Top Fintech Jobs in Denver & Boulder, CO

Leads the design, governance, implementation, and continuous improvement of marketing review processes. Coordinates Marketing, Legal, Compliance, technology, vendors, and audit stakeholders; oversees workflow tools, controls, documentation, reporting, training, access management, and issue resolution. Improves transparency, audit readiness, user experience, regulatory adherence, and speed to market for marketing content approvals.

Leads enterprise-wide People Operations process transformation, HRIS Operations, and People Services. Develops strategies, redesigns employee lifecycle workflows, drives automation and AI-enabled improvements, establishes governance and metrics, improves HR service delivery, and manages cross-functional teams. Partners with HR, Finance, Legal, IT, Security, and business leaders to deliver scalable, compliant, data-driven operational improvements.

Investigate partner- and API-originated fraud and ACH risk cases, validate AI-generated decisions, manage operational queues, identify suspicious patterns, and mitigate risk while minimizing legitimate partner friction. The analyst will handle complex escalations, document AI feedback, improve workflows with automation, collaborate with risk, product, engineering, and partners, and provide subject-matter expertise for embedded payroll risk operations.

Own full-cycle recruiting across Sales, Revenue Operations, and Marketing. Advise leaders on hiring profiles, compensation, talent markets, and candidate trade-offs; conduct market mapping, build GTM talent networks, calibrate interview processes, manage stakeholder relationships, and use data and AI to improve recruiting outcomes and candidate experience.

Lead and grow an inside sales team promoting a SaaS financial reporting platform. Responsibilities include recruiting and coaching representatives, developing sales and pipeline strategies, driving new business and account expansion, forecasting performance, supporting complex customer conversations, and presenting market insights to leadership. The role requires strong B2B enterprise software sales experience, sales methodology expertise, analytical forecasting skills, and the ability to build scalable revenue processes.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Build and lead Engine’s risk function for its corporate card and spend management product. Define risk tolerance, credit and fraud guardrails, second-line governance, risk committee operations, and reporting infrastructure. Govern fraud and credit teams, partner with Product and Engineering to embed controls into products, collaborate with Sales on risk appetite, and work with Legal and Compliance on BSA/AML, UDAAP, and card issuing obligations. Translate risk signals into financial and executive-level insights.

Leads complex, cross-functional initiatives from strategy through execution, setting direction, sequencing work, resolving ambiguity, and making tradeoffs. Builds repeatable operating models, improves program management methods, coaches stakeholders, drives AI and automation adoption, and partners with Business Operations leadership on initiative health, reporting, and planning.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Leads enterprise forecasting, financial planning, scenario modeling, performance reporting, and strategic decision support. Builds planning frameworks, governance, dashboards, and executive insights across financial and operational drivers. Partners with senior leaders across Finance, Product, Marketing, Operations, Technology, Treasury, Risk, and Strategy. Manages planning cycles, develops a high-performing team, improves analytics and processes, and strengthens risk awareness.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Own growth initiatives across Toast’s Guest products, beginning with onboarding and activation. Build tools that capture restaurant context, reduce human dependency, accelerate time-to-value, and drive campaign adoption and retention. Partner cross-functionally with engineering, design, operations, onboarding, and product teams to identify high-impact opportunities, instrument funnels, and run experiments. The role involves AI-native product development using agents, LLMs, and structured knowledge stores.

Build and operate enterprise-grade backend microservices, data pipelines, integrations, and internal tools for finance automation. Productionize AI and agentic workflows, design event-driven systems across billing, ERP, Salesforce, and data platforms, and develop lightweight operator UIs. Own technical strategy, architecture, reliability, auditability, permissions, and enterprise controls including SOX and PCI requirements. Collaborate with Finance, Security, Compliance, and Audit teams to deliver scalable automation solutions.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.