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

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Design and build advanced applications, integrate external APIs, and contribute to large open-source codebases for global clients. The role requires strong systems programming, networking, memory management, concurrency, operating-system concepts, data modeling, parallelism, API design, and technical documentation skills. Candidates should learn quickly, take ownership, navigate unfamiliar codebases, identify edge cases, and continuously improve through feedback. The process includes a technical assessment, interview, and OSS hackweek.

Acquire new business within an assigned territory by prospecting, building executive relationships, developing account strategies, managing complex sales cycles, and closing cybersecurity and InfoSec solution deals. The role requires pipeline development, competitive positioning, pricing and contract negotiations, forecasting, CRM management, and consistently achieving sales quotas while engaging senior security and IT stakeholders.

Own the full enterprise sales cycle from outbound prospecting through close, targeting banks and large fintechs. Build strategic account pipelines, develop relationships with senior decision-makers, navigate procurement, legal, compliance, and technical stakeholders, and close complex deals. Partner with the founder on go-to-market strategy, positioning, sales collateral, and customer materials while representing the company at industry events.

Develop thermal-hydraulic models for scientific apparatus using ASME B31.3-2022 for installation at a research reactor. Perform steady-state and transient temperature modeling, work independently, and coordinate with EPC contractors and vendors on costs and budgets. The role is remote, part-time, and temporary, with at least four required site visits to State College, Pennsylvania. U.S. citizenship, background screening, drug-free status, and references are required.

Develop and evolve InMarket’s visual identity across marketing campaigns, digital experiences, sales materials, events, social, and customer-facing channels. Create visual concepts, brand systems, templates, guidelines, landing pages, presentations, and collateral. Collaborate with Marketing, Content, Product, and Sales, manage projects from concept through execution, maintain creative standards, and explore AI-enabled design workflows.

An independent marketing contractor will build and manage digital campaigns, generate and qualify leads, optimize campaign performance, analyze data, improve conversion rates, and independently track results. The role is remote, commission-based, and suited to experienced marketers with at least two years of paid or organic campaign experience. Contractors receive onboarding, systems, training, ongoing support, and flexible work arrangements.

Drive high-volume outbound prospecting into brokerages, wholesalers, agency networks, PEOs, and insuretechs to set qualified meetings for Account Executives. Research accounts, build account maps, craft targeted outreach, handle inbound lead triage, maintain CRM accuracy, and collaborate with AEs to improve go-to-market tactics and pipeline quality.

Own and optimize AgentSync’s go-to-market technology stack, including Salesforce and HubSpot; manage workflows, integrations, permissions, planning, commissions, reporting, and data governance. Build dashboards, maintain data integrity, support deal desk and partner workflows, automate manual processes with AI, document systems, and train GTM teams. Partner with Sales, Marketing, Customer Success, and Finance on forecasting, quotas, territories, and compensation processes.

Design, train, and deploy ML models for Qur'ān recitation, tajwīd detection, and ASR. Build data pipelines for cleaning, segmentation, labeling, and evaluation. Integrate real-time predictions via APIs or lightweight on-device inference, optimize models for speed and mobile performance, and collaborate with backend developers to ship AI features in the app.