Top Tech Jobs & Startup Jobs in CO

Lead end-to-end BSA/AML investigations for cannabis clients, conduct due diligence and ongoing monitoring, prepare marijuana-related SARs per FinCEN MRB guidance, calibrate transaction monitoring rules, administer onboarding and license/beneficial ownership reviews, and support bank regulatory examinations and OFAC/PEP screening.

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

Drive partner acquisition and revenue growth for Identity Digital by building strategic reseller programs, accelerating API adoption, managing partner relationships, analyzing market trends, optimizing pipeline in HubSpot/Asana, collaborating cross-functionally, and consistently meeting quota.

Manage day-to-day relationships with assigned retail partners to drive revenue and profit. Lead promotional, marketing and joint business plans, pitch and launch new products, negotiate programs, analyze POS and sales data, forecast stock levels, prepare business reviews, and communicate competitive insights while collaborating cross-functionally (marketing, supply chain, category, finance).

Manage SharkNinja's Walmart business as the national account lead, driving revenue, margin, distribution and digital goals. Develop and execute strategic account plans, lead cross-functional teams, manage promotions and financials, optimize supply flow, and deliver analytics-driven decisions to achieve growth.

Manage day-to-day relationships with assigned retail partners to drive revenue and profit. Lead promotional, marketing and joint business plans, pitch and launch new products, negotiate agreements, analyze POS and sales data, produce forecasts and reports, and coordinate cross-functional teams to grow market share.

Own and maintain Wasabi's end-to-end revenue forecast and master model across products, regions, sales pods, and cohorts. Build what-if scenarios, reconcile ARR/bookings/billings/GAAP revenue, produce regular review packages, and lead variance walks. Partner with FP&A, Accounting, Sales Ops, BI, and Data Science; design quota structures; support annual planning; and use AI and ML-driven inputs to automate workflows and improve forecast accuracy.

Provide legal counsel on data privacy matters, conduct privacy assessments, draft policies and training, advise on marketing and product initiatives, review and negotiate data protection and vendor agreements, monitor privacy law developments, and support the privacy program and vendor management.

Serve as the senior HRIS individual contributor managing Workday configuration, integrations, data security, reporting, and system controls. Translate business requirements into scalable HR technology solutions, lead HRIS projects end-to-end, support recurring People programs, audit and monitor data and integrations, and provide training and subject-matter expertise to HR, Payroll, Finance, IT, and business stakeholders.

Lead frontend development using React and TypeScript to design scalable frontend architecture, components, and developer workflows. Own feature delivery from concept to launch, improve CI/CD and testing, collaborate with backend on APIs, evaluate new technologies, and mentor other engineers while ensuring performance, accessibility, and reliability across web surfaces.

Build and ship full-stack features for customer-facing Console and Playground, plus internal tools. Design and maintain APIs and backend services, implement accessible performant frontends, translate product requirements into incremental work, and improve code quality through reviews and design discussions.

Build and ship polished, accessible, high-performance front-end features for Deepgram's Console and Playground. Partner with product and design to translate ideas into incremental releases, improve internal tools, and uphold front-end engineering standards through code reviews and design discussions.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Lead product vision and backlog for enterprise platform capabilities. Partner with Product Managers, engineering, and architecture to define scope, prioritize work, support PI/sprint planning, refine user stories, manage dependencies, and accept delivered increments while communicating value to stakeholders.

Lead architecture, integration, installation, upgrade, and enterprise implementation of Privileged Access Management tools (CyberArk, Entra, BeyondTrust). Design and code complex software solutions, align business strategy with technology, provide technical guidance, and lead problem-solving and documentation for PAM initiatives.

Lead and elevate Hometap's creative vision across campaigns and channels. Manage and mentor an in-house creative team, oversee production and external vendors, refine processes, align creative to business goals, and drive performance through testing and best practices.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.