---
title: 'Corporate IT Engineer at Alembic'
canonical: 'https://feeny.ai/job/corporate-it-engineer-alembic-san-francisco-r23xef67272p'
type: 'job'
last_seen: '2026-09-07'
---

# Corporate IT Engineer at Alembic

- **Company:** Alembic
- **Location:** San Francisco, CA
- **Compensation:** $140k–$186k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/alembic/fa40e0f3-b470-4c39-af6c-52875c695083

## Job description

## CORPORATE IT ENGINEER

## About Us

Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes — the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.

We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure — one of the fastest private supercomputers in the world.

## About the Role

We're looking for someone to own Corporate IT end to end as Alembic scales — the person who makes sure the company's people, devices, identity, and tools just work. This is a broad, foundational role with room to define itself: part hands-on IT, part engineering, with a clear path to automate yourself out of the repetitive parts. It suits someone who likes being the go-to fixer today and is just as motivated to build the systems that make the fixing unnecessary tomorrow.

We're deliberately keeping the scope open. Tell us what this role should be.

## What You'll Do

- Own the employee IT lifecycle — onboarding, offboarding, devices, and access — so new hires are productive on day one and access is clean when people leave.
- Administer our core SaaS and identity stack (SSO, MDM, directory) with security and least-privilege as defaults, not afterthoughts.
- Be the first line of internal support, then turn recurring issues into self-service, documentation, and automation.
- Partner with Engineering and Security to keep our endpoints, networks, and tooling reliable and compliant as we grow.
- Script and automate the manual work — provisioning, reporting, routine fixes — so IT scales faster than headcount.

What Will Help You Succeed

- Experience owning IT, systems administration, or IT engineering in a fast-growing company.
- Fluency with identity and device management (e.g. Okta/Google Workspace, Jamf/Intune) and the common SaaS stack.
- Comfort scripting (Python, Bash, or similar) and a genuine bias toward automating repetitive work.
- A security-conscious mindset and care for the details that keep a company safe.
- A service orientation paired with engineering instincts — you fix the ticket and then fix the cause.

## Why You Might Be Excited About Alembic

- Real ownership from day one: This is the IT function for the whole company, and it's yours to shape and build.
- Build, don't just maintain: You'll have the freedom — and the expectation — to automate manual work and design systems that scale.
- Support an elite technical team: You'll keep top engineers and researchers unblocked at a company running one of the world's fastest private supercomputers.
- Series B momentum, real ownership: Meaningful equity at a Series B company that's raised $145M, with proven product-market fit and Fortune 100 traction.

## Why You Might Not Be Excited

- You want a fully built-out IT function with established process for every detail — here, you're defining it.
- You prefer to stay purely hands-on support and aren't interested in scripting or automating the work away.
- You prefer static over dynamic — scope, priorities, and the shape of this role will adapt as we grow. We have real paying customers and a playbook, and we still move at startup speed at Series B scale.

## About Alembic

## Company Overview
- **One-liner**: Alembic provides a real-time Causal AI platform that enables enterprises to measure, simulate, and optimize the true incremental impact of marketing investments on revenue.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Marketing analytics / Enterprise AI / Causal inference software
- **Target customers**: B2B – Fortune 500 enterprises, large B2C brands, and sophisticated marketing organizations
- **Mission or purpose statement**: To make blind, guess-based analysis obsolete by helping global enterprises act with clarity and confidence in the intelligence era.

## Products & Services
- **Alembic Causal AI Platform (3.0)**: A SaaS platform that continuously recomputes large-scale causal graphs across billions of signals (media exposure, pricing, macroeconomics, consumer behavior, operational inputs). Enables real-time budget simulation, marginal ROI analysis, incremental lift measurement, and scenario testing without batch processing.
- **Marketing Measurement & Attribution**: Replaces traditional MMM, MTA, and dashboards with dollar-for-dollar attribution across the full marketing funnel, isolating true causal impact per channel and tactic.
- **Enterprise Intelligence**: Extends causal inference beyond marketing to areas like pricing, sponsorship evaluation, and go-to-market strategy for cross-functional decision-making.

