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

Leads end-to-end technical execution of complex space-based missions, from concept development through on-orbit operations. Serves as chief technical authority, directing systems engineering, design trade studies, risk mitigation, technical reviews, mission integration, and operational planning. Acts as the primary technical interface with government customers and executives, delivers strategic briefings, mentors engineering teams, and establishes systems engineering standards. Requires deep expertise in space and ground segment integration, hardware lifecycle execution, MBSE, Cameo, and Jama.

Provides technical authority for space-based missions across the full systems lifecycle. Leads mission concept development, CONOPS, design trade studies, technical risk mitigation, governance reviews, hardware execution, systems engineering, and space-ground integration. Serves as a technical liaison to government customers and executives, delivers strategic briefings, mentors engineers, and establishes engineering standards. Requires extensive aerospace systems experience, MBSE expertise with Cameo and Jama, and an active Top Secret clearance with TS/SCI eligibility.

Provides technical authority and end-to-end systems engineering leadership for complex space-based missions. Leads mission concept development, hardware lifecycle execution, design trade studies, technical risk mitigation, requirements management, CONOPS, verification and validation, technical reviews, and operational delivery. Serves as a senior technical liaison to government customers and executives, mentors engineering teams, establishes systems engineering standards, and coordinates multidisciplinary technical execution across space, launch, and ground segments.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Serve as the technical SAP integration expert in pre-sales engagements. Advise prospects on SAP landscapes, APIs, connectors, SFTP, SAML, data structures, and automation workflows. Support late-stage sales opportunities through demonstrations, technical discovery, proof-of-concepts, integration design, and customer-facing documentation. Collaborate with Sales, Solutions Consulting, Product, and Engineering teams to resolve technical blockers and communicate integration requirements.

Leads Samsara’s recruiting operations function, overseeing recruiting coordination and operations managers. Owns the end-to-end operating model, recruiting technology transformation, AI and automation strategy, change management, data-driven performance improvement, executive stakeholder partnerships, and team development. The role requires extensive recruiting operations experience, people leadership including managing managers, and hands-on experience with AI-enabled workflows and recruiting technology transitions.

Lead enterprise customer implementations of Samsara's IoT platform, managing deployments, launch plans, training, and adoption tracking. Serve as primary customer contact, coordinate cross-functional teams, mentor peers, and ensure customers achieve time-to-value and ongoing product usage across fleets and industrial assets.

Manage over 60 SaaS renewals per quarter for commercial accounts, exceeding sales targets and minimizing customer financial attrition. Identify renewal risks, drive platform adoption, negotiate favorable terms, close long-term renewal deals, forecast accurately, and uncover growth opportunities. Collaborate cross-functionally with sales teams, share customer insights, and promote Samsara’s customer-focused culture.

Provides financial analysis, modeling, forecasting, reporting, and budgeting for Honeywell Aerospace’s Avionics business. Partners with senior management and cross-functional teams to support strategic decisions, identify cost-saving opportunities, improve processes, and drive financial performance. The role is based in Phoenix, Arizona, with a hybrid schedule and reports to the Finance Director.

Conduct empathetic live conversations with clients who canceled, missed appointments, or disengaged from care. Help clients rebook, rematch with providers, understand platform tools, and navigate payor-specific programs. Document interactions for handoffs, collaborate with clinical and operations teams, resolve escalations, identify engagement barriers, and contribute to improvements in the client care experience while meeting outreach and productivity goals.

Coach multiple Scrum teams, facilitate Agile ceremonies, improve sprint planning and delivery, remove impediments, and support continuous improvement. The role includes launching and coaching Scrum teams, guiding Product Managers and leaders, tracking Agile metrics, managing risks and dependencies, supporting Agile Release Train launches, and aligning delivery with business objectives. This remote position requires advanced facilitation, coaching, forecasting, and organizational change capabilities.

Owns and executes enterprise sales strategies targeting the U.S. Department of Defense, military branches, defense agencies, and related organizations. Builds executive relationships, manages complex multimillion-dollar sales cycles, develops mission-focused business cases, navigates federal procurement processes, and consistently achieves revenue targets. The role requires significant DoD technology sales experience, mastery of MEDDPICC or MEDDIC, Salesforce proficiency, senior defense relationships, and travel up to 50%.

Leads healthcare consulting engagements focused on nursing systems, clinical workflow redesign, patient experience, and operational improvement. Manages project teams, budgets, timelines, and client relationships while analyzing payer metrics, denial rates, and clinical behavior data. Designs nursing strategies, delivers training and coaching, and provides executive recommendations to health system leaders. Requires extensive nursing leadership experience, analytics proficiency, healthcare performance improvement expertise, and willingness to travel up to 75%.

Owns Ursa Major’s SEC reporting function, leading preparation and filing of 10-K, 10-Q, 8-K, and related disclosures. The role manages MD&A, footnotes, XBRL tagging, U.S. GAAP and SEC compliance, technical accounting matters, internal reporting controls, process improvement, and disclosure systems. It collaborates with Accounting, FP&A, Legal, Investor Relations, auditors, and executive leadership while supporting board and audit committee reporting.

Own and coordinate cross-functional fraud and abuse prevention programs across Trust and Safety, Security, Engineering, Product, Legal, and Finance. Translate abuse trends into prioritized defenses, business cases, metrics, and implementation plans. Partner on payment fraud, chargebacks, account verification, AI-based risk detection, and incident escalation. Drive initiatives to completion without direct authority while balancing fraud risk with legitimate-user experience.

Own the full new-logo sales cycle for GitLab, from prospecting and pipeline generation through closing and post-sale transition. Build territory plans, conduct executive-level discovery, manage complex multi-stakeholder opportunities, articulate SaaS and consumption-based value, and maintain accurate Salesforce forecasting. Collaborate with SDRs, Marketing, Solutions Architecture, and Customer Success while using MEDDPICC and Command of the Message to drive predictable revenue and exceed quotas.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.