Analyst - Performance and Data Quality

Mem0 is at the forefront of building the memory layer for AI agents, enabling artificial intelligence to remember conversations, learn from interactions, and build context over time. Already powering millions of AI interactions, the company is well-capitalized and backed by top-tier investors.

As our first Data Analyst, you'll be responsible for building the data infrastructure and analytics foundation from scratch. You'll establish how we measure product performance, track key business metrics, and translate data into actionable insights that drive decision-making across the entire organization. This role requires expertise in SQL, data modeling, product analytics, and a unique ability to wear multiple hats—from data engineering to business intelligence to analytics tooling.

You'll own the full spectrum of analytics: designing data pipelines from multiple sources (Postgres, PostHog, LLM outputs, and third-party APIs), building automated dashboards and reports, creating self-service analytics tools for stakeholders, and diving deep into data to uncover insights that inform product direction and business strategy. You'll work closely with Product, Engineering, and Leadership to define metrics that matter, establish measurement frameworks, and ship internal tools that scale with our growth.

Mem0's culture values extreme ownership, high trust, and data-driven decision-making. Data Infrastructure & Pipelines

Build and maintain reliable data pipelines that consolidate information from Postgres databases, PostHog product analytics, LLM outputs, and external APIs into a unified data warehouse

Design data models and establish schemas that scale with our product and business needs

Implement data quality monitoring and validation processes to ensure accuracy and reliability

Set up automated ETL workflows and establish best practices for data collection and storage

Conduct deep-dive analysis to surface trends, identify opportunities, and provide recommendations that influence product and business decisions

Support experimentation and A/B testing initiatives with analytical rigor and evaluation frameworks

Answer urgent, ad-hoc data questions from any part of the organization with speed and accuracy

Develop internal tools and dashboards that enable non-technical stakeholders to access data independently

Build documentation and data definitions that keep the entire organization aligned on metrics and methodology

Train and support team members across the company on how to interpret and use data effectively

Work with Engineering to ensure data collection is robust and metrics are accurate

Expert-level SQL skills with strong experience in PostgreSQL or similar relational databases

Proficiency in Python for data analysis, automation, and building data pipelines

Hands-on experience with product analytics platforms (PostHog, Mixpanel, Amplitude, or similar)

Proficiency with data visualization and BI tools (Tableau, Looker, Metabase, or similar)

Understanding of API integrations, data extraction, and ETL concepts

Familiarity with cloud platforms and modern data warehousing solutions

Experience & Background

• 1-3 years of experience at growth-stage startups in data analysis, analytics engineering, or related roles
• Prior experience as a first data hire or building analytics infrastructure from the ground up is strongly preferred
• Demonstrated ability to work with diverse, unstructured data sources and complex data environments
• Business acumen—you understand what insights actually matter and can translate data into actionable recommendations

you can explain complex findings to both technical and non-technical stakeholders

Adaptability and willingness to shift priorities and learn new tools as the company evolves

you care deeply about the quality and impact of your work

Experience with LLM data analysis, AI/ML workflows, or working with model outputs

Knowledge of privacy-preserving data practices and data governance

Experience building evaluation frameworks for complex systems

Familiarity with experimentation platforms and statistical testing methodologies

This position offers competitive compensation with equity, reflecting the high-impact nature of the role. If you're passionate about data, excited to build from scratch, and want to shape how a cutting-edge AI company measures and understands its impact, this role at Mem0 could be your next opportunity.