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Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, the company is building a living understanding of how a business works—enabling AI to help teams anticipate what comes next, make better decisions, and take action. More than 5,000 companies have used the product since its November launch. The company has raised over $70M from top-tier investors including Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock. The founding team previously built Tome (25M+ users) and brings experience from Llama, Instagram, Google, and Salesforce.
In this role, you will lead ambitious projects that turn complex business data and emerging AI capabilities into powerful new product experiences. Engineers at Lightfield lead product development, working directly with customers to identify important problems, shape solutions, and take end-to-end ownership from inception to impact.
Key responsibilities include:
- Working with customers, founders, and cross-functional teams to understand problems and identify opportunities
- Leading substantial projects end-to-end, from product design and technical architecture through implementation, launch, and iteration
- Building sophisticated AI-native products that transform complex business data into actionable intelligence, helping customers discover opportunities, make better decisions, and automate workflows
- Building reliable, high-performance systems with strong observability, metrics, and operational practices
- Leading technical design discussions, mentoring other engineers, conducting thoughtful code reviews, and establishing engineering best practices
- Contributing to team growth through recruiting and knowledge-sharing
Requirements:
- 7+ years of experience building and shipping software products with strong full-stack engineering skills
- Proven technical leader who can independently scope, plan, and drive projects while bringing other engineers along
- Strong product judgment; ability to turn ambiguous customer problems into thoughtful, effective solutions
- Rigorous, analytical thinker who can break down complex problems, form hypotheses, and use data to evaluate solutions
- High standards for reliability, performance, maintainability, and product quality
- Excitement about LLMs and building new kinds of intelligent systems and product experiences
- Strong software engineering fundamentals, developed through a Computer Science degree, related education, or equivalent industry experience
- Ability to ramp quickly on a stack including TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL
- Clear communication skills; ability to explain product and technical decisions to both technical and non-technical teammates
- Passion for building products customers love
