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

Lead complex customer analytics engagements, translating industrial business needs into scalable analytics architectures and solutions. Advise customers, drive product adoption, identify high-value use cases, mentor Analytics Engineers, resolve technical escalations, and influence product roadmaps. Apply expertise in industrial process data and sectors such as power, pharmaceuticals, and semiconductors. Collaborate with customers, partners, product teams, and account teams to deliver measurable business outcomes.

Lead the architecture and development of backend platforms and agentic AI systems. Design scalable distributed services, APIs, runtimes, orchestration, integrations, evaluation systems, and observability capabilities. Drive ambiguous initiatives from concept through production, ensure reliability and safety, collaborate with customers and product teams, and mentor engineers while remaining hands-on with coding and operations.

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Owns customer success for enterprise B2B SaaS accounts, including onboarding, adoption, quarterly reviews, renewals, churn reduction, expansion, and advocacy. Builds strategic relationships with multinational and Fortune 500 stakeholders, develops success and account plans, translates business objectives into priorities, and collaborates with Sales, Product, Training, Support, and Development teams. Provides guidance on industrial data analytics, IT/OT priorities, digital transformation, and customer ROI.

Executes partner marketing campaigns across email, webinars, events, and co-branded assets. Coordinates timelines, stakeholders, communications, content, partner portal resources, and campaign logistics. Produces reports on engagement, leads, events, spend, and MDF usage, identifies optimization opportunities, and recommends workflow improvements. Collaborates with Partner Managers, Sales, Integrated Marketing, Marketing Operations, agencies, and external partners while using AI to accelerate research, drafting, reporting, and administrative tasks.

Manage global industry conferences, tradeshows, analyst and partner events for a B2B technology company. Responsibilities include event strategy, budgeting, vendor and logistics coordination, sponsorship deliverables, branding, Salesforce lead tracking, campaign reporting, ROI analysis, and internal event support. The role collaborates across marketing, sales, customer success, and revenue operations teams, with occasional travel for onsite event support.

Leads Seeq’s product marketing and campaign program management functions, translating product, portfolio, and industry strategies into positioning, messaging, launch plans, and coordinated go-to-market programs. The role oversees narrative and asset governance, cross-functional launch readiness, campaign dependencies, team development, and operating rhythms. It partners with Product, Sales, Customer Success, Revenue Operations, Enablement, Partner Marketing, Regional Marketing, and Analytics to improve market clarity, execution discipline, and commercial impact.

Build sales pipeline through outbound prospecting, targeted email and social campaigns, inbound lead follow-up, and account research. Qualify prospects by understanding business goals, time series data challenges, and technology environments. Set meetings, nurture leads, track activities and CRM data, collaborate with Sales and Marketing, contribute to account plans, and share feedback on messaging and successful tactics.

Build scalable customer intelligence workflows using Python, SQL, automation, product usage analytics, customer health modeling, and applied AI. Develop Slack summaries, data pipelines, renewal prediction models, and LLM-driven synthesis workflows. Partner with Customer Success and Analytics Engineering to identify customer risk, expansion, and adoption signals, improve health scoring, and deliver actionable insights. The role is remote-first and intended for an early-career engineering or analytics professional.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.