CTGT

Compensation

Full Description

About CTGT At CTGT, we are on a mission to demystify the “black box” of Artificial Intelligence. We believe that for AI to be truly transformative, especially in critical sectors like healthcare and financial services, it must be understandable, reliable, and transparent. Our platform serves as the unifying fabric for enterprise AI, moving beyond fragmented point solutions to provide a consistent and interpretable foundation for AI outputs across an entire organization. Founded by a team of experts in AI interpretability from Stanford, we are a passion project dedicated to building a future where enterprises can trust their AI. Fresh off a $7.5M seed round led by Google and with recent coverage in the Wall Street Journal for our world-class talent, we are poised to define the next generation of enterprise AI. If you are driven to solve one of the most fundamental challenges in technology today, join us. We are hiring a founding full-stack engineer to play a pivotal role in shaping our technical architecture, product direction, and engineering culture from the ground up. You will work directly with the co-founders to translate our vision into a scalable, robust, and elegant platform. This is a very early role, so you will wear lots of hats but will also take on and have ownership and impact, tackling complex challenges at the intersection of distributed systems, cloud architecture, and cutting-edge machine learning. Key Responsibilities Design, develop, and deploy the core backend systems and infrastructure for the CTGT platform Design, build, and maintain highly scalable, reliable, and secure distributed systems capable of handling the demands of high-throughput Manage cloud infrastructure, CI/CD pipelines, and monitoring systems, fostering a culture of automation and operational excellence. Partner with the founding team, product managers, and customers to define the product roadmap and ensure our technical strategy aligns with business goals Act as a cultural cornerstone for the engineering team, helping to attract, interview, and mentor future hires. Position has the opportunity for you to grow and lead teams at scale. Qualifications: 2-3 years of professional software engineering experience, with a proven track record of building, shipping, and maintaining complex backend systems Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, or a related discipline); Master’s or PhD welcomed to apply Proficiency in Python with a deep understanding of systems-level concepts Demonstrable knowledge of distributed systems principles, microservices architecture, API design, and data processing pipelines for enterprise-grade platforms Experience in machine learning, MLOps, and building & deploying ML infrastructure to production highly desired Comfort operating with ambiguity, ownership/bias for action, and wearing multiple hats Prior experience as an early engineer at a venture-backed startup (i.e. Seed - Series B) desired but not required Possess a growth mindset and be intrinsically motivated by learning Preferred Qualifications: A fundamental interest or direct experience in machine learning, MLOps, and the challenges of deploying ML models to production. Familiarity with interpretability tools on ML systems at scale Why You Should Join CTGT Foundational Impact: You will be one of our first engineering hires. Your decisions will help directly shape the product, the technology stack, and the culture for years to come. Solve a Meaningful Problem: Work at the cutting edge of AI, tackling a challenge that is critical for the responsible adoption of technology in society's most important sectors. World-Class Team: Join a small, deeply technical, and passionate team with roots at Stanford and backing from top-tier investors. Ownership and Growth: We offer a competitive salary, significant equity, and the opportunity for professional growth that only an early-stage, high-potential startup can provide. Premium Benefits: Comprehensive health, dental, and vision insurance, and the resources you need to do your best work.