line IT support answering inbound calls and managing tickets. Troubleshoot end-user issues, administer Active Directory, use remote support tools, follow scripts and SLAs, create documentation, and escalate to teams as needed while maintaining excellent customer service.

Design, scope, and implement scalable backend and platform solutions for a reservations and waitlist product. Improve performance and usability, collaborate with Product and Design, identify high-impact opportunities, and contribute across the stack including APIs and front-end integration.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

The Senior Product Manager will own the strategy and execution of Toast's configuration platform, collaborating with engineering, design, and customer teams to enhance the user experience and support diverse business needs.

Lead regional sales enablement for North America: design and scale onboarding and value-selling programs, perform gap analyses, partner with regional leadership, drive methodology adoption (MEDDICC/Command of the Message), measure enablement impact via Salesforce and Clari, and own KPIs like quota attainment and win rates.

Perform 24/7 SOC monitoring and incident response across networks, endpoints, cloud and SaaS; triage, investigate, and remediate incidents; collaborate with vulnerability management, FedRAMP, and engineering teams; refine detection/playbooks; maintain incident documentation and SOC processes; support FedRAMP-related security and privacy responsibilities and periodic background investigations.

Scale and secure the enterprise Databricks platform on AWS for production analytics, ML, and AI agent workloads. Administer workspaces, Unity Catalog governance, CI/CD pipelines, Terraform automation, MCP server integration for agent frameworks, cluster policy enforcement, cost attribution, monitoring, incident response, and mentor junior engineers.

Provide pricing and inventory analytics to support advertising sales decisions. Analyze rate cards and market data, produce yield reports, recommend pricing and inventory management improvements, and collaborate cross-functionally to inform strategy and system enhancements.

As a Collections Specialist, you will manage SMB customer accounts, negotiate payment plans, achieve recovery targets, and document accounts in Salesforce CRM.

Manage a portfolio of small and medium business customers to grow relationships and identify additional capital solutions. Analyze business and financial histories, own the sales process from approval to close, use data to prioritize opportunities, and meet monthly quota in a fast-paced environment.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.