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The Applied AI Engineer designs and deploys AI-powered solutions, collaborating with teams to automate workflows and improve efficiency across Alloy.

Contribute to machine learning model design, training, and evaluation for fraud detection. Communicate findings, develop metrics, and support production ML workflows while ensuring compliance and model governance.

Own and execute multi-channel demand-generation and partner marketing programs for mid-market banking. Build segmented nurture flows, manage paid and digital channels, coordinate events/webinars, hand off leads to Sales, track performance with RevOps, and iterate on playbooks using data and AI tools.

Lead design and delivery of large, ambiguous frontend and platform initiatives. Shape frontend architecture, standards, and shared patterns; build shared foundations and customer-facing surfaces; improve developer experience, reliability, and performance; partner with design and product; and apply AI-enabled workflows to boost engineering leverage and quality.

Lead complex, high-priority customer escalations, troubleshoot Alloy platform issues, design long-term solutions, improve tooling and documentation, mentor junior engineers, participate in on-call rotation, and collaborate with Product and Engineering to influence roadmap and product quality.

Own and build core backend systems for real-time fraud and risk decisioning: design performant Postgres queries and Node.js/TypeScript APIs, maintain scalable OpenSearch-backed lists, extend an AI explanation feature using AWS Bedrock and async tooling, collaborate with stakeholders and customers to define features, and drive system design for enterprise rollouts.

Own and scale partner-facing operational processes and tooling for Alloy's channel ecosystem: manage partner onboarding, deal registration, PRM administration, cross-functional launches, data hygiene, and channel reporting definitions while improving efficiency and coordinating with RevOps, Finance, Legal, and Technical Solutions.

Serve as the dedicated People Partner for Product and Engineering: coach managers, run performance cycles, monitor org health and attrition, partner on comp and workforce planning, use data-driven insights, support hiring with technical recruiters, and translate business context into people strategy.

Lead and grow a Developer Experience engineering team owning Alloy's external integration surface (APIs, webhooks, data ingestion, partner integrations). Set technical strategy, own roadmap and delivery, ensure reliability and scalability, recruit and mentor engineers, partner with product and stakeholders, track engineering health with DORA metrics, and communicate risks and progress. NYC hybrid role.

Lead analytics engineering efforts to design and build dbt models, maintain a semantic/metrics layer, ensure Snowflake performance, establish modeling/testing/documentation standards, partner with Data Science/Product/Engineering, and deliver native warehouse data products to customers.