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

The Implementations Manager leads the deployment of ECFX Notice, managing client expectations, project timelines, and cross-functional teams to ensure successful implementation and high client satisfaction.

Assess and manage cybersecurity risk for bank IT systems by performing formal risk assessments, leveraging threat intelligence, developing controls and mitigations, reviewing configurations, supporting BC/DR and audits, and coordinating with stakeholders and vendors.

Define and own the game's visual style end-to-end: create art samples, moodboards, key art, and in-style assets. Produce illustrations and concept art, mentor junior artists, collaborate with the team and community, and work with generative AI tools as an augmenting technology. Contract-to-hire starting with paid trial projects.

Own the technical side of pre-sales for a martech platform: lead discovery, build tailored demos and proposals, design integrations and workflows, manage POCs and RFIs/RFPs, surface product feedback, and ensure handoff to Customer Success for onboarding.

As a Senior Software Engineer, you'll develop and optimize full-stack software solutions, focusing on security and data infrastructure projects.

Lead the bioinformatics pipeline team, setting technical strategy and architecture. Ensure engineering best practices, mentor staff, and oversee DevOps strategy for reliable software delivery in a regulated environment.

Analyze proprietary and public data to create data-driven stories for media, design and execute surveys, drive proactive content strategy for insurance verticals, and own ideation through writing and stakeholder collaboration to build media authority.

Customize and manage Zoho suite (CRM, Analytics, SalesIQ, Sign, Writer, Recruit, People, Inventory, Subscriptions), generate reports, prioritize team follow-ups, refine support processes, lead projects from vision to implementation, and provide data analysis and internal Zoho support.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.