Top Tech Jobs & Startup Jobs in CO

Sell GitLab's AI-powered DevSecOps platform to net-new customers in Southern California. Build pipeline through proactive prospecting, manage full sales cycle with C-level and technical stakeholders, run discovery and technical evaluations, execute territory plans, use MEDDPICC and sales tools, and coordinate handoffs with Solutions Architecture and Customer Success.

As a Field CTO, you'll advise customers on DevSecOps, AI, and security strategies, working with executive stakeholders to optimize technology use and software delivery for enterprises.

As an Engagement Manager, you will drive customer partnerships, design professional services engagements, and lead large-scale DevSecOps initiatives. Responsibilities include building trusted relationships, conducting discovery sessions, structuring proposals, and managing account escalations to ensure customer success and satisfaction.

Own and improve Delivery operations workflows connecting customer demand to capacity planning, cost visibility, reporting, and execution. Lead Jira infrastructure, staffing and cost models, build dashboards and decision-useful materials, partner cross-functionally, and drive automation and AI to simplify recurring work. Maintain operating cadences and support strategic planning; travel up to 10%.

Lead Pfizer's Rare Disease Health IT strategy and customer engagement with leading health systems in the Southeast. Advise on EHR-enabled tools (CDS, order sets, patient portals), support account teams, influence Health IT strategy and governance, attend HIT conferences, and travel up to 35% to advance population health and care management initiatives.

Senior pre-sales Solutions Consultant supporting US commercial accounts. Partner with sales to discover requirements, deliver product demonstrations, run POVs, develop RFP responses, articulate business value, and provide product feedback. Engage with stakeholders across IT and business, travel as needed, and help build technical collateral and subject-matter expertise in identity security.

Lead design and delivery of scalable Salesforce solutions, provide technical leadership on implementations and integrations, enforce development best practices, manage data modeling and migrations, optimize platform performance, collaborate with stakeholders, and mentor developers to ensure secure, maintainable Salesforce architecture.

Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.

Lead Deepgram's demand-generation function end-to-end: set strategy, build an AI-native repeatable demand system, run integrated performance campaigns (paid, web, events, field), partner with Sales and RevOps to convert leads to revenue, hire and grow a high-performing team, and establish attribution and reporting that ties spend to pipeline and revenue.

As a Partner Success Engineer at Deepgram, you will drive partner engagement, manage technical enablement, and ensure successful integration of AI solutions, while continuously optimizing workflows and fostering collaboration across teams.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

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.

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Develop, test, and operate software supporting radiometric calibration and performance of a satellite constellation. Maintain CI/CD pipelines, cloud-based distributed services, and production operations. Collaborate with scientists and SMEs to commission sensors, design new services, ensure reliability, troubleshoot issues, and drive software best practices across RadCAM and broader engineering teams.

The role involves technical interface management, system-level trades evaluation, design troubleshooting, and compliance with electrical standards for space systems.

The role involves architecting and testing complex systems, working with software developers to create and execute test plans based on requirements, and utilizing automated testing tools. Candidates will also focus on continual improvement and research for innovative solutions.

Manage multi-state regulatory compliance and licensing for a transportation network company; lead legislative and policy engagement; oversee a small litigation portfolio including labor and civil claims; advise cross-functional teams on AI, data use, and contract/regulatory implications; draft filings, respond to investigations, and build AI-enabled compliance workflows.

Guide loan applications through origination by analyzing bank statements, validating documentation to KYC/CIP standards, identifying missing information, coordinating with underwriters and internal teams, and maintaining high data accuracy and integrity throughout the lending lifecycle.