---
title: 'AI Engineer, Enterprise Lead at Distyl AI'
canonical: 'https://feeny.ai/job/ai-engineer-enterprise-lead-distyl-ai-san-francisco-bfgwqzjz2bvq'
type: 'job'
last_seen: '2026-09-14'
---

# AI Engineer, Enterprise Lead at Distyl AI

- **Company:** Distyl AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-18
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/distyl/a5d2b03b-61e2-4a83-9e74-beea1e3e7e72

## Job description

## About Distyl AI

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.

We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.

Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.

## What We Are Looking For

AI Engineers, Enterprise Lead are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments. They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments.

This role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability.

## Key Responsibilities

- Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
- Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
- Develop AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
- Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
- Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements
- Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement
- Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment

## What We Require

- 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
- Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck
- Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts
- Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
- Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes
- Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations
- AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build
- Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement

## What We Offer

- The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible time off
- Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
- Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
- Complimentary in-office lunches and snacks provided
- Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
- Ownership of high-impact projects across top enterprises
- A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid

We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

## About Distyl AI

## Company Overview
- **One-liner**: Distyl AI partners with world-class institutions to rearchitect their operational systems for abundant intelligence, deploying AI-native workflows at production scale.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Arjun Prakash (Co-Founder, CEO) and Derek Ho (Co-Founder, COO)

## Core Business
- **Primary Industry**: AI-Native Operations / Enterprise AI
- **Target Customers**: Large enterprises and institutions in regulated industries (Fortune 500 companies), specifically financial services, healthcare, telecom, insurance, manufacturing, and retail.
- **Mission/Purpose**: To help world institutions rearchitect their systems for abundant intelligence without sacrificing human agency and control.

## Products & Services
- **Distillery (Proprietary Platform)**: An agentic infrastructure platform that curates context from across the enterprise, enabling composable routines, policy-aware execution, and built-in auditability. It integrates with existing enterprise systems to allow for autonomous workflows.
- **Distyl Scans**: A service offering that provides enterprises with an “AI Readiness” score and a roadmap for adopting AI-driven technologies by surveying KPIs, business processes, data landscape, and tech stack.
- **AI-Native Workflows**: Custom, full-stack solutions deployed for specific industries, including intelligent underwriting, claims processing, prior authorization automation, and contact center intelligence.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metrics**:
    - **Total Funding**: $202 million (across 3 rounds: Seed, Series A, Series B).
    - **Annual Revenue**: $1.0 million (per LinkedIn).
    - **Decisions Processed**: Over 1 billion decisions processed annually at production scale.
    - **Deployments**: 50+ enterprise deployments across Fortune 500 companies.
- **Notable Investors/Partners**: Lightspeed Venture Partners (led Series A & B), Khosla Ventures, DST Global, Coatue, Dell Technologies Capital, OpenAI, Microsoft.
- **Growth Signals**:
    - **Massive Headcount Growth**: 117 employees (+101.3% YoY, +77 people) as of recent data.
    - **Latest Funding**: Raised a $175 million Series B in October 2025.
    - **Industry Reach**: Active production deployments across 12 industries.
    - **Talent Pipeline**: Strong hiring from top-tier companies like Palantir, McKinsey, Amazon, and Microsoft.

## Competitive Advantages
- **Outcome Ownership**: Unlike a pure software vendor or consultancy, Distyl takes "Relentless Outcome Ownership," deploying solutions and managing them in production to ensure EBITDA impact within 6 months.
- **Full-Stack AI**: They combine strategy, research, and engineering to build and deploy production-grade systems, not just demos or proofs-of-concept.
- **Built for Regulated Industries**: Their platform is designed with dynamic guardrails and auditability, making them a trusted partner for sectors like healthcare and finance where compliance is non-negotiable.
- **Strong Backing**: Backed by a consortium of top-tier venture capital firms and strategic investors like OpenAI and Microsoft, providing deep resources and credibility.

## Strategic Focus
- **Defining the AI-Native Enterprise**: Distyl is focused on building the systems, workflows, and operational models that will define how large enterprises operate in the age of AI.
- **Agentic Systems at Scale**: Their current priority is deploying agentic systems that are practical, auditable, and safe, moving beyond simple automation to complex decision-making.
- **Industry Expansion**: With deployments in 12 industries, they are aggressively expanding their footprint in financial services, healthcare, and telecom, while also targeting supply chain and insurance.

## Why Work Here
- **Culture & Work Style**: Described as fast-paced and outcome-oriented. The company values "relentless curiosity," direct feedback ("no ego-stroking"), and a bias for shipping real solutions. The work is described as defining the future of enterprise AI.
- **Remote/Hybrid Policy**: For all engineering roles and most other roles, the company requires in-office collaboration **3 days a week** in either San Francisco or New York City. They also have a London office.
- **Benefits & Perks**:
    - **Health & Wellness**: 100% coverage for medical, dental, and vision insurance for employees and dependents. 8 weeks of parental leave. Flexible PTO.
    - **Compensation**: Competitive salary and meaningful equity. Retirement plans. Life and disability insurance.
    - **Additional**: Relocation support for moves over 100 miles. Daily meals and snacks in-office. Commuter benefits.
- **Engineering & Research Focus**: The interview process is practical, featuring collaborative live coding and system design discussions, and the use of AI is encouraged during interviews. They hire people who "make AI work better than anyone else."

## Sources
1. [distyl.ai](https://www.distyl.ai/)
2. [distyl.ai - About](https://www.distyl.ai/about)
3. [distyl.ai - Careers](https://www.distyl.ai/careers)
4. [LinkedIn - Distyl AI](https://www.linkedin.com/company/distylai)
5. [CB Insights - Distyl](https://www.cbinsights.com/company/distyl-ai)

## Other roles at Distyl AI

- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-distyl-ai-new-york-8q61z2gn6mvv) — New York, NY
- [Executive Operations Associate, Office of the CEO](https://feeny.ai/job/executive-operations-associate-office-of-the-ceo-distyl-ai-san-francisco-hj2xp93s2pef) — San Francisco, CA
- [Head of Talent Acquisition](https://feeny.ai/job/head-of-talent-acquisition-distyl-ai-san-francisco-3rmyn3we3f3c) — San Francisco, CA
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- [Research Engineers, Post-Training](https://feeny.ai/job/research-engineers-post-training-distyl-ai-san-francisco-zgw63z6bgdh3) — San Francisco, CA
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