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

Develop and deploy machine learning models for manufacturing use cases including predictive quality, machine failure prediction, and time-series pattern discovery. Work directly with customers to scope problems, validate solutions in live deployments, and translate successful analyses into product features. Collaborate with engineering, product, and customer success teams while applying statistics, optimization, generative AI, and agentic AI to deliver end-to-end solutions.

Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.

Lead a development team while remaining hands-on in full-stack engineering. Design, build, test, deploy, and support secure web applications using C#/.NET, Angular, databases, and AWS. Drive cloud migrations, architecture, CI/CD automation, application security, troubleshooting, performance and cost optimization. Mentor developers, establish engineering standards, lead technical delivery, and collaborate with product, data, DevOps, and architecture teams.

Owns co-marketing and joint go-to-market campaigns for Monad ecosystem integrations and deployments. Responsibilities include identifying high-impact opportunities, developing narratives, creating social activations, writing case studies and blogs, coordinating creative, legal, compliance, and launch workflows, and measuring campaign performance. The role requires managing complex external workstreams and collaborating with crypto-native and traditional business partners.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.

Own full-cycle enterprise sales and new business development across the US and Canada. Close complex SaaS deals with hedge funds and asset managers, engage senior investment executives, build institutional relationships, represent Arcana at industry events, and provide market feedback to Product and Leadership. The role requires strong enterprise selling experience, institutional investment workflow knowledge, a proven record of high-value deal closures, and an established industry network.

Lead Reprise’s marketing function and redesign its B2B go-to-market approach with an AI-first strategy. Own pipeline generation, demand generation, ABM, content, events, partnerships, analyst relations, social media, marketing tooling, budget, and external partners. Set and achieve monthly pipeline targets, establish category leadership in demo automation, optimize program spending, and combine strategic leadership with hands-on execution.

Generate qualified sales pipeline through personalized, high-volume outbound outreach to engineering leaders and technical buyers across global markets. Research target accounts, identify stakeholders and buying triggers, qualify technical and business needs, handle objections, and maintain accurate CRM data. Partner with Account Executives on account strategies and handoffs while continuously testing and improving messaging and prospecting workflows.

Lead developer relations as the company’s first DevRel hire. Create technical content, demos, examples, and projects; speak at conferences, meetups, and podcasts; build relationships with engineering teams and technical communities; gather product feedback; establish the company as a leading voice in AI-driven engineering; and grow its social following.

Manage end-to-end payroll processing for India, validating inputs, preparing MIS reports, coordinating payments and statutory compliance, reconciling payroll with Finance, resolving discrepancies, supporting audits, maintaining confidential records, and improving payroll systems and processes.