Distyl Inc. logo

Head of Talent Acquisition

Job Overview

Location

San Francisco

Job Type

Full-time

Category

HR & Recruiting

Date Posted

July 16, 2026

Full Job Description

đź“‹ Description

  • • As Head of Talent Acquisition, you will build and lead the function responsible for bringing AI-native talent to Distyl during a period of rapid growth.
  • • Reporting to the Head of People, you will own the strategy, systems, and team that let Distyl scale its headcount without sacrificing hiring quality or speed.
  • • This is a hands-on leadership role based in San Francisco, CA.
  • • You will lead a team of recruiters, sourcers, and coordinators, and build the process rigor, talent brand, and systems that support the company's next stage of growth.
  • • You'll partner closely with hiring managers and executive leadership on headcount planning, and you'll be accountable for the outcomes that matter most: time to fill, quality of hire, and a recruiting engine that keeps pace with the business.
  • • You'll also help Distyl figure out what talent needs to look like as AI reshapes entire categories of work, and extend our hiring reach into new markets as the company expands internationally.

🎯 Requirements

  • • A Builder: You've built talent functions before, not just run ones someone else designed, and you're excited to define what "good" looks like here.
  • • Proven at High-Growth Scale: 8+ years building talent programs and leading recruiting teams, ideally at companies that grew fast enough to outgrow their own process at least once.
  • • AI-Fluent: You use AI tools in your own workflow and can translate that fluency into how a talent program sources, evaluates, and attracts AI-native candidates.
  • • Hands-On With the Stack: You've owned an ATS and evaluated new sourcing and AI tools yourself, not just read reports about them.
  • • Comfortable With Senior Searches: You've personally led executive or highly specialized hiring, in addition to high-volume standard roles.
  • • Experienced Across Borders: You've hired in multiple countries and helped a company open new markets, and you understand how hiring practices, comp, and compliance shift by geography.
  • • A Pulse on What's Emerging: You track how new roles and titles are forming across the AI industry, and can turn a fuzzy, not-yet-defined need into a real job description and leveling framework.
  • • A Genuine Coach: You know how to bring a growing team up to speed quickly, with patience alongside pace, and you invest in people's development as much as their output.

🏖️ Benefits

  • • The base salary range for this role is $180,000–$220,000, depending on experience and level.
  • • In addition to base compensation, this role is eligible for meaningful equity.
  • • 100% coverage of medical, dental, and vision insurance for employee and dependents.
  • • Flexible time off.
  • • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources.
  • • Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot.
  • • Complimentary in-office lunches and snacks provided.
  • • Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems.
  • • Ownership of high-impact projects across top enterprises.
  • • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence.

Skills & Technologies

Design
Hybrid
$180k-220k

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About Distyl Inc.

Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.

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