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

Develops and maintains Power BI dashboards, reports, KPIs, low-code applications, and workflow automations. Translates business requirements and complex analysis into actionable insights, partners with data engineering on governed datasets, and manages solutions through testing, deployment, documentation, training, and ongoing support. The role also contributes to reporting standards, supports data literacy, and provides informal guidance to junior developers and interns.

Own the MixMode platform’s inbound and outbound integration ecosystem, including connectors, APIs, data formats, and integrations with SIEM, SOAR, ticketing, and data lake tools. Define and prioritize the roadmap, lead discovery, write requirements, coordinate Engineering and Data Science delivery, measure adoption and reliability, and support go-to-market activities. The role requires strong enterprise product management, technical integration experience, customer engagement, and the ability to operate effectively in a fast-moving startup.

Provides administrative support to the People & Culture team, assisting with volunteer recruitment, application tracking, onboarding, orientations, interviews, records, internal communications, feedback collection, and team development initiatives. The role helps organize training and culture resources, supports volunteer engagement, and handles sensitive information confidentially. A minimum commitment of 10 volunteer hours per week is required.

Support the design and development of Starfish Space’s Otter satellite-servicing vehicle. Responsibilities include analyzing satellite subsystems and system architecture, coordinating spacecraft assembly, improving build processes, testing mechanical, electrical, and fluidic systems, and collaborating with technology partners. The role focuses on autonomous robotic servicing missions and requires work from Littleton, Colorado.

Develop marketing measurement strategies, dashboards, data pipelines, attribution analyses, and media mix models. Partner with clients and internal teams to translate business questions into KPIs and actionable recommendations. Build automated data tools, QA processes, and reporting solutions using BI platforms, Python or R, SQL, and marketing data sources. Evaluate AI-assisted tools and support responsible adoption while managing multiple client projects.

Full-cycle, quota-carrying AE owning territory end-to-end: self-source pipeline, run discovery, build ROI business cases, partner on demos, and close $30K-$100K+ deals to hit ~ $1M quota. Maintain Salesforce, move fast on ~45-day cycles, and travel ~40%.

Build and maintain dbt SQL models, data pipelines, curated datasets, reports, and dashboards supporting state partners, customers, Finance, Operations, and executives. Own external and internal Metabase environments, support the data warehouse, and establish consistent metric definitions across technical and non-technical teams. The role also requires analytics support, stakeholder communication, and experience with Airflow, Python, and Git-based workflows.

Manage inbound and outbound sales activities, including calls, consultations, emails, lead follow-up, objection handling, and closing. Educate prospects about hearing solutions, maintain accurate Salesforce records, manage the sales pipeline, and achieve individual sales goals and KPIs in a remote, customer-focused environment.

Designs, builds, calibrates, validates, and operates instrumentation and data acquisition systems for aerospace and energetic materials testing. Responsibilities include sensor selection, DAQ configuration, calibration management, test documentation, test stand integration, post-test data review, troubleshooting, and maintaining measurement accuracy and data integrity. The role also mentors junior personnel and supports safe operations in high-consequence test environments.

Own the customer-facing Superhuman experience and Console, including live conversations, builder tools, self-serve activation, analytics, personalization, and weekly releases. Partner with design, engineering, and leadership to improve time-to-value, retention, and customer outcomes. Lead product decisions across web, voice, and video experiences while enabling customers to create, tune, test, and measure AI-powered revenue teammates independently.