Dave

Systems Engineer

• Automate or optimize high-volume manual processes (audit evidence collection, data gathering, compliance reporting) using APIs and workflows to reduce manual effort and human error
• Build integrations that pull data from systems of record (Okta, Workspace, GitHub, Security tools, Google Cloud, Snowflake) and consolidate it in BigQuery for audit readiness and analytics
• Design and implement agentic workflows that allow non-engineering stakeholders to interact with company data and reports through conversational interfaces, reducing their need to manually query or compile information
• Own the operational lifecycle of integrations: monitoring, alerting, troubleshooting, and evolving them as business requirements change
• Identify manual handoffs and repetitive tasks across IT, audit, and business functions, then build automation or agent-driven solutions to eliminate them
• Work cross-functionally with business teams to understand pain points, translate them into technical solutions, and measure the impact on time savings and compliance readiness
• Build scalable, resilient, and secure systems

Senior IT Systems Engineer, AI & Business Solutions

Account Manager

• Define and lead Dave's strategy for strategic distribution partnerships and alternative growth channels beyond traditional affiliate and paid media programs.
• Build and manage a pipeline of partner opportunities through proactive outreach and ongoing market evaluation, spanning platforms, ecosystems, and emerging distribution models.
• Own the end-to-end partnership lifecycle: sourcing, pitching, commercial structuring, negotiation, onboarding, and ongoing management, with a focus on deals that drive durable member growth.
• Lead negotiations for complex commercial agreements in close partnership with Legal, Compliance, Finance, and Marketing, ensuring structures that support long-term growth and member trust.
• Collaborate with Product to explore integrations, co-branded experiences, and embedded financial solutions that create new acquisition opportunities aligned to Dave's roadmap.
• Launch and scale partnerships from concept through implementation, working with Analytics and Marketing to measure performance and improve results over time.
• Lead by influence across the org: sharing partnership insights, surfacing best practices, and deepening collaborations as Dave's product ecosystem expands.

Marketing Partnerships Lead

Product Marketing

• Define customer segmentation and targeting using deep, data-backed segmentation
• Create an actionable segmentation of current members based on activity, lifecycle stage, demographics, and product usage
• Help clearly define Dave’s category and how our products compare to alternatives
• Craft clear, differentiated value propositions and product narratives
• Partner early with Product, Research, and Analytics to shape positioning and go-to-market strategy for new products
• Track competitive offerings, category shifts, and emerging member needs
• Establish scalable product marketing processes
• Bring rigor to decision-making by leveraging research, analytics, and testing

Lead Product Marketing Manager

Product Manager

• Own and define Dave’s MarTech Stack, including paid channel automation (SEM, Paid Social, Programmatic, etc), attribution, lifecycle, and experimentation infrastructure.
• Own end-to-end enablement of web growth strategy — from CMS, landing pages, and experimentation to web-to-app and deep-linking — while partnering with core product teams to streamline registration, onboarding, and the full paid media-to-app customer journey.
• Act as the connective tissue across Engineering, Data, and Marketing — ensuring alignment on priorities, clarity on plans, and efficient execution toward business outcomes.
• Drive rapid web experimentation by building and maintaining experimentation frameworks and infrastructure to test new growth hypotheses, from channel to creative to landing experiences.
• Drive the best-in-class playbooks and stay ahead of privacy changes to platform and policy shifts, as well as new entrants and new technologies — translating risks, impacts, and opportunities into clear guidance.

Senior Product Manager, MarTech

• Drive Flex card adoption: Lead Flex card features from discovery through launch and iteration, spanning onboarding, activation, spend, repayment, and member communication
• Ship with speed and conviction: Lead your squad through discovery, delivery, and in-market optimization - ensuring fast execution without losing sight of long-term impact.
• Own the numbers: Drive core metrics including offer-to-activation conversion, card usage, repayment behavior, and member retention
• Enable flawless execution: Translate goals into clear, prioritized backlogs in partnership with product, research, design, engineering, and data teams, leading to fast, high-quality execution
• Lead with evidence: Use qualitative research and quantitative data to surface the highest-impact opportunities across the member funnel
• Champion Flex card evolution: Explore and validate how Flex card evolves as a multi-product experience alongside ExtraCash and Dave Banking
• Shape a product in its earliest and most formative stages, making decisions that directly affect member access, financial outcomes, and how Dave grows.

