AI Analytics Engineer - AI & Analytics Platform

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cloud delivery, modern technology stacks, machine learning, and meticulously crafted native app experiences across all our platforms. Our goal is to provide a seamless streaming experience while pioneering next-generation multi-screen and multi-user playback functionalities. The Importance of Data at Philo Data is at the core of everything we do at Philo. It informs our business strategies, enhances our streaming quality, supports product experiments for optimizing user journeys, and simplifies the process for users to discover the perfect content. With over a billion streams delivered annually, our data generates immense value across the organization. Philo's data platform operates at a massive scale, processing trillions of events each year within a petabyte-scale data lake and facilitating thousands of analytical queries that drive decision-making throughout the company. Our Data Engineering team integrates both data engineering and analytics engineering. As a Senior Analytics Engineer at Philo, you will lead the data modeling layer that transforms raw event and application data into reliable, clean data products that the entire company depends on—ranging from metric definitions and dimensional models to a governed semantic layer ensuring consistent metrics for all. You will collaborate closely with data scientists, analysts, and business stakeholders to comprehend their analytical needs and translate them into well-structured, well-documented, and efficient data products using dbt and Snowflake. We are dedicated to delivering a high-quality, trustworthy data platform for the entire organization, employing both cutting-edge technologies and established engineering practices in close cooperation with all departments. Our analytics engineering stack is centered around dbt and Snowflake, enhanced by tools such as Segment, Avo, and BigEye, which facilitate event tracking, data quality, and observability. Recent projects undertaken by our analytics engineers include the development of new models for vital financial data, dbt model design and refactoring, metric definition and governance, cost optimization per query in Snowflake, and the establishment of data quality testing and documentation frameworks. About the Role We are seeking a Senior Analytics Engineer to take ownership of our analytics initiatives...

Join Philo in Shaping the Future of TelevisionAt Philo, we are revolutionizing the television experience, enabling viewers to enjoy their favorite shows seamlessly across devices, with intuitive discovery features and effortless sharing options. We're committed to creating the TV experience we've all longed for.Our team values people—both subscribers and employees. We empower our colleagues to excel in their roles while fostering a culture of collaboration towards common objectives. We prioritize transparency, pragmatism, and passion, ensuring everyone feels valued and supported.Diversity and inclusion are cornerstones of our hiring philosophy. We believe that a variety of voices enhances innovation and ultimately leads to a superior experience for our subscribers.Based in San Francisco, with additional offices in Brooklyn and Cambridge, Philo is backed by industry leaders, including HBO, Tubi, and Warner Brothers Discovery. Our leadership team brings extensive experience from top-tier companies.About the RoleAs a Lead Backend Software Engineer on the Product API team, you will play a crucial role in connecting users with their favorite shows, facilitating the discovery of new content, and enhancing their viewing experience. Your contributions will impact millions of users across web, mobile, and connected TV platforms.In this role, you will develop and maintain the Philo show catalog, manage search functionalities, implement machine learning-powered recommendations, and handle platform integrations (e.g., Roku, FireTV). You will design robust APIs for client platforms to access our catalog while ensuring seamless features like show saving, notifications, and experimental runs. Your responsibility will also include scaling the system to handle millions of users, maintaining security and privacy standards, and supporting various client setups through custom frameworks and infrastructure.As a leader, you will set a strong example by shipping features, addressing bugs, overseeing releases, and advocating for code quality across our projects. We're looking for an enthusiastic backend engineer with a solid technical foundation in creating scalable APIs and services.

Join Philo: The Ultimate Streaming Experience for TV and Movie EnthusiastsAt Philo, our technology and product teams are on a mission to revolutionize television. We blend cutting-edge technology with the most captivating medium ever created to craft the TV experience we’ve always desired. Our approach involves utilizing cloud delivery, modern tech stacks, machine learning, and bespoke native app experiences across all platforms. We prioritize delivering a robust streaming experience while innovating future-ready multi-screen and multi-user playback solutions.The Role of Data at PhiloData is at the heart of Philo's operations. It informs our business decisions, enhances our streaming quality, drives product experiments to refine user journeys, and simplifies content discovery for our viewers. With over a billion streams annually, we harness an immense data reservoir that influences every facet of our organization. Our data platform operates on a grand scale, processing trillions of events each year through a petabyte-scale data lake, facilitating thousands of data workflows and analytical queries that guide our strategic direction.We seek innovative individuals for our Data team who are eager to tackle diverse projects related to engagement, content discoverability, experimentation, acquisition, and retention within our streaming service. Collaborating closely with data scientists, analysts, and engineers, you will create and implement solutions directly for our platform. Your work will encompass foundational data platform tasks, including data warehouse architecture, metric governance, and ensuring semantic consistency throughout our data pipeline, as well as insights and modeling efforts that deliver tangible business value. Additionally, you will partner with stakeholders from various departments to understand business requirements, construct reliable data pipelines, and provide actionable insights that empower the entire team to excel.We are driven by a passion for problem-solving and delivering data-driven insights across the company. Our work leverages both innovative techniques and established practices in collaboration with every department. We utilize modern open-source tools such as dbt, GrowthBook, Robyn, Superset, and PyTorch, alongside SaaS solutions like Segment, Redshift, Snowflake, SageMaker, AWS Glue, Mode, Omni, Avo, and BigEye.Recent projects undertaken by our Data Science team include:

