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

Own the technical relationship for enterprise customer accounts after the sale, driving platform adoption, configuring and optimizing customer environments, delivering training, resolving escalations, and identifying expansion opportunities. Partner with Customer Success, Professional Services, Product, and Engineering teams while creating scalable playbooks, reference configurations, and enablement assets. Success is measured through customer adoption, retention, and expansion outcomes.

Sell and negotiate brand partnerships for social media creators: convert inbound/outbound leads, build and maintain brand and creator relationships, scout clients, craft pitches and partnership packages, assist campaign execution, and deliver growth strategies and ROI measurement for influencers.

Generate and qualify B2B SaaS leads through cold calls, online research, LinkedIn, email, and other prospecting channels. Explain products, identify customer needs, qualify prospects, schedule demos, maintain CRM records, follow up consistently, and coordinate qualified lead handoffs with sales and client success teams. Meet daily, weekly, and monthly calling and lead-generation targets while staying informed about competitors and target markets.

Manage client relationships throughout implementation and ongoing support, serving as the primary client contact. Oversee KPIs, operational metrics, strategic planning, project execution, and client goal attainment. Translate client needs into platform opportunities, represent customer feedback to Product and Engineering, and develop case studies and success materials. The role requires healthcare client success or account management experience, strong communication, project leadership, and knowledge of medication management and healthcare quality measures.

Supports corporate development and private equity activities, including acquisition sourcing, due diligence, financial analysis, valuation, leveraged buyout modeling, investment memoranda, negotiations, portfolio performance tracking, board materials, and integration support. Works closely with Partners, senior leadership, management teams, and investment committees throughout the investment lifecycle.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Own the commercial and strategic health of a SaaS customer portfolio, including renewals, expansion, QBRs, account planning, stakeholder relationships, and proactive communication. Partner with customer success counterparts and agency partners to align platform experience with account strategy. Maintain accurate client documentation and identify upsell opportunities by understanding customer goals, usage patterns, and business value.

Leads ELSF’s national strategy for multilingual learner-centered instructional quality, coalition building, external partnerships, policy influence, and impact communications. Serves as a trusted advisor to the Executive Director and external representative to funders, policymakers, education leaders, and advocates. Oversees cross-sector forums, thought leadership, calls to action, dissemination strategy, and organizational alignment while managing staff and consultants.

Own Butter’s product-led growth engine, improving activation, time to value, retention, monetization, onboarding, and in-product sharing loops. Define aha moments, identify workflow friction, run weekly experiments, analyze cohorts, model LTV, establish CAC guardrails, and build a data-driven growth roadmap. Partner closely with Design and Engineering while establishing growth processes and eventually building the product growth team.

Lead the design, development, deployment, and monitoring of production AI/ML applications for dairy farm intelligence. Responsibilities include data wrangling, feature engineering, model selection, experimentation, MLOps, agent evaluation, observability, fine-tuning, AI governance, and adoption enablement. The role also involves collaborating on React and TypeScript user experiences, translating ambiguous requirements into scalable systems, and communicating technical tradeoffs across product, engineering, and dairy science teams.