Software Engineer

About Us

At Pinpoint, we're building the world's first agentic social media team: a workforce of AI agents that run organic, paid, and influencer social in a brand's own voice, 24/7. Our agents reply to comments and DMs, moderate negativity in real time, screen and recruit affiliates, convert buying-intent conversations into sales, track trends and competitors, and turn every interaction into intelligence a team can actually query and act on.

We believe the future of social isn't more tools for humans to operate, it's agents that do the work itself. Backed by $4M in funding from True Global, Phoenix Capital Ventures, Flybridge, Antler, and social media stars KSI/Sidemen, we work with brands like Overtime, Go. Puff, Polymarket, Represent, Cozy Earth, Masa Chips, Momofuku, Every Man Jack, and hundreds of others.

About The Role

We've hit clear product-market fit—seven figures in ARR—with a lean team of just three engineers. We're now growing our engineering team to expand our feature set, improve our existing agents and tools, and better serve our customers. We use a modern, standard stack: TypeScript everything, Next.js on the frontetnd, Nest on the backend, Postgres with Prisma, AWS, Github CI, and Claude Code.

As startups go, we like to think our codebase is well-structured and empowers us to ship great product quickly and safely. We rotate through tasks to keep ourselves fresh and engaged, so you'll work across the whole stack rather than getting boxed into one corner. What You'll Be Doing

• Design and scale the systems that ingest and process social data in real-time from Meta, Tik. Tok, X, and other platforms
• Leverage bleeding-edge AI to make decisions for our customers and manage data at scale
• Work closely with the founding team to turn fast-moving product ideas into shipped, reliable features
• Build the product surfaces our customers use to configure, monitor, and trust their agents, from agent configuration and management to plain-English reporting What We're Looking For
• Full-stack fluency
• Past experience at a Series A or Series B startup
• The ability to weigh engineering, product, and business decisions
• A beginner's mind Bonus Points
• Experience building with social APIs
• Experience building AI-powered or LLM-integrated product features
• Experience with real-time data pipelines or high-volume data processing
• Previous experience at an early-stage or rapidly-scaling startup What We Offer - $150k - $200k, plus early equity.