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

Manage and prioritize facilities capital projects across the portfolio, align with leadership, lead cross-functional teams, deliver projects on schedule and budget, perform financial and data analysis, use PMP methodologies and tools, negotiate with contractors, mentor junior staff, and improve project management systems.

Design and certify Mechanical Ground Support Equipment (MGSE) and Special Test Equipment from concept through delivery. Perform CAD modeling and design analysis, define interfaces, support manufacturing/assembly/testing, manage requirements and change control, provide technical oversight of subcontracts, and deliver sustaining engineering through first use while meeting cost, schedule, and technical requirements.

Lead design, development, integration, and test of spacecraft optical communications subsystems (Lasercom). Manage vendors, define requirements and interfaces, perform analysis (link budgets, uncertainty), oversee hardware delivery and verification, report cost/schedule/technical status, lead IPT activities, support commissioning/operations, and produce technical documentation and presentations.

Lead technical discovery, design architectures, deliver demos/PoCs, drive onboarding and adoption, carry quota for new business and expansion, act as trusted advisor, and leverage AI-augmented workflows to automate routine tasks.

Manage SharkNinja's strategic Sephora account(s), driving revenue, margin, distribution, and omni-channel goals. Lead cross-functional teams, develop strategic plans, perform financial and POS analysis, manage promotions and forecasts, optimize supply flow, and deliver flawless execution to grow market share and profitability.

Lead North American programmatic display, audio and video buying to drive conversion and ROI. Develop and implement omnichannel programmatic strategies, analyze performance and incrementality, collaborate with brand/CRM/compliance teams and external agencies, manage projects, and optimize campaigns using programmatic platforms and analytics tools.

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.

Lead and scale Dropbox's global revenue operations across SMB, Mid-Market, and Enterprise. Own revenue planning, forecasting, incentives, systems, analytics, and GTM infrastructure. Drive forecasting rigor, territory design, KPI tracking, cross-functional processes, and AI-enabled productivity improvements. Build and lead a high-performing Revenue Operations team partnering with Sales, Finance, Marketing, Product, and Customer organizations.

Lead end-to-end design for enterprise SaaS features in the Risk Cloud platform. Craft complex, data-dense user journeys and AI-assisted interactions, evolve the design system, conduct qualitative and quantitative research, and partner closely with Product and Engineering. Mentor mid- and junior designers and drive design strategy, discovery, and delivery to improve usability and product outcomes.

Serve as first-line member support via chat and ticketing, resolving entry-level issues (payments, loyalty), triaging and escalating complex cases, documenting interactions, collaborating with internal teams and BPO partners, staying current on product changes, and delivering patient, organized digital customer service.

Lead and scale a talent acquisition function by building and coaching a recruiting team, deploying modern talent tech and analytics, improving candidate experience and employer brand, partnering with business leaders on workforce planning, and measuring quality-of-hire and candidate sentiment to drive hiring outcomes.

Provide coast-to-coast support for independent hardware and paint stores across Rundoos ERP: troubleshoot POS, inventory sync, accounting reconciliation, and reporting; perform spreadsheet-based data analysis; escalate and document bugs with Engineering; maintain SLAs and contribute to knowledge base and training resources.

Lead design and delivery of high-scale, resilient distributed inference data plane services. Architect and optimize inference hosting (tensor/data parallelism, KV-cache routing, prefill/decode disaggregation), contribute upstream open-source projects, mentor engineers, and maintain operational excellence and SLOs for a multi-tenant AI inference cloud.

Lead architecture and low-level optimizations for high-performance AI inference. Benchmark and tune GPU kernels, memory and precision management, parallelize across multi-node GPU clusters, implement quantization (FP8/INT8/FP4), advise on hardware/software stacks (CUDA/ROCm/Triton/TensorRT), mentor engineers, and collaborate to turn hardware limits into shippable inference products.