---
title: 'Infrastructure Engineer, Customer Delivery at Distyl AI'
canonical: 'https://feeny.ai/job/infrastructure-engineer-customer-delivery-distyl-ai-san-francisco-xb1p3qtxf931'
type: 'job'
last_seen: '2026-10-19'
---

# Infrastructure Engineer, Customer Delivery at Distyl AI

- **Company:** Distyl AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/distyl/276721f0-332e-4017-8298-9cd07b1de4d1

## 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

We're hiring a hands-on Infrastructure Engineer to lead cloud architecture and delivery of Distyl's AI platform across Distyl-hosted, customer VPC, and on-premises environments. You'll partner with customers, platform engineering, and forward-deployed AI engineers from discovery through production. Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.

You'll translate complex customer architectures and requests into working infrastructure, building reusable patterns and automation that make each launch easier.

You'll own customer deployments end to end and help shape a growing delivery team's practices. Success means faster launches, reliable operations, and less repeated work as deployments scale.

## Key Responsibilities

- Architecture ownership. Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls
- Platform and on-premises delivery. Work with forward-deployed AI engineers to deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling. Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies. Validate compatibility and recovery within customer change controls
- Automation mindset. Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable
- Customer relationships and communication. Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early
- Production security and reliability. Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners. Establish SLOs, observability, actionable alerts, and tested disaster recovery. Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners. Use incident and deployment data to improve reliability, runbooks, and support handoffs
- Hosted infrastructure. Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering
- AI runtime infrastructure. Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments
- AI-assisted engineering. Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability
- Technical leadership. Set delivery standards, mentor engineers, and help build the delivery team's technical practices. Partner with forward-deployed AI and platform engineers to unblock delivery and turn customer lessons into product improvements

## Who You Are

- 7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles
- Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud
- Customer-facing engineering experience with direct responsibility for technical delivery and stakeholder communication. You build trust, clarify requirements, negotiate scope, and keep stakeholders aligned
- Hands-on experience with networking, IAM, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits
- Proven experience writing and maintaining production infrastructure as code
- Strong production Python or Go experience building reusable infrastructure software, such as provisioning services, controllers, or deployment APIs
- Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage/cost visibility
- Experience turning customer requirements into production architectures, with clear control-plane/data-plane boundaries, CI/CD, and identity, network, and data integrations
- Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress
- Experience implementing network segmentation, data-residency controls, audit trails, SLOs, disaster recovery, and incident response
- Strong troubleshooting and automation skills. You balance speed with reliability, handle upgrades and stateful changes carefully, and verify AI-assisted work
- Technical leadership. You lead complex deployments independently. Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued
- Strongly preferred: Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds
- Preferred: On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
- Preferred: Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls

## What We Offer

- The base salary range for this role is $200,000-$250,000, 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)

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