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

Own end-to-end acquisition of net-new B2B trade and hospitality accounts, including prospecting, pitching, closing, pipeline management, and relationship development. Build repeatable AI-powered outreach workflows, maintain CRM discipline, improve forecasting and conversion, and coordinate with merchandising, operations, and vendor teams to support trade clients and special orders.

Supports product lifecycle management from concept through post-launch, including product requirements, market and competitive research, testing, quality initiatives, performance analysis, and launch activities. Collaborates with Engineering, Sales, Marketing, Operations, and other teams to improve products, customer experiences, and business outcomes. Tracks timelines, analyzes sales and product data, supports strategic decisions, and coordinates cross-functional project activities.

Manages a multifamily affordable-housing portfolio of up to 10 communities, overseeing budgets, financial reporting, collections, capital projects, compliance, vendors, resident relations, and site operations. Leads and develops community teams, supports leasing and lease-up activities, ensures regulatory adherence, resolves resident and staff concerns, and drives operational efficiency and profitability. Frequent regional travel is required.

Design and build interfaces for HUD’s AI agent training, evaluation, and marketplace products. Translate complex reinforcement learning workflows, agent runs, evaluation results, reward signals, and quality feedback into clear, actionable experiences. Collaborate with users, researchers, and engineers to ship polished products, conduct user discovery, improve usability, and develop reusable interaction patterns.

The Content & Prompt Operations Specialist manages AI-assisted content workflows, ensuring accuracy and engagement in content produced. Responsibilities include writing prompts, drafting content, proofreading, and improving AI outputs while following structured processes.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Supports and optimizes indirect procurement operations through Coupa administration, P2P workflow execution, supplier onboarding, approval routing, invoice processing, reporting, governance, and audit readiness. The role improves workflows, catalogs, automation, data visibility, and user adoption; resolves system and transaction issues; supports Coupa implementations and UAT; trains users; and partners with Procurement, Finance, Legal, Accounts Payable, IT, and business stakeholders.

Develop new personal lines insurance sales, build and manage a client pipeline, present tailored homeowners, auto, umbrella, earthquake, and personal articles coverage, and maintain long-term client relationships. Advise clients on market trends, emerging risks, and regulatory changes while preparing sales and account activity reports. The role requires a Property and Casualty license, personal lines sales experience, strong communication skills, and knowledge of homeowners and personal auto coverage.

Build web-first product experiences, reusable components, RESTful APIs, and scalable data pipelines for Wikimedia’s web and mobile app surfaces. Deliver initiatives from discovery through production, emphasizing accessibility, performance, testing, observability, and maintainability. Collaborate with product managers, designers, analysts, and native app engineers in a fully remote environment while prioritizing user impact, technical quality, and pragmatic delivery.

Build and own Snout’s data foundation, including PostgreSQL and dbt warehouses, ingestion pipelines, dimensional models, data quality, documentation, and reliable rebuilds. Reconcile data from veterinary practice-management systems, support LLM/AI tooling, translate stakeholder needs into technical plans, and establish the foundation for a future data team and analyst.