Senior Data Engineer for Pinpoint Predictive
Pinpoint Predictive is a VC and Stanford StartX-funded company that is actively seeking an experienced and
self-motivated Senior Data Engineer to join our core team. This role represents a unique, ground-floor
opportunity to make your mark on our platform and company.
You are a passionate backend data engineer who can design highly scalable and reliable data pipelines to
consume, integrate, and analyze large volumes of data from different sources to support the fast-changing
needs of our business. You’re able to work closely with colleagues in engineering, data science, product,
management, and advisors, but also able to work independently. You’re interested in human psychology, and
in what truly motivates individual differences in behavior in the digital world and beyond. If this is you, then
this is an opportunity that you can’t miss:
Pinpoint Predictive has brought to market the first privacy-safe and commercial applications of Psychometric
AI-powered targeting and analytics. Our ThinkalikeTM rankings are able to significantly outperform lookalike
audiences in several ways on important platforms. We are working with a range of paying customers,
including Fortune 500 accounts.
Pinpoint is uniquely situated to disrupt people predictions with Psychometric AI, first in marketing
personalization, and later across several other important sectors of the economy, including financial services.
Bringing to market a first scalable, scientific standard in people data will also disrupt the way that people
predictions are made across countries.
Pinpoint was founded by an internationally recognized expert in heritable psychometric traits, and has
attracted strong talent in big-data psychometrics, engineering, data science, product, operations, and
finance. This opportunity is now, and we’ve got a competitive compensation package of cash + equity +
Provide guidance on system architecture, code structure and quality, technical debt, and testing. Work
with engineering management to institute processes where appropriate.
Work closely with, and in support of, the Data Science team. Demonstrate strong implementation
aptitude to translate requirements into a scalable solution to meet the needs of the company and our
clients, while meeting deadlines.
Build tools to allow internal and external teams to visualize and extract insights from big-data platforms.