Technical Sourcer

About AiDash

AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.

We are a Series C climate tech startup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.

Join us in creating a greener, cleaner, and safer planet from space!

The Role

The Talent Acquisition team at AiDash is dedicated to identifying, attracting and hiring world-class talent that contributes to creating a greener, cleaner, and safer planet. We are looking for a Technical Sourcer for a 6-month contract, with a strong potential for conversion to a full-time position based on business need and performance, to join our talent acquisition team in the US.

In this role, you will be instrumental in building and scaling our data science and engineering teams. If you are enthusiastic about driving rapid growth and innovation in the climate tech sector, skilled at identifying and nurturing untapped talent, and committed to providing an exceptional candidate and hiring manager experience, we would love to connect!

How you'll make an impact:

• Drive top-of-funnel recruitment efforts by attracting, sourcing, and screening candidates for data science, application engineering, data engineering, and ML platform engineering roles
• Collaborate closely with hiring managers and the recruitment team to understand specific talent needs, role requirements, and the broader vision for the R&D organization
• Develop and implement data-driven sourcing strategies to attract both active and passive candidates, and nurture and maintain a robust candidate pipeline for current and future hiring needs
• Utilize diverse platforms including Google Scholar, LinkedIn Recruiter, GitHub, Stack Overflow, social media, networking events, and industry-specific channels to identify and engage potential candidates
• Champion AiDash's employer brand across internal and external platforms, and contribute to employer branding initiatives
• Continuously optimize recruitment processes to ensure an outstanding experience for both candidates and interviewers
• Provide regular reports on key top-of-funnel metrics, including outreach performance, response rates, and pass-through rates

What we're looking for:

• Minimum of 5 years of experience in technical sourcing, with a proven track record of hiring principal, staff and senior-level data scientists, application engineers, data platform engineers, and ML platform engineers in a startup or high growth environment
• Proficiency in using sourcing tools like LinkedIn Recruiter, Google Scholar, GitHub, Boolean, and X-ray searches
• Strong understanding of computer vision, AI/ML, and data science technologies
• Demonstrated experience in leveraging data and metrics to optimize sourcing strategies, including the ability to track, analyze, and report on key performance indicators such as candidate response rates, pipeline quality, and time-to-fill for technical roles
• Excellent communication, relationship-building, and influencing skills, with a collaborative mindset and ability to work independently
• Experience in climatetech, remote sensing, geospatial or related fields, including hiring domain experts such as Meteorologists, Climatologists and Arborists, is highly desirable
• Passion for technology, and staying current with industry trends and best practices in talent acquisition, particularly within climate tech and AI/ML sectors

Location: US Remote or Palo Alto, CA. We operate as a hybrid company, with twice a week in-office days in our Palo Alto office location.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.