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

Research and analyze vehicle network signals, OEM telematics data, wiring diagrams, and field logs to expand vehicle telemetry coverage. Capture and interpret vehicle network data using live debugging, log analysis, scraping, reverse engineering, and custom scripts. Validate solutions on vehicles and at customer locations, document findings, and collaborate with global engineering and product teams to support new telematics capabilities.

Leads strategic and operational Digital Customer Success projects, coordinating offshore teams, timelines, risks, deliverables, digital customer journeys, webinars, onboarding, and cross-functional programs. Builds project plans, status reports, presentations, and data analyses while maintaining documentation and supporting hiring and onboarding. Partners across Customer Success, Sales, Marketing, Product, Data Science, Support, and Professional Services to improve retention, upsell, and customer experience.

Analyzes customer behavior, marketing performance, and business trends to deliver actionable insights. Builds predictive models, forecasts, dashboards, data pipelines, and self-service analytics solutions. Designs experiments, performs statistical and hypothesis testing, evaluates attribution and customer metrics, and communicates findings through concise presentations to stakeholders and leadership. Collaborates across marketing, partnerships, finance, sales, product, engineering, and machine learning teams to support strategic decision-making.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Deliver GitLab professional services engagements for public sector customers, including installations, upgrades, migrations, training, and advisory work. Plan and execute deployments using infrastructure and configuration as code, lead customer projects end to end, provide technical guidance, manage multiple engagements, and collaborate with project, product, and engineering teams. Mentor other engineers and support customers operating in secure environments requiring active clearance.

Own the strategy, packaging, pricing, billing, adoption, and ROI of Assisted Living and Memory Care products. Partner with ML, data, hardware, software, platform, and finance teams to improve AI model quality, alert reliability, location accuracy, voice experiences, resident baselines, and EHR-connected care insights. Lead customer discovery, monetization validation, roadmap development, and outcome measurement for complex B2B healthcare technology products.

Build and improve high-traffic consumer web experiences using React and TypeScript. Contribute to experimentation, client-side tagging, marketing integrations, attribution, measurement, performance, testing, observability, and privacy-aware development. Collaborate with Product, Design, Marketing, Analytics, Data Engineering, and senior engineers. Break down projects, write reliable and extensible code, support operations and on-call efforts, participate in code reviews, and contribute to team growth.

Leads HiBob’s Americas Customer Growth organization across account management and renewals. Owns expansion ARR, upsell, cross-sell, renewal uplift, NRR, forecasting, pipeline creation, and quota attainment across the existing customer base. Develops managers and commercial teams, establishes operating rhythms, applies Salesforce, Clari, AI, automation, and MEDDPICC, and partners cross-functionally to drive retention and scalable revenue growth across the US, Canada, and Latin America.

Supports Account Executives by leading consultative discovery, delivering tailored technical demonstrations, explaining API integrations and security concepts, and recommending customer-focused SaaS solutions. Collaborates with Product, Customer Success, and Professional Services teams, identifies technical blockers, incorporates customer feedback, and uses data and emerging technologies to improve sales effectiveness. The role requires strong communication, teamwork, curiosity, and comfort engaging both HR and IT stakeholders.

Deploys Hilton’s Property Engagement Platform across hotels through system configuration, database builds, hardware and interface setup, data migration, testing, troubleshooting, training, and technical support. The role coordinates remote and onsite deployments, collaborates with internal and external support teams, mentors associates, and performs project management duties when needed. Travel of up to 80% is required.

Leads group sales for Hilton Aruba and The Westerly, soliciting and negotiating complex group accommodations, contracts, pricing, and agency agreements. Directs sales staff, oversees performance, training, forecasts, budgets, reporting, trade shows, client presentations, and market research. Builds customer relationships, develops sales strategies, monitors departmental performance, and travels domestically and internationally up to 30% of the time.

Leads Hilton’s global HR Technology portfolio governance and program management. Responsibilities include integrated planning, prioritization, resource and capacity management, risk and dependency tracking, executive reporting, cross-functional program execution, vendor coordination, and steering committees. The role modernizes portfolio practices through AI, automation, analytics, and contemporary tools while establishing scalable governance, delivery standards, success measures, and outcome tracking for enterprise HR technology and AI-enabled initiatives.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Owns product operations across roadmap coordination, new product introduction, launch readiness, partner deliverables, financial and revenue analysis, metrics, executive reporting, and cross-functional planning. The role maintains product commitments, drives accountability, leads launch gates, models business impact, coordinates sales and marketing readiness, and supports leadership decision-making through business reviews, planning, and board materials.

Serve as a cloud cost management and FinOps subject matter expert, advising enterprise customers on multi-cloud cost allocation, AI token attribution, Kubernetes costs, budgeting, anomaly detection, capacity planning, and optimization. Partner with field and product teams, create technical collateral, guide implementations, and influence product roadmaps. The role requires strong cloud infrastructure, observability, billing data, Python or SQL, architecture, and consultative customer skills, with travel up to 40%.

Own the security architecture and implementation of Datadog’s Bits Code cloud coding agent from design through production. Build threat models for agentic risks such as prompt injection, secure untrusted workload execution through sandboxing, develop security libraries, guide engineering processes, and support production operations. Collaborate across engineering, product, infrastructure, and security teams while making pragmatic trade-offs and participating in on-call responsibilities.