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Nace AI

Creates task-specific SLMs for enterprises

Vice President of Engineering

Full-Time
No salary listed
Expert
Palo Alto, CA, USA
In PersonThe role is on-site in Palo Alto; relocation to the Bay Area is supported by willingness to relocate, not an explicit relocation benefit.
Engineering ManagementEngineering Leadership

About the job

Requirements
  • At least 10 years of software engineering experience, including at least 5 years leading engineering teams at high-growth startups or enterprise software companies.
  • A proven track record scaling an engineering organization from approximately 10 to more than 50 engineers while maintaining velocity and quality.
  • Deep technical fluency in modern machine learning and artificial intelligence systems, distributed infrastructure, and enterprise software as a service.
  • Experience shipping and operating products for enterprise customers with strict security and compliance requirements; fintech, audit, or regulated-industry background is a strong plus.
  • Professional proficiency in both English and Russian to collaborate across a distributed, multilingual engineering team.
  • Strong operational judgment to build lightweight processes that create leverage without unnecessary bureaucracy.
  • Exceptional judgment on hiring and experience building teams that people want to join and stay on.
  • Based in or willing to relocate to the Bay Area; the role is on-site in Palo Alto.
Responsibilities
  • Lead, grow, and retain a high-caliber engineering organization spanning machine learning, platform, and product engineering.
  • Own engineering delivery end to end, including planning, execution, quality, and velocity across a distributed team of researchers and engineers.
  • Set roadmaps with product and research leadership, drive execution, and maintain high standards for quality and speed.
  • Partner with the Chief Technology Officer on system architecture, technical strategy, and build-versus-buy decisions.
  • Establish scalable engineering processes, including planning cycles, code review standards, incident response, and on-call practices.
  • Ensure systems meet the reliability, security, and compliance expectations of enterprise financial customers, including SOC 2, data governance, and auditability.
  • Recruit senior engineering talent and design the organizational structure for the company’s next stage of growth.
  • Represent engineering with customers, partners, and investors as needed.
  • Manage effectively across a globally distributed team and multiple time zones.
Desired Qualifications
  • Experience with large language model-based products, agentic systems, or applied research environments.
  • Prior experience as a founder, founding engineer, or first Vice President of Engineering.
  • Familiarity with financial audit, accounting, or compliance domains.

About the company

Nace AI builds a meta-learning framework, MetaModel, that creates task-specific Small Language Models (SLMs) for enterprises. The system automatically selects model architectures, layer configurations, and parameters to tailor AI workflows for audit, compliance, and credit loan intelligence, delivering lightweight, workflow-focused AI that understands industry terms and regulatory needs. It differentiates itself by offering automated, explainable AI setups that align with company controls and financial regulations, enabling faster, more accurate results without extra resources. The company’s goal is to help enterprises adapt mainstream language models to their unique business needs, improving workflow efficiency, decision-making, and risk management.

Company Size

11-50

Company Stage

Seed

Total Funding

$26.5M

Headquarters

Palo Alto, California

Founded

2023

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Simplify's Take

What believers are saying

  • Walden Catalyst led Nace.AI's $21.5 million seed round in May 2026.
  • General Catalyst joined the round, strengthening fundraising credibility and enterprise distribution.
  • Nace.AI targets audit, compliance, and finance, where accuracy budgets justify premium pricing.

What critics are saying

  • Research preview status means Nace.AI still lacks proven repeatable enterprise revenue.
  • Open roles in Palo Alto signal heavy burn before customer validation or scale.
  • Competition from OpenAI, Anthropic, and Microsoft can commoditize workflow agents by 2027.

What makes Nace AI unique

  • Nace.AI's May 2026 MetaModel generates task-specific SLMs for enterprise workflows.
  • Its NAVI product injects policy at inference time, avoiding retraining and weight edits.
  • The company combines 100-plus AI agents with human expert validation for regulated work.

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Benefits

  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

2%

2 year growth

2%
Kursiv
Jun 30th, 2026
Yahoo! co-founder invests in AI startup with Kazakhstani roots

Nace.AI, a startup founded by Kazakhstanis, has secured investment from Yahoo! co-founder and Silicon Valley entrepreneur Jerry Yang

Kursiv
Jun 30th, 2026
Yahoo! co-founder Jerry Yang invests in AI startup founded by Kazakhstanis

Nace.AI, a US-based startup founded by Kazakhstanis Dos Bakytzhan, Zhanibek Datbayev and Abulhair Saparov, has secured investment from Jerry Yang, co-founder of Yahoo! and early Alibaba backer. Bakytzhan previously headed GOAT.AI, whilst Datbayev worked as an AI engineer at Meta. Saparov serves as assistant professor of computer science at Purdue University. The investment marks a significant backing from one of Silicon Valley's most influential entrepreneurs for the Kazakhstan-rooted AI venture. No financial details were disclosed.

The SaaS News
May 6th, 2026
Nace.AI raises $21.5M Seed Round.

Nace.AI raises $21.5M Seed Round. by Kay Aloha Villamor in Seed Round May 6th, 2026 Nace.AI, a Palo Alto, California-based applied AI company building specialized intelligence powered by its MetaModel architecture, has raised $21.5 million in Seed funding. Alongside the funding round, the company is launching its new product in research preview: a model for professional work in which more than 100 specialized AI agents autonomously manage complex workflows. The round was led by Walden Catalyst, with participation from General Catalyst and several institutional and angel investors. Walden Catalyst is a San Francisco-based venture capital firm focused on early-stage deep tech investments. The firm operates internationally, backing founders across the U.S., Europe, and Israel. With an inaugural fund of $550 million, Walden Catalyst supports companies in the AI, semiconductor, cloud infrastructure, and digital biology sectors. Nace.AI Use of Funds The company will use the funding to expand Nace.AI's research preview platform, further develop its MetaModel technology and specialized AI agents, and grow its expert validation network for enterprise workflows. About Nace.AI Led by CEO Dos Baha, Nace.AI is an applied AI company building a specialized intelligence powered by Metamodel designed to run companies. The company combines proprietary small language models, reinforcement learning agents, and human expert validation to deliver explainable, enterprise outputs for complex knowledge work. Headquartered in Palo Alto, California, Nace AI's long-term vision is to build a specialized intelligence that runs companies while redefining the role of knowledge workers. Funding Details Company: Nace AI, Inc. Raised: $21.5M Round: Seed Funding Date: May 2026 Lead Investor: Walden Catalyst Additional Investors: General Catalyst, institutional investors, and angel investors

Benzinga
May 5th, 2026
Nace.AI raises $21.5M to deploy AI agents that autonomously execute enterprise workflows with expert validation

Nace.AI has raised $21.5 million in seed funding led by Walden Catalyst, with participation from General Catalyst and other investors. The company is launching a platform where over 100 specialised AI agents autonomously execute enterprise workflows, with human experts providing final validation. The startup's proprietary MetaModel technology converts enterprise policies into Small Language Models that continuously learn from company-specific environments. The system processes unstructured data across financial histories, operational records and legal documents, producing outputs including financial audits, risk assessments and compliance reports. Nace.AI aims to shift professional services from a billable hour model to a 90/10 structure: 90% autonomous execution by AI and 10% final review by certified experts. The company is launching in research preview for finance, audit and compliance workflows.

Tech Funding News
Mar 25th, 2025
Google, Meta alums' Nace.AI emerges from stealth with $5M to develop task-specific AI models for enterprises

Nace.AI introduces MetaModel 1, a groundbreaking system that dynamically generates small, task-specific models, providing businesses with a more reliable, efficient, and adaptable AI solution than traditional large language models.