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

Own a territory to land and expand emerging enterprise accounts. Source opportunities, run discovery, demos, POCs and mutual close plans, manage complex sales cycles and customer relationships, collaborate with SDRs/SCs/Customer Success, and meet quarterly and annual targets.

As a Senior Software Engineer, you will design and implement AI technologies to address complex logistics challenges and mentor team members.

Design, build, and maintain reports and dashboards; develop and optimize SQL queries; ensure data quality and performance; collaborate with stakeholders to gather requirements; troubleshoot data issues; train clients on BI tools; and support ETL, data pipelining, and data warehouse-related tasks.

Manage multiple project deliverables, allocate resources, track budgets, and ensure clear communication with stakeholders to meet client expectations.

The Fermentation Associate operates fermentation vessels, conducts CIP, media prep, and assists in food processing while ensuring safety and quality standards.

Teach online English to Chinese students with fixed schedules and long-term student-teacher pairings. Deliver lessons following YiYiEnglish methodology, build student relationships, complete onboarding including video questions and demo, and commit to a stable schedule for at least six months.

The Compensation Manager will manage compensation programs, provide strategic business support, partner with HR, and utilize data analytics for effective compensation solutions.

Embed with top users to pair on shipping and scaling apps, perform code reviews and optimizations, unblock projects, collaborate with product engineering, and build tools, docs, and systems to improve the platform and user workflows.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Lead ML strategy and delivery for Documents & Biometrics. Define AI/ML roadmap, drive technical excellence across model lifecycle, build scalable MLOps and data pipelines, mentor senior teams, ensure ethical, compliant ML deployment, and collaborate cross-functionally to deliver measurable business impact.