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

Designs and implements embedded satellite command-and-control, mission planning, and data analysis software. Performs full software lifecycle activities (requirements, architecture, design, coding, testing, integration, documentation, support) and maintains on-site engagement. Works across programs using CI/CD, containerization, cloud, and modern web/back-end/front-end technologies.

Design, develop, and test C++ software for RF processing, radar systems, simulations, and toolchains. Translate algorithm descriptions into software, integrate radar systems with experimental data and analytical tools, optimize performance, and participate in code reviews. Collaborate with cross-functional engineering teams to define requirements and deliver reliable, scalable solutions. The role is performed onsite five days per week and requires an active Secret clearance with eligibility for Top Secret/SCI.

Systems Engineering Intern supporting aerospace and space missions through model-based systems engineering, requirements management, performance modeling, risk analysis, interface definition, test planning, hardware testing, and data analysis. The role may involve Cameo, DOORS, MATLAB, Python, RF, radar, antenna, optical, LiDAR, or laser technologies. Interns collaborate with technical experts, customers, and cross-functional teams in an on-site laboratory, production, cleanroom, or office environment.

Leads Cloudflare’s growth sales segment for AI and startup accounts, driving new customer acquisition and enterprise expansion. Responsibilities include owning revenue targets, recruiting and coaching a sales team, selling cloud and developer platform solutions, converting self-serve usage into enterprise agreements, and building relationships with founders and venture capital partners. The role requires expertise in cloud infrastructure, SaaS, developer platforms, AI workloads, modern application architecture, and hybrid product-led and enterprise sales motions.

Provides customer support for an online gambling platform through live chat, telephone, and email. Investigates and resolves inquiries, complaints, and account issues using internal tools; escalates matters as needed; communicates policies and licensing requirements; supports responsible gambling; and contributes to service-improvement initiatives. The role includes an eight-week training program and requires flexible evening, weekend, and holiday scheduling.

Develop and maintain sports trading and tools applications and platforms using .NET, C#, and SQL Server. Build scalable, low-latency, highly available software handling high-volume real-time data. Support existing 24/7 trading systems, perform root-cause analysis, collaborate with product owners and testing teams, contribute to solution proposals and estimates, and mentor technical team members. The role will also expand into Golang, React, and Google Cloud Platform.

Develop and evolve a high-throughput, low-latency US sports betting platform using distributed systems and microservices. Build resilient, scalable services for peak sporting events, collaborate with technical and non-technical stakeholders, contribute to architectural direction, and mentor junior engineers. The role also involves cloud infrastructure, Kubernetes, reliability, concurrency, debugging, and delivery of quality software in an agile environment.

Develop and close business with enterprise clients, building executive relationships, resolving issues, and exceeding sales quotas using a consultative approach.

Own go-to-market strategy and product-led growth initiatives for AI-powered SaaS products. Develop launch plans, positioning, messaging, customer acquisition strategies, sales enablement, and campaigns. Use customer insights and data to refine product and marketing strategy, influence roadmap decisions, and identify market opportunities. Collaborate cross-functionally with product, sales, demand generation, communications, content, lifecycle, channel, and partnership teams to drive awareness, adoption, and revenue growth.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Build and operate low-latency market data systems for institutional trading, including feed handlers, normalization pipelines, venue connectivity, and distribution services. Develop high-throughput services, improve reliability and performance through observability and incident response, participate in on-call support, and collaborate with engineering and product teams. The role requires production backend engineering experience, market data infrastructure expertise, Java or C++, messaging frameworks, and exchange connectivity protocols.

Owns and optimizes resilient, ultra-low-latency network and physical data-center infrastructure for institutional trading across cloud and on-premises environments. Designs routing, multicast, segmentation, firewall, VPN, telemetry, and automation systems. Leads production changes, incident response, failover testing, maintenance, and on-call support for 24/7 trading platforms. Mentors engineers and partners with SRE, product, and trading-system teams to improve reliability and developer velocity.

