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Founded in July 2023, Valid is a seed-stage company operating at Series A scale, headquartered in San Francisco.

In under two years, we’ve grown from 5 people to 30+, deployed tens of millions of dollars in ad spend, and built a full-stack, tech-enabled advertising company serving enterprise consumer customers.

We’re well-capitalized and backed by top Silicon Valley investors including Canaan, Neo, and others.

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Much more information:

About Valid

This Role is for you if you’re:

• Seasoned in architecting and implementing high scale and throughput systems
• Accomplished in leading engineering teams in delivering game changing products
• Skilled at partnering with product and business counterparts in roadmap and decisioning
• Relentless in managing resources and allocation towards yielding optimal outcomes

Principal Engineer in a Nutshell

You are the top day-to-day engineer at Valid. You’re reside at the confluence of all technical decisions, partnering with the CTO to determine engineering direction on both macro and micro scales. You thoughtfully operate at the cusp between hands-on software development, high-level design, and technical leadership. You lead and mentor our engineering team in executing and delivering against our aggressive roadmap, and as Valid’s prospects and mandate grow, so too do your role and responsibilities.

In short, your execution and dedication as Principal Engineer will be a key factor in Valid’s success.

Key Qualifications

• Experience: 6+ years software engineering experience with a strong focus on system architecture of large-scale, performant distributed systems
• Technical Leadership: 3+ years leading technical teams, setting engineering standards, and driving architectural decisions in an agile environment
• Engineering Excellence: Mastery in Python (our day-to-day operating language) and a second nature commitment to engineering best practices (e.g., CI/CD, testing, fault-tolerance)
• Cloud and Infrastructure: Hands-on experience managing and deploying cloud platforms (e.g., AWS, Google Cloud) and orchestration tools (e.g., k8s, Docker)
• Familiarity with AI/ML: Proficient knowledge of AI and machine learning platforms/APIs, frameworks (e.g., TensorFlow, PyTorch), and algorithms
• Cross-functional Collaboration: Track record of optimizing technical outcomes that account for engineering, product, and business partners and requirements

Nice to Have