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

Designs and develops full-stack features for a network-management microservices platform. Responsibilities include building C#/.NET services, APIs, Kubernetes workloads, web interfaces, deployment automation, monitoring tools, and secure DevSecOps solutions. The role contributes to architecture, technical specifications, documentation, and AI-assisted development workflows while collaborating with product owners and external stakeholders.

Leads Kapitus’ core lending product portfolio, including term loans and lines of credit. Owns product P&L, strategy, pricing, go-to-market execution, competitive intelligence, roadmap prioritization, regulatory alignment, and financial outcomes. Partners with Product Delivery, Risk, Finance, Sales, Marketing, Operations, Compliance, and executives. Manages and develops a team of product managers while identifying opportunities for AI and machine learning to improve underwriting, decisioning, offers, and borrower communications.

Supports battery recycling stewardship campaigns, consumer education, state program rollouts, partner communications, events, and outreach initiatives. Coordinates timelines, deliverables, marketing materials, agencies, vendors, and cross-functional stakeholders. Tracks campaign performance, website traffic, email engagement, QR scans, and outreach data, preparing reports and campaign recaps. Maintains marketing assets and calendars while ensuring accurate, compliant, brand-aligned communications across multiple channels and states.

Designs and leads end-to-end AI/ML solutions for consulting clients, including architecture, data pipelines, model deployment, monitoring, governance, and responsible AI practices. Advises stakeholders on AI strategy, conducts workshops, oversees delivery, supports presales activities, and develops reusable AI offerings. Collaborates with data scientists and engineers across cloud platforms while driving technical leadership, client relationships, and business outcomes.

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

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.