Software Product Engineer
Location: Hybrid (San Francisco, CA)
Salary: $175,000–$250,000 base + equity + benefits
About the Company
Join a fast-growing, venture-backed startup that is transforming how sales teams operate. This company is revolutionising a $12T industry with AI-driven tools, automation, and real-time collaboration that enhance productivity by 2-3x. Achieving $5M ARR in just 2 years and with plans to triple revenue by mid-2025, they are at the forefront of AI-powered innovation in the workplace.
About the Role
As a Software Product Engineer, you will take ownership of building and optimising complex systems that integrate cutting-edge AI and machine learning technologies. This hands-on role offers the opportunity to work with a talented team and shape impactful products from end-to-end, driving efficiency and innovation for sales teams worldwide.
Key Responsibilities
- Optimise real-time syncing, state transitions, and latency in AI-powered tools.
- Develop GPT-3-powered solutions to analyse call data and generate actionable insights.
- Create robust integrations with sales platforms to expand market reach.
- Utilise machine learning to model conversation patterns and predict outcomes.
- Enhance front-end performance for complex systems involving WebRTC, Twilio, and more.
Tech Stack
- Frontend: React, TypeScript, MobX
- Backend: Node.js, Express, TypeScript
- Technologies: Firebase, Firestore, Websockets, Twilio, WebRTC, Postgres, Redis
- ML: GPT, Transformers, PyTorch, signal processing
- (Experience in all technologies not required, but a strong willingness to learn is key!)
What Sets This Role Apart
- Work on cutting-edge AI applications that drive real-world impact.
- Join a team of world-class engineers, including Olympiad medalists and alumni from top tech companies like Google, Facebook, and Scale AI.
- Be part of a fast-paced, collaborative environment with immense growth potential.
Ideal Candidate Profile
- Experience: 4–8 years as a software engineer or in a related technical role, ideally with early-stage startup experience.
- Skills: Proven ability to build and scale complex systems, with a focus on high-quality, impactful features.
- Mindset: Product-focused with a passion for solving challenging technical problems.
- Preferred: Strong academic background ideally graduating with a Computer Science degree and familiarity with AI/ML technologies.
This is a unique opportunity to work at the intersection of AI, machine learning, and enterprise software, creating solutions that redefine how sales teams operate. Competitive compensation, equity, and benefits await the right candidate.