Mento · 7 hours ago
Data Engineer
Mento is a career technology company focused on providing exceptional support and mentorship through human, AI, and software-based coaching. They are seeking a Data Engineer to build the data infrastructure that powers insights and features across their coaching platform, involving the creation of data pipelines and systems that support product features and business analytics.
Career PlanningInformation TechnologyInternetProfessional Services
Responsibilities
Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards
Build data systems that power product features. You'll create data pipelines that feed back into the product—user progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it
Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data stack—choosing and implementing tools for orchestration, transformation, warehousing, and analytics. You'll build foundations that can scale with the company
Process and analyze AI/LLM outputs. You'll work with data from our AI coaching systems, building pipelines to analyze LLM responses, track coaching quality, and generate insights about how users interact with AI coaches
Support business operations and analytics. You'll build data systems that track customer success metrics, billing data, user engagement, and operational KPIs. Your work will directly inform business decisions and product strategy
Create accessible analytics infrastructure. You'll build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools. You'll think about data quality, documentation, and usability
Work closely with product on instrumentation and data collection. You'll collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data. You'll be involved in product discussions and understand feature requirements from a data perspective
Qualification
Required
Mid to senior-level experience in data engineering
Strong data engineering fundamentals
Experience with SQL and Python
Experience in building data pipelines
Understanding of data modeling, ETL/ELT patterns, and scalable data architectures
Experience with databases like PostgreSQL
Ability to drive technical decisions about data infrastructure
Experience evaluating and implementing data tools
Comfortable working with diverse data sources
Experience working closely with product teams
Ability to build both analytical and operational data pipelines
Experience with AI/ML data
Ability to work independently in an early-stage environment
Preferred
Comfortable with Go
Experience with orchestration frameworks, warehouses, transformation tools, or BI platforms
Experience with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs
Experience building systems that feed data back into products in real-time or near-real-time
Experience with LLM outputs, unstructured data, or analytics for AI-powered products
Benefits
Fully Remote - ability to work from anywhere with bi-annual team offsites
Competitive salary and equity
Medical, dental, vision, and a 401k plan
Unlimited vacation (We actually mean this! it's important to keep yourself fresh)
$500 home office stipend
Access to your own Mento Coach
Company
Mento
Mento is a career coaching and mentorship platform.
Funding
Current Stage
Growth StageTotal Funding
$7.9M2023-02-01Seed· $5.95M
2020-10-01Pre Seed· $1.95M
Recent News
FF News | Fintech Finance
2025-09-19
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