Product Solutions Analyst; Weekends

About EliseAI

At Elise

AI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be. By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.

• Healthcare
  :
  We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork.

• Housing
  :
  We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place.

With Elise

AI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $250 million Series E round led by Andreessen Horowitz to accelerate this mission.

Elise

AI’s Customer Support team are subject matter experts responsible for solving issues and answering questions for our customers. Our Support Analysts possess in-depth system knowledge on our individual client configurations and systems and configuration data access. The Support team works with other internal teams to troubleshoot customer issues and ensure the best possible customer experience.

Job Type: Full-time, Non-Exempt (eligible for overtime pay)

Work Schedule: Thursday through Monday (schedule may vary based on business needs) to provide coverage during peak support times.

Work Location: Onsite in our Midtown South NYC office

• Provide tier 1 and tier 2 technical support to clients via Zendesk, our ticketing system, ensuring timely resolution of issues

• Investigate, troubleshoot, and fix complex technical issues and escalate to appropriate internal teams when necessary

• Maintain clear documentation and communication with clients throughout the support lifecycle, and approach each interaction with a customer-obsessed mindset

• Collaborate with the Solutions team to relay user feedback, identify recurring issues, run audits and contribute to product improvements

• Maintain and update internal knowledge base articles, FAQs, and user guides to enhance self-service support options and reduce incoming ticket volume

• Run Quality Assurance check on our Support AI Chatbot and provide ongoing coaching to ensure proper responses for issue resolution

• Attract top-tier talent to join our driven team

Move at rocket speed, build something massive.

We’re scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard.

• 0-2 years in a Customer Support Analyst or equivalent role

• Experience with support software and CRMs (e.g., Zendesk, Salesforce, SQL Knowledge is a plus)

• Demonstrated technical proficiency such as a computer science degree, bootcamp certificate, or previous work experience

• Bias towards data-driven decision-making and analytical skills

• Strong written and verbal communication skills

• Willingness to work in our NYC office Thursday - Monday

• Computer Science degree, bootcamp certificate, or equivalent

• Experience building projects using low code / no code tools such as Retool

• Advanced knowledge of Google Sheets or Excel

• Familiarity with Data Dog or other similar event-logging software

• Familiarity with Postman or other API testing tools

• Familiarity with Reporting tools such as Tableau

• Experience writing SQL queries

Growth and impact. It’s not often that you can get in on the ground floor of a funded unicorn startup that’s scaling so fast. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail.

Either way, the rest of…