Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.

Job Title: Data Engineer
Location: Remote (Remote-first company)
Job Type: Full-Time

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product development—understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.

• Build data pipelines for coaching and user analytics. Create pipelines that process coaching session data, user interactions, and AI-generated outputs to power product analytics, coaching effectiveness metrics, and business intelligence dashboards.
• Build data systems that power product features. Create data pipelines that feed back into the product—user progress tracking, coaching insights, customer dashboards, and more. Work with product and engineering to understand data needs.
• Establish our data infrastructure and architecture. Make key decisions about our data stack, choosing and implementing tools for orchestration, transformation, warehousing, and analytics that can scale with the company.
• Process and analyze AI/LLM outputs. Work with data from our AI coaching systems to build pipelines that analyze LLM responses, track coaching quality, and generate insights about user interactions with AI coaches.
• Support business operations and analytics. Build data systems that track customer success metrics, billing data, user engagement, and operational KPIs to inform business decisions and product strategy.
• Create accessible analytics infrastructure. Build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools.
• Work closely with product on instrumentation and data collection. Collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data.

• Experience: Mid to senior-level data engineer who can work independently, make architectural decisions, and build data systems from the ground up.
• Technical Fundamentals: Strong experience with SQL, Python, and building data pipelines. Understanding of data modeling, ETL/ELT patterns, and scalable data architectures. Experience with databases like PostgreSQL.
• Bonus: Comfort with Go (our backend stack includes Ruby and Go).
• Infrastructure Decisions: Experience evaluating and implementing data tools—orchestration frameworks, warehouses, transformation tools, or BI platforms.
• Diverse Data Sources: Comfort working with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs.
• Product Collaboration: Experience working embedded with product and engineering teams, participating in product discussions.
• Pipeline Experience: Ability to build both analytical and operational data pipelines for real-time and batch processing.
• AI/ML Experience: Experience with LLM outputs, unstructured data, or analytics for AI-powered products.

Why Work with Us?

• 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.
• $500 home office stipend.
• Access to your own Mento Coach.

How to Apply
Interested candidates should apply directly through the Mento careers portal using the link below:

https://job-boards.greenhouse.io/mento/jobs/4657848005

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