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

Lead prompt architecture, governance, and evaluation for consumer-facing career tools. Design multi-agent and chain-of-thought prompt systems, build CI/CD/versioning for prompts, align strategies with engineering and product, establish safety guardrails, evaluate models and tooling, and mentor the prompt management team.

Provide advanced financial planning support to HNW/UHNW clients and advisors: prepare and maintain plans, co-present, coordinate Wealth Solutions deliverables, identify opportunities, and produce thought-leadership and training materials.

Lead product strategy and execution for healthcare-focused solutions: own roadmap and success metrics, run user and stakeholder research, prioritize based on data and value, partner with engineering to deliver scalable solutions, communicate with stakeholders including executives, and coach product managers to improve product craft and outcomes.

Lead and develop a global team managing SaaS renewals and complex contract negotiations. Build scalable renewal processes, improve forecasting and CRM hygiene, partner cross-functionally with Sales, RevOps, Legal, Finance and Product, and translate negotiation outcomes into playbooks to drive retention and commercial growth.

Handle inbound personal-lines service calls: policy changes, billing, verification, payments, quotes, cross-sell, document contacts, update records, and support team service activities while ensuring compliance.

Lead the CRM product vision and roadmap to unify customer experience across Sales, Service, Contact Center, and Retail. Own requirements, backlog, integrations, data standards, and change management. Partner with stakeholders, engineering, and D&A to deliver CRM enhancements, ensure data quality, measure success, and drive adoption and readiness for frontline teams.

Lead ownership and continuous improvement of assigned customer journey stages. Drive cross-functional CX initiatives from analysis through delivery, monitor journey KPIs, perform root-cause analysis, maintain CX backlog and documentation, embed VoC insights, and deliver executive reporting to improve satisfaction, loyalty, and operational outcomes.

Support Learning Services by executing LMS builds, content administration, enrollments, reporting, quality checks, and learner support following SOPs. Track requests, escalate complex issues, and maintain documentation to ensure timely, accurate delivery of training programs.

Manage Western US territory for Hughes Safety Showers, performing direct consultative sales, account management, new account acquisition, regional sales planning, pricing, and trade show support. Heavy customer-facing activity (up to 80% of time) and frequent travel (60–70%). Build relationships with distributors and customers to grow sales and roll out new products while maintaining accurate pricing and activity records.

Own and optimize paid media across search, social, retail media and emerging channels. Manage a six-figure monthly budget, run analytics and testing to improve funnel KPIs and ROAS, oversee retail media (including Amazon), create dashboards, implement tagging/tracking with martech, collaborate with creative/web teams, and leverage AI tools for copy and optimization.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.

Serve as technical lead in pre-sales: architect and demo LanceDB solutions for RAG, vector search, and ML pipelines; run discovery sessions, build POCs, onboard partners, and relay customer feedback to product and engineering.

Lead architecture and productionization of NLP, voice, and ML systems; mentor engineers; integrate AI features with backend services on AWS; build evaluation, monitoring, and responsible-AI safeguards; drive AI strategy and technical vision.