DailyPay

Marketing Operations

• Assist the B2C Marketing team by executing pre-defined campaign setup tasks in our email marketing platform and ad platforms. Follow established playbooks and checklists to configure campaigns, build audience segments, and QA sends under close direction from senior team members.
• Complete recurring, process-driven tasks across marketing tools (e.g., list uploads, template creation, basic tagging, and campaign scheduling). Follow standard operating procedures set by the Sr Marketing Ops Manager; escalate technical issues or judgment calls upward. Does not include cross-functional alignment with Product or Engineering, or independent decision-making on data flows.
• Help monitor basic integrations and flag issues in our marketing tech stack for resolution by senior ops or engineering. Assist with routine maintenance tasks under guidance. Manage the day-to-day working relationship with our vendors when issues may arise and help coordinate with internal teams on action plans.
• Partner with the data team to pull standard performance reports for Marketing leadership on a scheduled basis as well as ad-hoc campaign reporting. Assist with data hygiene tasks and basic data entry.

Associate, B2C Marketing Operations – Strategy

Data Engineer

• Architect and Evolve our Data Platform: You will design and deliver end-to-end data models and pipelines that power critical business decisions, defining project scopes, unblocking dependencies, and ensuring our data layer remains reliable and extensible as we scale.
• Optimize for Performance and Cost: You will proactively identify and resolve performance bottlenecks across high-volume data workflows, taking ownership of query design, data scanning, and warehouse usage to keep our data platform lean, resilient, and built to scale.
• Align Data with Mission: You will serve as a bridge between technical solutions and business needs. Translating complex business logic into clean, reusable datasets and driving the creation of new, high-value data products that empower users across the organization.
• Champion Data Engineering Excellence: You will lead code reviews with a security-first lens, drive rigorous testing standards, and mentor peers with empathy to build team redundancy and shared capability.
• Support Architectural Modernization: You will contribute to DailyPay's transition from a monolithic to a micro-services architecture, ensuring affected pipelines are re-engineered for robustness, scalability, and long-term maintainability.
• Innovate with AI: You will champion the use of AI to develop more performant systems, improve proactive alerting, and design data products that enable data-driven decision-making across DailyPay.
• Participate in On-Call: You will join an on-call rotation, responding to production incidents and contributing to blameless post-mortems that strengthen our systems over time.

Senior Data Engineer

Operations

• Process high-volume payment files and perform complex user account reconciliations with a high degree of accuracy and attention to detail
• Consume and analyze data from multiple internal and external sources to troubleshoot and resolve payment processing issues.
• Work cross-functionally with internal teams to ensure payment processing.
• Identify, investigate, and resolve payment and product issues by utilizing the available systems and tools. Escalate to appropriate stakeholders as needed.
• Investigate unique user use cases to identify friction points, providing data-backed recommendations for iteration on existing operational workflows.
• Contribute to departmental efficiency by identifying and suggesting improvements to standard operating procedures (SOPs).
• Work on ad hoc projects/operational tasks for the payments team as needed.
• Adhere to departmental standards for accuracy, efficiency and SLAs

Payments Operations Analyst I

Sales

• Lead and coach a team of Large Enterprise Account Executives focused on acquiring net new enterprise customers within the 5,000–20,000 employee segment
• Drive disciplined pipeline generation, strategic account planning, and execution across complex enterprise sales cycles with multiple stakeholders and long procurement processes
• Ensure consistent execution of MEDDPICC, Sandler, and consultative sales methodologies throughout the sales process
• Build a culture of accountability, operational rigor, forecasting accuracy, and performance excellence through regular pipeline reviews, deal coaching, and performance management
• Coach sellers on enterprise discovery, executive engagement, multi-threading, negotiation strategy, objection handling, and value-based selling
• Partner cross-functionally with Legal, Security, Finance, Product, Marketing, and Customer Success teams to remove deal blockers and accelerate strategic opportunities
• Elevate the team’s ability to deliver compelling executive-level storytelling and business cases tied to workforce outcomes, ROI, and financial wellness impact
• Support strategic relationship management within existing enterprise customers to strengthen partnerships and identify expansion opportunities

Director, Large Enterprise Sales

Data Scientist

• Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
• Build reliable data pipelines and features for model development, following team infrastructure standards. Identify gaps in data infrastructure along the way and advocate for solutions with engineering partners.
• Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
• Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches and recommending the best tool for the problem.
• Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
• Follow and contribute to data quality standards and validation practices; flag issues proactively and help improve team patterns.
• Partner with product and engineering on scoped problem areas, translating defined business questions into well-structured DS solutions. Bring senior DS leadership in early on ambiguous or high-stakes problem framing.
• Communicate model results and tradeoffs clearly to product and cross-functional partners, connecting technical outputs to business outcomes.