Leads product design for Gusto’s Consumer Banking and SMB Banking products. Manages and grows a design team, establishes shared rituals and planning practices, coaches designers, partners with product and engineering leaders, and stays hands-on with high-stakes design decisions. The role collaborates with Risk, Compliance, Legal, Data, and Operations on regulated financial products while setting quality standards, supporting career development, and representing Banking design needs to senior leadership.

Manage and grow a portfolio of strategic accounting firm partners for Gusto Pro. Drive revenue and usage through account plans, QBRs, upsells, renewals, and new partner acquisition. Build relationships across partner organizations, coordinate cross-functional enablement, surface product feedback to inform roadmap, use AI-powered workflows in daily work, and represent Gusto at industry events and partner meetings.

Workforce Management Analyst responsible for multi-department scheduling, intraday staffing decisions, queue and skill routing, performance analysis, dashboards, and WFM automation. The role partners with operations leaders and vendors, administers WFM and routing tools, responds to real-time alerts through PagerDuty, and drives actionable insights and staffing improvements. AI fluency, scripting, analytics, and contact center WFM expertise are central to the position.

Own strategic enterprise deals within TMT, consistently achieve quotas, build C-level relationships, develop solution knowledge and competitive proposals, and coordinate internal teams to close large contracts.

Lead and coach enterprise sales teams serving Sports Media and Entertainment accounts. Drive net-new logo acquisition, ARR growth, complex seven-figure SaaS deal closures, pipeline generation, forecasting, executive engagement, and vertical go-to-market strategy. Collaborate with Solution Engineering, Product Management, and Marketing to tailor offerings and achieve aggressive commercial goals.

Lead North America enterprise sales for the manufacturing sector, driving net-new logo acquisition, ARR growth, and complex seven-figure SaaS deals. Manage and coach 4–6 sales leaders and 20+ account executives, guide strategic sales cycles, engage C-level buyers, oversee forecasting and pipeline execution, and develop manufacturing-specific go-to-market strategies. Collaborate with solution engineering, product management, and marketing to expand market penetration and deliver measurable customer value.

Lead public sector security compliance initiatives, including FedRAMP continuous monitoring, audits, certifications, GRC strategy, compliance automation, documentation, customer support, and regulatory analysis. Collaborate with IT, Product, Engineering, Security, Legal, auditors, and government customers to strengthen compliance across GitLab’s SaaS and self-managed offerings.

Lead GitLab’s talent brand strategy and employer value proposition across the candidate journey. Develop integrated recruitment marketing campaigns, editorial content, recruiter resources, events, and scalable content systems. Partner with Talent Acquisition, Marketing, Communications, and business leaders to support hiring priorities and improve candidate experiences. Use performance data, audience insights, feedback, and market trends to evaluate campaigns, guide priorities, and increase candidate engagement and conversion.

The Talent Brand Manager will shape GitLab’s employer brand through recruitment marketing, storytelling, campaigns, and candidate education. Responsibilities include translating the employer value proposition into messaging, creating cross-channel campaigns and team-member stories, improving candidate journey touchpoints, analyzing funnel and engagement metrics, and partnering with Talent Acquisition and cross-functional stakeholders. The role also manages projects and external partners while improving talent brand processes, reporting, and operations in a fully remote environment.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

As an Embedded Systems Engineer, you will develop and ensure the reliability of roadside systems, creating schematics and coding for hardware-software integration.

Build and ship computer-vision models end-to-end: dataset curation, training, deployment, and monitoring across cloud and roadside edge hardware. Optimize for high-volume inference, accuracy, efficiency, and real-world robustness while collaborating cross-functionally and iterating rapidly.

Build and ship production machine learning and computer vision systems processing 11 million daily images. Own the full lifecycle from sensor data collection, dataset curation, training, and deployment through monitoring and iteration. Develop detection, segmentation, classification, embedding, and re-identification models for cloud and roadside edge hardware, balancing accuracy, speed, and power efficiency. Apply both classical computer vision and state-of-the-art methods while writing production-quality software.