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Baseten currently has 26 active AI-related job listings. The majority of these roles, 69%, are focused on serving infrastructure. The dominant function is Engineering, with 24 roles, and hiring is concentrated in the United States. Frequent tech tags include model serving, inference infrastructure, and LLM observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Baseten posted 3 new AI roles, a 25% decrease compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 22 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $300k.

Hiring
22 / 22
Momentum (4w)
↑+2 +13%
18 opens last 4w · 16 prior 4w
Salary range
$300k
USD · disclosed roles only
Tracked since
Mar '24
last role 6w ago
Hiring velocityscroll left for older weeks
2 new roles
Mar 25
1 new role
Jul 8
1 new role
Sep 9
1 new role
Feb 3
1 new role
Mar 3
1 new role
24
1 new role
Apr 7
1 new role
Jul 14
1 new role
Aug 18
2 new roles
25
1 new role
Sep 1
2 new roles
Oct 6
1 new role
Dec 8
1 new role
Jan 5
1 new role
19
1 new role
26
7 new roles
Feb 23
5 new roles
Mar 2
1 new role
9
6 new roles
16
1 new role
23
3 new roles
30
2 new roles
Apr 6
2 new roles
13
4 new roles
20
4 new roles
27
3 new roles
May 4
6 new roles
11
3 new roles
18
6 new roles
Jun 1
7 new roles
8
1 new role
15
4 new roles
22

Frequently asked questions

  • What AI roles is Baseten hiring for?

    Baseten currently has 26 active AI-related roles in our index. The most common open titles are: AI Solutions Engineer, Applied AI Inference Engineer, Data Engineer, Engineering Manager - Forward Deployed Engineering (LLM), Engineering Manager - Model Performance. Most positions are in Engineering and Research.

  • What stage of AI development does Baseten focus on?

    Baseten's active AI hiring is concentrated in: serving infrastructure (73%), post-training (12%), agents (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Baseten hiring AI talent?

    Baseten is hiring AI talent in: United States (26 roles).

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

    Job postings at Baseten most frequently reference: model serving, inference infra, llm observability, agent orchestration, tool use.

  • How many AI roles has Baseten posted recently?

    In the past 30 days, Baseten has posted 2 new AI-related roles.

Jobs (63)

23 AI · 63 total active
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 3Serve · 19Agent · 2Ship · 1
Function
AllEngineering · 42Product · 19Research · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Account Executive - AI Native: Strategic
Account Executive role at an AI inference platform company, focused on prospecting and closing new business, consulting with customers, and shaping product roadmaps. Requires 4-7 years of SaaS sales experience, with a preference for selling to technical audiences and experience with developer/ML tooling.
—ProductSan Francisco, CAApr '255
Software Engineer - Internal Platform
Software Engineer on the Internal Platform team at Baseten, a company that provides inference infrastructure for AI companies. This role focuses on building internal systems to improve engineering productivity, collaboration, and quality through tooling, workflows, and development environments. Responsibilities include creating diverse tooling, enhancing monorepos, designing shared libraries for observability, improving CI pipelines, managing Terraform modules, and supporting engineering teams.
—EngineeringSan Francisco, CAMar '255
Engineering Manager, Runtime Fabric
Engineering Manager for the Runtime Fabrics team, responsible for purpose-building container runtime and storage layers for AI inference workloads. This involves leading a team of systems engineers, setting technical direction, and contributing to open-source container projects. The role focuses on optimizing container runtimes for AI inference, addressing issues like GPU memory, image pulling times, and multi-tenant isolation.
—EngineeringSan Francisco, CA2w ago0
Strategic Finance Associate / Sr. Associate
This role is for a Strategic Finance Associate/Sr. Associate at an AI infrastructure company. The responsibilities include financial planning, forecasting, budgeting, building financial models, preparing board materials, analyzing metrics, and driving strategic projects. The ideal candidate has 3-4 years of experience in investment banking, VC, PE, or strategic finance, with strong financial modeling and analytical skills. Experience in AI/ML, cloud infrastructure, or SaaS is a plus.
—ProductSan Francisco, CA3w ago0
Data Center Network Engineer
Designs and owns high-performance network infrastructure for GPU clusters, focusing on cluster fabric design, cabling architecture, and performance validation to support AI model training and inference.
—EngineeringSan Francisco, CA5w ago0
GTM Recruiter
Recruiter for an AI infrastructure company, focusing on hiring for the Sales team. This role involves full-cycle recruiting, sourcing, candidate experience, process improvements, and data analysis. Requires 3+ years of recruiting experience, preferably in a startup, with proven success in hiring for Sales teams.
—EngineeringSan Francisco, CA7w ago0
Infrastructure Finance Lead
This role is for an Infrastructure Finance Lead at Baseten, a company that provides inference infrastructure for AI companies. The lead will manage the P&L for compute infrastructure, forecast compute spend, and partner with cloud and GPU providers. The role requires strong financial modeling and operational execution skills, with experience in high-growth infrastructure or platform businesses. While the company operates in the AI space, the role itself is finance-focused and does not involve direct AI/ML development.
—ProductSan Francisco, CAApr 280
Field Operations & Incentives Manager
This role focuses on the operational aspects of a sales organization within an AI company, specifically managing sales compensation plans, territory administration, and rules of engagement. While the company is in the AI space, the role itself is not directly involved in building or researching AI/ML models, but rather in supporting the go-to-market strategy and sales productivity.
—ProductSan Francisco, CAApr 100
People Business Partner, GTM
This role is for a People Business Partner supporting the Go-to-Market organization at Baseten, an AI inference platform company. The role focuses on strategic HR partnership, org design, talent development, and performance management to enable the company's growth. It requires strong business acumen, analytical skills, and experience in high-growth environments.
—ProductSan Francisco, CAMar 40
Senior Compensation Manager
This role is for a Senior Compensation Manager at Baseten, an AI inference platform company. The manager will own company-wide compensation programs, including philosophy, leveling, and equity. Responsibilities include market benchmarking, designing compensation bands, managing new hire offers, leading review cycles, and overseeing bonus and equity programs. Requires 7+ years of compensation experience in tech, with expertise in equity and compensation systems. The role requires strategic advisory and hands-on execution.
—ProductSan Francisco, CAMar 40
Software Engineer - Billing and Internal Tooling
Software Engineer role focused on owning and evolving Baseten's end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting. This involves building and maintaining the billing platform, integrating with systems like Orb, and partnering with Finance, Sales, and GTM teams to create reliable internal tooling and automation. The role also emphasizes driving reliability, operational excellence, and leading high-impact projects within revenue-critical workflows.
—EngineeringSan Francisco, CAFeb 270
Sales Development Representative
Sales Development Representative role focused on building a qualified pipeline by engaging with potential customers through outbound and inbound prospecting via phone, e-mail, and LinkedIn. This role works alongside sales and marketing teams to understand and address customer business needs.
—ProductNew York, NYFeb '250
Engineering Manager, Model Library——San Francisco, CA6w ago—
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