Senior Growth Engineer, Full-Stack

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September 6

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Seamless.AI

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B2B • Artificial Intelligence • SaaS

Seamless. AI is a sales intelligence software that provides B2B companies with accurate and up-to-date sales leads. It is a real-time search engine that uses artificial intelligence to find, verify, and validate business contact information. Companies and sales professionals can use Seamless. AI to build lead lists, enrich existing data, and automate the prospecting process. It offers a range of tools and integrations to help sales teams connect with decision-makers and grow revenue efficiently. Trusted by over a million users, Seamless. AI is recognized for its innovative approach to lead generation and data accuracy.

201 - 500 employees

Founded 2016

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Collaborate with growth, product, and data teams to design and implement A/B tests and growth experiments focused on user activation. • Build, deploy, and maintain full-stack features and experiment infrastructure (frontend + backend). • Implement and manage feature flagging systems to enable rapid testing and controlled rollouts. • Work with GrowthBook (or similar experimentation platforms) to set up, track, and analyze experiments. • Instrument and track user behavior in Amplitude and other analytics platforms to generate insights. • Write clean, scalable, and maintainable code across the React frontend and Node.js backend. • Monitor and evaluate experiment outcomes, providing actionable insights and recommendations. • Balance speed of experimentation with engineering best practices, ensuring quality while moving quickly. • The #1 goal is to increase user activation, feature adoption, and time-to-value to maximize customer retention and satisfaction.

🎯 Requirements

• 5+ years of experience as a full-stack engineer (startup or growth-focused environment preferred) • Strong proficiency in modern JavaScript/TypeScript (React.js, Node.js) • Proficiency with modern database technologies (PostgreSQL, Vector DBs, OpenSearch, DynamoDB) • Proficiency with Cloud architecture and scalability best practices, in particular AWS (Lambda, serverless, cloud-native services) • Hands-on experience with A/B testing platforms (GrowthBook, Optimizely, LaunchDarkly, etc.) • Familiarity with feature flag systems and controlled experiment rollout strategies • Experience with product analytics tools (Amplitude, Segment, Tableau) • Ability to translate growth hypotheses into technical experiments quickly and iteratively • Strong data-driven mindset with the ability to evaluate experiment outcomes statistically • Comfortable working in fast-moving, cross-functional growth teams • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) • Proven experience delivering full-stack features and experiment infrastructure in a fast-paced environment • Demonstrated ability to collaborate across engineering, product, and growth teams • Strong problem-solving and analytical skills with a data-first approach • Visa sponsorship is not available; applicants must be authorized to work in the U.S.