---
title: 'Technical Recruiter at Alembic'
canonical: 'https://feeny.ai/job/technical-recruiter-alembic-san-francisco-4n2tm5wcztb1'
type: 'job'
last_seen: '2026-09-07'
---

# Technical Recruiter at Alembic

- **Company:** Alembic
- **Location:** San Francisco, CA
- **Compensation:** $125k–$160k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-01
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/alembic/b07be0af-029c-407e-9448-5544d963c610

## Job description

## THE CONTEXT

Hi, I'm Logan, and I lead Talent at Alembic. I came to Alembic because the founders believe what I believe: investing in people is how you build the company, not a cost of building it. Done right, that buys three things, in order — a team that demands excellence, work that carries daily personal meaning, and a real shot at generational wealth for the people who build it. I haven't often found all three in one place.

Here's my situation, plainly: we have 20+ funded open roles, 16 of them technical — research engineers implementing causal mathematics in CUDA and C++, SREs running one of the fastest private supercomputers in the world, backend and data engineers scaling a platform that Fortune 100 companies use to make multimillion-dollar decisions. The company just raised a $145M Series B and expects to roughly double in the next year. Right now, the team responsible for all of that hiring is small. You would be the unlock.

I'll tell you how we work, because it's the best predictor of whether you'll want this job. We run structured hiring — scorecards before searches, calibrated loops, feedback in 48 hours — because hiring is too important for gut feel. We treat speed as our advantage against bigger brands: attention, time, and effort are things we can out-invest. Our operating loop is Learn → Build → Share → Repeat, and we publish our work — including the materials we used to write this very listing. And we are AI-native, in the practical sense: we experiment with new tools constantly and expect each other to keep hunting for a better way. If you read that list and felt something click, keep reading.

One more thing worth saying: we wrote our hiring playbook down before we wrote this job ad, and we're sharing it openly here https://app.notion.com/p/tallac/The-Alembic-Talent-Playbook-37dceff5624e80b2942cc3cb5ee3e3e2?source=copy_link.

## 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.)

## THE ROLE

Your mission: own and close our priority technical searches, so that a team of top-decile engineers can keep shipping causal AI for Fortune 100 customers.

You'll carry 6–8 technical searches full-cycle — backend, infrastructure/SRE, and data engineering — partnering directly with engineering leadership. This is a carry-the-searches-yourself role with real authority over how they're run, not a coordination job and not a management job.

Success in the first six months looks like:

- You know the business cold. You can pitch Alembic — causal AI versus correlation, our customers, our infrastructure — credibly to a senior engineer, in your own words.
- You own calibrated scorecards and live pipelines on every search you carry, and hiring managers trust your judgment enough that your push-back changes how searches are run.
- You've closed multiple technical hires at our bar — including candidates who had other offers.
- Searches you run move fast: structured loops, same-week feedback, weeks not months from first screen to offer.

## WHAT WILL HELP YOU SUCCEED

- 5+ years of full-cycle technical recruiting — software, infrastructure, or ML — at companies with a genuinely high bar.
- A closer's track record. You can tell us, specifically, about candidates you won against stronger brands, and how.
- You learn businesses fast and sell them fluently. Recruiting is marketing and sales, and you treat it that way.
- A consultative spine: you push back on hiring teams rather than push weak candidates, and you have the evidence-based arguments to do it well.
- High content-to-word ratio. You speak and write plainly, honestly, and proactively. Zero fluff.
- Urgency and meticulous detail at the same time — you don't trade one for the other.
- Data proficiency: you diagnose your funnels by root cause, not anecdote.
- An AI-native practice: you regularly experiment with new tools and methods, and you're constantly looking for alpha.

THIS ROLE IS PROBABLY NOT FOR YOU IF:

- You need a coordinator, a sourcer, and an ops layer behind you before you can move.
- You measure your work in activity — submittals, screens, calls — rather than hires and quality.
- You're ready to manage a team rather than carry searches personally. (That path can open here; it isn't where this starts.)
- Five days a week in our San Francisco office isn't workable for you. We're in the room with the engineers we hire for, and it matters.
- You see AI tooling as a threat or a gimmick rather than daily practice.

## WHY YOU MIGHT BE EXCITED ABOUT ALEMBIC

- Your work is the company's bottleneck-breaker: 19 funded searches stand between Alembic and its next chapter. Few recruiting seats anywhere have this much concentrated leverage.
- A hiring system worth joining: Structured hiring, scorecards, batch review, real candidate-experience standards — you're inheriting a thoughtful machine and making it better, not cleaning up a mess.
- A story engineers actually want to hear: Causal AI for the Fortune 100, mathematics implemented on a private supercomputer. You'll never have to sell vapor.
- AI-native by design: We'll fund your experiments. The recruiter-as-creator era is here, and this team intends to be evidence of it.
- 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 — and a talent function you'll help build as the org doubles.

## WHY YOU MIGHT NOT BE EXCITED

- We're building the talent function while running it. You'll define process, not inherit it.
- Brevity is strength here — feedback is direct, meetings are short, and writing matters. If you prefer a softer communication culture, this will feel sharp.
- Priorities shift as we grow. We have real paying customers and a playbook, and we still move at startup speed at Series B scale.

## HOW TO APPLY

Take your time with your application. We will review every application after the deadline (Wed July 15, 9:00 PM PT) and speak with a shortlist based on what you submit. There are no prizes for applying first, and no advantage gained by messaging the team — please put your energy into the application itself.

## 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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