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AlphaSense

Staff AI Platform Engineer

AlphaSense · San Francisco, California, United States

Posted about 3 months ago

or apply directly on AlphaSense's site. We never take the application ourselves.

Is this posting real?

This role has been open
87 days
AlphaSense's roles stay open a median of 87 days
Reposted
No
Salary listed
No
0% of AlphaSense's roles list one
Ghost-job risk at AlphaSense
high
230 stale, 7 reposted of 230 open
Hiring momentum
328 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from AlphaSense's own greenhouse board since 2026-08-03. Full hiring picture for AlphaSense.

About this role

As a Staff AI Platform Engineer at AlphaSense, you will lead the transformation of AI-powered systems, focusing on building and operating distributed systems at scale. Your role involves designing reliable architectures, establishing engineering excellence through testing and observability, and mentoring a team of engineers. You will also collaborate with ML engineers to integrate cutting-edge AI capabilities into the platform.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AlphaSense as an employer.

What you need

  • 7+ years building and operating distributed systems in production
  • Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
  • Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
  • Experience leading technical initiatives and mentoring engineering teams
  • Strong coding skills with ability to work across the stack
  • Excellence in debugging production issues and implementing comprehensive observability

Nice to have

  • Experience with LLM applications, agent frameworks, or AI/ML infrastructure
  • Familiarity with prompt engineering, RAG patterns, vector databases
  • Background at high-growth companies or modern engineering cultures
  • Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

What you get

  • Equity
  • Generous benefits program

Worth weighing

  • No specific mention of remote work options
  • Salary range provided but final offer may vary based on experience
  • Focus on mentoring and team elevation may require strong leadership skills

Summarised from AlphaSense's posting. Read the full original.

Listed by AlphaSense on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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