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

Manages and enhances WWP’s digital warrior experience across MyWWP and related platforms. Responsibilities include platform management, backlog and enhancement planning, stakeholder and vendor coordination, workflow improvement, cross-functional workgroups, governance, reporting, adoption, communications, and Salesforce alignment. The role translates program feedback into digital recommendations, supports strategic initiatives, and serves as a subject matter expert for warrior-facing digital services.

Corporate sales role focused on selling products or services. The description provides no additional responsibilities, qualifications, compensation, travel, or clearance information.

Designs, implements, configures, and supports enterprise cybersecurity solutions across IAM, endpoint, network, email, application, cloud, and security awareness domains. Conducts vulnerability assessments, threat hunting, incident investigation, security tool tuning, policy development, and security architecture reviews. Serves as a security subject matter expert on technology projects, collaborates with an MSSP, provides incident escalation support, and maintains availability for critical security operations.

Manage B2B SaaS customer relationships, onboarding, adoption, training, operational reviews, issue resolution, and retention for Ethics and Compliance programs. Advise customers on GRC program improvement, coordinate internal delivery teams, track initiatives in Salesforce, support renewals and expansion, and advocate for customer needs. The role includes approximately 10% travel to priority customer locations.

Lead execution of a complex federal IT program supporting the VA CORP Service Line. Manage program, product, technical, financial, staffing, schedule, risk, quality, communications, deliverables, and customer coordination activities. Serve as the primary contractor liaison to Government stakeholders, oversee multidisciplinary teams, maintain plans and reporting, manage contract performance, support Agile and DevSecOps governance, and drive process improvement, automation, transition, and continuity activities.

Own end-to-end implementations and customer relationships for a portfolio of healthcare technology clients. Build implementation plans, manage risks, coordinate executive and operational stakeholders, deliver business reviews, and partner with Sales, Product, and Support. Manage concurrent engagements, translate contracts into delivery plans, support value realization, and mentor junior program managers.

Drives profitable growth across U.S. government, military, law-enforcement, and public-safety markets. Owns strategic accounts, revenue forecasts, opportunity pipelines, commercial strategy, customer value propositions, negotiations, and long-term partnerships. Leads complex solution-selling initiatives involving technical development, trials, qualifications, specifications, and multiple stakeholders. Builds executive relationships and coordinates technical, operational, product, and commercial teams. Requires bilingual English-Spanish fluency, military-sector expertise, and substantial domestic and international travel.

Founding Solutions Engineer responsible for owning the full sales cycle, conducting product demos and technical deep-dives, explaining AI-native compliance, supporting pilot implementations, translating customer feedback into product requirements, and building the company’s sales motion from scratch.

Lead the design and optimization of healthcare data pipelines integrating EHR, payer, HIE, and vendor data. Build AWS-based ETL/ELT infrastructure, reusable integration tooling, data quality monitoring, and ML enablement foundations. Ensure HIPAA-compliant handling of clinical data, including security controls, audit logging, encryption, and de-identification. Provide technical leadership, mentor engineers, influence platform architecture, and lead complex partner integrations involving FHIR, HL7v2, CCDA, and healthcare terminology standards.

Leads Tala’s Machine Learning Engineering team in building and operating platforms for model development, real-time inference, streaming features, batch processing, deployment, monitoring, and production reliability. Manages and develops 4–6 engineers, owns delivery and prioritization, provides architectural leadership, improves engineering practices and SLOs, and partners with Data Science, Data Engineering, Product, Credit, and Business Development teams.