Staff Backend Engineer, AI at Pulley

, , -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

240000.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Python, Golang, Distributed Systems, Microservices, API Design, AI Integration, Data Processing, System Design, Observability, Database Optimization, Mentoring, Concurrency Patterns, Event-Driven Systems, Caching Strategies, Real-Time Data Processing

Industry

Software Development

Description

🚂About Pulley Pulley's mission is to make it easier for anyone to start a company. We believe that more startups should exist and that founder-led companies are more successful in the long term. With Pulley’s cap table management tools, companies can better understand and optimize their equity for the long term. Starting a company is hard enough. Managing equity shouldn’t be. We’re a high-performing team on a mission to redefine how early-stage leaders build and manage their companies in an AI-native world. As AI reshapes how businesses operate, we see a unique opportunity to reimagine equity and business management from the ground up. A brand-new, unsolved challenge that we’re excited to tackle. Pulley is growing quickly with over 4,000 customers, including startups like Linear, Runway, Fathom, and Roam. Our trajectory is fueled by top investors like Founders Fund, Stripe, General Catalyst, Caffeinated Capital, 8vc, Elad Gil, and other incredible angels. All of our growth has been organic, and we’re expanding the team to meet the growing demand. We’re looking for passionate, execution-focused self-starters to help us build the next generation of tools for founders. 🌟 About the role We're looking for a Staff Backend Engineer who will architect and build the foundational systems powering our AI-native product. You'll own the design and implementation of scalable backend services that enable intelligent agents to automate complex equity workflows. This is a 0-1 opportunity where you'll define service boundaries, design APIs, and build the distributed systems that make AI capabilities production-ready and reliable at scale. In this high-impact role, you'll work directly with leadership to shape our technical strategy and establish architectural patterns that will guide our engineering organization as we scale. 🛠 What You’ll Do Architect distributed systems that power AI agent orchestration, handling complex multi-step workflows with reliability and observability Design and implement core backend services in Golang for high-performance, concurrent operations and Python for AI/ML integrations and data pipelines Build robust APIs and service interfaces that abstract AI capabilities for consumption by multiple clients and internal systems Own the technical roadmap for backend infrastructure supporting LLM integrations, vector search, and real-time data processing Establish architectural patterns and standards for service design, data modeling, and inter-service communication Drive system scalability and reliability, implementing caching strategies, database optimization, and async processing patterns Build data pipelines that process equity data, embeddings, and user interactions to continuously improve AI model performance Collaborate cross-functionally to translate business requirements into technical architecture and make pragmatic build vs. buy decisions Mentor engineers on backend best practices, system design, and technical decision-making 🙌 What You Bring Technical Foundation: 7+ years of backend engineering experience building production systems at scale Expert-level proficiency in Python for AI/ML integrations, data processing, and scripting Strong Python skills with deep understanding of concurrency patterns, performance optimization, and production Go services Proven experience designing and building distributed systems, including microservices architecture, event-driven systems, and async workflows Deep knowledge of API design (REST) and service-to-service communication patterns AI Infrastructure Experience: Demonstrated experience building backend systems that integrate LLMs and AI capabilities into production applications Hands-on work with agent frameworks, LLM orchestration, and AI service reliability Familiarity with RAG architectures, vector databases (Pinecone, Weaviate, Qdrant), and embeddings pipelines Experience building evaluation frameworks and observability for AI systems Understanding of prompt engineering and LLM API optimization (latency, costs, rate limits) System Design & Leadership: Track record of architecting greenfield services from concept to production with scalability and maintainability in mind Experience with database design and optimization (PostgreSQL, Redis, time-series databases) Strong foundation in system observability, monitoring, and debugging distributed systems in production Proven ability to lead technical initiatives and establish engineering best practices Experience mentoring engineers and elevating team technical capabilities Bonus Points: Experience with Kubernetes, Docker, and cloud infrastructure (AWS/GCP) Background in FinTech or regulated industries Contributions to open-source projects or technical writing Familiarity with AI-powered developer tools like Cursor or Copilot ✨ Why work at Pulley We've moved beyond early-stage uncertainty - Our product has traction and we're building on a solid foundation, but we're still early enough in our journey where your work will directly shape the company's trajectory as we scale. Make it easier for anyone to start a company - Founders turn bold ideas into reality - building things that might not exist otherwise. Starting a company is hard enough. Managing equity shouldn't be. Pulley exists to make equity management simpler, smarter, and more accessible for founders from day one. Work with a high-performing and passionate team - We value the concept of stunning colleagues and we're thoughtful about creating a team that is excited about building a great company together. Here are some traits that enable our team members to thrive: First Principles Thinking - We believe in breaking down problems into their most basic parts, and that something is possible unless proven otherwise. We understand "why did certain things work?" and apply it to our situation. Ship It & Iterate - We value people who not only generate ideas but also do the work to bring them to life. Instead of fixating on outcomes, we focus on the inputs we can control and take our best bets. We move quickly to ship something, talk to users, get feedback, and iterate. Boldly Honest & Aggressively Considerate - Being boldly honest means challenging each other to set and hit goals, and make the right strategic decisions on what to build. Being aggressively considerate means caring about one another as humans and speaking up with empathy so we can succeed together as a team. Ego-less Learner - Everyday at Pulley, we're trying things that we've never done before - sometimes they work; sometimes they don't. It's important to embrace the mindset of a beginner - stay curious, open to feedback, and ready to learn and grow alongside the team. 💚 Benefits Competitive salary and equity Medical, Dental, and Vision insurance Unlimited PTO + Winter holiday break Parental leave Generous stipends for WFH, learning, wellness, and AI tools 401(k) match (US) / Pension match (Canada) Annual Salary Range: $200,000—$240,000 USD The range above reflects the typical salary range for this role. The final offer will depend on factors such as your experience, interview performance, level, and other considerations assessed during the hiring process.

Responsibilities

Architect and build foundational systems for AI-native products, focusing on scalable backend services. Collaborate with leadership to shape technical strategy and establish architectural patterns.