Greenhouse Chime - Large
Jobs at Greenhouse Chime - Large
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Lead the end-to-end lending product at Chime: define strategy and roadmap, prioritize investments, partner cross-functionally (Engineering, Design, Data Science, Risk, Legal, Ops, Marketing, Finance), use data and experimentation to grow a profitable product, expand use cases, and drive member-focused product decisions from strategy through launch.
Lead end-to-end design for high-impact consumer product initiatives across Growth, Spending, or Lending. Define product strategy, create polished mobile and web experiences, use research and analytics to iterate, evolve the design system, and mentor peers to raise design quality.
Design and optimize full-funnel lifecycle programs to engage, retain, and grow members. Build targeted, segmented campaigns across push, in-app, email, and SMS. Run experiments and A/B tests, analyze performance, and collaborate cross-functionally to drive growth, revenue, and member lifetime value while developing channel governance and personalization strategies.
Serve as trusted advisor to legal leadership and run legal operations: drive cross-functional initiatives, manage meetings and strategic planning, design and improve CLM/e-billing/matter management workflows, own budget and outside counsel/vendor relationships, handle law enforcement and government request responses, and support hiring, onboarding, and performance metrics.
Lead lifecycle strategy and execution across email, push, in-app, and SMS to drive retention, product attach, ARPAM, and LTV. Build segmentation and testing with Data Science, use AI and automation to personalize journeys, and influence cross-functional partners to improve lifecycle capabilities and outcomes.
Build and own backend lending systems and APIs that power credit, funding, repayments, and servicing. Design, implement, test, and scale reliable, auditable financial services; collaborate cross-functionally to deliver end-to-end features and improve system reliability and standards.
Lead and grow a hands-on engineering team building member-facing deals and backend offers platforms. Ship code, set technical direction, drive architecture for reliability and scale, partner with Product/Design/Analytics, manage partner integrations, and own operational health and incident response.
Own full-cycle technical recruiting for engineering roles: source, screen, coordinate structured interviews, manage candidates to offer, build pipelines, track recruiting metrics, partner with hiring teams, and improve workflows using emerging tools including AI-enabled recruiting technology.
Lead design and delivery of backend lending systems connecting member-facing products with platform services. Drive cross-team initiatives, define APIs and data contracts, ensure scale, resiliency, observability, and financial correctness. Participate in on-call and incident response, mentor engineers, and partner with product, risk, data, and finance to turn ambiguous problems into durable platform solutions that unlock velocity across Lending.
Lead data-driven growth initiatives across acquisition, conversion, activation, and early retention. Partner with Product, Engineering, Analytics, and Lifecycle teams to design, launch, and measure experiments, optimize messaging and member journeys, size opportunities, and communicate insights to stakeholders to improve member growth and business outcomes.
Analyze enrollment and application data to detect and reduce synthetic identity and ID theft, design and monitor new-account risk policies, build dashboards tracking Funnel Enrollment Rate and fraud metrics, monitor vendor models and risk signals, and support cross-functional ad-hoc analyses.
Support investor relations by preparing earnings materials, maintaining investor-facing content and CRM, tracking analyst research and market news, coordinating investor events and roadshows, fielding investor inquiries, and assisting financial modeling and executive/board materials.
Build and operate core data infrastructure: deploy and maintain Airflow, Flink, and chalk.ai environments; own DynamoDB and RDS storage; write Terraform and run Kubernetes workloads; partner with Data Engineering to design scalable, reliable infrastructure; improve observability, capacity planning, and operational hygiene.
Build and operate deployment infrastructure for Airflow, Flink, and chalk.ai; own DynamoDB and RDS storage; write Terraform IaC; manage Kubernetes workloads; partner with Data Engineering to design scalable, reliable infrastructure; drive observability, capacity planning, and operational improvements; participate in full lifecycle of infrastructure changes.
Lead and grow data engineering teams to build a scalable, AI-ready data platform with strong governance. Partner with Product, Analytics, Data Science, and Marketing to deliver trusted data products, drive data quality, CI/CD, and operational reliability, and prioritize high-impact work while fostering technical excellence and innovation.
Build and maintain the backend infrastructure for member support: contact center (voice/chat/IVR), agent provisioning, AI-powered self-service and call/chat summarization, routing and observability pipelines, and resilient APIs. Collaborate with product, conversational design, and operations; write well-tested scalable code; participate in on-call rotation and improve system reliability and monitoring.
Build and scale card products end-to-end across frontend (web and mobile) and backend services. Lead multi-engineer efforts, design scalable systems, collaborate with product/design/risk/compliance, improve engineering quality, mentor engineers, participate in on-call rotation, and deliver reliable features for millions of members.
Partner with Marketing, Growth, Product, and Data to manage marketing budgets, forecast growth, and measure ROI. Build scalable financial models, dashboards, and cohort analyses to inform investment decisions, improve forecasting, and communicate insights to senior leadership and earnings narratives.
Own and improve messaging, caching, job processing, and workflow platforms. Build frameworks, libraries, and operational tooling for reliable, scalable inter-service communication. Automate platform operations, enable self-service for engineers, integrate workflow orchestration (Temporal, Cronitor), govern Redis usage, and collaborate with product, data, and infrastructure teams. Drive observability, security, and AI-enabled engineering tooling to help engineers ship production systems safely and efficiently.
Partner with Strategic Finance on Spending products to build scalable analytics infrastructure, semantic layers, and AI-assisted workflows. Define roadmap, design experiments and causal analyses, apply ML to business problems, deliver executive-level data storytelling, and mentor other analysts while enabling Finance self-service analytics.
