Software Engineer, Early Career
About Us
We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing, they build relationships with brands through authentic social interactions, seek recommendations from communities they trust, and expect personalized experiences that feel human, not corporate.
At Nectar Social, we're building the AI native social operating system that enables this new era of commerce. We believe every social interaction should deepen the relationship between brands and their communities while creating genuine value for both sides.
Founded by ex-Meta product and engineering leaders, we've recently raised $10.6M in funding co-led by GV (Google Ventures) and True Ventures. We're building the future of social commerce — where community, conversation, and commerce converge.
The Role
We’re looking for an early career Software Engineer to join our team and help build the next generation of AI powered social commerce tools. This is a hands-on, learning focused role where you’ll contribute to real systems used by major consumer brands, while gaining mentorship and experience in a fast-moving startup environment.
You’ll work on building features, supporting AI integrations, and helping scale our platform, all while learning best practices for software development, cloud infrastructure, and AI workflows.
What You’ll Be Doing
Build and Ship Features: Contribute to the development, testing, and deployment of core product features.
Leverage Our Tech Stack: Build solutions using Node.js, React, AWS, GCP, OpenAI, and more
Innovate at Speed: Move fast and break barriers, without compromising on security or performance
Collaborate Across Teams: Work closely with product, design, and engineering to understand user needs and deliver impactful solutions.Support AI & Social Systems: Help develop systems for AI-powered automations, real-time social data, and campaign tracking
An Ideal Candidate
Is a recent or soon-to-be graduate (undergraduate or Master’s) in Computer Science, Software Engineering, or a related field
Hands-on experience through internships, personal projects, coursework, or work experience
Experience with LLMs (ChatGPT, Claude, etc.) and eager to apply them
Excels in fast paced, startup environments with high ownership and visibility
Available to work in-person in Palo Alto at least 3 days per week
What We Offer
Competitive compensation and early equity
Health, vision, and dental benefits + 401(k) match
A hybrid team based in Palo Alto with flexibility for in-office collaboration
Deep exposure to cutting edge AI tooling and the opportunity to shape its application inside brand teams
A collaborative, ambitious team defining a new category of AI native marketing infrastructure