Senior Product Manager, Flex

Product Designer

• End-to-end design for our new Dave Flex (BNPL), evolving the product from early launch to a mature, high-impact offering
• New features, improvements, and launches that balance speed, clarity, and member trust
• Product direction in partnership with Product and Engineering, including goals, success metrics, and roadmap decisions
• Thoughtful solutions across user needs, business constraints, and regulatory considerations
• Clear design narratives that help teams make informed trade-offs and move forward with conviction
• Mentorship and guidance for other designers, strengthening craft and collaboration across the team

Lead Product Designer, BNPL

Full-stack Engineer

• Develop and maintain cross-platform mobile applications using React Native and TypeScript.
• Provide technical leadership and assist guiding the team's overall technical direction.
• Write clean, maintainable, and scalable code following best practices (e.g., modular architecture, state management, performance optimization).
• Lead design and work breakdown sessions
• Implement requirements in TypeScript and Bash
• Lead and mentor other engineers in contributing to projects on our roadmap, including but not limited to, productivity tooling, test frameworks, ci/cd frameworks, common libraries, and mobile applications
• Implement dashboards and alerts for system faults and participate in on-call rotations
• Work closely with product development engineers to learn and understand cross-cutting concerns to create and evangelize easier ways for product engineers to adopt tools, packages, solutions, and best practices
• Work closely with Back End Infrastructure Engineering (BEI) to deliver on overlapping initiatives
• Lead and evangelize best practices through code reviews, pair programming, presentations at engineering group meetings, rich documentation,
• Champion code quality and testability
• Participate in 24/7 on-call rotations

Lead Software Engineer, Fullstack

General Counsel

• Lead Dave’s strategy and response across consumer litigation, class actions, arbitrations, regulatory investigations, enforcement actions, and other adversarial matters
• Partner with outside counsel to develop defense strategies, oversee case management, manage budgets, and ensure high-quality legal work product
• Build scalable processes for litigation holds, discovery, document management, and regulatory response coordination
• Advise executive leadership and the Board on litigation and regulatory developments, risk exposure, settlement strategy, and potential business impact
• Develop proactive strategies with Compliance, Product, and Risk teams to identify and reduce litigation and enforcement risk across Dave’s products and operations
• Over time, help build and lead a high-performing litigation and enforcement team that can support Dave’s continued growth and product expansion

Sr. Director, Assistant General Counsel – Consumer Litigation & Regulatory

Technical Program Manager

• Lead complex, cross-functional programs spanning product launches, platform modernization, operational tooling, and strategic infrastructure initiatives.
• Partner closely with Product and Engineering leaders to define roadmaps, sequence priorities, and make thoughtful trade-offs across features, scalability, and technical investments.
• Coordinate execution across multiple engineering squads and partner teams, ensuring dependencies, ownership, and delivery milestones stay aligned.
• Drive large-scale transformation initiatives involving process redesign, automation, system migrations, and third-party integrations.
• Collaborate with teams across Security, Infrastructure, Legal, Compliance, Finance, Risk, Analytics, and Operations to deliver resilient, scalable solutions.
• Manage delivery with external vendors and financial partners, proactively identifying risks and ensuring programs stay on track.
• Improve how work gets done by strengthening Agile delivery practices, CI/CD processes, governance frameworks, and program reporting.
• Provide clear, actionable communication to senior leadership on program health, risks, trade-offs, and execution progress.
• Mentor TPMs and cross-functional partners, helping elevate delivery discipline and operational maturity across the organization.

