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

Own G2’s AWS alliance strategy, relationship health, revenue growth, co-selling pipeline, partner-program execution, and joint go-to-market planning. The role connects AWS with G2 sales, product, engineering, marketing, and leadership teams; enables sales teams; manages forecasting and KPIs; advances cloud integrations; and scales partner workflows using AI and automation. The manager will also expand partnerships across GCP and Microsoft Marketplace.

Leads development of agent evaluation systems that assess live software agents using trace data, rubrics, benchmarks, and LLM-as-a-judge techniques. Owns the evaluation platform’s full stack, creates reusable workflows and integrations, tracks emerging evaluation methods, and collaborates with data science teams. Manages and mentors engineers while promoting evaluation practices across agent-focused products.

Supports G2 Marketing’s AI fluency initiative by developing AI adoption deep-dives, diagnosing team readiness, tracking progress, maintaining assessment tools and dashboards, supporting cross-team workflows, building training materials, and documenting playbooks. The intern analyzes assessment data, validates use cases, coordinates curriculum rollout, gathers feedback, and helps marketing teams embed AI into daily workflows.

Lead G2’s experimentation practice across products and digital marketplaces. Design experimentation standards, causal inference methods, metrics, guardrails, and analysis approaches; partner with product and engineering to implement experimentation platforms and instrumentation. Build models, design auctions, ship production systems, evaluate modern statistical methods, and address marketplace interference and low-traffic constraints. Mentor data scientists and evangelize rigorous data science practices across the organization.

Own go-to-market strategy and hands-on growth execution for G2’s AI Solutions portfolio, from early beta validation through revenue and integration into G2.com. Responsibilities include defining audiences, positioning products, running acquisition and activation experiments, conducting user research, building pipeline, enabling Sales, monitoring competitive trends, and partnering with Product and Marketing teams. The role requires taking ambiguous, early-stage AI products from zero to revenue in a B2B SaaS environment.

Own and scale marketing-to-sales operations infrastructure across Salesforce, Marketo, Clay, Qualified, and related systems. Manage lead lifecycle architecture, routing, scoring, enrichment, deduplication, data quality, conversational marketing workflows, and funnel optimization. Partner with Marketing, Sales, SDRs, Business Systems, and vendors to improve pipeline quality, speed to lead, and sales efficiency. Implement AI-enabled automation, oversee tool budgets, and support system migrations and process governance.

Own marketing analytics, funnel and campaign reporting, lead scoring, routing, data reconciliation, and Marketing-to-Sales handoff workflows. Build dashboards, validate Salesforce and Marketo data, manage RingLead logic, troubleshoot routing issues, and perform recurring QA across go-to-market systems. Partner with BI and Data teams, identify optimization opportunities, present findings to leadership, and use AI tools to accelerate reporting and data-quality workflows.

Own the Data Solutions business end to end, including revenue, strategic client relationships, team leadership, and product direction. Source and close complex data deals with institutional investors, build predictable pipelines, guide pricing and forecasting, drive account adoption and expansion, coach sales and client support teams, and translate investor feedback into product roadmaps.

The Senior Lifecycle Marketing Manager develops and executes marketing strategies for software buyers and vendors, focusing on engagement and retention through email marketing, data analysis, and cross-functional collaboration.

Own the strategy and roadmap for G2’s full Content portfolio, integrating content systems, AI-enabled workflows, advertising or activation products, distribution, measurement, and commercial capabilities. Build trustworthy, reusable content operations with rights, provenance, approvals, and human oversight. Lead portfolio consolidation, customer discovery, experimentation, cross-functional alignment, and metrics while preserving editorial independence and driving customer and business outcomes.