Top Tech Jobs & Startup Jobs in CO

Own and scale paid social and premium video channels, including strategy, media buying, optimization, budgeting, creative testing, and incrementality measurement. Build AI-powered workflows for campaign execution, QA, pacing, reporting, and insights. Partner with creative, agency, and product marketing teams while turning performance data into channel and budget decisions. This is a senior individual contributor role requiring extensive paid social, OLV/CTV, data measurement, and AI automation experience.

Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.

Design, build, and deploy scalable Java microservices within an AWS cloud-native platform. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Lead complex backend features, improve engineering practices with AI tools, support observability and reliability goals, and participate in on-call rotations. Mentor engineers and help drive technical simplification across distributed, event-driven systems.

Deliver customer-facing technical solutions integrating monday.com into enterprise technology stacks. Responsibilities include requirements discovery, custom application and agentic AI development, data migration, integrations, technical consulting, production deployment, documentation, and customer enablement. The role also contributes to internal Services tooling and reusable components while collaborating with Product, R&D, account, and deployment teams. This hybrid Denver position requires up to 20% travel and focuses on independently managing complex technical engagements.

Leads technical compliance and federal authorization programs for MongoDB’s public-sector cloud products. Responsibilities include managing FedRAMP High, DoD IL5+, CJIS, and ITAR assessments; coordinating auditors, 3PAOs, agencies, and engineering teams; maintaining continuous monitoring, POA&Ms, security plans, evidence, dashboards, and remediation workflows; mapping NIST controls; advising on cloud security configurations; and mentoring stakeholders. The role requires deep public-sector GRC expertise, strong communication, and the ability to manage complex audits through Authorization to Operate.

Leads Dropbox’s company-wide pricing, packaging, and monetization strategy across product-led and sales-led growth. Develops pricing architecture, AI monetization models, business cases, financial models, experimentation practices, governance, and performance metrics. Partners with Product, Finance, Sales, Marketing, Data Science, and executives to guide high-impact decisions, improve profitability, and translate strategy into execution. Manages and develops a team while expanding Dropbox’s broader monetization capabilities.

Runs scalable customer programs connecting product development and go-to-market teams. Responsibilities include recruiting and engaging customers for pre-PMF testing, coordinating cross-functional stakeholders, establishing operating infrastructure and readiness criteria, managing Customer Advisory Board activities, integrating customer testing into launch processes, and synthesizing feedback into product and GTM decisions.

Owns a strategic Virtual First technology workstream focused on AI enablement, knowledge management, tool optimization, automation, and modern ways of working. Leads organizational research, pilots, experiments, and a portfolio of cross-functional programs from scoping through adoption. Translates quantitative and qualitative findings into recommendations, operating models, and measurable improvements in employee effectiveness, tool confidence, and technology adoption.

Customer-facing Data Consultant responsible for assessing customer data readiness, designing data models and mappings, recommending integration approaches, configuring and troubleshooting integrations, and supporting data governance. The role involves APIs, bulk loads, ETL/ELT, middleware, SQL, and enterprise systems. Responsibilities also include leading customer workshops, mentoring implementation consultants, creating reusable integration practices, collaborating with Product and Engineering, and applying AI tools to improve data mapping, validation, and troubleshooting.

Lead and support end-to-end client software implementations on the Salesforce Force.com platform. Configure Fusion tools, manage testing, documentation, migrations, user stories, project activities, and client demonstrations. Collaborate with internal and client teams, communicate technical information, support multiple projects, pursue Salesforce certifications, and use AI tools to improve efficiency and share best practices.

Build and integrate secure AI assistants and chatbots into geospatial intelligence, analytics, visualization, and mission-support applications. Develop LLM workflows using RAG, prompt orchestration, tool calling, and conversation context. Connect AI services to enterprise data sources and APIs while enforcing identity, authorization, provenance, auditing, and safety controls. Deploy and operate services in Kubernetes and OpenShift, including classified or disconnected environments. Evaluate AI quality, security, latency, and usability.

Develop and maintain full-stack data analytics applications, interactive dashboards, visualization tools, backend services, RESTful APIs, and database integrations. Integrate data sources, analytical models, and processing services into secure, scalable user-facing applications. Collaborate with data scientists, engineers, analysts, and government stakeholders while supporting testing, troubleshooting, performance optimization, CI/CD, and deployment activities.

Develop and operationalize advanced analytics for a large-scale government data platform. Responsibilities include statistical modeling, machine learning, predictive analytics, data exploration, model validation, experiment design, and integrating analytical capabilities into production workflows. The role collaborates with engineers, analysts, and government stakeholders to translate mission requirements into scalable solutions and communicate findings to technical and executive audiences.

Leads high-volume Claude Corps recruiting screening operations, translating hiring goals into weekly targets, assigning work, monitoring delivery, and ensuring consistent candidate evaluations. Manages, hires, trains, and coaches screeners; reviews scorecards and selection quality; maintains Greenhouse data; reports results and staffing needs; and improves processes using AI and automation. The role partners with recruiting and program leadership to support timely, organized, and equitable cohort hiring.

Own recruiting operations for Claude Corps, including Greenhouse data accuracy, pipeline reporting, interview scheduling, candidate communications, offer preparation, and onboarding handoffs. The role manages recruiting systems, inboxes, scorecard tracking, and process documentation while using AI and automation to reduce repetitive work. It partners with recruiting leadership, interviewers, and program teams to improve scheduling efficiency, candidate experience, reporting quality, and operational processes.

Prospects and sells communication solutions to small business clients through consultative needs analysis and full-cycle sales. The role manages leads, meets sales and product targets, maintains CRM records, coordinates order execution, and supports customer satisfaction. It requires daily outside selling, frequent driving and walking, and occasional office work.

Manages supplier engagement and supplier programs focused on small business participation and community sourcing. Oversees program execution, reporting accuracy, supplier performance, analytics, and impact metrics. Partners with leadership and procurement analytics teams, develops supplier initiatives, and supports supplier capacity building through mentorship and networking. Requires office-based work and 10–15% travel.

Prospect and sell Spectrum Business communication solutions to small-business clients through consultative needs analysis. Manage leads from initial contact through close, achieve sales targets, maintain accurate CRM records, and coordinate order execution with internal teams. The role involves daily field-based outside sales, frequent driving and walking, customer communication, sales meetings, and training.

Develop, deploy, maintain, and support mainframe applications for insurance operations including policy administration, claims, and underwriting. Analyze requirements, design and implement code, troubleshoot issues, execute testing, document solutions, and provide production support. Lead smaller projects, communicate with stakeholders, and mentor junior analysts while serving as a subject matter expert in mainframe technologies.