Alembic

Alembic

Technical Sourcer

San Francisco HQ · Mid

Sponsorship not specifiedDetected 114 days ago
C++AlgorithmsGitRESTRecruitingResearchCommunication

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 40 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You've mapped the market for our research-engineer search - across labs, HPC, quant, and PhD-exit channels - and turned it into living pipeline, validated with hiring managers.
  • Personalized, content-led campaigns that prospects actually answer - and that turn into screens, not just replies.
  • Hires are landing that began as your sourced candidates.

Responsibilities

  • You prioritize your own workload without supervision.
  • Your mission: build and qualify pipelines for our hardest technical searches, so that every priority role carries a healthy top-of-funnel of closable, calibrated candidates.
  • A data-driven practice: you optimize your own funnel by root cause and can walk us through a time you diagnosed and fixed one.
  • AI-native by design: We'll fund your tooling experiments - semantic search, enrichment, automation. The recruiter-as-creator era is here, and this team intends to be evidence of it.
  • Define what great looks like: You're our first dedicated sourcer. The channels, pools, and playbooks you build become how Alembic sources - and a clear growth path opens as the function scales.
  • We're building the talent function while running it.

Requirements

  • Searches with real degree-of-difficulty:
  • Searches with real degree-of-difficulty: CUDA/C++ research engineers, supercomputer SREs, data-platform builders.

Nice to have

  • Your sourcing is LinkedIn Recruiter plus saved Boolean strings, full stop.
  • Volume sequences are your strategy - you can't personalize at quality, or don't want to.
  • You need requisitions pre-qualified and target profiles handed down before you can start.
  • You see sourcing as something to escape rather than a craft to master first. (This seat can grow into full-cycle recruiting as we scale - but it starts with wanting to be great at this.)
  • Five days a week in our San Francisco office isn't workable for you.
  • The calibration conversations that make sourcing precise happen in the room.

Skills

  • The people who can do this work are engineers who went and got a PhD, or PhDs who then engineered for years.
  • They are not on the first page of any LinkedIn search.
  • They're in labs, HPC groups, quant shops, and PhD-exit communities, and most of them aren't looking.
  • Finding and genuinely engaging them is a research problem, a writing problem, and a craft problem all at once.
  • The wider context:
  • a $145M Series B, a company expecting to roughly double in the next year, and a hiring plan that's mostly technical.
  • Sourcing is the bottleneck on the hardest of those searches, which makes this seat one of the highest-leverage in the company.
  • How we work, briefly:

Benefits

  • 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.

Company info

  • 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.)
  • 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.)
  • Priorities shift as we grow. We have real paying customers and a playbook, and we still move at startup speed at Series B scale.
  • We have real paying customers and a playbook, and we still move at startup speed at Series B scale.
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This listing is sourced directly from Alembic's careers page and normalized into a canonical job model.