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

Build and ship production-grade AI features by embedding with clinical, product, and operations teams. Own solutions end to end, including architecture, evaluation, validation, governance, deployment, monitoring, and human-in-the-loop safeguards. Develop agentic capabilities using tool calling, RAG, MCP integrations, and orchestration on AWS Bedrock. Establish acceptance criteria and risk controls, contribute reusable platform assets, and improve AI fluency across teams. The role requires strong Python, cloud engineering, full-stack development, and experience delivering validated AI features in production.

Leads quality engineering for healthcare provider, patient workflow, and diagnostic reporting products. Responsibilities include risk-based test strategy, manual and automated testing of web, mobile, API, and backend systems, accessibility validation, defect management, root cause analysis, CI/CD test integration, quality process improvement, stakeholder communication, and mentoring. The role also contributes to performance and security testing while driving reliable, user-centered product releases.

Own product operations and organizational readiness for launches, rollouts, pilots, and process changes. Build change-impact assessments, enablement, communications, adoption measures, feedback systems, and launch processes. Partner cross-functionally with Product, Clinical, Operations, Marketing, Support, and TPM teams to identify risks, improve workflows, synthesize user feedback, and turn operational insights into product recommendations and continuous improvements.

Build and scale sales enablement across direct-to-consumer, physician partnership, and enterprise teams. Develop selling strategies, onboarding, training, coaching, certifications, playbooks, talk tracks, and sales content. Analyze sales performance and call observations to improve seller capability, adoption, productivity, ramp time, and conversion. Partner cross-functionally with Sales, Marketing, Product, Clinical, Legal, and Sales Operations while personally delivering hands-on enablement programs in a 0-to-1 environment.

Own full-cycle recruiting for 8–15 concurrent requisitions across clinical, engineering, product, AI, operations, corporate, and commercial functions. Partner with hiring managers and senior leaders on role definition, sourcing, structured interviews, candidate assessment, offer negotiations, and hiring decisions. Build passive talent pipelines, manage candidate experience, and adapt recruiting strategies across multiple geographies and time zones.

Lead qualitative UX research across the patient journey, including study planning, recruitment, moderation, synthesis, and stakeholder storytelling. Build repeatable research practices, toolkits, and outreach channels while partnering with Design, Product, clinics, and quantitative researchers. Conduct privacy-conscious research involving sensitive healthcare decisions, considering HIPAA and IRB requirements. Translate patient goals, barriers, and mental models into actionable product and experience improvements.

Build and operate production-grade data pipelines and models connecting marketing, event, operational, and SaaS data into Databricks. Own data quality, testing, monitoring, lineage, orchestration, attribution, identity resolution, and governed semantic-layer contributions. Partner cross-functionally on privacy-aware data flows, event taxonomies, and reliable Growth data products while improving engineering standards and maintainability.

Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.

Own revenue forecasting, annual planning, long-range planning, scenario analysis, driver-based financial models, and performance reporting. Partner with Sales, Marketing, Expansion, Data, Product, Strategy, and Accounting to analyze revenue drivers, pricing, capacity, unit economics, and growth initiatives. Present actionable insights to executives and the Board, improve forecasting systems and data governance, and lead one FP&A direct report.

Own the strategy, architecture, roadmap, governance, and operations of the marketing technology ecosystem. Lead CRM, marketing automation, CDP, analytics, attribution, experimentation, personalization, data integrations, and automation initiatives. Partner with Marketing, Growth, Data, Product, and Engineering leadership; manage vendors, contracts, budgets, implementation, adoption, data quality, and operational risk. Provide technical direction and mentorship while translating complex decisions for executive stakeholders.