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

Manage and scale an indirect partner ecosystem by building executive partner relationships, executing joint GTM plans, driving partner-sourced pipeline, enabling partners through training and events, maintaining disciplined CRM and forecasting, recruiting and onboarding partners, and collaborating cross-functionally to grow partner-influenced ARR.

Manage Google, Bing, PLA, and Facebook advertising campaigns; drive profitable ecommerce traffic; optimize ad spending for profitability; and independently manage PPC projects. The internship is unpaid and requires at least 10 hours weekly, practical paid-traffic experience, English fluency, and eligibility for college credit or personal learning.

Leads a team of data scientists developing predictive modeling, machine learning, simulation, and optimization solutions. Oversees analytical project portfolios, model governance, regulatory compliance, automation, and communication of insights to senior leaders. Drives advanced analytics strategy, innovation, resource planning, recruiting, coaching, performance management, and collaboration with business, data, and technology teams.

Develops and deploys scalable statistical, machine learning, simulation, and optimization models to solve business problems, generate insights, automate processes, and reduce risk. The role involves data preparation, model validation, production deployment, regulatory compliance, technical documentation, reusable algorithm development, and communication of actionable recommendations to business stakeholders. Collaboration with engineering, IT, data, and model risk teams is required.

Build scalable backend and distributed systems for agentic AI applications. Partner with Applied Scientists to productionize models, evaluation methods, and AI capabilities. Develop APIs, data flows, deployment and monitoring systems for low-latency AI services. Improve reliability, scalability, latency, cost efficiency, and safe rollout processes while collaborating across research, product, and engineering teams.

Manages safeguarding notifications, regulatory submissions, records, audit trails, and compliance activities. Coordinates safeguarding cases, meetings, advice-line activity, deadlines, and follow-up actions while supporting operational teams. Tracks risks, trends, and regulatory requirements, ensuring accurate documentation and timely reporting. The role requires experience in regulated environments, compliance or safeguarding, auditing, strong organisation, and attention to detail. A relevant Level 3 qualification is desirable, and an enhanced DBS check is required.

Own Rain’s financial model, budgeting, cash forecasting, runway analysis, debt facility monitoring, and strategic finance initiatives. Partner with leadership, accounting, investors, and department heads on capital allocation, reporting, fundraising, and business decisions. Build complex financial scenarios, analyze new products and partnerships, improve planning automation with Drivetrain, and translate financial insights into recommendations for executives and board members.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Lead and scale marketing across consultancy and product studio: define positioning, run digital/social/content campaigns, implement lead-gen systems, manage internal and external teams, integrate AI and martech, track KPIs and ROI, and evolve brand voice and messaging.

Lead growth marketing across a studio and portfolio ventures: source contacts, run outbound sequences, build SEO-optimized content architectures, automate workflows, manage social presence, use AI for drafting, and optimize campaigns with data-driven experiments to drive customer acquisition and brand visibility.

Lead product roadmap and backlog for a volunteer-run SaaS platform: gather requirements, prioritize features, partner with engineering to deliver iterative improvements, collaborate with marketing/sales/support, and use user feedback and data to drive continuous product optimization.