Full-Stack Engineer
Actively AI | San Francisco, California, United States | Yesterday
full-time | on-site | senior | 5+ years
skills: python, fastapi, react, typescript, sql, nosql, api
About Actively AI
Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
Why does this matter? Because revenue is the ultimate fuel for businesses. The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers.
In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
About Actively
Actively is building superintelligence for GTM teams. We train custom reasoning agents to think like a company’s best sales reps, and then use them to evaluate millions of datapoint about every single prospect account in the company’s TAM to feed their sales reps the optimal actions to take every day to maximize revenue.
Our customers include some of the fastest-growing companies out there — Ramp, Verkada, Justworks, Ironclad, etc. — for whom we’ve driven hundreds of millions of dollars in added revenue in the past year.
We’ve raised over $22.5M in funding, including a recent Series A led by Bain Capital Ventures
About the Role
We’re looking for a Senior/Staff Full Stack Engineer to architect and build the foundational systems that define how users interact with Actively’s AI Agents through web interface as well as real-time workflows enabled via Chat.
For most of Actively's history, our intelligence has run quietly in the background, wired into Salesforce, Outreach, and the tools your customers already use. We're now building the product itself: the surface where users actually see what agents are doing, give direction, and collaborate in real time.
This is a foundational role. You'll own the core product experiences that define how Actively feels, from Python/FastAPI backends and workflows to the React/TypeScript interfaces that bring them to life. You'll establish the design patterns, platform architecture, and technical standards that every future surface is built on top of. You'll prototype new agent interactions, run experiments, and work directly with customers to make complex AI behavior feel natural and trustworthy.
For more on how we think about human-agent collaboration, see our blog post.
What You’ll Do
Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
Why does this matter? Because revenue is the ultimate fuel for businesses. The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers.
In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
About Actively
Actively is building superintelligence for GTM teams. We train custom reasoning agents to think like a company’s best sales reps, and then use them to evaluate millions of datapoint about every single prospect account in the company’s TAM to feed their sales reps the optimal actions to take every day to maximize revenue.
Our customers include some of the fastest-growing companies out there — Ramp, Verkada, Justworks, Ironclad, etc. — for whom we’ve driven hundreds of millions of dollars in added revenue in the past year.
We’ve raised over $22.5M in funding, including a recent Series A led by Bain Capital Ventures
About the Role
We’re looking for a Senior/Staff Full Stack Engineer to architect and build the foundational systems that define how users interact with Actively’s AI Agents through web interface as well as real-time workflows enabled via Chat.
For most of Actively's history, our intelligence has run quietly in the background, wired into Salesforce, Outreach, and the tools your customers already use. We're now building the product itself: the surface where users actually see what agents are doing, give direction, and collaborate in real time.
This is a foundational role. You'll own the core product experiences that define how Actively feels, from Python/FastAPI backends and workflows to the React/TypeScript interfaces that bring them to life. You'll establish the design patterns, platform architecture, and technical standards that every future surface is built on top of. You'll prototype new agent interactions, run experiments, and work directly with customers to make complex AI behavior feel natural and trustworthy.
For more on how we think about human-agent collaboration, see our blog post.
What You’ll Do
- Own end-to-end features. Design, build, and ship customer-facing experiences across the stack, from Python/FastAPI services and background workers to polished React/TypeScript UIs.
- Define Actively’s product platform. Architect the frameworks, patterns, and shared product components that make every product surface fast, consistent, and cohesive.
- Design and prototype intelligent AI interactions. Collaborate with agent SDKs and internal frameworks to build new user experiences for configuring, debugging, and collaborating with agents including conversational interfaces, feedback loops, and workflow builders.
- Build for real usage at scale. Operate across the full stack to ensure high performance, reliability, and seamless data flow, working across SQL/NoSQL stores, caching layers, and task execution pipelines, and contributing to backend systems where needed to deliver a cohesive end-to-end experience.
- Customer-driven iteration. Work directly with customers and alongside other teams to translate real feedback and behavior into simple, easy-to-use experiences, experimenting and refining quickly based on what customers actually need.
- A seasoned, product-minded engineer. You have 5+ years of experience building and shipping high-impact, customer-facing products end-to-end — from backend APIs to refined UI experiences.
- Product-minded and design-curious. You care about usability, polish, and the emotional feel of software as much as the systems behind it.
- Frontend-strong, backend-capable. You have deep experience with React, TypeScript, and modern web frameworks, and you’re comfortable working in Python/FastAPI backends to craft seamless full-stack flows.
- A systems thinker. You recognize the patterns behind good architecture and design frameworks that help others move faster without sacrificing quality. You think in terms of type safety, API contracts, and shared platform primitives.
- Iterative by nature. You thrive in fast feedback loops; building, learning, and refining quickly based on real-world use and customer insight.
- Grounded and self-directed. You thrive in environments where the path isn't fully defined — making architectural and product calls without waiting for direction, owning outcomes end-to-end, and bringing structure to ambiguity. You've operated in a mode where you decided what to build, how to build it, and why it mattered.
- A builder in the AI space. You've shipped real AI-powered products and not just prototypes and know how to turn LLM capabilities into fast, trustworthy, user-facing experiences. You stay current on the ecosystem because you're building with it, not just watching it.
- Track record of building 0→1 products in fast-moving, resource-constrained environments.
- Experience as an early or founding engineer, where you owned architecture, product calls, and shipping and not just execution
- Deep experience building agentic UI systems, such as chat interfaces, agent inboxes, or task orchestration UIs.
Benefits
health insurance · dental insurance · vision insurance · 401(k) · paid time off