Company Size - 25 People
Approx Funding - $30M
Company Stage - Series A
Backed by: Databricks Ventures, Bain Capital Ventures, Menlo Ventures
Industry - AI, ML, Databases, DCAI
Founding year - 2021
Tech Stack/Technologies: React, JavaScript, Python, Flask, data processing/data science/ML frameworks, Postgres, Docker/Kubernetes, and many AWS services.
Engineer a data platform and work on cutting-edge MLOps with guidance from MIT PhDs with top tech experience.
Pioneer novel software systems for the rapidly growing field of data-centric AI. The platform has several tools that automatically find & fix issues in datasets.
Work with the latest tooling and ML models at a dynamic startup.
Provide technical input on designing, implementing, and maintaining the cloud infrastructure relating to data access, security and privacy, data processing, storage, and serving.
Keep updated with the latest cloud technologies and offerings and how they relate to open-source alternatives to improve our infrastructure continuously. You will guide us on when to buy cloud services.
Design and implement security best practices and data protection and compliance processes.
Collaborate across the team and with clients to create the best cloud-based solutions for current and future customers.
A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university.
8+ years of professional software engineering & architecting data solutions experience in product-focused, fast-paced environments.
Deep understanding of open-source libraries, frameworks, and systems combined with experience deciding when to build from scratch vs use existing solutions.
Solid understanding of current and future cloud offerings.
Experience building significant backend distributed systems.
Experience running production code in cloud environments, solving problems at scale, primarily in AWS.
Previous early-stage employee or founder experience at a venture-backed tech company is strongly preferred.
Desire and ability to learn quickly, take professional initiative, and work in a fast-paced environment.
Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors.
Comprehensive benefits include premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more.
Unique travel allowance.
Unprecedented career progression opportunities.
The opportunity to work with brilliant founders, solving some of the most complex data problems in the world.
Compensation:
$140,000 - $200,005 a year
Compensation is salary + meaningful equity in an early stage venture backed startup commensurate with experience.