
Software Engineering Lead
About InstaLILY
InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with Lily™, the world's first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. It does not leave when the work ships; it stays and keeps the software working as the business changes. Lily runs wherever the work happens, in the cloud, on-premise, or at the edge, through InstaLILY's Small Data Center, built with NVIDIA technology. Founded in 2023 by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto, InstaLILY serves leading companies across construction, industrial distribution, logistics, healthcare, and other operationally intensive industries. Learn more at https://instalily.ai/.
The Traction
Revenue grew 5x over the past year, and Lily has driven over $200M in new annual sales for a single customer. We serve some of the largest operators in our industries, including SRS Distribution (part of The Home Depot family), United Rentals, and Henry Schein, and we work closely with the Google DeepMind and NVIDIA ecosystems.
How We Work
We work in small teams with real ownership: clear problems, direct access to the customers whose work you're changing, and room to ship. Your code runs in live production systems inside billion-dollar operations, so you see your impact directly. People who do well here want that proximity to the work. We're growing fast, and the people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code.
Responsibilities
- Develop Instalily's AI workflow platform, and plan, initiate and manage information technology projects to drive technical excellence throughout the organization.
- Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
- Work closely with cross-functional teams (product, UI/UX, business development) to design and implement new features and capabilities.
- Understand the expected quality and reliability of the platform through comprehensive testing and continuous integration/continuous delivery (CI/CD) practices.
- Build a rapport with the Head of Product and CEO while fostering a culture of continuous learning and improvement.
- Collaborate with the product and design teams to deliver high-quality products that meet customer needs.
- Stay up-to-date with the latest AI and software engineering trends and technologies. Responsible for building a culture of continuous learning and improvement.
Requirements
Position requires 1 year of experience in the following:
- U.S. Bachelor's degree or foreign equivalent in Computer Science, Engineering, a Mathematical field, or a related field, and 1 year of experience in the job offered, as a Software Engineer, or in a Software Engineering Lead-related occupation.
- Experience or demonstrated understanding of AI and machine learning technologies, and experience in rapid prototyping to rigorous offline/online evaluation, A/B testing, and continuous model retraining in production.
- Experience with Python, JavaScript, or similar programming languages.
- Experience with cloud computing technologies including AWS, Azure, or GCP, and using infrastructure as code (Terraform), containers (Docker), orchestration (Kubernetes), and serverless patterns.
- Experience delivering production-ready AI/ML products, including intelligent applications, data pipelines for machine learning, or scalable AI services.
- Experience collaborating with internal teams and external stakeholders to design, build, and productionize well-documented systems for internal business objectives and client needs.
- Experience with ML infrastructure (model deployment, feature storage, model versioning, automated testing, drift detection, performance monitoring, model evaluation, optimization, and data processing).
- 20% telecommuting permitted. Must report to office 4 days/week
What You’ll Get
- Proven product: Customers are live; this isn’t a bet on an unproven thesis
- AI-native: In how we build, how we work, and what we sell
- Stage: Early enough to shape how the company scales
- Global: Based in New York with offices in SF and London
- Culture: Sharp, low-ego team that keeps raising the bar
- Growth: The learning curve is steep
Compensation and Benefits
- Salary Range: $130,000 - $140,000 per year, commensurate with experience
- Equity: Generous stock options awards, and refreshers for top performers
- Benefits: Medical, Dental, Vision, 401K, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and 10 US Federal Holidays, and more!
Quality Over Quantity
To ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to 3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.
InstaLILY is committed to providing an inclusive and barrier-free recruitment process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
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