Dave

Account Manager

• Partnership strategy and execution for a defined set of high-impact vendors and financial partners aligned to Dave’s product and business priorities
• Cross-functional partnership development, working closely with Product and Engineering to identify needs, structure partnerships, and launch integrations successfully
• Evaluation and diligence processes for new partnership opportunities, incorporating input from Legal, Finance, Risk, Operations, and Compliance
• Ongoing partner management, regularly assessing performance, economics, risk, and strategic fit across existing relationships
• Commercial negotiations, including complex pricing and terms, in partnership with Legal and Finance
• Issue resolution and delivery, stepping in when needed to unblock teams, resolve partner issues, and keep critical initiatives moving
• Team leadership and development, coaching partnership and relationship managers, and setting clear priorities tied to business outcomes

Head of Partnerships – Vendor Management

Product Manager

• Lead product strategy for Dave’s member growth lifecycle, including activation, engagement, and multi-product adoption
• Guide and grow a team of product managers responsible for funnel optimization, personalization, and subscription or incentive mechanics
• Develop experimentation frameworks that help the team test ideas quickly while generating reliable learning
• Use cohort analysis and behavioral data to identify opportunities that improve activation, retention, and long-term member value
• Partner closely with marketing to strengthen the product and martech foundation supporting user acquisition and lifecycle engagement
• Shape cross-product experiences that help members discover the next most valuable step in their relationship with Dave

Director, Product Management – Growth

Financial Crime

• Conduct investigations related to potential financial crimes including fraud, money laundering, and suspicious account activity
• Review alerts and conduct customer due diligence by analyzing transaction histories, KYC information, and digital activity signals
• Document investigative findings clearly, identifying red flags, suspicious behaviors, and relevant context for alert disposition
• Maintain organized investigation records and case documentation to support regulatory compliance and internal review
• Partner with teams such as Member Success, Loss Management, and Risk to resolve escalations and investigate fraud incidents
• Monitor investigation queues and manage service level agreements to ensure timely resolution of alerts and cases
• Use available tools, data analysis, and research techniques to identify unusual activity patterns and emerging risks
• Participate in ongoing training and team collaboration to stay current on AML regulations, fraud trends, and investigative best practices

Financial Crimes Analyst I

Artificial Intelligence

• Own the full data lifecycle (ingestion, transformation, modeling, serving, access, quality, lineage) and accelerate AI enablement across the company.
• Design and evolve data platform and AI Acceleration team.
• Measure and increase automation across all data and analytics surfaces.
• Help product, analytics, and science teams move faster because of the platform.
• Treat the data platform as a product. Your customers are internal teams. Their velocity is your scorecard.
• Define and evolve the end-to-end data platform architecture across batch, streaming, and real-time use cases.
• Embed governance into infrastructure — data quality, lineage, semantic layer, access control, and compliance enforced by design rather than manual process.
• Build scalable ingestion, transformation, and modeling layers that create reliable, trusted, AI-ready datasets for analytics, product, finance, and science teams.
• Accelerate AI adoption through last mile tooling and increase automation.
• Establish operational excellence: clear SLAs, monitoring, observability, cost management and incident response practices that build trust across the company.
• Hire, develop, and retain strong data platform and AI engineers while fostering a culture of ownership, reliability, and thoughtful trade-offs.
• Partner closely with Analytics, Product, Science, Compliance, and Engineering to ensure the platform evolves with business needs.

Director, Data Platform – AI Acceleration

DevOps Engineer

• Lead architecture and automation across our GCP environment, ensuring reliability, scalability, security, and thoughtful cost management.
• Define and improve SLIs, SLOs, and error budgets using Cloud Monitoring and Datadog — connecting reliability goals to real business outcomes.
• Shape our multi-region, disaster recovery, and capacity planning strategies so the platform holds up as we grow.
• Design and optimize cloud networking, including VPC architecture, ingress/egress, Cloud Armor, VPN, and DNS to support internal systems, partner integrations, and member-facing services.
• Drive infrastructure-as-code and GitOps practices using Terraform, Kubernetes, Helm, and ArgoCD to make deployments predictable and repeatable.
• Mentor SREs and infrastructure engineers through design reviews, incident retros, and hands-on collaboration — strengthening technical depth across the team.
• Explore practical LLM-driven automation where it meaningfully reduces operational toil and shortens incident resolution time.

