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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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Currently tracking 1 active AI role, down 21% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $194k–$238k (avg $216k).

Hiring
1 / 1
Momentum (4w)
↓-6 -21%
23 opens last 4w · 29 prior 4w
Salary range · avg $216k
$194k–$238k
USD · disclosed roles only
Tracked since
Sep '25
last role 3w ago
Hiring velocityscroll left for older weeks
1 new role
Nov 18
1 new role
Sep 1
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15
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29
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Oct 13
1 new role
Nov 3
1 new role
Dec 22
1 new role
Jan 5
2 new roles
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26
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1 new role
23
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Mar 2
2 new roles
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6 new roles
16
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23
5 new roles
30
4 new roles
Apr 6
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7 new roles
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8 new roles
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Jun 1
1 new role
8
Peloton

Peloton

Consumer · Connected fitness

HQ
New York City, US
Founded
2012
Website
onepeloton.com

Frequently asked questions

  • What AI roles is Peloton hiring for?

    Peloton currently has 2 active AI-related roles in our index. The most common open titles are: Localisation Project Manager, Staff Enterprise AI Engineer. Most positions are in Product and Engineering.

  • What stage of AI development does Peloton focus on?

    Peloton's active AI hiring is concentrated in: application (50%), agents (50%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Peloton hiring AI talent?

    Peloton is hiring AI talent in: United States (1 role).

  • What technologies does Peloton's AI team work with?

    Job postings at Peloton most frequently reference: evals, multimodal, agent orchestration, rag, vector db.

  • How many AI roles has Peloton posted recently?

    In the past 30 days, Peloton has posted 1 new AI-related role.

Jobs (1)

1 AI · 54 total active
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Active onlyAI only (≥ 7)
Stage
AllAgent · 1Ship · 1
Function
AllProduct · 25Engineering · 23
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Staff Enterprise AI Engineer
Staff Enterprise AI Engineer to architect and build the 'Operating System' for deploying AI Agents safely and at scale within Peloton's enterprise tech strategy. This role involves building an Agentic Orchestration Platform, integrating with internal APIs, managing memory stores, enforcing security, deploying EvalOps, defining engineering standards, and optimizing inference costs. It requires a strong software engineering background with experience in MLOps, LLM Orchestration, distributed systems, Python, Go, Kubernetes, and security principles.
AgentServeEngineeringHeadquarters, NYSep '258