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

Provide technical leadership for major aerospace programs, maintain technical baselines, chair engineering and failure review boards, resolve complex multidisciplinary issues, guide system design, development, testing, and make final technical decisions to ensure mission success and compliance with requirements.

Provide technical vision and architectural leadership for major aerospace programs: define system architecture and standards, conduct feasibility and trade studies, develop technology roadmaps, advise program leadership, drive reusable design patterns and standardization, participate in early-phase proposals and milestones, and translate strategic vision into executable architectures that meet mission objectives.

Lead systems engineering across the product lifecycle: define and trace requirements, develop system architectures, plan and lead integration and V&V, manage technical risks, mentor engineers, and contribute to corporate SE policy and processes to deliver integrated spacecraft and mission systems.

Lead program-level quality planning and execution, ensure requirements flow-down, manage nonconformances and MRBs, drive RCCA and DFMEA/PFMEA updates, liaise with customers, coordinate QA resources, mentor junior staff, and support transition to production.

Design and define EMI/EMC compliance architecture for spacecraft electronics, support subsystem and system-level testing, document test results, perform requirements flow-down and verification, support instrument and spacecraft programs throughout the program lifecycle, and provide system test support during environmental EMC testing.

Lead design, development, integration, and test of space vehicle telecom subsystems. Define architectures, manage requirements/interfaces, perform analyses (link budgets, pointing accuracy), oversee procurement, AIT, LEOPS/on-orbit test, report cost/schedule/risks, and lead a small technical team through program milestones.

Lead the DCIM program for data center operations, manage vendor relationships, and drive continuous improvement for infrastructure performance.

Serve as a quota-carrying technical trusted advisor managing the full customer lifecycle: discovery, architecture, demos/PoCs, onboarding, adoption, and expansion. Drive technical engagements, present to stakeholders, automate routine tasks with AI, and evangelize Cloudflare technologies externally.

Serve as a strategic People Business Partner to R&D leadership, driving organizational design, workforce planning, talent management, change leadership, and AI-driven people insights to align workforce strategy with business goals.

Lead product-focused analytics and experimentation to improve core experience and AI initiatives. Build propensity models and segmentation, create automated dashboards and executive reports, run and monitor experiments, and partner cross-functionally to translate analysis into business impact and drive product decisions.

Lead high-visibility AI-focused design initiatives: define opportunities, own projects end-to-end, execute interaction and visual design, simplify complex workflows, shape design strategy, collaborate with Product and Engineering, influence stakeholders, and use generative AI for exploration and prototyping.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Owner of HR operations systems and automations enabling HRBPs and managers. Design agentic AI tooling, build dashboards and workflows, automate employee processes, establish AI/Legal/IT guardrails, measure adoption and impact, and iterate to improve org health and manager effectiveness.

Lead and scale revenue accounting operations under ASC 606, manage a team of senior accountants, drive month-end close, audit readiness, cross-functional initiatives, process improvements, and adoption of AI/automation to improve accuracy and scalability.

Lead end-to-end development and execution of digital marketing and ABM campaigns; manage the marketing automation stack; define execution strategy and technical requirements; partner with stakeholders to track KPIs, optimize performance, and support lead lifecycle, data hygiene, and workflow automation. Maintain documentation, templates, and campaign best practices.

Lead the architecture and technical vision for AI-powered GTM systems, defining patterns for low-code and custom agentic pipelines. Build reference architectures, design multi-system integrations and RAG/LLM orchestration, evaluate AI tools, drive governance and observability, and partner with GTM leadership to deliver production-grade, scalable solutions.

Lead analytics and reporting for post-sales segments, reconcile data across Salesforce and financial/CS systems, design and enforce renewals and customer success processes, build adoption and retention reporting, and translate insights into recommendations for leadership to improve renewal rates and revenue retention.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead end-to-end Application Security product and program: set strategy, prioritize roadmap, ship AI-powered threat modeling and code-evaluation surfaces, enable secure-by-design SDLC, enforce CI/CD gates, drive vulnerability prioritization/remediation, establish governance and metrics, and align security initiatives with engineering and executive stakeholders.

Design, build, and maintain Salesforce applications and integrations to support institutional sales, billing, and compliance. Own end-to-end feature delivery, collaborate with product and business stakeholders, ensure engineering quality through reviews and documentation, mentor junior engineers, and support operations via on-call rotations and incident triage.

Lead AI-informed workforce capacity planning and forecasting for Compliance Operations. Partner with Finance, Legal, and Ops to build scenario-based staffing models, cost and OpEx forecasts, and drive opportunities from analysis through execution. Communicate capacity risk and regulatory readiness to senior leadership and act as a WFM center of excellence across adjacent teams.

Own end-to-end access operations and permissions governance for an internal platform: design and maintain RBAC models, drive least-privilege remediation, map entitlements for new features, author runbooks and access matrices, and convert tooling/process gaps into prioritized engineering or operational work.

Provide high-empathy support for gig workers via email, chat, and phone; manage Trust & Safety reports; identify product friction and collaborate with Product/Ops; create knowledge resources; and maintain fast, accurate queue management.