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

Leads complex business analysis, requirements gathering, process design, and functional strategy across Salesforce and analytics platforms. The role optimizes Lead-to-Cash processes, defines Salesforce cloud solutions, establishes Tableau and Slack workflow requirements, leads UAT, validates technical deliverables, supports governance and release management, and mentors junior analysts. It requires extensive Salesforce ecosystem experience, enterprise manufacturing or supply chain knowledge, and familiarity with Salesforce security, APIs, CI/CD, Agile tools, and visual modeling.

Fosters new and existing client relationships for an asset management firm. Responsibilities include business development, territory planning, client presentations, industry events, proposal support, Salesforce opportunity tracking, objection handling, and client education. The role also mentors team members, manages complex client situations, and aligns company offerings with institutional client needs. It requires financial services experience, strong communication and analytical skills, and travel up to 30% of the time.

The Revenue Operations Analyst partners with sales leadership to improve revenue performance through data analysis, forecasting, reporting, experimentation, and process optimization. Responsibilities include building dashboards and scorecards, managing sales metrics, supporting territory and quota processes, improving CRM hygiene, analyzing productivity, testing sales strategies, and creating scalable workflows. The role collaborates with Marketing, Finance, and Product and translates complex data into actionable recommendations.

Develop and deploy Salesforce Marketing Cloud solutions: build email templates and web pages (HTML/CSS/JS), write AMPScript/SSJS/WSProxy, manage Automation Studio and Journey Builder, create integrations via REST/SOAP APIs, design data models with SQL and data extensions, document setups, and collaborate across teams while owning technical decisions.

Supports public health data extraction, management, quality assurance, cleaning, validation, harmonization, documentation, and statistical and qualitative analysis. Develops analytic datasets and evaluates program implementation, reach, fidelity, dose, adaptation, and outcomes. Integrates mixed-methods data, interprets findings, prepares technical memoranda, reports, presentations, tables, and figures, and communicates recommendations to program stakeholders. The role also uses Microsoft Office and CDC administrative systems and requires obtaining and maintaining customer clearance.

Leads enterprise B2B SaaS sales across Digital Science’s portfolio, from pipeline generation and opportunity qualification through value positioning, pricing, negotiation, and contract execution. Targets Life Sciences, BioPharma, and research-intensive enterprises, engaging executive, technical, and procurement stakeholders. The role requires communicating the business value of knowledge graphs, semantic layers, AI, and scientific data platforms while coordinating cross-selling, proposals, proofs of concept, and post-sale transitions. Travel of 20–40% is expected.

Own and develop Kins’ sales strategy for virtual specialty care, build qualified healthcare partnership pipelines, create scalable go-to-market processes, establish revenue targets, close complex insurance and health system deals, and eventually hire and lead a sales team. The role requires a data-driven approach, CRM expertise, stakeholder management, and up to 50% travel in New York and Massachusetts.

Build and ship production LLM capabilities on AWS Bedrock for clinical, client success, and member experience teams. Develop OCR, extraction, summarization, retrieval, decision-support, and workflow automation features; establish AI evaluations and reliability practices; and build Python/FastAPI applications with MySQL, AWS, and server-rendered front ends. Maintain healthcare data integrations, testing, CI, PHI protections, and clear technical documentation.

Partners with senior management and cross-functional teams to deliver financial analysis, reporting, forecasting, budgeting, financial modeling, business-case evaluation, pricing analysis, and strategic decision support. Manages month-end activities, performance tracking, financial risks, client cost estimates, invoices, and sales incentive programs. Supports finance and procurement systems, process improvements, controls, and executive presentations while ensuring accurate, compliant financial planning.

Lead and scale Cast AI's channel program across GSI, MSP, and VAR tiers. Build the GSI motion, recruit and activate partners, manage the PAM team, establish operating cadences (QBRs, joint planning), define incentives and program infrastructure, and align channel strategy with Sales, SEs, Marketing, Product, Finance, and Legal to make partner-sourced pipeline predictable.