Lead Data Product Engineer
Sage
| Company | Sage |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 3 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Us
Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective.
Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.
About this Role
This Staff Data Product Developer will be a pivotal technical leader in our fast-growing startup. Operating at a Tech Lead level within the Analytics team, you will be the primary builder and architect of our client-facing data platform, Sage Insight. You will work autonomously, bringing a blend of technical expertise, product sense, and an entrepreneurial spirit to translate user needs into robust, scalable data applications.
While this is a highly senior role, you will not be an "ivory tower" architect; you will be hands-on developing 80% of the time in your first 6-9 months. You will apply software engineering best practices to a low/no-code environment (specifically Palantir Foundry), partnering closely with our Product and Design teams. Your goal is to ensure our clients have a seamless, intuitive, and powerful experience when interacting with their data. As the platform and company scale, you will help establish the foundation for future Data Product Developers to build upon.
Key Responsibilities
Product Development: Lead the end-to-end development, architecture, and maintenance of Sage Insight, our client-facing data platform, utilizing Palantir Foundry to build powerful data applications.
Cross-Functional Collaboration: Partner closely with Product and Design teams to scope requirements, iterate on UI/UX, and deliver intuitive data products that our clients love and rely on daily.
Technical Leadership & Architecture: Act as the technical lead for data product initiatives. Design scalable system architectures while remaining heavily hands-on in the day-to-day building and deployment of the platform.
Continuous Improvement: Implement software engineering best practices within a low/no-code environment, ensuring application performance, rigorous quality assurance, and state-of-the-art methodologies to increase overall business value.
Minimum Qualifications
Bachelor’s degree in a heavily quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or equivalent).
7-10 years of post-grad experience in data product development, analytics, or a related technical field.
A minimum of 2 years of experience in full-stack application development within a low-code or no-code app development environment.
A minimum of 2 years of experience leading technical projects, with a demonstrated ability to own project delivery and guide technical execution.
Exceptional communication and stakeholder management skills, comfortable supporting non-technical teams (like Product and Design) to reach their goals and managing expectations.
Entrepreneurial and self-starter spirit. You will be expected to actively identify, prioritize, and solve for the needs of different teams and clients, acting as a true owner of the product.
Preferred Qualifications
Extensive experience building applications and data pipel
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