About GlossGenius

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

About the Role

Every AI product GlossGenius ships runs on top of a data platform, and right now, that platform is being rebuilt from the ground up to support it. As a Software Engineer on the Data Platform team, you'll own the architecture and infrastructure that moves data from raw ingestion to model-ready, at the scale of billions of transactions and 120,000+ businesses generating signal every day. This is the foundational layer that determines what our AI can do and how fast it can get there. The work is technically hard, the stakes are real, and the person in this role will directly shape the long-term direction of GlossGenius's data ecosystem.

You must be commutable to our San Francisco office 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

Architect and evolve a scalable, cost-efficient lakehouse foundation using Snowflake and Clickhouse. Owning it end-to-end from design through operations and cost management
Design and implement core data models and pipelines that power analytics, ML, and AI product experiences across the platform
Build the data infrastructure that makes AI possible: pipelines that move data from raw ingestion to model-ready, with the reliability and performance that production ML systems require
Implement modern data orchestration patterns including medallion architectures, batch and streaming workloads, and large-scale ETL at production scale
Define technical standards and best practices that improve data quality, governance, and lineage across teams, and drive adoption across engineers who don't report to you
Use AI tooling to accelerate your own development workflow: from pipeline design and debugging to query optimization, and set the bar for what AI-assisted data engineering looks like on this team
Mentor engineers and foster a culture of ownership, operational excellence, and continuous improvement

What We're Looking For

5+ years of data engineering experience, with a strong background in data architecture, data modeling, and distributed data systems at production scale
You've used AI to design pipelines, accelerate debugging, and push the quality of your own output, not just as an autocomplete tool
Deep expertise in modern lakehouse technologies including Snowflake and Clickhouse, with hands-on experience architecting for reliability and cost efficiency
Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
Proven experience building data infrastructure that supports AI and ML workflows, you understand what it takes to get data from raw to model-ready and have done it in production
Strong ability to lead technical initiatives, set standards, and influence decisions across teams without relying on positional authority
Clear communicator who can translate complex technical trade-offs to both engineers and non-technical stakeholders

Benefits & Perks

Competitive health & dental insurance options, effective on your first day of employment
Flexible PTO
In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
Annual stipend for professional development and continued learning
High performers at 5 years receive a generous stipend to use however you recharge best
401k benefit: employees are eligible to contribute starting day 1 of employment
Dependent Care FSA
Paid parental leave
Fertility and adoption benefits via Carrot and Kindbody

The starting base salary for this role in San Francisco is between $200,000 - $236,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.

At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.

Personal Information: Notice at Collection for Employees and Applicants

Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.

GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.

Software Engineer, Data Platform

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About the role

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