Company Overview

LockedIn AI is the #1 real-time AI interview and meeting copilot, trusted by over 1 million users worldwide. We are building a next-generation AI-powered career intelligence platform that helps users perform better in interviews, coding assessments, and professional communication.

Our platform generates massive volumes of product, user, and AI system data — and we are looking for someone who can turn that data into clarity, structure, and actionable insight.

Position: Analytics Engineer

Employment Type: Full-Time
Work Model: Remote (US-Based) with optional hybrid in New York, NY
Compensation: $120,000 – $175,000 USD per year
Reports To: Co-Founder / CEO

Role Overview

We are hiring a meticulous and systems-driven Analytics Engineer to build the data models, transformation pipelines, and analytics infrastructure that power decision-making at LockedIn AI.

This is a foundational data role responsible for transforming raw product events, AI system logs, and business data into clean, reliable, and well-structured datasets that can be trusted across the organization.

You will sit at the intersection of data engineering, analytics, and product strategy — ensuring that every metric used across LockedIn AI is accurate, consistent, and actionable.

Key Responsibilities

Data Modeling & Transformation

• Design and build scalable data models for product, user, and AI system data
• Transform raw event streams and logs into structured analytical datasets
• Develop and maintain modular transformation pipelines using dbt or equivalent tools
• Build a semantic layer that ensures consistent business metric definitions across the company
• Model core domains including user behavior, AI performance, revenue, and engagement metrics

Data Quality & Governance

• Implement automated testing for data quality, schema validation, and freshness checks
• Enforce data contracts between upstream systems and downstream analytics consumers
• Build data catalogs and documentation for self-service data discovery
• Monitor pipeline health and create alerting systems for data failures or anomalies
• Ensure reliability, consistency, and trust across all analytical datasets

Analytics Infrastructure

• Own and optimize the modern data stack including warehouse, transformation, and BI layers
• Build and maintain ELT pipelines from product systems, logs, and third-party tools
• Implement CI/CD workflows for analytics codebases
• Optimize warehouse performance, query efficiency, and cost structure
• Ensure scalability and reliability of analytics infrastructure

Business Intelligence & Reporting

• Partner with product, engineering, marketing, and leadership teams
• Translate business questions into scalable data models and metrics
• Build core dashboards and reporting layers for key company metrics
• Enable self-serve analytics through well-structured data marts
• Ensure all dashboards reflect a single source of truth

AI & Product Analytics

• Build models to track LLM performance, latency, cost, and quality metrics
• Structure user behavior data for funnels, cohorts, and retention analysis
• Support experimentation and A/B testing frameworks with clean data models
• Provide datasets for AI research, evaluation, and model improvement workflows
• Analyze product usage trends to inform roadmap and growth decisions

Collaboration & Documentation

• Work closely with data engineers to ensure reliable upstream data delivery
• Collaborate with product managers and analysts on metric definitions
• Maintain clear and comprehensive documentation of all data models
• Establish a strong culture of data transparency and consistency
• Continuously improve analytics engineering practices and standards

Required Qualifications

Experience

• 3+ years of experience in analytics engineering, data engineering, or similar roles
• Experience building production-grade dbt or equivalent transformation pipelines
• Strong experience defining product metrics and analytical models
• Experience working with cross-functional teams in fast-paced environments
• Startup or high-growth company experience preferred

Technical Skills

• Expert-level SQL (window functions, optimization, complex queries)
• Strong experience with dbt or similar transformation frameworks
• Proficiency in Python for data processing and automation
• Experience with data warehouses (Snowflake, BigQuery, Redshift, etc.)
• Familiarity with orchestration tools (Airflow, Prefect, Dagster, etc.)
• Strong understanding of Git and version-controlled analytics workflows
• Knowledge of dimensional modeling and data modeling principles

Preferred Qualifications

• Experience modeling AI or LLM system performance data
• Background with event-driven or streaming data architectures
• Experience supporting large-scale consumer products (100K+ users)
• Familiarity with data governance and privacy frameworks
• Experience with reverse ETL tools (Hightouch, Census, etc.)
• Contributions to dbt ecosystem or data engineering open-source tools
• Experience in SaaS, edtech, or career-tech platforms

What We Offer

• Competitive salary with meaningful early-stage equity
• High-impact role influencing product decisions for 1M+ users
• Remote-first flexibility with optional collaboration in New York
• Ownership of core analytics and data infrastructure
• Fast-paced environment focused on execution and learning
• Strong technical and career growth opportunities

Why Join LockedIn AI

• Category-defining AI interview copilot platform
• Rapidly scaling global user base
• Direct ownership of company-wide data foundation
• Opportunity to build analytics systems from the ground up
• High-speed environment where decisions turn into impact quickly

How to Apply

Please submit:

• Resume or CV
• Short note including:
  • Why you want to join LockedIn AI
  • Whether you have used the product
  • Suggestions for improvement
• Optional: GitHub, portfolio, or data projects