## Market Standing
- **Valuation/Market Cap**: $645 million (as of March 2026, per Techmeme)
- **Key Metric**: Total Funding – $145M Series B led by Prysm Capital and Accenture (March 2026); prior rounds include $16M Series A (WndrCo-led) and $2.6M Seed (KB Partners-led). Total disclosed funding approximately $128M–$145M.
- **Notable Investors/Partners**: Prysm Capital, Accenture, NextEquity, WndrCo, SLW, KB Partners. NVIDIA is the founding enterprise customer and exclusive supercomputing partner (first Causal AI company to secure NVIDIA DGX SuperPOD).
- **Growth Signals**: Headcount grew 76.6% year-over-year (to ~57 employees). Active job postings for engineering and applied AI roles. Multiple Fortune 500 clients (e.g., major airline, B2B tech firm) with measurable pipeline and revenue impact.

## Competitive Advantages
- **Causal AI vs. correlation**: Models cause-and-effect at scale, not just patterns; can simulate downstream impact of strategic decisions in real time.
- **Real-time graph architecture**: Continuously recomputes causal graphs instead of running batch reports, giving live views of incremental revenue drivers.
- **NVIDIA partnership**: Exclusive access to DGX NVL72 supercomputing infrastructure for enterprise decision-making, creating a hardware/software moat.
- **Proven enterprise traction**: Demonstrated pipeline growth of 37% for a Fortune 500 B2B client and precise sponsorship measurement for a major airline.

## Strategic Focus
- **Current priorities and direction for growth**: Expand causal AI applications beyond marketing into broader enterprise intelligence (pricing, operations, strategy). Scale platform adoption with Fortune 500 companies and deepen integrations with NVIDIA’s AI infrastructure. Continue hiring top AI research and engineering talent to advance causal inference capabilities.

## Why Work Here
- **Culture highlights**: Values include “embrace curiosity,” “be data driven,” “build stuff & ship it,” “maintain low egos,” “don’t blame, solve,” “everyone teaches,” and “brevity is strength.” Emphasis on experimentation, cross-department learning, and shipping without overanalysis.
- **Remote/hybrid/office policy**: In-person at San Francisco HQ (all open positions listed as “In Person Full Time”).
- **Notable perks or engineering culture**: Work on frontier Causal AI models with access to NVIDIA DGX SuperPOD. Opportunity to solve complex, high-impact problems for Fortune 500 clients. Flat, low-ego environment with a focus on shipping and data-driven decisions. Active open roles: Research Engineer – Causal AI, Senior Applied AI Engineer, Senior Site Reliability Engineer, Patent Counsel, Senior Field Scientist.

## Sources
1. [Alembic Website – Platform Overview](https://alembic.com/)
2. [Alembic – About Us & Culture](https://alembic.com/company)
3. [Alembic – Careers Page](https://alembic.com/careers)
4. [LinkedIn – Alembic Technologies Company Profile](https://www.linkedin.com/company/getalembic)
5. [Techmeme – Alembic raises $145M Series B at $645M valuation](https://www.techmeme.com/)
6. [Accenture Newsroom – Accenture Invests in Alembic](https://newsroom.accenture.com/)
7. [Alembic – Job Board (Ashby)](https://jobs.ashbyhq.com/alembic)

## Other roles at Alembic

- [Personal Trainer](https://feeny.ai/job/personal-trainer-alembic-san-francisco-5z7ydpcvkh3x) — San Francisco, CA
- [Technical Recruiter](https://feeny.ai/job/technical-recruiter-alembic-san-francisco-4n2tm5wcztb1) — San Francisco, CA
- [Technical Sourcer](https://feeny.ai/job/technical-sourcer-alembic-san-francisco-nn6tpm5b3zch) — San Francisco, CA
- [Senior Network & Site Reliability Engineer](https://feeny.ai/job/senior-network-site-reliability-engineer-alembic-san-francisco-mfdnj1j8nb1n) — San Francisco, CA
- [Patent Counsel](https://feeny.ai/job/patent-counsel-alembic-san-francisco-za6p9s63wmk8) — San Francisco, CA
- [Senior Field Scientist](https://feeny.ai/job/senior-field-scientist-alembic-san-francisco-5rspg70tzw49) — San Francisco, CA
- [Senior Applied AI Engineer](https://feeny.ai/job/senior-applied-ai-engineer-alembic-san-francisco-jh4y886w59at) — San Francisco, CA
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-alembic-san-francisco-dmmytp9nn6x1) — San Francisco, CA
- [Research Engineer - Causal AI](https://feeny.ai/job/research-engineer-causal-ai-alembic-san-francisco-ems0psx1gntj) — San Francisco, CA
- [Corporate IT Engineer](https://feeny.ai/job/corporate-it-engineer-maybern-new-york-4w98dk0gvvp3) — New York, NY