Jobs at EarnIn

• Own the home screen and core navigation experience, moving it from a static, rule-based surface to one that's ML-orchestrated, showing each member the right next step, whether that's their first Cash Out, a product they haven't discovered yet, or a fix for something broken
• Create tight feedback loops with our community members and a deep understanding of product issu...

• Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces.
• Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale.

• AI-Agent Design and Build: Design, build, and operate AI agents in production, following established governance patterns for model selection, evaluation, and safety. Contribute to infrastructure-as-code practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like any other critical component.

• Operate as a Staff-level technical leader: set standards, architect solutions, mentor engineers, influence work across teams, and build reusable systems and practices that multiply your impact beyond what you ship yourself
• Bring AI-first thinking to reliability practices, using AI to speed up alert triage and inciden...

• Design and build MCP servers that expose platform capabilities as safe, well-scoped tools for AI agents and developer-facing assistants. Contribute to enterprise MCP patterns, LLM tooling, agentic guardrails, knowledge repositories, and framework rollout.
• Design structured, agentic workflows for platform operations — incident triage, deployment vali...

• Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation to replace manual operations.
• Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges, advising on technical data issues, and implementing self-serve solutions.

• Set Platform Strategy & Architecture: Define the technical vision, architecture, and multi-year roadmap for Identity & Trust, establishing scalable patterns across authentication, authorization, KYC/identity verification, PII protection, secure document processing, deduplication, and related trust capabilities.

• Be a strong partner to the product and other engineering teams, driving improvements in business metrics and building new features. Examples include improving user acquisition metrics, cross-selling and upselling products, and improving user experience.
• Drive the design and implementation of new product areas and features. Break complex problems d...

• Own configuration and ongoing optimization of Workday Core HCM and Security frameworks
• Design and maintain business processes, workflows, and system controls across the employee lifecycle

Position Summary:

Are you interested in exploring career opportunities with EarnIn, but do not match any of our current openings? No worries!

• Design and refine core experiences across the full customer journey—from bank connection and account setup to earnings tracking and repayment experiences
• Partner with PMs, engineering, and data teams to define design requirements and validate solutions through research and usability testing

• Teams across engineering can ship AI-assisted features faster, with fewer rework loops
• The harnesses you build are actively used and well-documented

• Draw on firsthand experience with the friction, toil, and frustrations that slow engineering teams down and use that empathy to build tools and automation that actually solve the right problems.
• Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and raise the quality bar for software delivery.

• Define and own the machine learning roadmap in alignment with business goals.
• Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.

• Optimize through data: Use performance data and insights to refine campaigns, test new channels, and improve creative, so every dollar drives incremental growth.
• Lead experimentation and measurement: Build, prioritize, and run new user acquisition initiatives, with structured measurement frameworks behind each one.