Top Social Impact Jobs in Denver & Boulder, CO

Own and publish enterprise contact-center schedules in Verint, manage rosters and headcount across internal and BPO teams, reconcile scheduled vs. invoiced hours, handle exceptions and intraday adjustments, drive quarterly scheduling optimization and policy, and govern AI-assisted scheduling drafts to improve staffing efficiency and agent wellbeing.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Lead strategy and execution for Headway’s provider community and content programs. Define member journeys, manage channels and events, build an ambassador program, capture provider stories, and measure engagement to drive business outcomes and provider advocacy.

Lead strategy and roadmap for AI-powered learning products, drive high-priority AI initiatives from concept to scale, partner cross-functionally to deliver responsible AI solutions, define success metrics and experimentation frameworks, and advise leadership on AI trends and opportunities.

Provide front-line global IT support for ~2500 systems (primarily macOS), troubleshoot hardware/software/network issues, manage hardware asset lifecycle, administer SaaS tools, support AV and video conferencing, run onboarding/new-hire IT training, create knowledge content, and escalate to systems/network teams as needed.

Lead and execute company-level, cross-functional strategic initiatives (1-2 quarters). Create project plans, reporting, risk tracking, stakeholder alignment, and scalable templates. Drive NPI execution, resolve bottlenecks, and ensure timely, high-quality delivery and executive stakeholder satisfaction.

Lead and coach a team of Account Managers servicing top-tier pharmaceutical and agency clients to ensure satisfaction, renewals, and expansion. Oversee implementation, reporting, QBRs, insights-driven optimization, cross-team collaboration, and escalation management while contributing customer feedback to product and GTM strategy.

As a Customer Support Associate, you'll manage client inquiries, troubleshoot issues, collaborate with product teams, and document feedback to enhance client satisfaction with our software platform.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Perform manual exploratory testing and build/maintain automated test suites (Playwright/Selenium). Integrate tests into CI/CD, collaborate with product and engineering on acceptance criteria, investigate and track defects, and advocate shift-left testing and continuous quality improvements.

Provide legal guidance on healthcare regulatory matters and commercial contracting for payor and clinical partnerships. Advise on corporate practice of medicine, fraud and abuse, telehealth, HIPAA, Medicare/Medicaid, AI clinical governance, and negotiate provider, payor, and commercial agreements to enable compliant growth.

Perform daily reconciliations, prepare and enter journal entries, support month/quarter/year-end close, assist with audits, maintain ledger accounts, improve reporting processes, and collaborate cross-functionally on ad-hoc financial analysis and projects.

Support the Securities-Based Lending (SBL) Solutions Desk by assisting customers and financial representatives, coordinating with Credit Risk and Operations, resolving collateral and credit issues, performing outbound client communications, preparing regulatory and management reporting, and recommending servicing improvements to senior leadership.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.