We are looking for a Software Engineer - Data Platform with at least 2 years of experience to join our early-stage team. The ideal candidate is a traditional software engineer with a passion for data. You will be a foundational member of our team, building the data infrastructure that powers our autonomous AI agents.
What You’ll Do
Own and evolve the company’s data platform, covering both batch and streaming pipelines to ensure scalability, reliability, and performance.
Design, implement, and maintain robust ETL/ELT processes to integrate data from diverse sources, including marketing and advertising platforms (e.g., Google Ads, Meta Ads, Amazon Ads).
Define and standardize core data models, base tables, and schemas to ensure consistency, usability, and accuracy across analytics and ML applications.
Implement strong data governance, access control, and security practices to protect sensitive business and customer information.
Optimize data storage, retrieval, and query performance across large-scale datasets.
Partner with ML engineers, marketing ops, and product teams to ensure data availability and quality for analytics, experimentation, and production use cases.
Build and maintain real-time data streaming infrastructure to power event-driven systems and business insights.
Develop monitoring, alerting, and validation frameworks to guarantee data accuracy and pipeline reliability.
Contribute to documentation, knowledge sharing, and best practices for the data platform.
What You'll Bring
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or related fields.
Strong experience with data pipelines (batch and/or streaming) using modern frameworks (e.g., Spark, Beam, Flink, Kafka, Pub/Sub).
Proficiency with SQL and experience designing data schemas for analytical and operational use cases.
Hands-on experience with data warehouses and data lakes (e.g., BigQuery, Snowflake, Redshift, or similar).
Familiarity with integrating data from third-party APIs and marketing/ad platforms.
Strong programming skills in Python, Java, or Scala for data engineering workflows.
Solid understanding of data security, compliance, and governance practices.
Experience working with cloud platforms (GCP, AWS, or Azure).
Strong problem-solving skills and ability to translate business requirements into scalable data solutions.
Bonus points for experience in any of the following:
Hands-on experience with real-time streaming systems and event-driven architectures.
Knowledge of workflow orchestration tools (e.g., Airflow).
Familiarity with distributed storage systems (e.g., Bigtable, HBase, Cassandra).
Experience implementing data quality frameworks, lineage tracking, and metadata management.
Background in building marketing data pipelines, particularly with GAQL, Ads APIs, or similar query languages.
Exposure to ML feature store design or supporting ML-driven applications.
Contributions to open-source data engineering projects.
About MAI Agents
MAI was founded by technologists and operators who spent over a decade building ad platforms and e-commerce engines. They saw that growth-stage businesses often lacked access to the advanced growth technology powering the largest platforms, and set out to change that. Today, a rapidly growing network of D2C brands and apps rely on MAI’s intelligent agents to simplify marketing complexity, uncover actionable insights, and autonomously drive measurable results. Backed by Tier-1 VCs, MAI is pioneering autonomous growth agents that bring advanced data science and machine learning to every business, and work around the clock to help them reach their full growth potential.
We just announced a $25M Seed round led by Kleiner Perkins.
We're building AI agents to transform the performance marketing industry; a massive $1T market. Video here by our CEO/Founder, former VPE at Instacart.
Our SMB customers are already seeing results (40% lift) with a growing client waitlist by the day.
Most importantly, the team is stellar, solid human beings, and amazing at what they do - you’re going to have a lot of fun.
