À propos de ce poste Software Engineer, Data Platform chez GlossGenius
About Genius AI
Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
About the Role
Every AI product Genius AI 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 100,000+ 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 Genius AI's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At Genius AI, 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. Genius AI 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 Genius AI by a third party without a signed search agreement in place, it will become the property of Genius AI and no fee will be paid, irrespective of whether the candidate is hired.
Genius AI 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.
