Boulevard

Risk

• Conduct comprehensive merchant application reviews and analyses covering KYC and AML rules
• Review and analyze flagged transactions and alerts, making recommendations regarding payments processing standards
• Assist in developing fraud detection and risk management systems and tools
• Review merchant transaction history to assess risk and recommend payment processing limits
• Manage inquiries and requests from customers, partners, and internal teams
• Collaborate with Onboarding, Customer Support, and external partners on payment processing matters
• Review and approve merchant applications while ensuring compliance with internal policies, processor guidelines, card brand rules, and federal regulations
• Recommend enhancements to streamline underwriting and improve the merchant experience

Risk Analyst II

Sales Development Rep

• Conduct strategic outbound outreach to potential clients through email, phone, social media, and other channels
• Qualify leads by understanding needs and identifying pain points
• Introduce prospects to appropriate Boulevard solutions
• Use Salesforce, Gong, LinkedIn, and other sales tools to organize work, track conversations, and measure impact
• Schedule meetings and demos for partnered Account Executives
• Generate high-quality leads from target industries
• Monitor business management software and POS market trends
• Meet or exceed activity targets and revenue-driving KPIs

Sales Development Representative

Data Scientist

• Build Boulevard’s product data foundation by defining data capture requirements, designing data models, and developing a scalable analytics technology stack with data engineering
• Develop data-driven recommendations with Product through narratives, data storytelling, and audience-appropriate visualizations
• Build scalable self-serve dashboards and enable stakeholders to independently explore and interpret data
• Operationalize product analytics and connect it to OKRs and business outcomes
• Own exploratory and deep-dive analyses of customer and product behavior, including funnels, retention, cohorts, and feature adoption
• Bridge product data and the broader organization to influence cross-functional decisions and outcomes
• Create scalable team processes and analytical workflows that ensure data accuracy
• Own Product Development experimentation, including test design, analysis, impact readouts, experimentation standards, templates, and tooling workflows
• Design quasi-experimental analyses when clean A/B tests are not possible
• Apply statistical and machine learning methods to model customer behavior, adoption, retention, churn, segmentation, activation, and causal drivers
• Productionize models with data engineering, including scheduling, monitoring, versioning, drift management, retraining, and retirement
• Partner with Product, Engineering, data engineering, and executive stakeholders to shape product strategy and roadmap investment

Staff Data Scientist

Operations

• Own administration and optimization of the Support tech stack, including Salesforce, Intercom, and Jira
• Manage integrations that enable seamless handoffs and reliable day-to-day operations
• Execute strategy with Support leadership by translating business objectives into processes, workflows, and tool configurations
• Design and implement data flows from Intercom and Jira to Salesforce
• Design and maintain Intercom and Salesforce dashboards measuring Support KPIs
• Provide high-level and ad hoc reporting and analysis to Support and CX leadership
• Identify and implement automation, workflow improvements, and tooling enhancements, including AI where impactful
• Collaborate with Revenue Operations and cross-functional stakeholders on data, tooling, and process design
• Support change management, reporting, and Support influx for product releases
• Maintain process and workflow documentation in Confluence

Risk Analyst II

Sales Development Representative

Staff Data Scientist

Support Operations Manager