Senior Data Scientist

• Act as the primary owner of Key Results (KRs) for the department, developing and implementing strategies to achieve and exceed confirmed fraud rate targets
• Work cross-functionally with PeopleOps and Finance to design and implement the long-term staffing model, including the creation of specialized sub-teams
• Lead technical and operational conversations with critical external partners to align detection logic and ensure compliance
• Collaborate with Compliance, Legal, Product, and Engineering to embed risk controls into the product lifecycle
• Author executive summaries and board-level reports that quantify financial ROI of the fraud program
• Lead the evaluation and implementation of new fraud detection technologies to continuously improve the platform’s prevention capabilities
• Direct the end-to-end operational implementation for product launches and company initiatives, ensuring all investigative workflows are optimized for new markets
• Lead the departmental response to system-wide incidents or bad-actor waves, coordinating with Engineering and Product to deploy immediate mitigations

Fraud Operations Manager

Product Manager

• Own the end-to-end success of your squad, including discovery, KPIs, Go-to-Market (GTM) strategy, and post-launch iteration
• Build and maintain a transparent product roadmap that aligns directly with overarching business outcomes and strategic goals
• Define the long-term product vision for your feature area in close partnership with design and engineering leads
• Execute rigorous discovery processes, utilizing frameworks like Jobs-to-be-Done (JTBD), problem framing, and assumption testing
• Analyze A/B test results and experimentation data to derive actionable insights and drive product decisions
• Act as the primary voice for your squad in planning forums, articulating priorities and navigating complex trade-offs with clarity
• Support the growth of the product organization by guiding L1/L2 PMs through pairing, active feedback, and informal mentorship
• Proactively surface user insights and market signals to influence high-level product strategy and future initiatives.

Senior Product Manager

Accounting Manager

• Lead, mentor, and champion your accounting team — including a Manager and multiple Senior Accountants — with an empathy-first management philosophy that recognizes people as the engine of performance
• Own a defined set of corporate accounting operations in close partnership with the co-Director of Accounting, with each director maintaining clear accountability over distinct areas of the monthly, quarterly, and annual close cycle
• Manage accounting responsibilities across a portfolio of approximately 12 subsidiaries, including intercompany eliminations, multi-currency translations, and ensuring consistent close processes and account reconciliations across all entities
• Drive continuous improvement initiatives to enhance efficiency, accuracy, and scalability, with a bias toward action and a willingness to make decisions under ambiguous conditions
• Implement AI-driven automation across the function using Claude (including Cowork and Code), including skill building, artifact creation, and agent deployment
• Ensure the integrity of the general ledger across owned entities, partnering with the broader accounting team and IT on system configurations, chart of accounts maintenance, and master data governance in NetSuite
• Design and implement robust internal controls over financial reporting (SOX compliance), proactively identifying gaps and driving corrective actions with urgency
• Take ownership of complex accounting areas including revenue recognition (ASC 606), leases (ASC 842), stock-based compensation, consolidations, foreign currency translations, and business combinations
• Lead the consolidation process across all domestic and international subsidiaries, ensuring intercompany eliminations and minority interest calculations are performed accurately
• Develop and maintain comprehensive accounting policies and procedures that are well-documented, clearly communicated, and consistently applied — even as the business evolves rapidly
• Serve as a key liaison with external auditors, managing the audit relationship with transparency and accountability
• Operate as an independent, decisive leader who can set the direction for your team and execute without needing constant direction — while keeping stakeholders informed and aligned
• Lead through ambiguity: when the path forward is unclear, you help your team navigate it with calm confidence and a clear framework for prioritization
• Foster a culture of psychological safety, professional growth, and continuous development — where team members feel seen, heard, and supported
• Partner cross-functionally with FP&A, Treasury, Tax, Legal, Internal Audit, and IT to drive alignment and enable DailyPay’s strategic objectives
• Communicate financial information and analysis to senior leadership in a clear, compelling, and timely manner

Accounting Director

Marketing

• Run the Always-On ABM Engine: Manage intent-based plays through Common Room to identify and engage in-market accounts in real-time.
• Connect Intent to Pipeline: Directly support the growth of new upmarket pipeline by ensuring buying signals are translated into immediate action and measurable revenue impact.
• Route Signals to the Right Owners: Monitor buying signals and orchestrate notifications when assigned accounts show meaningful activity, ensuring no opportunity is missed.
• Support Campaign Execution at Scale: Provide critical execution support to build and launch larger 1:few Industry campaigns to broaden our market coverage.
• Maintain ABM Systems & Reporting: Collaborate closely with Marketing Ops and Rev Ops to manage segmentation, automation, and tracking to ensure full visibility into ABM and intent data performance.

