{"schemaVersion":"jobsearcher.job.v1","id":"d05158d701dc13addfd9a07a","url":"https://jobsearcher.com/jobs/d05158d701dc13addfd9a07a","canonicalUrl":"https://jobsearcher.com/jobs/d05158d701dc13addfd9a07a","title":"Software Engineer - Data Platform","description":"About Us\nAt MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.\nFounded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day.\nWhy Join Now\nWhile traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.\nAs an early Software Engineer at MAI, you won't just be writing code; you'll be the architect of the entire ecosystem where our AI agents live, learn, and operate. You will have a profound impact across our entire stack, from the foundational data platforms that feed our agents, to the core agentic frameworks that allow them to reason, to the scalable serving systems that deliver their intelligence to our customers. This is a rare opportunity to build a truly AI-native product from the ground up and solve problems at the forefront of the industry.\nYou won't just be a cog in a large machine. You'll be an athlete on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We're in the early days of forming three core teams:\nProduct Engineering & Infrastructure\nAI Platform & Foundation\nAgent Application & Quality\nYou'll have the unique chance to learn and grow your skillset as these teams evolve. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming a more well-rounded engineer.\n\nWhat You’ll Do\nOwn and evolve the company’s data platform, covering both batch and streaming pipelines to ensure scalability, reliability, and performance.\nDesign, 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).\nDefine and standardize core data models, base tables, and schemas to ensure consistency, usability, and accuracy across analytics and ML applications.\nImplement strong data governance, access control, and security practices to protect sensitive business and customer information.\nOptimize data storage, retrieval, and query performance across large-scale datasets.\nPartner with ML engineers, marketing ops, and product teams to ensure data availability and quality for analytics, experimentation, and production use cases.\nBuild and maintain real-time data streaming infrastructure to power event-driven systems and business insights.\nDevelop monitoring, alerting, and validation frameworks to guarantee data accuracy and pipeline reliability.\nContribute to documentation, knowledge sharing, and best practices for the data platform.\nWhat You'll Bring\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or related fields.\nStrong experience with data pipelines (batch and/or streaming) using modern frameworks (e.g., Spark, Beam, Flink, Kafka, Pub/Sub).\nProficiency with SQL and experience designing data schemas for analytical and operational use cases.\nHands-on experience with data warehouses and data lakes (e.g., BigQuery, Snowflake, Redshift, or similar).\nFamiliarity with integrating data from third-party APIs and marketing/ad platforms.\nStrong programming skills in Python, Java, or Scala for data engineering workflows.\nSolid understanding of data security, compliance, and governance practices.\nExperience working with cloud platforms (GCP, AWS, or Azure).\nStrong problem-solving skills and ability to translate business requirements into scalable data solutions.\nBonus points for experience in any of the following:\nHands-on experience with real-time streaming systems and event-driven architectures.\nKnowledge of workflow orchestration tools (e.g., Airflow).\nFamiliarity with distributed storage systems (e.g., Bigtable, HBase, Cassandra).\nExperience implementing data quality frameworks, lineage tracking, and metadata management.\nBackground in building marketing data pipelines, particularly with GAQL, Ads APIs, or similar query languages.\nExposure to ML feature store design or supporting ML-driven applications.\nContributions to open-source data engineering projects.\nWhy You’ll Love Working at MAI\nUnparalleled Learning: You'll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.\nHigh Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, our culture, and the success of our customers.\nA Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.\nTrue Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales.\nCompensation and Benefits\nWe're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:\nSalary: Depending on your years of experience, a base salary range of $160,000 to $225,000.\nEquity: We want you to feel invested in our mission, which is why we offer meaningful equity.\nHealth and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.\n401(k): We'll help you build for your future with a competitive 401(k) program.\nAre you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.\nCompensation Range: $160K - $225K","company":"Mai","rawCompany":"mai","city":"Mountain View","state":"HI","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:14:51.083Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - Data Platform","description":"About Us\nAt MAI (pronounced “my”), we're on a mission to democratize advanced advertising technology. We believe that cutting-edge marketing tools, once exclusive to large enterprises with massive budgets, should be accessible to everyone. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid-sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.