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

Manages accounts receivable and revenue recognition under GAAP and ASC 606, including billing, collections, reconciliations, journal entries, monthly close, and reporting. Resolves billing discrepancies across Salesforce, billing systems, and NetSuite; maintains internal controls; supports audits; communicates with customers; and drives billing-to-cash process improvements and automation.

Lead strategy and execution of an omni-channel lifecycle program for 2M+ monthly users across email, push, in-app, and web. Own Braze integration, lifecycle roadmap, calendar, reporting, AI-driven automation, and cross-functional delivery while hiring and managing a lifecycle team to improve activation, retention, and LTV.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Provides complex member support across phone, chat, and video channels; resolves escalated inquiries, complaints, HelpDesk tickets, and operational issues. Reviews interactions for quality assurance, coaches frontline staff, supports onboarding and training, monitors service trends, and identifies process improvements. Performs specialized financial service tasks while ensuring compliance with credit union policies, regulations, confidentiality, and data integrity.

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.

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.