Top Tech Jobs & Startup Jobs in CO

Own the full-cycle commercial B2B SaaS sales process, from prospecting and pipeline generation through closing new business. Build territory and account strategies, conduct consultative discovery, deliver tailored software demonstrations, manage qualification and forecasting, and engage executive stakeholders. The role requires quota attainment, self-sourced pipeline generation, strong communication, and experience selling in startup or growth-stage environments. Familiarity with MEDDPICC, MEDDICC, SPICED, or similar sales methodologies is preferred.

Leads complex, cross-functional Customer Success programs from strategy through execution and operational adoption. Establishes governance, charters, metrics, milestones, accountability, and risk management across Professional Services, Technical Success, and Support. Uses data-driven analysis to assess program health, guide course corrections, and provide executive-ready reporting. The role also supports AI-driven solutions and enterprise software implementation in a remote Customer Success PMO environment.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Provides customer support for an online gambling platform through live chat, telephone, and email. Investigates and resolves inquiries and complaints, escalates issues, explains policies and licensing requirements, and promotes responsible gambling. The role requires strong communication, multitasking, problem-solving, attention to detail, technology proficiency, and an ability to work evenings, weekends, and holidays. Includes an eight-week training program and opportunities for advancement.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Owns go-to-market readiness for product launches, pricing and packaging changes, migrations, deprecations, and route-to-market changes. Translates product decisions into commercial and operational requirements, coordinates cross-functional teams, validates end-to-end customer and seller workflows, manages launch risks, and improves readiness processes through reusable frameworks and automation.

Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Lead month-end and year-end close activities, including journal entries, reconciliations, accruals, allocations, fixed assets, prepaids, variance analysis, and financial statement preparation. Improve accounting processes, implement controls and policies, support CAS and government contract accounting, collaborate across teams, and assist with audits. The role requires strong GAAP knowledge, ownership, problem-solving, and experience with NetSuite and potentially government or aerospace accounting.

Owns nonlabor program costs, cost variance analysis, budgets, forecasts, and end-to-end inventory accounting. Establishes cost controls, reconciliations, and scalable accounting processes; ensures GAAP, CAS, FAR, and DCAA compliance. Partners with Finance, Supply Chain, Operations, and Program Management, supports financial reporting and audits, and improves cost flows and close-cycle efficiency.

Support company-wide financial planning, budgeting, forecasting, variance analysis, reporting, and financial modeling. Own R&D budget tracking and forecasting, multi-year CAPEX planning, facilities OPEX forecasting, ROI analysis, and engineering headcount plans. Partner with engineering, program management, operations, accounting, and executive leadership to align investments with technology and business priorities. Improve FP&A tools and data pipelines while translating technical initiatives into financial plans and business cases.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Own a Midwest healthcare sales territory, sourcing prospects through outbound phone and digital outreach, managing full-cycle deals, closing healthcare providers, and building ongoing account relationships. After 90 days, the associate conducts field meetings and manages accounts within a 2.5-hour radius of a major Midwest metro hub. The role requires quota-carrying sales experience, cold-calling expertise, CRM proficiency, reliable transportation, and residence in an approved target market.