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 Senior Analytics Engineer for Client Deployments will be a pivotal technical player in our fast-growing startup. You will focus on new client engagements, prioritizing value creation within the critical first 3-6 months of communities going live. You will act as the technical bridge between our clients, Sage operations teams, and the data architecture that drives our insights.

Because on-site context is vital to our success, you should expect up to 25% travel (typically 1-2 weeks at a time maximum) to work directly with clients and ensure seamless deployments.

Key Responsibilities

• Client Engagement & Scoping: Partner closely with clients and Sage operations teams to scope and define technical requirements for new community deployments.
• Pipeline & Architecture: Build and maintain robust bi-directional data pipelines to ensure seamless, secure data flow between client systems and Sage's infrastructure.
• Custom Analytics & Modeling: Develop custom analyses, data models, and reporting dashboards that drive immediate, measurable value for clients in their first 3-6 months post-launch.

Minimum Qualifications

• 4–8 years of professional experience in analytics engineering, data engineering, or a closely related technical field.
• Proven track record of designing and building data pipelines, custom analyses, data models, and reporting systems.
• Strong client-facing communication skills with experience scoping complex technical requirements alongside both technical and non-technical stakeholders.
• Ability and willingness to travel up to 25% of the time (in 1-2 week increments).

Preferred Qualifications

• Experience working in a fast-paced B2B startup environment or deploying software to external enterprise clients.
• Background working with healthcare, senior living, or health-tech data domains.

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 $180,000 to $200,000 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.