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

Own the Growth product vision, roadmap, and execution across signup, onboarding, activation, trial-to-paid conversion, and in-product expansion. Build high-tempo experimentation, growth models, metrics, playbooks, and frameworks. Partner with design, engineering, product, marketing, sales, and CS to drive discovery, adoption, pricing input, and scalable growth capability. Spend time with customers and data to turn insights into high-impact initiatives.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Produce polished, on-brand visual work across static, motion, and web channels. Design ads, social, landing and product pages, collaborate with product marketing, balance fast turnarounds and larger brand projects, and grow into shaping the brand system.

Own the vision, roadmap, and execution for Help Scout’s autonomous AI "Agent" pillar (Agent Drafts, AI Answers, Agentic Actions, Docs automation). Lead consolidation onto a single backend, define trust-building UX and outcome-based monetization, partner with engineering, Intelligence and Conversations PMs, GTM and CS, and spend time with customers to drive adoption and product decisions.

Lead the Intelligence product pillar, owning roadmap and delivery for Topics, Sentiment, CX Score, and profiles. Ship early value, define monetization and conversion, coordinate cross-pillar interfaces, partner with data and gateway teams, engage customers, and work with GTM on messaging for a net-new data product in Help Scout's Understand tier.

Build end-to-end, customer-facing AI features with a frontend focus: implement LLM-backed flows (RAG, embeddings, agentic tool-calling), craft fast accessible UIs in TypeScript/React, instrument evaluation/guardrails and production monitoring, stay close to customers, and own outcomes from design through production.

Build customer-facing intelligence features end-to-end with a frontend focus using TypeScript and React. Ship production-grade LLM capabilities (RAG, embeddings, prompt engineering), ensure reliability, observability, accessibility, and stay close to customers to measure outcomes.

Build end-to-end, customer-facing AI features with a frontend center of gravity: implement LLM-backed flows (RAG, embeddings, agentic tool-calling), craft fast accessible UIs in TypeScript/React, instrument evaluation and monitoring, and own outcomes from design through production and customer feedback.