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

Serve as SME for industrial-scale liquid cooling: lead design-to-deployment, commissioning, optimization, and lifecycle management of direct-to-chip, cold-plate, and immersion systems. Validate heat balance and fluid chemistry, manage valves/pumps/VFDs and P&ID-based hydraulics, define control logic and alarms with PLC/BMS teams, perform hydro-testing and flow balancing, lead RCA, and develop SOPs, MOPs, and training. Frequent site travel to support troubleshooting and operations.

Partner with the CPO and CTO to run R&D operations: lead operating cadence, OKR alignment, reporting/dashboards, budget governance, and cross-functional strategic initiatives. Triage escalations, drive org design and AI-operating-model projects, and draft executive and board communications to enable prioritized, data-driven R&D decision making.

Own and close complex B2B SaaS deals in the US aerospace & defense vertical. Build and maintain a self-sourced pipeline, manage full sales cycle from discovery through negotiation and close, partner with pre-sales and customer success, capture field intelligence to inform product and GTM, and mentor junior AEs.

The Senior Executive Assistant provides strategic and operational support to C-level executives, managing calendars, travel, communications, and confidential information while ensuring operational efficiency across multiple initiatives.

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 AIT Manager oversees spacecraft integration and test activities, ensuring quality and compliance with program requirements while managing teams and external partners.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.

Lead and grow a team of 6-8 Product Specialist AEs to drive new product adoption and quarterly targets. Hire, onboard, coach, and enable reps; coordinate with Mainline AEs, Sales Engineers, and cross-functional pods (product, marketing, strategy) to optimize GTM, manage pipeline, create account plans, and execute high-value enterprise deals. Embed company culture and scale Specialist support globally.

Lead GTM data governance and strategy to improve Salesforce and GTM system data quality, ownership, and usability. Define KPIs linking data quality to pipeline/forecast accuracy, drive adoption of standards and scorecards, prioritize data improvements, lead cross-functional implementations, and build a team to scale revenue-impacting data practices.

Lead, coach, and develop a team of commercial Account Executives to hit pipeline, forecast, and revenue targets. Run disciplined cadences (1:1s, deal reviews, pipeline inspections), improve pipeline hygiene, coach on discovery and close strategy, drive forecast accuracy, partner cross-functionally, hire and ramp reps, and build a high-performance, accountable sales culture.

Lead regulatory programs for DraftKings prediction markets, manage filings and investigations with the CFTC and other regulators, oversee reporting and compliance monitoring, partner with cross-functional teams to identify and mitigate compliance risks, advise on new products, and represent the company to regulators.

Build and maintain high-scale backend systems and APIs for a 24/7 sports betting platform. Deliver production-ready code, own services end-to-end, resolve production incidents, optimize performance, and mentor peers while collaborating with product and architecture teams.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Lead product vision and multi-year roadmap for Coinbases Compliance Automation platform. Manage PMs to deliver AI/ML-powered sanctions screening, transaction monitoring, suspicious activity detection, and risk-based workflows. Partner with Compliance, Legal, Engineering, and Data Science to scale automation, reduce manual effort and cost, maintain regulatory compliance, and integrate emerging AI technologies.

Lead a team of product managers to define and execute finance transformation and automation across accounting, treasury, reconciliation, and financial reporting. Drive roadmap, stakeholder alignment with finance and engineering leadership, ensure SOX-compliant change management, and identify AI-driven opportunities for scalable finance infrastructure.

Manage all inbound lead flow, rapidly follow up demo/pricing requests, qualify leads against firmographic and behavioral criteria, schedule meetings for AEs, nurture Tier 2/3 leads with persona-driven sequences, maintain CRM hygiene, analyze and optimize outreach performance, and document best practices to improve conversion and handoffs.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

The Events Manager will execute high-impact events and marketing programs, manage logistics, drive attendance, and report on performance, while collaborating with Sales and Product Marketing.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.