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

The Product Designer will create user-friendly interfaces for an AI-driven financial wellness app, conducting research and collaborating with teams to enhance usability.

Conduct US market and competitor research to generate product insights. Analyze quantitative and qualitative data, design surveys and studies, synthesize findings into recommendations, and present actionable insights to product, marketing, and leadership teams to inform roadmap and go-to-market decisions.

Engage qualified US prospects to conduct discovery calls, deliver demos, handle objections, follow up across channels, maintain CRM records, close deals, and meet monthly sales targets while collaborating with SDR and marketing teams.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

Fandom seeks to engage talents while expanding its gaming and content initiatives, enhancing fan experiences through editorial coverage and data insights.

The role involves leading sales strategies and generating business with fintech organizations, focusing on closing significant deals and managing sales pipelines.

The Principal Engineer for Customer Quality acts as the key customer contact for quality issues, addressing complaints, and driving continuous improvement. This role requires collaboration with multiple teams to establish quality standards and facilitate customer audits, while managing quality performance and supporting product lifecycle decisions.

The Customer Experience Program Manager oversees client programs focused on organic growth, managing relationships, ensuring quality delivery, and driving satisfaction.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

Conduct red teaming and adversarial evaluations of AI systems across violence, extremism, child safety, grooming, crisis, and other harm categories. Design evaluation frameworks, test scenarios, scoring criteria, taxonomies, and interventions that translate real-world harm expertise into structured technical outputs. Review model responses, exercise expert judgment, and produce methodology and findings for technical and government audiences while meeting ethical, legal, contractual, and data protection obligations.