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

Designs and implements Hightouch Identity Resolution solutions for enterprise customers. Assesses data architectures, develops identity rules and data models, debugs customer issues using SQL and server logs, explains system behavior, and identifies product gaps. Partners with sales engineering, support, and technical account management while advising technical and executive stakeholders on data strategy and identity architecture.

Processes and validates supplier invoices, performs three-way matching, resolves discrepancies, codes transactions, maintains vendor records, and processes payments through Ramp and Sage Intacct. Supports reconciliations, month-end close, AP aging review, audits, 1099 reporting, process automation, policy documentation, and cross-training. Communicates with vendors and internal stakeholders while maintaining accuracy, confidentiality, and timely financial records.

Own the full enterprise sales cycle across the Mountain and Southwest territories. Build pipeline, develop account plans, engage CISOs and executive buyers, lead technical evaluations, create business cases, negotiate complex agreements, close new and expansion business, and maintain accurate forecasts. The role requires strong cybersecurity expertise, established enterprise security relationships, quota-carrying sales experience, technical credibility in security, cloud, and AI, and willingness to travel.

Build and maintain finance data pipelines, warehouse models, dashboards, and automations for unit economics, technology budgeting, burn, runway, margins, deal desk, and sales compensation. Develop internal tools and LLM-based agents that help non-engineers access trusted financial data. Partner with finance, sales, and engineering leadership to reconcile discrepancies and improve revenue, cost, billing, payroll, cloud-spend, and accounting workflows.

Manages Credit Department projects from initiation through implementation, coordinating timelines, deliverables, risks, dependencies, stakeholders, and communications. Develops project plans, status reports, dashboards, process documentation, and decision logs; facilitates meetings and follow-up. Supports requirements coordination, testing, training readiness, change management, technology implementations, process improvements, and post-launch activities while aligning cross-functional teams and Credit leadership.

Leads the enterprise vendor lifecycle from strategic sourcing and procurement through contracting, governance, performance management, renewals, and termination. Develops procurement strategies, negotiates complex agreements, manages supplier performance and risk, supports regulatory compliance and audits, and uses AI, automation, and analytics to improve procurement outcomes. The role also leads procurement and vendor management teams and partners with business, technology, legal, compliance, and finance stakeholders.

Supports compensation and benefits programs through pay administration, market analysis, pay equity reviews, incentive calculations, budgeting, benefits administration, compliance, audits, vendor reconciliation, open enrollment, and employee support. Maintains total rewards data in Dayforce and collaborates with HR, Finance, Talent Acquisition, and leadership on process improvements and strategic recommendations.

Own full-cycle recruiting for attorney roles, including sourcing, cold outreach, screening, pitching, negotiation, offer management, and closing. Build an independent candidate pipeline and attorney network, maintain ATS/CRM records, partner with hiring stakeholders, and consistently achieve a target of 15–20 hires per month. The role requires strong outbound recruiting, relationship-building, negotiation, organization, and quota performance in an onsite environment.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Build and improve Go backend services, GraphQL APIs, relational data models, background jobs, and third-party integrations. Write SQL, automated tests, and production fixes while improving reliability and performance through logs and metrics. Collaborate with product, design, mobile, and frontend engineers to ship collector-facing features. The role requires ownership, clear communication, fast learning, and comfort working in a small, rapidly changing startup environment.