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Anthropic

anthropic.comadded 2026-09-02
Investor roster shifted from Lightspeed-led to a broad late-stage syndicate (ICONIQ, Fidelity, Sequoia, Altimeter, Dragoneer, Greenoaks) — strong consensus bet on the category● Hiring

Worth-Joining Index · Scorecard

v2.1 ALPHA · 2026-08

Career Score

74/100

Coverage

76%

Verified

40%

Stage cohort

Late

Vibe Check

🎪 community voting coming soon

Momentum
4/4
Efficiency
10.5/12
Backing
8/8
Market
8.8/11
Product
8.8/11
Upside
5.5/16

Latest valuation

$965B-money (Series H, 2026-05)

Series F · 2025-09

ARR

~$47B ARR run-rate

Total raised

$65B raised in Series H (2026-05); cumulative total higher across prior rounds

as of 2026-05
大模型AI安全开发者工具Founded · 2021Stage · Late Stage (Series H)HQ · San Francisco

Traction · Key numbers

ARR~$1B (early 2025) → >$5B (Aug 2025) → ~$47B (May 2026) Company-claimedas of 2026-05
Valuation pace$61.5B (Mar 2025) → $183B (Sep 2025) → $965B (May 2026), ~16x in 14 months Publicly verifiableas of 2026-05
Total raised$65B raised in Series H alone Company-claimedas of 2026-05
ARR~$47B ARR run-rate (2026-05)Company's own announcement of run-rate revenue at time of Series H raise Publicly verifiableas of 2026-05

Funding

Total raised

$65B raised in Series H (2026-05); cumulative total higher across prior rounds

Rounds

2

Valuation pace

$61.5B to $965B in 14 months

F

$13B

Series F · 2025-09 · valuation $965B post-money (Series H, 2026-05) · led by Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital

With: Coatue, GIC, BlackRock, Blackstone, Qatar Investment Authority · Valuation roughly tripled in 8 months as run-rate revenue grew from ~$1B to $5B+ over the same period

E

$3.5B

Series E · 2025-03 · valuation $61.5B post · led by Lightspeed Venture Partners

Investor roster shifted from Lightspeed-led to a broad late-stage syndicate (ICONIQ, Fidelity, Sequoia, Altimeter, Dragoneer, Greenoaks) — strong consensus bet on the category

Valuation roughly doubled every ~6 months over 14 months ($61.5B→$183B→$965B), but that pace bakes in an extreme dependency on revenue continuing to double

Founders

Dario Amodei CEO

Former VP of Research at OpenAI

Daniela Amodei President

Former VP of Safety & Policy at OpenAI

Jared Kaplan Chief Science Officer

Former OpenAI researcher

Jack Clark Co-founder

Former OpenAI policy lead

Chris Olah Interpretability Research Lead

Former OpenAI interpretability researcher

Sam McCandlish Chief Architect

Former OpenAI researcher

Reality · Working here

H1B / PERMUnknown
Remote policyHybrid: staff expected in a company office at least 25% of the time; a small share of roles (mostly senior engineering) are remote-friendlyThird-party analysis, not an official Anthropic statement; careers page itself did not state an explicit percentage~ 3rd-party estimateas of 2026-08
Comp modelUnknown
GlassdoorUnknown — work here? Help us fill this in →
Equity liquidityUnknown
Hiring statusCareers page lists ~600+ open roles across 18 departments in 20+ cities (SF, NYC, London, Toronto, Tokyo, etc.), with Sales, Security and Engineering expanding fastest Company-claimedas of 2026-09

Signals & Risks

CompetitorsOpenAIGoogle DeepMindxAI
ValuationValuation tripled within roughly six months, heavily dependent on continued revenue doubling — a slowdown would create major repricing pressure
CompetitionFaces direct competition from OpenAI, Google DeepMind and others for model capability and enterprise customers
Key personFounding team is largely ex-OpenAI core researchers; departure of key members could affect research cadence

Editorial ✎

Good fit for

· Top researchers/engineers who want to bet on both frontier capability and safety/alignment research at once

· People who value mission alongside intensity, in exchange for outsized influence and equity upside

· Infra/distributed-systems talent — the company is still scaling training and serving capacity aggressively

Not for

· Anyone prioritizing work-life balance or unwilling to accept the hybrid in-office expectations and pace

· Candidates uncomfortable with a valuation narrative this steep, who'd prefer a steadier, more predictable growth curve

Ask in the interview

1. If revenue growth slows from doubling to ~50%, how does the burn/hiring plan adjust?

2. With OpenAI and Google DeepMind both pushing hard into enterprise, what specifically is Anthropic's durable moat?

3. What's retention like on the core research team (many ex-OpenAI), and how are long-term incentives structured?

Data changelog

Community corrections → editorial review → applied, fully on the record

2026-09-02
Remote 政策 filled in as Hybrid: staff expected in a company office at least 25% of the time; a small share of roles (mostly senior engineering) are remote-friendly

data as of 2026-08 · Source: jobsbyculture.com analysis of Anthropic careers page and coverage

~ 3rd-party estimate
2026-09-02
累计融资额 filled in as $65B raised in Series H (2026-05); cumulative total higher across prior rounds

data as of 2026-05 · Source: Anthropic press release (Series H)

Publicly verifiable
2026-09-02
最近一轮领投机构 filled in as Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital

data as of 2026-05 · Source: Anthropic press release (Series H)

Publicly verifiable
2026-09-02
最近一轮估值 filled in as $965B post-money (Series H, 2026-05)

data as of 2026-05 · Source: Anthropic press release (Series H)

Publicly verifiable
2026-09-02
ARR / 年化收入 filled in as ~$47B ARR run-rate (2026-05)

data as of 2026-05 · Source: Anthropic press release (Series H)

Publicly verifiable
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