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

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.

The position involves providing legal support for FinTech products, negotiating partnerships, drafting agreements, and ensuring compliance with financial regulations. The role requires expertise in embedded finance and advising on financial products.

Build and operate scalable backend services and integrations for chat, voice, and agent-assisted support. Improve reliability, performance, and AI-driven capabilities; collaborate across product, design, AI, and operations; mentor engineers and lead technical design and architecture.

Manage and grow a portfolio of fleet and mobility B2B accounts across the Northeast. Drive retention, expansion, pipeline progression, negotiations, and profitable deals. Build executive relationships, maintain CRM and forecasts, partner cross-functionally to deliver solutions, and travel frequently to customer sites.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.

Own full sales cycle to grow Venue customers across investment banks, private equity, law and corporate accounts. Prospect, network, run demos, execute territory plans, collaborate with cross-functional teams, update Salesforce, and close deals while organizing events and attending conferences to drive revenue and client satisfaction.

Partner with sales leadership to improve forecast accuracy, analyze pipeline health, build quota and territory models, create KPI dashboards, optimize GTM processes, and present data-driven recommendations to executives to drive revenue and operational efficiency in a SaaS environment.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Lead and scale GitLab's procurement function: build strategy, policies, vendor relationships, and procure-to-pay processes. Drive hyperscaler and strategic vendor negotiations, implement AI-first automation, define KPIs, partner with stakeholders and auditors, and develop a high-performing procurement team to support responsible growth and operational efficiency.

Lead and grow a Data Foundations engineering team building high-throughput, reliable data platforms. Drive architecture and delivery for ingestion, buffering, enrichment, replication, storage, and query layers (ClickHouse, CDC, event streaming), ensure operability across SaaS/Dedicated/Self-Managed/Cells deployments, hire and coach engineers, and collaborate cross-functionally to deliver customer-facing reporting and search capabilities.

Provide advanced support and escalation for SD-WAN services for mid-market customers: troubleshoot SD-WAN overlays and underlay circuits, resolve routing and connectivity incidents, coordinate hardware replacements, perform service assurance and change requests, monitor network performance, document resolutions, and participate in on-call and after-hours support.

Lead an agile team to design, implement, and maintain enterprise C# (ASP.NET) applications. Build features, troubleshoot full-stack issues, mentor engineers, integrate AI-assisted tools, design automated test suites (unit, integration, end-to-end), and maintain CI/CD pipelines to ensure high quality, performance, security, and availability.

Lead end-to-end enterprise SaaS implementations for MGA insurance customers: gather requirements, configure applications, manage data conversions, run UAT and training, align stakeholders, write SOWs, mentor consultants, and ensure projects deliver on time, budget, and quality while feeding product feedback to engineering.

Prospect, generate, qualify, and develop sales pipeline for insurance agencies using lead management processes and Salesforce. Collaborate with Marketing and Sales to execute campaigns, set meetings/demos, and route qualified opportunities to quota-carrying sales reps while meeting monthly/quarterly targets.

Lead strategy and execution for automated marketing on behalf of thousands of restaurants. Own campaign creation/automation (email & SMS), diner database and consent model, agentic layer to convert data into marketing actions, marketing measurement standards, and activation/adoption of campaign tools.

Design, harden, and scale Snowflake and AWS data platforms, build dimensional data models and resilient Airflow pipelines, optimize complex SQL, develop dbt semantic layers, deploy ML models in AWS, integrate AI/LLMs into workflows, and build data APIs (FastAPI/Flask) to enable enterprise analytics and operational ROI.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Assess and harden software supply chain security by performing technical assessments, designing and implementing security controls and monitoring for build pipelines, investigating systems for vulnerabilities, creating tooling to address gaps, and leading cross-team projects to improve CrowdStrike's product security posture.