Logo of Huzzle

Home

Matches

Explore

Manage

Technical Recruiter

image

Scale AI

1mo ago

  • Job
    Full-time
    Mid Level
  • Software Engineering
    People, HR & Administration
  • New York
  • Quick Apply

AI generated summary

  • You must have 4+ years in tech recruiting, strong communication skills, expertise in AI, a solutions-oriented mindset, and the ability to manage stakeholders in a fast-paced environment.
  • You will manage full-cycle recruitment, build relationships with stakeholders, define job requirements, foster candidate trust, drive diversity, and educate teams on interview practices.

Requirements

  • 4+ years of full lifecycle technical recruiting experience at high growth tech start-ups.
  • Ability to use data, both quantitative and qualitative, to influence hiring managers and leaders
  • Ability to distill complex information into a consumable and organized format with a focus on content, tone and structure
  • Excellent verbal and written communication skills
  • Excellent negotiation tactics, and market knowledge
  • Experience managing complex technical roles
  • Effective organization and stakeholder management of Engineering Managers+
  • Located in the Bay Area, can commute 3x per week to the San Francisco office.
  • Deep knowledge of AI technologies and trends
  • Strong understanding of technical roles, skills, and requirements in the AI field
  • Solutions oriented mindset
  • Examples of strong stakeholder partnerships
  • Ability to thrive in a fast-paced, dynamic startup environment
  • Experience with market research and competitive intelligence

Responsibilities

  • Build a deep understanding of our business and culture in order to provide strategic thought partnership to teams that you support.
  • Drive and lead the full-lifecycle recruitment process from initial reach out to offer to close.
  • Develop relationships with your key stakeholders to ensure success in your role; including cross-functional partners
  • Leverage your recruiting metrics to inform your activity needs, which you'll interpret and present to hiring managers
  • Work closely with hiring teams across business and tech defining job descriptions, requirements, and interview processes.
  • Collaborate with recruiting coordinators, recruiters, and hiring partners to build a transparent interview experience.
  • Foster trust-based relationships with candidates, gaining a close understanding of their requirements and concerns.
  • Serve as a skilled problem solver, facilitator and coach in final negotiations.
  • Help ensure we build inclusive and diverse teams as we grow.
  • Influence and educate hiring teams on interviewing best practices.
  • Take full ownership of sourcing passive leads for your pipelines as needed.
  • Work from the San Francisco office 3x per week

FAQs

What is the main responsibility of the Technical Recruiter at Scale AI?

The main responsibility of the Technical Recruiter at Scale AI is to drive and lead the full-lifecycle recruitment process, from initial outreach to offer close, while building relationships with stakeholders and fostering trust with candidates.

How many years of experience are required for this position?

The position requires a minimum of 4 years of full lifecycle technical recruiting experience at high growth tech start-ups.

What is the location requirement for this role?

The role requires the recruiter to work from the San Francisco office 3 times per week.

Are there any specific skills or knowledge preferred for this position?

Ideally, candidates should have deep knowledge of AI technologies and trends, a strong understanding of technical roles in the AI field, and a solutions-oriented mindset.

What type of compensation package can be expected for this role?

Compensation packages for this role include a base salary ranging from $160,000 to $190,000 USD, equity, and benefits such as comprehensive health coverage, retirement benefits, and a generous PTO policy.

Is there an emphasis on diversity and inclusion in the hiring process?

Yes, there is a focus on building inclusive and diverse teams as the company grows, and Scale AI is committed to equal employment opportunity regardless of various demographic factors.

Does the company provide support for applicants with disabilities?

Yes, Scale AI is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

How does Scale AI incorporate data in the recruiting process?

The Technical Recruiter is expected to leverage recruiting metrics, both quantitative and qualitative, to influence hiring managers and inform recruitment strategies.

Can candidates reapply for the same role after being rejected?

No, candidates must wait for a 90-day period before being reconsidered for the same role to ensure a fair evaluation process.

What is the team's focus in the hiring process?

The Data Engine technical recruiting team is focused on hiring Software Engineers with full-stack capabilities across various levels while supporting Scale's highest hiring priorities.

image

Scale AI

The Data Platform for AI: High quality training and validation data for AI applications.

Technology
Industry
201-500
Employees
2016
Founded Year

Mission & Purpose

At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment. Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.