Senior Associate, Account Based Marketing

Financial Planning and Analysis

• Serve as the lead developer and technical point of contact for the Finance function's planning infrastructure
• Conduct a rigorous assessment of our current Anaplan environment against business requirements
• Design, implement, and test key internal controls for SOX compliance
• Implement and manage rigorous reconciliation processes across master data, revenue models, and expense plans
• Drive the creation of high-stakes content for internal leadership and external stakeholders

Senior Financial Transformation Analyst

Vice President

• Define the high-level vision and governing policies for the Professional Services and Solutions Engineering segments to ensure company-wide impact and operational excellence.
• Strengthen leadership depth and standardize delivery frameworks to create a predictable, scalable organization capable of supporting rapid enterprise growth.
• Drive accountability for integration stability and operational risk reduction, ensuring "healthier" integrations in steady-state and reduced operational loss.
• Optimize the implementation engine to decrease time-to-revenue across Strategic, Enterprise, and SME accounts through better tooling and process refinement.
• Serve as the principal advisor to the executive team on systemic organizational challenges and represent the implementation function in high-stakes client stakeholder meetings.
• Orchestrate tight alignment with Sales, Product, and Trust & Safety to ensure Professional Services serves as a trusted partner throughout the customer lifecycle.
• Advocate for client and team needs within the organization to drive product roadmap improvements that simplify technical integrations and onboarding.
• Establish and govern key performance indicators (KPIs) and reporting structures that facilitate data-driven executive decision-making.

Vice President – Professional Services

Security Operations

• Monitor security alerts and triaging potential threats.
• Review and analyze reported suspicious emails.
• Perform header analysis, URL sandboxing, and attachment detonation to identify malicious intent.
• Monitor DLP consoles for unauthorized movement of sensitive data.
• Investigate incidents involving PII or intellectual property.
• Investigate potential Account Takeover (ATO) alerts.
• Monitor the SIEM for alerts across endpoints, networks, and cloud environments.
• Assist in routine scans and ensure security agents are healthy and reporting correctly across the fleet.

Security Operations Engineer

Full-stack Engineer

• Elevate Atlassian ecosystem to institutional-grade standards.
• Design and enforce workflows that satisfy SOX, PCI-DSS, and GDPR requirements.
• Maintain a pristine history of configuration changes.
• Implement a formal "Sandbox-to-Production" lifecycle for Jira updates.
• Build advanced dashboards to monitor "Material Risk" and project health.

Senior Engineering Operations Admin

• Architect and own end-to-end ML systems for personalizing the user experience, including on-demand pay balance optimization
• Design and deploy content personalization systems including email content ranking, in-app experience sequencing, and offer relevance
• Lead the transition from offline batch scoring to real-time, low-latency inference pipelines embedded directly in product backends
• Establish the data infrastructure foundation the data science team requires: feature stores, training pipelines, labeling systems, data contracts, and monitoring frameworks
• Define and enforce data quality standards; design automated validation and alerting pipelines that protect downstream model and business health, implement CI/CD best practices for ML
• Partner directly with product and engineering leads to identify and quantify high-value AI opportunities and translate ambiguous business problems into multi-quarter technical roadmaps
• Communicate complex technical outcomes to executive stakeholders as concrete strategic recommendations, grounded in business impact and financial metrics
• Serve as the primary technical leader for a growing data science team, setting the technical direction, establishing standards, and mentoring data scientists at all levels through design reviews, architectural guidance, and code reviews
• Cultivate a culture of rigor, curiosity, and operational excellence; establish documented, standardized patterns that make the entire team more effective
• Drive cross-functional alignment on DS/AI success metrics, ensuring model performance is durably connected to measurable business outcomes
• Establish team norms and a shared framework for effectively and responsibly applying modern AI; setting expectations around when and how to use AI tools, how to evaluate their outputs, and how to maintain rigor as capabilities evolve rapidly

Senior Staff Data Scientist

Product Marketing

• Reporting to the Senior Director of Consumer Product Marketing, play a key role in the strategy, planning and execution of go-to-market strategy, product launches, campaigns, user experience optimizations and more to grow revenue
• Conduct qualitative and quantitative user research to deeply understand customer pain points, user behaviors, and market trends. Use insights to build product strategy
• Support the launch of new features, capabilities, and "big bet" products with a cross-functional team
• Drive the commercial strategy for new and existing products by optimizing pricing models and packaging structures
• Evaluate product funnel performance to hunt for friction and identify opportunities to drive adoption and engagement
• Partner closely with Enablement teams to help salespeople sell more effectively