Staff Software Engineer

Staff Software Engineer (Remote)

About Our Client

Our Client is a fast-growing SaaS company transforming how professionals market themselves and engage their communities. Backed by strong funding and rapid growth, they’re building AI-driven products that deliver premium brand-building, lead generation, and client engagement at scale.

The Role

Our Client is launching a new team to reimagine client marketing and social media tools. We’re looking for a Staff Software Engineer with a product mindset and 0→1 experience to help drive this greenfield build. You’ll work in a small, high-agency squad (PM, Design, 2–3 Engineers) where speed, ownership, and outcomes matter most. This role leans frontend (60/40), but requires full-stack leadership and the ability to prototype quickly with AI.

This is a high-impact opportunity to design and deliver AI-native tools that empower professionals with automated, always-on social marketing.

What You’ll Do

• Lead design and implementation of core systems for social media marketing tools
• Drive greenfield projects: content pipelines, scheduling tools, distribution integrations
• Rapidly prototype AI-powered features (chatbots, LLM-driven workflows, etc.)
• Define scalable architecture for client-facing AI products
• Stay hands-on while mentoring teammates and guiding technical decisions
• Partner with Product, AI, and Design to ship innovative features with speed and impact

What We’re Looking For

• 8+ years full-stack experience at Staff/Principal level (leaning frontend)
• Strong product mindset (builds for user value and business outcomes)
• Proven 0→1 experience (early-stage startup, not just big tech/enterprise)
• Applied AI experience: building AI features into products, using AI in workflows
• High autonomy: takes ownership, drives outcomes, collaborates across functions
• Bonus: Hands-on with APIs for TikTok, Instagram, or Facebook

Tech Environment

• React, Tailwind, Apollo, Node.js, TypeScript, Python, PostgreSQL, DynamoDB, Kafka/SQS, AWS, Kubernetes, LangChain