\nFounded by ad platform veterans from Google and Instacart, we've successfully raised a $25 million Seed funding round led by Kleiner Perkins to accelerate our growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day.\nWhy Join Now\nWhile traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier—and we're writing the manual.\nAs an early Software Engineer at MAI, you won't just be writing code; you'll be the architect of the entire ecosystem where our AI agents live, learn, and operate. You will have a profound impact across our entire stack, from the foundational data platforms that feed our agents, to the core agentic frameworks that allow them to reason, to the scalable serving systems that deliver their intelligence to our customers. This is a rare opportunity to build a truly AI-native product from the ground up and solve problems at the forefront of the industry.\nYou won't just be a cog in a large machine. You'll be an athlete on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We're in the early days of forming three core teams:\nProduct Engineering & Infrastructure\nAI Platform & Foundation\nAgent Application & Quality\nYou'll have the unique chance to learn and grow your skillset as these teams evolve. We encourage you to lean on your specializations while taking on new projects you've never done before, learning from your peers and becoming a more well-rounded engineer.\n\nWhat You’ll Do\nOwn and evolve the company’s data platform, covering both batch and streaming pipelines to ensure scalability, reliability, and performance.\nDesign, 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).\nDefine and standardize core data models, base tables, and schemas to ensure consistency, usability, and accuracy across analytics and ML applications.\nImplement strong data governance, access control, and security practices to protect sensitive business and customer information.\nOptimize data storage, retrieval, and query performance across large-scale datasets.\nPartner with ML engineers, marketing ops, and product teams to ensure data availability and quality for analytics, experimentation, and production use cases.\nBuild and maintain real-time data streaming infrastructure to power event-driven systems and business insights.\nDevelop monitoring, alerting, and validation frameworks to guarantee data accuracy and pipeline reliability.\nContribute to documentation, knowledge sharing, and best practices for the data platform.\nWhat You'll Bring\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science or related fields.\nStrong experience with data pipelines (batch and/or streaming) using modern frameworks (e.g., Spark, Beam, Flink, Kafka, Pub/Sub).\nProficiency with SQL and experience designing data schemas for analytical and operational use cases.\nHands-on experience with data warehouses and data lakes (e.g., BigQuery, Snowflake, Redshift, or similar).\nFamiliarity with integrating data from third-party APIs and marketing/ad platforms.\nStrong programming skills in Python, Java, or Scala for data engineering workflows.\nSolid understanding of data security, compliance, and governance practices.\nExperience working with cloud platforms (GCP, AWS, or Azure).\nStrong problem-solving skills and ability to translate business requirements into scalable data solutions.\nBonus points for experience in any of the following:\nHands-on experience with real-time streaming systems and event-driven architectures.\nKnowledge of workflow orchestration tools (e.g., Airflow).\nFamiliarity with distributed storage systems (e.g., Bigtable, HBase, Cassandra).\nExperience implementing data quality frameworks, lineage tracking, and metadata management.\nBackground in building marketing data pipelines, particularly with GAQL, Ads APIs, or similar query languages.\nExposure to ML feature store design or supporting ML-driven applications.\nContributions to open-source data engineering projects.\nWhy You’ll Love Working at MAI\nUnparalleled Learning: You'll be at the forefront of AI engineering, solving novel challenges in building scalable, reliable systems for autonomous agents and LLMs.\nHigh Impact: As an early member of a lean and powerful team, your work will directly shape our core platform, our culture, and the success of our customers.\nA Culture of Curiosity: We're a tight-knit team of passionate builders who value transparency, first-principles thinking, and a relentless drive to solve hard problems together.\nTrue Ownership: We believe in empowering our team. You'll have significant autonomy over your work and a clear path for growth as the company scales.\nCompensation and Benefits\nWe're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:\nSalary: Depending on your years of experience, a base salary range of $160,000 to $225,000.\nEquity: We want you to feel invested in our mission, which is why we offer meaningful equity.\nHealth and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.\n401(k): We'll help you build for your future with a competitive 401(k) program.\nAre you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.\nCompensation Range: $160K - $225K","datePosted":"2026-08-06T13:14:51.083Z","dateModified":"2026-08-06T13:14:51.083Z","hiringOrganization":{"@type":"Organization","name":"Mai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"HI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d05158d701dc13addfd9a07a"},"url":"https://jobsearcher.com/jobs/d05158d701dc13addfd9a07a"}}