Analytics Engineering Manager

About GlossGenius

GlossGenius is building an ecosystem that enables entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing, and much more.

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As an Analytics Engineering Manager, you will lead the team responsible for GlossGenius's core data modeling infrastructure: the models, frameworks, and systems that both power day-to-day operations and inform business strategy across the company.

You will partner cross-functionally with Product, Finance, Sales, CX, and GTM to design reliable, consistent data models that serve as the foundation for understanding customer behavior, measuring business performance, and activating insights in operational tools.

A core part of this role is acting as a translator between data producers (Engineering, Data Engineering) and data consumers (Analytics, Data Science, business stakeholders), ensuring that upstream schema decisions align with downstream reporting and activation needs. GlossGenius moves fast to ship new product features; a key responsibility is ensuring data models keep pace with new data being produced by those features, so the business has immediate access to measure success and inform iteration.

You will report to the VP of Analytics. You must be commutable to our NYC headquarters and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do

• Manage, mentor, and grow a team of high-performing Analytics Engineers that owns the transformation lifecycle of data in dbt and beyond
• Define and execute the AE roadmap in partnership with stakeholders to ensure they have clean, interpretable data to inform decisions and power operations
• Prioritize strategic initiatives alongside operational needs and stakeholder requests
• Define and enforce modeling standards across domains (Product, Finance, Sales, CX, and GTM) to ensure a consistent and efficient developer experience in dbt
• Partner with Data Engineering on schema design for new features and event instrumentation
• Own the dbt project’s CI/CD pipeline and testing framework, iterate on documentation and code review practices, and balance development velocity with data reliability
• Expand domain coverage and data context within the Hex-powered semantic layer to drive the adoption and retention of self-serve analytics for analysts, PMs, and operators.
• Own the systems that push modeled data into operational tools and partner with go-to-market teams on segments, triggers, and activation logic.

What We’re Looking For

• 2+ years of management experience
• 6+ years of experience with at least two building data pipelines and working with data technologies
• Expert proficiency in SQL and dbt
• Experience with event streaming or real-time data technologies is a plus (open source or vendor)
• Familiarity with the tools in our stack (Segment, Fivetran, Snowflake, dbt, Hex, Airflow) is preferred
• A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
• A demonstrated self-starter with strong communication and project management skills

Benefits & Perks

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially or fully covered by GG
• Fertility and adoption benefits via Carrot
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support
• Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year

Key skills/competency

• Analytics Engineering
• Data Modeling
• dbt
• SQL
• Snowflake
• Hex
• Data Pipelines
• Stakeholder Management
• Team Leadership
• Business Intelligence