Principal Engineer

Job not on LinkedIn

🔥 2 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $220k - $280k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Valid

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

☁️ SaaS

💰 $5.5M Seed Round - Valid on 2025-02

Marketing • SaaS

Valid is an AI-native ad agency that provides end-to-end growth services for consumer companies. They combine performance creative, AI-generated influencers, and media buying into a unified system that leverages humans + machines. Their offerings include fully AI-generated ad creative (20+ creatives per month, rapid concept-to-account timelines), AI-built influencers producing organic posts with whitelisting and partnership rights, and custom media buying across Meta, TikTok, Google, Snap, AppLovin and more with dedicated account teams and dashboard integrations to mobile and DTC attribution. Valid emphasizes data-driven optimization and measurable improvements in ROAS for clients, targeting mobile app and direct-to-consumer advertisers from their San Francisco base.

📋 Description

• Lead and mentor the engineering team in executing and delivering against our aggressive roadmap • Operate at the cusp between hands-on software development, high-level design, and technical leadership • Partner with the CTO to determine engineering direction on both macro and micro scales • Be the top day-to-day engineer at Valid, making critical technical decisions

🎯 Requirements

• 6+ years software engineering experience with a strong focus on system architecture of large-scale, performant distributed systems • 3+ years leading technical teams, setting engineering standards, and driving architectural decisions in an agile environment • 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) • Hands-on experience managing and deploying cloud platforms (e.g., AWS, Google Cloud) and orchestration tools (e.g., k8s, Docker) • Proficient knowledge of AI and machine learning platforms/APIs, frameworks (e.g., TensorFlow, PyTorch), and algorithms • Track record of optimizing technical outcomes that account for engineering, product, and business partners and requirements

🏖️ Benefits

• 401k • healthcare • FSA • meals (when in-person)