Staff Site Reliability Engineer

Growth Marketing

• Set the multi-quarter strategy for Product, Growth, and Marketing Analytics, aligning analytical and data science investment to the company’s highest-leverage priorities.
• Lead ideation and collaborate with Product, Eng to enable fast iteration for building new products.
• Guide teams to use AI agents to accelerate development, testing, and documentation
• Define and govern org-wide KPIs that connect product usage, growth efficiency, revenue, and member outcomes.
• Build and scale a high-performing analytics organization within a 50-person Data & AI org, developing managers and creating clear growth paths for analysts.
• Establish strong experimentation standards — including governance, prioritization, and decision frameworks that balance speed and rigor.
• Partner closely with Product, Growth, Marketing, Finance, and Data Engineering to ensure analytics is embedded, trusted, and actionable.
• Elevate storytelling and executive communication so complex insights translate into clear business decisions.
• Partnership with engineering teams to leverage platform for maximum speed and quality

Senior Director, Product Growth & Marketing Analytics

Risk

• Serve as the operational point of contact for Reg E and Reg Z dispute workflows across vendor partners
• Monitor vendor compliance with timelines, documentation standards, and audit readiness requirements
• Build and maintain reporting and scorecards that track dispute accuracy, turnaround times, and SLA adherence
• Conduct audits of dispute and fraud workflows to identify control gaps, quality issues, and automation opportunities
• Partner cross-functionally to operationalize regulatory requirements into clear, durable processes
• Use root-cause analysis to identify trends in disputes and chargebacks, recommending preventive improvements

Vendor Operations Specialist – Risk

• Review and validate executive, regulatory, and partner-bank complaints for accuracy, completeness, tone, and compliance.
• Ensure correct complaint classification, documentation standards, and root-cause attribution aligned with Reg E, Reg Z, UDAAP, and partner-bank requirements.
• Run quality reviews and targeted audits to confirm SLA adherence, response quality, and program consistency across internal and BPO workflows.
• Lead investigations into critical escalations, coordinating cross-functionally to ensure a full-scope analysis and durable resolution.
• Write clear, empathetic summaries of findings and recommendations for internal stakeholders and partner-bank partners.
• Use SQL and analytics tools to identify trends, monitor KPIs (volume, repeats, SLA performance, regulatory distribution), and surface emerging risks.
• Build and maintain dashboards and reporting that connect complaint data to VoC/QA signals and business outcomes.
• Translate insights into actionable recommendations across training, policy, controls, and product improvements.
• Support partner-bank reviews, due diligence requests, audits, and quarterly governance reporting with strong documentation and crisp storytelling.

Complaint Governance Specialist

Technical Program Manager

• Lead strategic programs across the Data, AI, and Analytics domains, delivering high-impact initiatives in platform modernization, machine learning deployment, and data governance.
• Partner with Data Engineering, Data Science, and Analytics leadership to define and sequence the Data roadmap, aligning scope and priorities with company objectives while driving effective prioritization and trade-off decisions across features, tech debt, and platform initiatives in an inherently ambiguous, fast-evolving environment.
• Drive end-to-end delivery across multiple engineering squads, managing complex dependencies across data pipelines, modeling workflows, and analytics infrastructure — ensuring smooth delivery from ingestion to insight.
• Drive the operationalization of AI models into production in partnership with MLOps and engineering teams, balancing innovation with compliance and performance.
• Collaborate with Product and Business teams to ensure data and AI solutions drive measurable outcomes — from credit decisioning to fraud detection to customer engagement.
• Drive delivery across third-party vendors and financial partners, ensuring integrated solutions meet program milestones, quality standards, and business objectives while proactively managing risks to scope and timeline.
• Build strong partnerships across Security, Infrastructure, Compliance, Legal, Finance, and Risk to deliver efficient, resilient, and capital-effective solutions.
• Champion Agile and CI/CD practices, elevating execution quality through repeatable, scalable delivery processes.
• Act as a trusted advisor to senior leadership, providing clear, actionable communication on program health, risks, trade-offs, and dependencies.
• Mentor TPMs and cross-functional partners, fostering a culture of technical excellence, ownership, and trust.