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

The Senior Sales Consultant will identify and engage enterprise-level prospects in the US, manage the sales cycle, and achieve revenue targets through effective negotiation and relationship building.

Provide remote bookkeeping for US clients: maintain financial records, reconciliations, AP/AR, payroll processing and tax compliance, prepare monthly financial statements and 1099s, organize tax documentation, and communicate with clients.

Volunteer senior engineer to develop a cross-platform medical/wellness app (web, iOS, Android). Own full SDLC: design, coding, testing, data models, pipelines, deployments, and collaborate in Agile processes. Attend weekly standups and commit at least 4 hours weekly.

Volunteer Salesforce Architect to design and implement Health Cloud solutions, lead integrations (APIs, MuleSoft), configure Salesforce products (Service, Experience, Lightning), support users and BAs, produce technical documentation, and guide technology roadmaps and releases.

Volunteer Social Media and Community Manager to build and execute social strategy, create content, grow and engage communities across major platforms, coordinate creatives, identify influencers, and support a fundraising campaign. Requires metrics-driven content creation and community management experience.

Support and deliver Equitable Path Forward and Partner Sustainability initiatives by developing technical assistance, managing consultant and grant processes, coordinating cross-organizational partnerships, running cohorts and events, tracking KPIs and program data, and contributing to strategy, funder reporting, and stakeholder engagement to strengthen affordable housing developers and operators.

Prepare and review federal, state, gift, trust, and international tax returns for high-net-worth clients; produce tax projections and planning, perform withholding analyses, manage notices/audits, evaluate tax software, improve processes, and help recruit/train the Tax team. Support wealth advisors and provide year-round tax consulting.

Manage end-to-end client operational workflows including onboarding, account maintenance, and custodial communications. Maintain and enhance CRM workflows (PractiFi), update portfolio data (Orion), process client forms and e-signatures, coordinate with custodians (Charles Schwab), and continuously improve operations. Support recruiting and training on the Operations team and act as a reliable, service-oriented administrative partner for planners and advisors.

Support Financial Planners and Wealth Advisors by building and updating financial plans in eMoney, modeling scenarios, drafting Excel analyses, managing CRM and Google Sheets workflows, researching planning topics, and coordinating workloads with other paraplanners.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Design, optimize, and operate large-scale data pipelines focused on performance and scalability. Support ML workflows including feature extraction, model training, and real-time inference. Build solutions using Python, SQL, AWS data services and Apache Spark, and train/deploy models with SageMaker, TensorFlow, or PyTorch in a fast-paced remote environment.

Drive organic growth and visibility by combining SEO, content strategy, and AI. Optimize content for search engines and LLMs (ChatGPT, Gemini, Claude), implement schema/structured data and entity-based SEO, use SEO tools (GSC, GA, Ahrefs, SEMrush) to measure and iterate, and develop strategies to surface client content in AI assistants and Google SGE.

Lead Azure AI solution design and delivery within the AI Factory: build generative AI POCs/MVPs to production, unblock technical issues, drive adoption, provide technical program management, and influence product roadmap through customer feedback.

Lead AI-first product strategy and roadmap for Azure HPC & AI compute platform. Drive market and customer analysis using AI, define features, prioritize backlog, coordinate SWE/HWE/Design/Security, manage go-to-market and performance metrics, ensure security/compliance, and drive adoption, monetization, and deprecation decisions across multiple feature areas.

Lead end-to-end data science and AI projects: translate business problems, prepare large datasets, build and deploy predictive/prescriptive and generative AI models (including LLM fine-tuning and prompt engineering), communicate insights to stakeholders, and promote responsible, explainable AI practices across consulting engagements.

Own and maintain the Salesforce Service Cloud and CX tech stack for global fintech kiosk operations: configure CRM, manage CTI/telephony roadmap, support integrations, build dashboards and reports, troubleshoot users, and deliver insights to support and leadership.

Own end-to-end procurement for a global fintech kiosk network: develop cost-saving strategies, source and negotiate with suppliers, manage contracts and purchase orders, oversee procurement IT systems, perform risk assessments, control budgets, and report supplier performance and spend to management.

Serve as the first point of contact for vehicle sellers: answer inbound calls and emails, guide customers through the listing process using scripts and CRM, document interactions, coordinate handoffs with the Listing Team, and escalate complex issues.

Build and maintain scalable cloud infrastructure and services on GCP to support AI-driven robotics applications. Collaborate with applied ML, web, and R&D teams to design APIs, data pipelines, and ML inference services; participate in testing, performance and cost optimization, and operational reliability. Use infrastructure-as-code, containerization, and orchestration tools while leveraging GenAI tools to accelerate development and improve code quality.

Lead and manage a cloud engineering team while architecting and implementing high-availability GCP systems and ML pipelines that ingest and process massive image volumes. Drive GPU resource optimization, IaC deployments, observability, and cross-functional collaboration with ML, data, and robotics teams to enable scalable model training, serving, and inference.

Lead and grow a Cloud Platform engineering team that builds and operates the backend for a global fleet of robots. Own roadmap, reliability, on-call/incident response, cloud cost, architecture, hiring, and delivery while contributing hands-on to development and partnering cross-functionally to scale the platform.