Senior Software Engineer

About Valid Valid is one of the fastest-growing AI-native marketing companies. We’re building the company that replaces the traditional marketing agency. We help brands grow across Meta, TikTok, Google, and TV by combining software, AI agents, creative production, and media buying into a single system. Every day, we launch, measure, and iterate on advertising campaigns at a speed that traditional agencies can’t match. Our team operates at the intersection of AI video, filmmaking, performance marketing, and engineering. We believe the future of marketing isn’t people or AI, it’s people working alongside AI systems to produce better work, faster. The model is already working. Valid manages more than $40M in annualized advertising spend and partners with some of the fastest-growing consumer and technology companies, including Replit, Rover, Tolan, and others. Since launching, we’ve consistently won head-to-head against incumbent agencies by delivering better performance and moving faster. Backed by Canaan, Neo, Steve Huffman, Scott Banister, and other leading investors and operators, we’re building the next generation of marketing. This Role Is for You If You're: Experienced in architecting and implementing high scale and throughput systems Accomplished in leading projects that develop and deliver game-changing products Proactive in identifying opportunities to meet and exceed your team's objectives while growing your own career Passionate about mentoring early-stage engineers Driven by the opportunities and challenges afforded by early-stage, high-growth startups Senior Engineer in a Nutshell You're an engineering leader who understands what needs to be done for you and Valid to reach ever-increasing levels of greatness. You thrive on seeing the forest through the trees — you identify the greatest challenges and bottlenecks and purposefully execute against them. As needs dictate, you fluidly transition between contributing both as an individual as well as a key member of a larger technical team. Key Qualifications Experience: 4+ years software engineering experience with focus on system architecture of large-scale, performant distributed systems Technical Leadership: Experience leading technical projects, coordinating execution of small engineering teams, and setting engineering standards 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) Nice to Have

1. years in adtech or martech engineering in a senior capacity
2. years in early-stage (pre-Series B) startups

Exposure to AI and machine learning platforms/APIs, frameworks (e.g., TensorFlow, PyTorch), and algorithms What We Offer Salary: We strive to make offers in the 90th-plus percentile of similar stage/trajectory companies for the level offered Equity: Generous grants commensurate with experience Benefits: 401k, healthcare, FSA, meals (when in-person) Workplace: Remote-possible with a preference for IRL in our San Francisco headquarters Impact: A foundational opportunity to revolutionize the landscape of digital advertising, forever Growth: Active support in growing your career, skills, and outcomes in tandem with the growth of our business Culture: A mission-driven organization where contributions are honored, diversity in experience and background is recognized, and disruption is core to everything we pursue You're Probably a Good Fit If: Applying the latest tech in novel ways to delight customers excites you, and your goal is to maximize ownership You want to join something early-stage and can thrive in an environment of organized chaos: Organized: Build with purpose, work efficiently, communicate clearly, especially in writing. Chaos: We think the best place to learn is in market and will do what it takes to ship as quickly as possible. This Role Might Not Be a Fit If: You don't enjoy wearing multiple hats You don't enjoy mentoring others You dislike navigating ambiguity