Jupiter Power Looking for Full-Cycle Recruiter at San Francisco, CA Full Time

Data Science problems are everywhere, but the talent is not. At Obviously AI, our vision is to turn every company into an AI company. We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. On the back end, we empower data scientists with a set of internal groundbreaking tools to help them deliver results in minutes, not months.

We’re a small, scrappy group of people with a strong bent toward failing fast, bias for action and attention to detail. We’re focused on doing the best work of our lives and believe in having a healthy separation of work and play. We keep working hours flexible and are building a team with the majority of the team located in San Francisco, CA and Bangalore, India.

Obviously AI is backed by some of the top venture capital firms in the US, and you’ll be on the ground floor of a fast-growing company with a big mission.

About You

Are you someone who loves building deep meaningful relationships with people? Do you love helping people succeed in their roles? This is your time to shine.

As a full-cycle recruiter at Obviously AI, you will be on the ground floor of an incredible opportunity to pair your people and communication skills to help build a foundational team for business. The team you build today will be the single most important thing for our success and you will be at the forefront of running every aspect of it. You will handle both pre and post recruiting efforts, including but not limited to: crafting job descriptions, interview process, running interviews, conducting outreach to candidates, ensuring current employees have the right resources to succeed and onboarding new employees.

Our ideal candidate for this role is someone who really wants to get their hands dirty in a small, scrappy team. You should be excited about the idea of taking on different challenges everyday, specially ones where you have to pitch the business to various candidates and get them excited to join. You’ll report directly to the CEO, you’ll be a key proponent of Obviously AI’s early success and have the equity (aka. “skin in the game”) to make it worthwhile.

Here are some other qualities we’re looking for in a perfect hire:

• You are not afraid of failure.
• You can think out of the box and try new things that have never been done before.
• You are a clear and creative thinker with excellent written and verbal communication skills.
• You can creatively articulate complicated concepts in layman terms.
• You are comfortable with finding creative and unconventional ways to source talent.
• You have the analytical skills to build a recruiting strategy, assess team sentiment and propose relevant solutions.
• You love machine learning and data science, and are always up to speed with the latest developments in the space.
• You possess the personality to easily connect and become familiar with new people.
• You work collaboratively but autonomously: asking for what you need, but not expecting micromanagement.
• You like processes and want to help build it, but you’re also OK with the “organized chaos” of a small team.
• You’re excited to build a career at an energetic startup, with an eagerness to learn and develop your skill set across a wide range of activities.
• You’re comfortable communicating new ideas and experimenting without fear of failure.
• You’re able to pick up new skills quickly, and adapt well to feedback on your work.

Responsibilities

• Identify and engage top talent through various channels such as job boards, social media, networking events, and employee referrals.
• Create compelling job descriptions and advertisements to attract candidates that align with our company culture and values.
• Review resumes, conduct initial phone screens, and assess candidate qualifications to ensure a strong match with job requirements.
• Schedule and coordinate interviews with hiring managers and team members, ensuring a seamless and positive candidate experience.
• Evaluate candidates’ technical skills, cultural fit, and potential for long-term success within the team.
• Extend offers to selected candidates and negotiate compensation packages when necessary.
• Collaborate with hiring managers to facilitate the onboarding process for new hires.
• Maintain a talent pipeline of qualified candidates for current and future hiring needs.
• Track and report on recruitment metrics, including time-to-hire and retention rates, and use data to make informed decisions and improve the recruitment process.
• Contribute to the development and execution of employer branding initiatives to attract top talent.
• Collaborate with managers to monitor the performance and integration of new hires, identifying areas where additional support or training may be needed.
• Continuously seek feedback from candidates and hiring teams to improve the overall candidate experience, ensuring a positive and seamless recruitment process.
• Collaborate with HR and department heads to develop strategies for talent retention and career development, fostering long-term relationships with employees.

Requirements

• Bachelor’s degree in Human Resources, Business Administration, or a related field (or equivalent experience).
• 2-4 years of experience as a full cycle recruiter in a fast-paced environment, preferably at a startup.
• Strong understanding of recruiting best practices and employment laws.
• Exceptional communication and interpersonal skills.
• Ability to build and maintain strong candidate and stakeholder relationships.
• Excellent organizational and time-management abilities.
• Tech-savvy with experience using applicant tracking systems and other recruitment tools such as Workable, Angellist/Wellfound, Job Boards, Linkedin Recruiter, etc.
• Deep experience hiring for both technical as well as non-technical roles.
• High level of confidentiality and professionalism.
• Creative thinking and problem-solving skills.

Bonus

• Experience working with small (Series A to Series C) startups.
• Experience working on a data science or AI product.
• Experience working on a self-serve, product-led SaaS product

Benefits

• Health Care Plan
• Paid Time Off (Vacation, Sick & Public Holidays)
• Work Equipment
• Stock Option Plan
• Training & Development