Top Fintech Jobs in Denver & Boulder, CO

Build and manage AI-powered workflows, agents, automations, and internal applications for Deal Desk and GTM teams. Identify automation opportunities, develop prototypes, scale solutions to production, integrate enterprise data and APIs, implement human validation and audit controls, optimize LLM costs, document tools, measure adoption, and train users. The role requires Deal Desk or RevOps experience plus practical knowledge of AI models, APIs, scripting, SQL/SOQL, Python, CPQ, CLM, Salesforce, and agentic platforms.

Lead complex B2B hardware and software implementations for strategic customers. Own implementation plans, KPIs, training, adoption, timelines, deliverables, risks, and stakeholder alignment. Lead cross-functional teams, advise executive stakeholders, provide change-management guidance, host customer sessions, and ensure successful deployments within scope and schedule. Travel to customer sites approximately 40% of the time.

Build and lead Motive’s globally distributed SOC, owning detection engineering, 24/7 incident response, threat hunting, intelligence, security analytics, endpoint protection, cloud and workload monitoring, and AI-driven automation. Establish operating models, coverage strategies, runbooks, telemetry platforms, incident command processes, and measurable detection and response capabilities across corporate and production environments.

Lead healthcare partnership acquisition strategy, identify and close complex enterprise partnerships, build executive relationships, onboard new partners, and collaborate cross-functionally to generate scalable revenue. The role focuses on one-to-many partner ecosystems across healthcare associations, provider networks, GPOs, and healthcare technology platforms. Success is measured through pipeline growth, signed partnerships, referred opportunities, and revenue generated.

Leads a payroll and tax customer support team, coaching representatives, monitoring performance metrics, improving customer experience, and driving scalable processes. Partners cross-functionally with product and other teams to reduce inquiries, enhance tools, and support retention and growth. Uses data and AI to improve efficiency, develop employees, and implement organizational change in a regulated support environment.

Leads complex, cross-functional strategic programs spanning Customer Experience, Product, Engineering, Data, Design, and Operations. Owns program plans, roadmaps, launch readiness, change management, reporting, and executive stakeholder alignment. Develops AI-enabled operational readiness strategies, translates technical concepts for broad audiences, improves operating models and tooling, and uses data-driven insights to enhance customer experience and organizational efficiency.

Own and operate Toast’s enterprise data governance program, including data domain ownership, governance council coordination, policy compliance, business glossary management, metadata standards, catalog adoption, maturity assessments, and data literacy training. The role partners with business stakeholders, data stewards, catalog teams, and leadership to improve data trust, compliance, discoverability, and quality. It requires governance, metadata, SQL, data catalog, program management, and workshop facilitation experience.

Serve as strategic HR partner to G&A senior leaders, leading org design and restructures, driving performance calibration, using data and AI tools to surface org health risks, and translating people strategy into measurable outcomes across global, high-growth teams.

Sells SaaS accounting software services by consulting with customers, estimating implementation effort, developing Statements of Work, and guiding sales-to-implementation handoffs. Builds services sales pipelines, supports solution demonstrations, aligns cross-functional teams, manages forecasts and KPIs, and contributes to go-to-market materials. Requires accounting software knowledge, consultative selling ability, project estimation expertise, and experience drafting and negotiating SOWs.

Lead federal and state government affairs strategy, including Congressional and regulatory advocacy, lobbyist management, coalition engagement, and policy monitoring. Support public-sector sales with procurement and policy insights, develop expertise in identity, fraud, privacy, and data policy, and represent the company in hearings, briefings, meetings, and industry events. Build bipartisan relationships across Congress, federal agencies, trade associations, and state stakeholders.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Supports retail mortgage loan originators by managing borrower and realtor communications, analyzing credit and financial documentation, structuring loans, maintaining pipelines, clearing underwriting conditions, and coordinating applications and appointments. Uses Encompass and Salesforce to track files, ensures data integrity and regulatory compliance, resolves documentation issues, and contributes to client retention and new business development.

Set the technical vision for data science, lead complex statistical and machine learning model development from concept through production, and architect scalable modeling platforms and pipelines. Develop credit risk, pricing, and loss forecasting models; establish model governance standards; partner with senior leaders; mentor data scientists; and communicate technical strategy to executives. The role emphasizes production deployment, monitoring, cloud architecture, and high-impact decision-making across the business.

Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.