Lead Technical Program Manager

• Design, build, and maintain the backend code to support features used by our 5 million users
• Backend development in Typescript
• Regularly participate in code reviews and other team functions
• Provide technical leadership and assist guiding the team's overall technical direction
• Offer mentorship and pair with other engineers regularly
• Work closely with our PM and design teams to define feature specifications and build products leveraging frameworks such as React.js & React Native

Senior Full Stack Software Engineer

Machine Learning Engineer

• Own and scale ML-driven Marketing/Growth/Product capabilities
• Lead development and deployment of core models, including Propensity, Churn prevention, Customer Lifetime Value models
• Improve onboarding, targeting, personalization, and segmentation at scale
• Continuously evaluate and improve marketing spend efficiency through ML-driven insights and models
• Partner closely with Marketing, Product, and Finance to align ML investments with business priorities
• Set standards for model development, experimentation, and validation
• Design and optimize reward and incentive strategies to maximize user acquisition, activation, and retention

Lead Machine Learning Scientist

Artificial Intelligence

• Build the reconciliation foundation. Design and implement the data infrastructure that reconciles transactions across internal systems (e.g., operation, ledger) and external partners (ACH networks, banking rails, payment processors), ensuring every dollar in equals every dollar out.
• Lead anomaly detection and rules development. Develop and maintain a library of anomaly detection rules — covering timing differences, partial matches, unexpected delays, and true errors — and evolve them over time using ML-based signals as data matures.
• Implement AI-powered matching. Apply probabilistic and fuzzy matching techniques to automatically resolve ambiguous or near-match transactions, reducing manual review queues and improving straight-through processing rates.
• Flag and triage unmatched records. Build real-time and batch pipelines that surface unmatched, delayed, or anomalous transactions to the right stakeholders, with enough context for fast resolution.
• Partner cross-functionally as the technical lead. Serve as the primary data partner for Engineering (system integration and pipeline reliability), Finance/Accounting (period-end close, audit support), and Recon Operations (workflow tooling, exception handling).
• Define data quality standards. Establish validation frameworks that distinguish expected timing lags from genuine discrepancies, and document data contracts between upstream systems.
• Drive automation and process improvement. Identify and eliminate manual reconciliation workloads through scalable pipelines, alerting systems, and self-serve tooling for operations teams.
• Elevate the team. Share reconciliation and data quality best practices, mentor analysts, and help establish this function as a core capability within the Analytics org.

Senior AI Reconciliation Analyst

• Help shape the systems that power how AI agents are created, connected to data, and safely deployed across the company
• Create the underlying infrastructure and patterns that allow teams across Dave to build and trust AI-driven workflows
• Partner closely with Data Engineering, building on a trusted data platform to create an AI Agent Factory that scales across the business
• Establish how AI operates across Dave, enabling teams to move faster with better information
• Build and operate systems end-to-end, focusing on execution and reliability

Lead/Staff AI Acceleration Engineer

Operations

• Vendor oversight for dispute and fraud workflows, ensuring adherence to regulatory requirements, SLAs, and quality standards
• Day-to-day performance management across offshore BPO partners, including KPIs, reporting, and ongoing calibration
• Audit and control processes that identify gaps in dispute handling, documentation, and compliance readiness
• Root cause analysis across disputes, chargebacks, and operational errors — and the actions that prevent repeat issues
• Cross-functional workflows with Risk, Compliance, Legal, Fraud, and Product to improve dispute accuracy and operational clarity
• SOPs and process design for new products, regulatory changes, and evolving servicing models

Vendor Operations Manager

Engineering Manager

• Lead and develop a team responsible for ledger systems and reconciliation pipelines that underpin all money movement
• Define architecture that prioritizes correctness, idempotency, and auditability over short-term convenience
• Design and evolve double-entry ledger models, transaction lifecycles, and reconciliation workflows across products
• Build systems that reconcile internal state with external partners (banks, processors, networks) with high confidence
• Partner with Accounting to encode financial rules, reporting requirements, and controls directly into system design
• Establish engineering practices focused on data integrity, observability, and reliable recovery