Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Own brand and product writing across campaigns, launches, and user touchpoints. Translate complex AI and product functionality into clear, compelling language; shape content strategy; collaborate with Product, Engineering, Marketing, Legal, Design, and Research; manage multiple projects; advocate for users; elevate writing quality; and mentor other writers.

Own technical relationships with regional reseller and VAR partners, serving as their primary Huntress advisor. Train partners, run demonstrations and proof-of-concept evaluations, onboard deployments, support customer opportunities, address technical objections, develop enablement materials, and track partner activity in Salesforce. The role requires translating cybersecurity concepts into business value and collaborating across teams to drive partner readiness, pipeline, and successful customer outcomes.

Own technical relationships with regional reseller and VAR partners. Train partners, conduct demonstrations and proof-of-concept evaluations, support customer opportunities, onboard deployments, address technical objections, coordinate internal dependencies, and track partner activity in Salesforce. The role requires technical sales experience, VAR or reseller experience, cybersecurity knowledge, and the ability to translate complex concepts into business value.

Own product marketing for Huntress Managed ITDR and ISPM, including positioning, messaging, launches, campaigns, sales enablement, and market evangelism. Partner with Product, Revenue Marketing, Brand, Sales, and security teams to translate identity-security capabilities into compelling customer value. Develop content and enablement that drive pipeline, conversion, account expansion, and adoption while using AI-supported workflows for research, messaging, campaigns, and presentations.

Provide frontline member support through phone, chat, and email. Explain healthcare benefits and claims, guide members toward quality care, resolve complex issues, de-escalate concerns, collaborate across departments, escalate feedback, follow evolving procedures, and protect member privacy under HIPAA and data security requirements.

Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.

Lead strategic State DOT and state/local government accounts, growing existing relationships and developing new revenue opportunities. Manage complex enterprise sales cycles involving discovery, solution development, RFPs, procurement, negotiation, and close. Build executive relationships across transportation, GIS, engineering, IT, and procurement stakeholders; coordinate internal and partner teams; maintain account plans, pipeline forecasts, and CRM discipline. Travel primarily within the United States as business needs require.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

Lead the technical direction for Deepgram’s Console team, architecting developer-facing products including Console, Playground, account management, billing, analytics, and AI tooling. Build full-stack features, guide large cross-functional projects, drive self-serve growth infrastructure, mentor engineers, establish technical standards, and partner with senior leaders on strategy, prioritization, and product-led growth.

Leads and scales a team of Technology Integration Specialists responsible for customer integration delivery. Oversees discovery, architecture reviews, API specifications, technical escalations, project execution, and integration quality. Partners with Sales, Product, Engineering, Implementation, and Customer Success to improve processes, manage risks, support technical discovery, and shape integration strategy. Provides people leadership, customer guidance, and hands-on technical oversight without owning software development.

Develop enterprise sales strategies, grow and retain strategic accounts, build executive relationships, consult on T-Mobile solutions, generate and close high-value opportunities, negotiate complex contracts, and provide accurate sales forecasts and performance reporting. The role requires managing existing and prospective enterprise clients, coordinating cross-functional execution, and aligning wireless and technology solutions with customer business objectives.

Evaluates IT general controls, application controls, and business processes for technology risk and SOX Section 404 compliance. The role performs walkthroughs, control testing, data analysis, access reviews, audit documentation, and compliance assessments. It interviews control owners, identifies deficiencies, supports remediation, and communicates findings to audit leadership. Candidates need foundational IT, database, control, and spreadsheet knowledge, strong communication skills, and 0–2 years of relevant experience.

Build and operate AI-driven automation platforms for DISH Beta testing and quality assurance. Develop Python-based AI/ML pipelines, automated test scenarios, predictive quality models, telemetry analytics, dashboards, and executive reporting. Integrate LLMs, vector databases, RAG architectures, MCP, and multi-agent systems into production-grade solutions. Use tools including Witbe, PyTest, and agentic coding platforms to improve testing scalability, release readiness, and product reliability.

Apply established machine learning techniques—including clustering, classification, and anomaly detection—to ICS/OT cybersecurity data. Integrate model outputs into batch and near-real-time pipelines, evaluate third-party models, maintain reliable data contracts and observability, and troubleshoot production issues such as data drift and output quality. Collaborate with AI engineers, data engineers, and product teams while clearly communicating model behavior, uncertainty, and downstream use.