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

Leads complex contract reviews and ASC 606 revenue recognition conclusions, partners with Sales, Legal, Deal Desk, and auditors, and owns revenue controls and SOX compliance. Drives automation of accounting processes, close activities, and revenue systems while addressing complex contract modifications and variable consideration. Builds AI-enabled accounting workflows and manages, mentors, and develops a high-performing revenue accounting team.

Own the three-statement financial model, monthly forecast consolidation, executive and board reporting, long-range planning, and corporate forecasting. The role partners with Finance Systems and cross-functional stakeholders to maintain planning tools, improve forecast accuracy, support AI-driven finance systems, analyze business performance, and inform strategic decisions. It requires strong financial modeling, communication, presentation, and process-improvement skills.

Manage 100–200 mid-market accounts, helping customers adopt Samsara’s IoT platform, achieve measurable operational value, and renew or expand. Build success plans, conduct operational workshops, explain technical integrations, resolve issues with cross-functional teams, and prioritize engagement using AI tooling. The role also contributes to customer success playbooks, workflows, and AI-powered operating motions.

Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, legal, and compliance stakeholders. Build investigation scripts, runbooks, automated workflows, and security operations capabilities. Mentor engineers and support insider threat initiatives while collaborating across teams on cloud security and incident response.

Manage strategic relationships with enterprise fleet customers using Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, coordinate cross-functional responses, drive customer value, and mentor Customer Success team members. The role requires enterprise SaaS experience, technical product knowledge, strong stakeholder communication, and strategic problem-solving.

Manage Samsara’s largest and most complex enterprise customers, driving platform adoption, business transformation, and long-term value. Develop joint success plans, lead executive business reviews, recommend workflow improvements, and align customer goals with Samsara’s roadmap. Partner cross-functionally with Sales, Support, Product, Finance, and Legal while influencing strategic initiatives and supporting multi-year operational transformations across industries.

Own commercial navigation features end to end across mobile, backend, and web surfaces. Build reliable, customer-facing navigation experiences for commercial fleets despite poor connectivity, dynamic schedules, and changing routes. Define product priorities and success metrics, ship maintainable and tested code, improve observability, and collaborate with product, design, Maps, Telematics, and adjacent engineering teams. The role requires strong customer focus, technical depth, and the ability to make practical tradeoffs in ambiguous problem spaces.

Own the roadmap and end-to-end seller experience for quoting, approvals, and opportunity workflows across Salesforce and CPQ. Discover high-impact problems with Sales, Deal Desk, Finance, and Engineering; build prototypes, dashboards, internal tools, and AI-assisted workflows; measure adoption and business impact; and iterate solutions for scale. The role requires hands-on product development, strong stakeholder management, and expertise in go-to-market systems.

Build and operate production machine learning systems for Safety AI, including low-latency APIs, data pipelines, model serving, evaluation, monitoring, and rollout infrastructure. Process large-scale camera and telematics data, optimize cloud and edge-to-cloud execution, track model performance and drift, and partner with applied scientists, firmware engineers, platform teams, and product managers to deliver reliable safety features.