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NYC AI careers guide · Roles refreshed August 13, 2026

AlphaSense careers: 230 open roles right now

The $7.5B market-intelligence platform crossed $600M in annual recurring revenue this year — and carries one of the largest open-role counts in New York AI. 37 of the current openings are in New York. Roles below are pulled daily from AlphaSense’s own job board; every link goes to their application page, not ours.

What you’d be joining

AlphaSense is the AI search engine for the professional research world: filings, transcripts, broker research, and expert calls, indexed and summarized for the analysts and executives who make decisions on them. It crossed $600M ARR in early 2026 and raised $350M at a $7.5B valuation in June 2026, with Accenture and J.P. Morgan among the strategic investors — a signal of how deeply it sits inside enterprise research workflows.

Engineering here is applied AI at enterprise scale: retrieval and summarization over one of the largest curated financial-content corpora anywhere, plus the platform and security work that Fortune-500 deployment demands. It is a fit for engineers who want LLM systems with demanding accuracy bars — a hallucinated number in an analyst’s workflow is a fireable product failure, and the engineering culture reflects that.

Headquarters: 441 Ninth Ave, Hudson Yards — see it on the NYC AI map. Founded 2011; 2,500+ employees; valuation $7.5B and $600M+ ARR as of June 2026, per AlphaSense’s own announcement.

Open roles at AlphaSense

Fetched August 13, 2026 from AlphaSense’s public job board — engineering and New York roles ranked first.

All 230 roles on AlphaSense’s careers page →

What it pays

AlphaSensedoesn’t publish salary bands for most roles, so calibrate against the market it hires in: US AI and ML engineers run roughly $150k–220k base at mid-level and $220k–300k senior, and New York offers typically land 15–25% above those national bands — before equity, which at a company of AlphaSense’s stage is a real part of the conversation. AlphaSense hires across New York and several global hubs; its enterprise-SaaS scale makes compensation more structured — expect defined bands and levels rather than startup-style negotiation.

Full breakdowns by role and seniority: the AI engineer salary guide and the NYC-specific numbers.

How to stand out

We vet AI engineers for a living, and companies hiring at AlphaSense’s level screen for the same signals we do: production ownership (a system running today, and what broke first), evaluation discipline (how you knew it worked before users did), and cost awareness (what it cost to run, and what you did about it). Polished side-projects lose to one honest production story every time.

The differentiating experience here is retrieval quality at scale: evaluation harnesses for RAG systems, precision/recall trade-offs on messy documents, and stories about catching model errors before customers did. Finance-domain fluency helps but engineering rigor on grounded generation matters more. Usefully, AlphaSense publishes its five-stage process on its careers page — application review, recruiter call, hiring-manager interview, a technical assessment it describes as “focused, practical, and respectful of your time,” then team and leadership conversations.

Full preparation guide: the AI engineer interview questions companies actually ask.

Or let companies come to you

AlphaSense is one of a hundred NYC AI companies competing for the same engineers. Join our vetted network and get matched with scoped contract work and placements across the ecosystem — including roles that never hit a public board.

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Frequently asked questions

How many jobs does AlphaSense have open?+

AlphaSense typically carries one of the largest open-role counts in New York AI — over 200 at recent refreshes of the live list on this page, spanning engineering, product, sales, and research operations across its global offices.

Is AlphaSense a good company for AI engineers?+

If you want production LLM systems with a hard accuracy bar, yes — the product is retrieval and summarization that financial professionals bet decisions on, which makes evaluation discipline a first-class engineering concern rather than an afterthought. It is enterprise SaaS, so expect more process than a seed-stage lab and correspondingly more scale.

What does AlphaSense pay?+

No comprehensive public bands. Market context: US AI/ML engineers run $150k–220k mid-level and $220k–300k senior base, NYC 15–25% above — and at $600M+ ARR AlphaSense compensates like a late-stage enterprise company: structured bands, meaningful equity, less variance than younger startups.

Where is AlphaSense based?+

Headquarters are in New York City, with significant offices across the US, Europe, and India. A large share of engineering roles are NYC-based or US-remote; each listing in the live list above shows its location.

Neuronify is not affiliated with AlphaSense. Role data comes from AlphaSense’s public job-board API and refreshes roughly daily; apply through their official pages linked above. Company figures are sourced and dated in our NYC AI 100 research.

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