---
title: 'Technical Writer at Alembic'
canonical: 'https://feeny.ai/job/technical-writer-alembic-san-francisco-v7tzqn6jk06a'
type: 'job'
last_seen: '2026-11-09'
---

# Technical Writer at Alembic

- **Company:** Alembic
- **Location:** San Francisco, CA
- **Compensation:** $162k–$182k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/alembic/3b239ee2-cf6d-4bea-867e-24e89e8505b0

## Job description

## 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. (We've melted GPUs getting here.)

## About the Role

We're hiring a Technical Writer to build the single source of truth for Alembic's science. Our founder and CEO, the inventor behind our core technology, and our Chief Science Officer have produced years of research notes, testing and verification programs, and technical analyses. That work is spread across dozens of documents, and the links between them mostly live in their heads. You'll organize it into a verified, connected knowledge base the whole company can query and trust, run the internal peer review that every external technical claim passes through, and turn the strongest material into white papers and a technical blog. We'll measure success by how much easier it becomes to find and trust what we know: fewer documents, each one canonical, sourced, and current. This role is onsite in San Francisco and reports to our Chief Science Officer, working day to day with our CEO and closely with Product, Engineering, and Customer Success.

## What You'll Do

- Inventory our existing research and technical documents, map how they relate, and decide what is canonical, what is superseded, and what is missing.
- Build and maintain Alembic's internal knowledge base in Google Workspace, including an AI layer (Gemini and NotebookLM) grounded in curated sources, so answers come back with citations to the documents behind them.
- Run internal peer review for external technical content and LLM-assisted drafts: trace each claim to a source, flag what can't be traced, and route open questions to the right scientist.
- Assess the external research we build on: summarize each paper's claims, known critiques, and open debates, and how our position holds up against them.
- Launch and run Alembic's technical publishing, including blog posts, white papers, and articles drawn from existing material and cleared through review.
- Extend the knowledge base into customer-facing documentation and training materials with Product and Customer Success.

What Will Help You Succeed

- 4+ years writing or editing technical or scientific material professionally, ideally in AI, data, research, or another field where accuracy gets checked.
- Quantitative literacy: you can read a machine learning, statistics, or physics paper, explain its assumptions, and say where it is weakest.
- Experience building a knowledge base, wiki, or documentation system out of scattered material, including taxonomy, naming, and upkeep.
- Fluency with LLM tools, paired with the discipline to verify every claim they produce against a source.
- The confidence to question a founder or scientist when a claim isn't supported, and the tact to keep that conversation productive.
- Experience with an editorial or peer-review process (journal, research organization, medical or regulatory writing, or a docs team with formal review).
- Published technical writing such as white papers, technical blog posts, or long-form articles.
- Comfort with diagrams, process flows, Markdown, and docs-as-code tools; Python or scripting is a plus.
- Familiarity with causal inference, experimentation, or marketing measurement is a plus.

The role is right for you if:

- You've taken a scientist's scattered work and made it usable by an entire company, and you want to do that alongside the inventor of the technology.
- You care more about whether a sentence is true than about how many sentences you shipped this week.

## Why You Might Be Excited About Alembic

- In the room with the inventor: You'll work directly with our founder and CEO and our Chief Science Officer on next-generation attribution models grounded in mathematical physics.
- Build the foundation: You'll define how Alembic stores, reviews, and publishes what it knows, from the knowledge architecture and review standard to the technical blog.
- A science story with proof behind it: Causal AI running on our own NVIDIA DGX SuperPOD on Grace Blackwell infrastructure, one of the fastest private supercomputers in the world.
- Accuracy that matters: Fortune 100 companies including Nvidia, Delta Air Lines, and Mars make multimillion-dollar decisions on this work.
- 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 measure your output in pages published. Here, merging three overlapping documents into one may be your best work of the week.
- You want a finished style guide, toolchain, and review process on day one. You'll build them.
- You prefer writing from finished specs to sitting with a scientist, interrogating rough notes, and pushing back when a claim isn't supported.

## 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)

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