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

Drive expansion revenue within existing customers through high‑velocity outbound and inbound outreach. Make ~60 dials daily, hold consultative calls to uncover upsell/cross-sell opportunities, update Salesforce, hit monthly ARR quota, and use AI-powered workflows to optimize selling and feedback to product teams.

Own a book of existing Gusto customers and drive expansion revenue through multi-product, consultative selling. Responsibilities include building pipeline, using customer signals and AI-assisted prospecting, managing account relationships, prospecting, pitching, negotiating, closing, maintaining CRM data, prioritizing outreach, and forecasting expansion revenue against an ARR quota.

Manage inbound homeowner leads through the full home equity investment sales cycle, from initial education and application support through contract execution. Maintain a high-volume pipeline, coordinate with processors and underwriters, provide compliant guidance, answer questions, request documentation, and meet sales goals. Use Salesforce and internal tools to track applications and communicate next steps while maintaining strong ethics, attention to detail, and customer empathy.

Manage inbound homeowner leads from initial contact through closing for Hometap’s home equity investment product. Educate prospects, answer questions, request documentation, coordinate with processors and underwriters, maintain applications in Salesforce and Hometap Hub, manage a full pipeline, and meet sales targets while ensuring regulatory compliance and empathetic customer service.

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Manage high-volume inbound and outbound customer engagements for SMB accounts, focusing on retention, value realization, contract and pricing discussions, objection handling, and customer outcomes. Use account data and internal tools to inform decisions, document interactions, maintain service levels, surface customer insights, and collaborate with Sales, Support, Product, and Finance to resolve issues and improve the Toast experience.

Design, build, and operate highly available, secure, large-scale cloud services and infrastructure. The role focuses on performance optimization across infrastructure, databases, and APIs; establishing engineering standards; shaping technical direction with Product; and mentoring engineers. The team uses Kotlin, Go, AWS, PostgreSQL, DynamoDB, Terraform, and Apache Pulsar to support distributed, event-driven systems processing billions of requests daily.

Designs and launches repeatable managed service offerings for MSPs, MSSPs, and cloud providers using Rubrik’s cyber resilience portfolio. Owns service blueprints, partner workshops, presales architecture, enablement content, adoption analytics, roadmap readiness, and AI-powered tools. Collaborates with Sales, Product, Engineering, Marketing, and strategic partners to turn concepts into scalable, priced, launched, and adopted services. Requires deep expertise in backup, recovery, cloud infrastructure, virtualization, compliance, and significant partner travel.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Drive revenue growth for Zscaler’s security operations product portfolio within a designated region. Own territory quota, develop account-based strategies, sell to C-suite and technical stakeholders, and partner with solution engineers and sales teams to close complex deals. The role focuses on cloud security, vulnerability management, deception, threat hunting, and AI-driven security solutions while building customer relationships and securing new enterprise logos.

Leads end-to-end delivery of AI security solutions for enterprise public-sector customers. Deploys and optimizes Zscaler AI Guard, AI Protect, and SPLX across cloud and Kubernetes environments; designs networking and firewall connectivity; performs automated AI red-teaming, vulnerability probing, and lab replication. Acts as a trusted technical advisor, produces documentation and demos, advocates customer needs, and supports product development. Requires expertise in LLMs, cloud networking, APIs, containers, and security, plus U.S. citizenship, clearance eligibility, and travel up to 40%.

Advises health plans and provider networks on member and patient experience improvement. Leads payer-provider collaboration, performance improvement initiatives, training, coaching, metric interpretation, and end-to-end client engagements. Uses PDSA and healthcare quality frameworks to improve CAHPS, HEDIS, HOS, Star Ratings, and value-based care outcomes. Requires healthcare operations expertise, provider-setting experience, strong presentation skills, and nationwide travel.

Coordinates governance, prioritization, tracking, reporting, and operational readiness for RIS Operations initiatives. Maintains project backlogs, monitors risks and milestones, manages intake and capacity planning, develops executive dashboards, coordinates IT enhancements and deployments, establishes KPI/KRI frameworks, supports business cases and benefits tracking, and improves process documentation and self-service reporting.

Lead AI-enabled tools, analytical workflows, and strategic projects for Dynatrace’s Insights team. Partner with leadership, analysts, data science, engineering, and product teams to design, validate, operationalize, and improve AI-driven processes. Interpret complex data, establish governance practices, train teams, document workflows, track adoption and efficiency gains, and research emerging capabilities. The role requires business-focused AI experience, data analysis, executive communication, process design, and the ability to manage ambiguity and iterative innovation.