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Build a reusable Python ingestion framework to replace legacy Java ETL, develop real-time PostgreSQL-to-Snowflake streaming and CDC pipelines, and improve customer onboarding with LLM-assisted schema mapping. Own production deployment, monitoring, data quality, recovery, and secure handling of sensitive data. Collaborate with the Data and AI Platform team to design infrastructure and make pragmatic architectural decisions.

Own new-logo sales for growing RIAs and independent wealth management firms. Responsibilities include sourcing and managing pipeline, conducting discovery, quantifying ROI, navigating stakeholder buying processes, closing $50K–$250K ARR deals, partnering on onboarding and expansion, maintaining CRM hygiene, and consistently exceeding quota. The role also involves helping build Nevis’s mid-market go-to-market engine.

Own enterprise deployments end to end, serving as the primary technical customer contact from scoping through go-live and expansion. Design integrations and data flows, configure AI agents and workflows, build prototypes, diagnose production issues, and translate customer workflows into platform capabilities. Collaborate with customer engineering, operations, leadership, and vendors while feeding field insights into product development.

Build and own Nevis’s native iOS and iPadOS app from architecture through App Store release. Collaborate with design, backend, and AI teams to create polished, responsive, secure, accessible, and offline-capable experiences for financial data and streaming AI workflows. Own performance, networking, testing, observability, crash-free quality, provisioning, phased rollouts, and release processes while rapidly prototyping and iterating on product experiences.

Own enterprise deployments from scoping through go-live and expansion. Serve as the primary technical customer contact, understand workflows, design integrations and data flows, configure AI agents, build prototypes, troubleshoot production issues, and relay field insights to product teams. The role requires strong Python and SQL skills, production LLM experience, precise data judgment, excellent communication, ownership, comfort with ambiguity, and willingness to travel onsite with customers.

As a Product Designer, you'll drive design from inception to launch, simplify complex workflows, engage with clients, and iterate based on feedback.

The Product Designer will own the design from problem definition to shipping, simplifying complex workflows and collaborating with users to improve the product.

As an Operations Manager (Product), collaborate with teams to define operational strategies, analyze metrics for inefficiencies, translate insights into plans, and oversee cross-functional projects to enhance product success.

The Deployment Strategist will manage enterprise AI deals in wealth management, driving deployment and expansion while engaging with C-suite executives and leading deployment projects.

The Software Engineer (Python) role involves developing and maintaining an AI platform, building scalable APIs, and collaborating with cross-functional teams to enhance AI workflows for financial firms.