Senior Software Engineer

Senior Software Engineer (AI-Native Full Stack) Overview We're partnering with a fast-growing startup building AI-powered products used by millions of creators worldwide. This is not a traditional software engineering role. We're looking for a product engineer who thrives in ambiguity, enjoys owning products from idea through production, and already relies on AI as a fundamental part of how they build software. The ideal candidate has spent time at startups or small, fast-moving engineering teams where ownership is broad, shipping is frequent, and engineers work closely with Product, Design, and AI teams. You'll be expected to move quickly, make thoughtful technical and product decisions, and help shape the future of AI-native software development. If AI has fundamentally changed the way you design, build, debug, and ship software, and you can clearly explain how, we'd love to hear from you. Location: San Francisco, CA or New York, NY (Hybrid, Tuesday-Thursday in office) Employment Type: Full-Time Compensation: $180,000 - $230,000 + Equity Responsibilities Own products and major features from concept through production, iteration, and long-term ownership. Build polished customer-facing experiences using React and TypeScript. Design scalable backend systems using Python and PostgreSQL. Build AI-powered features using modern LLM technologies and AI workflows. Collaborate closely with Product Managers, Designers, and Machine Learning Engineers. Make architecture decisions, write production-quality code, and improve existing systems. Ship quickly while maintaining a high quality bar. Use AI throughout the engineering lifecycle, including planning, architecture, coding, debugging, testing, documentation, and code review. Continuously improve engineering workflows by thoughtfully integrating AI into day-to-day development. Help shape how an AI-native engineering organization operates. Qualifications Required: Experience: 5+ years of professional full-stack software engineering experience (professional experience only). Experience building and shipping production software used by real customers. Experience owning products or major features from idea through production. Experience working in startup or small, fast-moving engineering environments where engineers own broad product areas. Experience working closely with Product, Design, or AI teams. Frontend Experience building polished, customer-facing user interfaces. Strong product sense and attention to user experience. Experience building production APIs and backend services. Strong SQL and PostgreSQL experience. Experience designing scalable backend systems. We're looking for engineers who already use AI as part of how they work. You should regularly use tools such as Cursor, Claude Code, Copilot, Codex, or similar for: Planning Coding Testing Documentation Code review Refactoring You should also be able to clearly explain: How AI has fundamentally changed your engineering workflow. Where AI works exceptionally well. Where AI still requires human judgment. How AI has improved your productivity or changed what you're able to build over the last year. Product Mindset Experience iterating based on real user feedback. Comfortable operating with ambiguity and incomplete requirements. Based in or willing to relocate to San Francisco or New York. Preferred Experience building AI-powered customer-facing products. Experience with Flask or Firebase. Experience building products at startup scale. Founder or early employee experience. Experience shipping products with millions of users, page views, or transactions. Experience working on consumer-facing SaaS products. Experience in the creator economy, social products, or marketplace platforms. Competitive salary plus equity package. Four-year equity vesting schedule with one-year cliff. 4 weeks of paid time off plus federal holidays. Platinum medical, dental, and vision insurance with 99% employer-paid premiums. 401(k) retirement savings plan. Home office, computer, and equipment reimbursement. Relocation assistance for candidates moving to San Francisco or New York. Ideal Candidate The strongest candidates don't just know React and Python. They've spent years building products that customers actually use. They're comfortable moving from a rough idea to a production-ready feature with minimal direction. They've worked on small teams where engineers wear multiple hats, own large parts of the product, and ship frequently. They're genuinely AI-native. AI isn't just helping them autocomplete code. It's changing how they think, plan, debug, review, and build software every day. They enjoy collaborating across engineering, product, and design, care deeply about user experience, and know when to move fast versus when to slow down and get the details right. This Role May NOT Be the Right Fit If... Most of your experience has been on large enterprise teams with narrow ownership. Your experience is primarily backend, infrastructure, or internal enterprise systems with limited customer-facing product work. You primarily use AI for code completion rather than throughout the engineering lifecycle. You have limited experience building polished React/TypeScript applications. You prefer highly defined requirements over ambiguous product problems. You're looking for a role focused on maintaining existing systems rather than building new products. Before You Apply Please make sure you can confidently answer yes to most of the following: Have you owned products or major features from idea through production? Have you built software used by real customers? Do you use AI every day throughout your engineering workflow? Has AI fundamentally changed how you build software? Have you worked on a small, fast-moving engineering team? Are you comfortable making product decisions in addition to technical decisions? Are you excited about building AI-powered products at startup speed? #J-18808-Ljbffr Jack