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Lead and scale engineering for an enterprise AI company, owning delivery, architecture, processes, reliability, security/compliance, hiring, and customer-facing technical leadership across ML, platform, and product engineering teams.

As a Financial Audit Consultant, you'll review AI-generated audit workpapers, define correct interpretations under audit standards, challenge AI assumptions, and influence the product roadmap with your audit expertise.

Own and operate end-to-end ML infrastructure for training, serving, and evaluation of LLM/SLM models. Build scalable low-latency inference (vLLM, batching, autoscaling), multi-GPU training/serving clusters, observability and monitoring, inference-time optimizations (quantization, distillation), reproducibility, versioning, and enterprise-grade auditability. Set MLOps best practices and standards.

Lead program management for product development: plan and track deliverables, run cadences, build roadmaps and dependency maps, surface and resolve risks, coordinate launches, and communicate progress between technical and non-technical stakeholders.

The Growth Lead will develop and execute performance marketing strategies, manage a team, optimize marketing budgets, and collaborate with engineering teams for data analysis.

The Senior Product Designer will define the architecture for user interactions with an AI workforce, build a design system in Figma, and create prototypes to validate designs, focusing on clarity and precision in complex financial environments.

The Valuation Due Diligence Expert will assess and validate financial models, ensure compliance with standards, and enhance financial workflows and product features based on analytical insights.

The Research Engineer role involves developing advanced AI models for financial operations, requiring expertise in language modeling and deep learning frameworks.

Lead the strategy, roadmap, and execution of AI-Agentic products, collaborating with various teams to ensure high-quality delivery and continuous improvement based on user insights and business goals.

Evaluate and test tax models for Nace.ai, identify errors, ensure compliance with tax laws, provide recommendations, and support product features.