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As a Software Engineer at Numeric, you'll develop and scale the financial data platform, focusing on automation, reporting, and transaction monitoring, while contributing to product strategy and user-centric solutions.

Engineering Manager leading teams building financial data infrastructure, reporting engines, accounting automation, and AI-enabled workflows. Responsibilities include hiring, performance management, team development, technical leadership, system design, code and architecture review, delivery ownership, and establishing engineering processes and standards. The role is hands-on and requires close collaboration with engineers while supporting product quality and organizational growth.

Own hands-on implementations to get customers live: configure workspaces, connect and validate ERP/sub-ledger data (especially NetSuite), run onboarding trainings, manage implementation project workstreams, and create docs/templates to automate and speed future implementations.

Own end-to-end customer implementations: kickoff, milestone planning, technical configuration and ERP integrations (especially NetSuite), training accounting teams on AI-first closes, driving go-live adoption, handing off to Customer Success, and building playbooks and AI-assisted automation to scale services.

Own a book of finance customers to drive adoption, retention, and expansion. Use AI-leveraged cadences to monitor account health, lead QBRs, build champions, surface expansion signals, and coordinate save plays across Sales and Product.

As an Associate Solutions Manager, you'll support customer onboarding, ensure adoption, create resources for self-service, and maintain customer health documentation.

Lead and grow an NYC engineering team as a hands-on manager. Own delivery of data ingestion, transformation, reporting, automation, and AI-enabled workflows while staying technically involved in system design, code review, hiring, and team performance.

Design end-to-end UX for complex, data-heavy accounting workflows. Prototype quickly (including code), collaborate closely with engineers and PMs, define reusable patterns and design-system components, and drive implementations from early exploration through production polish.

Own and build the Customer Success function: drive adoption, retention, and expansion by defining health scoring, playbooks, activation models, and metrics (GDR/NDR/TTV). Hire and coach CSMs, run QBRs and escalations, and act as a hands-on player-coach interfacing with finance leaders to ensure successful implementations and long-term customer value.

Lead and build the Sales Engineering organization: recruit, onboard, coach, and retain SEs; design enablement programs for non-traditional candidates; support complex, high-stakes sales; build AI-powered workflows to scale impact; establish org infrastructure (demo standards, comp, career ladders); and represent field insights to Product and Engineering to prioritize roadmap.