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HomeCompaniesSageLead Data Product Engineer

Lead Data Product Engineer

Sage · New York, New York, United States · Remote · Active · $190,000–$225,000 / year · Greenhouse

Job facts

FieldValue
CompanySage
TitleLead Data Product Engineer
Normalized title-
Department / teamEngineering
LocationNew York, NY, United States
Work modelRemote / Remote
Employment type-
Salary$190,000–$225,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-03 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sage.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySage
Sourced8039b85-551c-429f-ab55-a386fa34acbf
ATS providerGreenhouse

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 pipelines within Palantir Foundry is highly preferred and can be a deciding factor, as it is the platform where most of the work is expected to happen. Familiarity with traditional software engineering principles and languages (e.g., JavaScript, TypeScript, Python) to extend low/no-code capabilities when necessary. Master’s degree in Computer Science or other Quantitative field. Experience in the healthcare industry and familiarity with HIPAA and other healthcare compliance standards. Benefits and Pay Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in office culture, we allow up to 2 remote days per week. Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $190,000 to $225,000 USD, depending on your level of expertise, your experience, and your performance in the interview process. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays. EEO Statement Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Full job record

Job IDe9d25ea5714019cdc5d6c734140cd54faef2a845
Org IDf936c833-1021-42fa-85cd-eee0509cf0ea
Source IDd8039b85-551c-429f-ab55-a386fa34acbf
Board IDd8039b85-551c-429f-ab55-a386fa34acbf
Providergreenhouse
Provider Job Key5817806004
TitleLead Data Product Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York, New York, United States
DepartmentEngineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Rawsalary range for this role is $190,000 to $225,000 USD, depending on your level of expertise, your experience, and your performanc
Salary Min190,000
Salary Max225,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/sage49/jobs/5817806004
Apply URLhttps://job-boards.greenhouse.io/sage49/jobs/5817806004
First Seen At2026-05-29 23:02:40Z
Last Seen At2026-06-06 07:35:08Z
Last Checked At2026-06-06 07:35:08Z
Last Changed At2026-05-29 23:02:40Z
Inactive At
Source Posted At2026-03-03 15:57:27Z
Source Updated At2026-03-24 17:33:41Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=sage49/date=2026-06-06/2026-06-06T07-35-07-843Z-65f9b0b12f1a5e6d672a4820bd04244c487a0943e1873e69d0ab3bbea3fe64ea.json
Event Fields
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Extensions
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Native Structured
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