Customer Education Engineer at EliseAI

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Housing, TechnologyIndustries

Requirements

Proficiency in SQL and comfort scripting in Python to work with APIs, webhooks, and datasets
Demonstrated experience integrating SaaS tools (e.g., LMS, webinar, CRM/CS, support, product analytics) and automating workflows end-to-end
Track record building production-grade dashboards and defining clear, decision-ready metrics
Ability to partner with trainers/facilitators and translate non-technical needs into scalable systems
Strong written/verbal communication and documentation habits
Willingness to work in person at our office 4-5 days a week
Preferred Qualifications
Familiarity with LMS platforms (e.g., Skilljar, LearnUpon), webinar tools, certification/badging workflows, and SCORM/xAPI basics
Exposure to modern data/BI stack (e.g., Snowflake/Redshift/BigQuery, dbt, Airflow/Lambda; Looker/Mode/Tableau/Hex)
Experience with product analytics (Amplitude/Heap/Pendo) and event schemas
Understanding of SaaS lifecycle metrics (activation, adoption, retention)

Responsibilities

Own education automation & tooling: Integrate LMS, webinar platforms, CRM/CS tools, support, and product analytics; build event-driven workflows (APIs/webhooks) for enrollments, reminders, certifications, surveys, and follow-ups
Build reliable reporting: Define the education metric stack (activation/TTFV, completion, assessments, certification, NPS/CSAT, content engagement, ticket deflection, feature adoption) and deliver trustworthy, self-serve dashboards
Translate goals into systems: Convert training objectives into scalable processes—audience segmentation, learning paths, prerequisites, triggers, and success criteria
Instrument the journey: Add telemetry at key onboarding milestones; enable just-in-time education (in-app nudges, emails, micro-lessons)
Run data-informed experiments: Design simple A/Bs/holdouts to lift activation and targeted feature adoption; analyze and share readouts
Raise reliability: Establish SLAs, alerting, and QA for automations and data syncs; maintain runbooks and documentation
Close the loop: Capture learner feedback and product usage to recommend curriculum/content updates and prioritize the backlog with Customer Education

Skills

Key technologies and capabilities for this role

LMSwebinar platformsCRMAPIswebhooksproduct analyticsevent-driven workflowsreportingdashboardsaudience segmentationautomationanalytics

Questions & Answers

Common questions about this position

Is this role remote or onsite?

The role is onsite.

What is the salary range for this position?

This information is not specified in the job description.

What key skills are required for the Customer Education Engineer role?

Key skills include integrating LMS, webinar platforms, CRM/CS tools, and product analytics; building event-driven workflows with APIs/webhooks; and creating reliable reporting and dashboards for education metrics.

What is the company culture like at EliseAI?

EliseAI offers full autonomy with no micromanagement, hires top-tier driven talent, moves at rocket speed, and provides intense, rewarding work where you own your impact.

What makes a strong candidate for this role?

Strong candidates are hungry, driven individuals ready for hard, intense work with skills in automation, analytics, and operational excellence, who can own systems and collaborate across teams.

EliseAI

Conversational AI solutions for businesses

About EliseAI

EliseAI provides conversational artificial intelligence solutions tailored for businesses in the real estate and healthcare sectors. The platform automates customer interactions and operational workflows, integrating with existing systems like Property Management Systems and Customer Relationship Management systems. For real estate clients, EliseAI streamlines the leasing process with tools for automated tour scheduling and virtual tour management, allowing potential renters to receive responses and schedule appointments 24/7. In healthcare, EliseAI acts as an AI assistant to manage patient inquiries and appointment scheduling, enhancing efficiency in medical facilities. The company operates on a Software-as-a-Service model, charging subscription fees based on service levels and customization. EliseAI's goal is to improve operational efficiency and customer satisfaction by automating routine tasks and providing valuable insights through analytics.

New York City, New YorkHeadquarters

2017Year Founded

$138MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine Learning, Real Estate, HealthcareIndustries

201-500Employees

Benefits

Equity in the company in the form of stock options

Medical, Dental and Vision premiums covered at 100%

Fully paid parental leave

Commuter benefits

401k benefits

Monthly fitness stipend

Fun company social events through our Elise and the City program

Unlimited vacation and paid holidays

Risks

Increased competition from companies like Colleen AI and Funnel may erode market share.

Expansion into healthcare faces challenges due to regulatory requirements and integration issues.

Reliance on proprietary technology poses risks if competitors develop superior solutions.

Differentiation

EliseAI integrates seamlessly with PMS, CRM, and calendar applications for efficient communication.

The platform handles 50% of tour appointments, with 27% scheduled after business hours.

EliseAI supports multiple languages, enhancing its utility in diverse markets.

Upsides

EliseAI's Series D funding of $75M boosts its market expansion and product development.

The platform's AI-driven predictive analytics improve rental pricing and occupancy forecasting.

Growing demand for AI in telehealth services aligns with EliseAI's HealthAI expansion.

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