Lead Product Engineer (full-stack software development)

Full-stack software and product development - 80%

• Help drive technical execution and outcomes for platform/product:
• Develop and maintain our product using: AL/ML/LMM, RESTful APIs, Node.js, Python, javascript, typescript, React, vector and graph databases, SQL and NoSQL databases and Tailwind CSS
• Implement scalable data pipelines
• Collaborate with all team members to translate concepts into a polished user experience
• Take care of the frontend architecture, performance and best practices
• Take care of backend services and APIs (e.g., Node.js, Python) as needed
• Write clean, well-documented, and testable code; ensure proper QA and testing of code
• Participate in code reviews to maintain high code quality and share team knowledge
• Problem Solving: Tackling complex technical challenges, providing solutions to difficult
• problems, and resolving technical roadblocks.
• Standards and Best Practices: Establishing and enforcing engineering standards, design patterns, and best practices across the team. Ensuring proper documentation.
• Technical Decision Making: Making informed technical decisions with a focus on long-term impact and considering various factors like cost, feasibility, and maintainability
• Stakeholder Collaboration: Communicating technical concepts to non-technical stakeholders, collaborating with product managers, and aligning engineering efforts with business objectives.

Devops support - 10%

• Ensure work maintains privacy, security and compliance standards established by the company
• Help manage internal technical and operational systems, access and privileges
• Identify opportunities for the team to improve speed, quality and efficiency
• Help establish and ensure adherence to engineering processes, best practices and continuous deployment and improvement (CI/CD)

Innovation and research - 10%

• Stay up-to-date with the latest trends and technologies in the web development, AI, search and data landscape
• Identifying new technologies and trends, evaluating their potential impact, and driving innovation within the engineering team
• Develop product prototypes quickly with support of AI tools to help drive faster innovation and implementation within the engineering team
• Review customer meeting recording/transcripts etc. and work closely with product colleagues to deliver a human-first, delightful experience to customers and users

Additionally, this is an opportunity to have Forward-Deployed responsibilities:

• You'll own the technical side of our most complex customer relationships, leading end-to-end engineering efforts across platform architecture, backend services, and AI agent development
• Partner with the CEO and other team members to close and expand enterprise accounts by providing product and technical expertise
• Participate in and sometimes lead technical discovery calls, solution scoping, and architecture reviews with prospects and customers
• Support onboarding and integrating enterprise customers onto our platform
• Translate messy, real-world customer requirements into well-scoped product plans and fully developed solutions

Are you excited by human-centered technology and want to be part of a growing, AI-first startup? Do you have a passion for using the latest technologies to build software products and create a world-class user experience?, * 5-8 years of professional experience in software development demonstrating progressive accountability/responsibility

• Extensive experience with React and its ecosystem
• Good at TypeScript
• Good at Tailwind CSS
• Knowledge of Object-Oriented Programming (OOP)
• Strong understanding of frontend architecture, state management, and performance optimization
• Experience with building and consuming REST APIs
• Solid understanding of full-stack concepts and at least some experience with a backend framework (e.g., Node.js, Express, etc.)
• Excellent problem-solving skills and a strong attention to detail
• Ability to work independently and as part of a collaborative team
• Experience with Firebase, PostgreSQL, Vector/Graphic database
• Experience with Google Cloud
• Understanding of the SOLID principles and how to apply them to write clean, scalable, and maintainable code
• Proficiency in leveraging AI-powered tools (e.g., Claude Code, Cursor, GitHub Copilot) to enhance development workflow and increase efficiency
• Understanding and experience building RAG systems
• Experience in building data pipelines and data science to construct sophisticated search and analytics dashboards
• Experience with UI/UX design systems

Authorized, US-based candidates only, * Have a natural bias for action, curiosity and willingness to learn

• A collaborative team player who is enjoys high levels of responsibility and autonomy and embraces a no-task-is-too-small approach to your work
• Highly organized, detail oriented and results driven
• Thrive with high autonomy and ambiguity; startups move fast and you'll need to make good judgment calls
• Deep understanding of software engineering fundamentals - backend systems, APIs, infrastructure, performance, ticket stories and sprints
• Familiarity with modern AI tools such as LangChain, LlamaIndex, Pinecone, or open-source LLM orchestration frameworks.
• Technical stack proficiency: Cloud infrastructure (GCP), AL/ML/LMM, RESTful APIs, Node.js, Python, JavaScript, TypeScript, React, vector and graph databases, SQL and NoSQL databases.
• Strong security mindset; understands trade-offs in applied AI, data access, and model safety.
• Exceptional communication skills and a builder mentality - you can explain a complex architecture to a non-technical executive and debug a webhook issue with a customer in the same afternoon
• Customer and relationship-building skills - earns trust with technical and non-technical stakeholders alike
• Excited about AI/ML and curious about how it applies across different industries
• A genuine love of customers, problem-solving, and code!

Bonus Points

• Prior experience building autonomous agents or agent frameworks
• ML or data science background
• Sophisticated data architecture and tooling
• Experience deploying LLMs in enterprise or knowledge-intensive domains
• Contributions to open-source AI/infra tools or technical publications

The person most likely to succeed in this role, over-indexes on:

• Integrity
• Resourcefulness
• Accountability
• Adaptability
• Transparency and Communication, * software development: 5 years (Required)

Language:

• English (Required)

Pulled from the full job description

• Paid time off
• Flexible schedule, * Flexible schedule
• Paid time off

We're at the forefront of a revolutionary shift in how universities and companies connect with their most vital asset: their people. We believe that true engagement goes beyond traditional data points, tapping into the nuanced, evolving relationships that drive academic success, lifelong membership, and vibrant employee engagement. Our AI-powered platform is defining a new category by delivering Relational Intelligence - moving organizations from reactive data management to proactive, hyper-personalized relationship building at scale.