GTM Recruiter at Baseten

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, TechnologyIndustries

Requirements

3+ years of experience in full-cycle recruiting, preferably in a fast-paced startup environment
Proven success hiring for non-technical roles such as marketing, sales, customer success, or operations
Exceptional organizational skills and the ability to manage multiple searches and projects simultaneously
Strong written and verbal communication skills, with a focus on delivering a great candidate experience
Experience with applicant tracking systems (e.g., Ashby, Lever) and sourcing tools (e.g., LinkedIn Recruiter)
Passion for building inclusive hiring processes and contributing to a strong company culture

Responsibilities

Full-cycle recruiting: Own the recruiting process from role kickoff through offer acceptance for non-technical roles such as marketing, sales, operations, and customer success
Candidate experience: Ensure a seamless and positive experience for every candidate, with clear communication and timely updates throughout the process
Sourcing strategies: Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools, platforms, and creative outreach
Employer branding: Partner with the marketing team to create compelling content that showcases Baseten’s culture and positions us as a top employer in the ML space
Hiring process improvements: Identify opportunities to streamline and optimize recruiting processes for efficiency and scalability while maintaining high-quality standards
Data-driven recruiting: Track and analyze recruiting metrics (e.g., time-to-fill, offer acceptance rates) to inform hiring strategies and provide actionable insights to stakeholders
Diversity, equity, and inclusion: Build and promote inclusive hiring practices that attract and retain diverse talent across all non-technical teams

Skills

Key technologies and capabilities for this role

Full-cycle RecruitingCandidate SourcingTalent PipelinesCandidate ExperienceRecruiting StrategiesNon-technical RecruitingMarketing RecruitingSales RecruitingOperations RecruitingCustomer Success Recruiting

Questions & Answers

Common questions about this position

What is the salary for the GTM Recruiter position?

This information is not specified in the job description.

Is this a remote position or is there a required location?

This information is not specified in the job description.

What experience is required for this recruiter role?

Candidates need 3+ years of experience in full-cycle recruiting, preferably in a fast-paced startup environment, with proven success hiring for non-technical roles such as marketing, sales, customer success, or operations, and exceptional organizational skills.

What is the company culture like at Baseten?

Baseten has a dynamic team focused on revolutionizing AI deployment, tackling impactful challenges, and building transformative solutions, with an emphasis on attracting top talent and promoting diversity, equity, and inclusion.

What makes a strong candidate for this GTM Recruiter role?

A strong candidate will have 3+ years of full-cycle recruiting experience in startups, proven success in hiring for non-technical roles like marketing and sales, and exceptional organizational skills to manage multiple searches.

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$58.4MTotal Funding

SERIES_BCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.

🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.

🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.

🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.

🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.

📈 401(k): Company-sponsored 401(k) for you to contribute to.

🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.

Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.

Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.

Truss, an open-source model packaging framework, allows seamless deployment of custom models.

Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.

$40M Series B funding enhances Baseten's platform capabilities and market reach.

Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

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