At Philo, we are a dedicated team of technology and product enthusiasts committed to reshaping the television landscape. We blend cutting-edge technology with the captivating medium of television to create the ultimate viewing experience. Our mission is to enhance streaming capabilities through innovative cloud delivery and sophisticated machine learning algorithms that personalize content discovery. As a Senior Machine Learning Engineer specializing in Recommendation Systems, you will be at the forefront of our content personalization initiatives, significantly enhancing user engagement and satisfaction. Your expertise will help ensure that every time users open the Philo app, they find something they want to watch. In this pivotal role, you will spearhead the development of advanced algorithms and large-scale systems that drive Philo's recommendation engine. Collaborating closely with data science, product, infrastructure, and backend engineering teams, you will tackle complex machine learning challenges and develop innovative, data-driven solutions that enhance content discovery and foster user retention.

Join Philo: The Ultimate Streaming Experience for TV and Movie Enthusiasts At Philo, we are a dedicated team of technology and product professionals who are reshaping the future of television. Our mission is to combine cutting-edge technology with the art of storytelling, creating an unparalleled TV experience that we’ve always dreamed of. This involves utilizing cloud delivery, state-of-the-art tech stacks, machine learning, and personalized native app experiences across all platforms. We strive to provide a seamless streaming experience while innovating next-generation multi-screen and multi-user playback capabilities. Data: The Heart of Philo Data is at the core of our operations at Philo. It informs our business strategies, enhances our streaming quality, enables product testing to optimize user experiences, and simplifies content discovery for our viewers. With over a billion streams annually, we generate a vast amount of data that drives insights at every organizational level. Our data platform supports trillions of events each year within a petabyte-scale data lake, facilitating thousands of data workflows and analytical queries that empower our decision-making processes. As the Head of Data Engineering, you will oversee both data and analytics engineering teams, tackling complex data infrastructure and modeling challenges that are vital for our streaming services. You will collaborate closely with data scientists, analysts, and engineers to design and implement solutions that enhance our services. This role encompasses foundational elements like data warehouse architecture, metric governance, and semantic consistency across our data ecosystem. Furthermore, you will liaise with various departments to understand their data requirements and deliver high-performance, dependable data systems that foster team success. We are passionate about creating robust, scalable data infrastructures while providing a high-quality data platform for the organization. Our tech stack includes cutting-edge tools such as AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, and BigEye. Recent projects have included developing models for critical financial data, dbt model design, upgrades and maintenance of our data warehouse clusters, and optimizing infrastructure costs per query. If you are excited about leveraging data to make impactful decisions in a fast-paced environment, we want to hear from you!

Role Overview Okta is looking for a Senior Analytics Engineer to help shape data-driven decisions across the company. This role focuses on designing and building analytics solutions, improving data architecture, and working with teams from different functions to uncover insights from complex datasets. What You Will Do Design and implement analytics solutions that support business goals Collaborate with colleagues across departments to identify and extract meaningful insights from large data sets Enhance and maintain the company’s data architecture to ensure reliability and scalability About Okta Okta delivers identity management solutions for organizations worldwide. Your work as a Senior Analytics Engineer will help support Okta’s mission to provide secure, seamless access for users everywhere. Locations Bellevue, Washington Chicago, Illinois San Francisco, California

About AirGarageAt AirGarage, we are revolutionizing the way real estate operates online, starting with the parking sector. Our mission is to replace outdated parking machines and fragmented software with an innovative, data-driven operating system designed specifically for parking real estate.We manage all aspects of parking asset optimization: from payments and dynamic pricing to enforcement, license plate recognition, and comprehensive analytics. By developing our technology in-house, we ensure an exceptional experience for drivers, while providing real estate owners with unprecedented real-time visibility and revenue growth potential of 20-50% or more.AirGarage collaborates with national real estate leaders like Hines and Greystar, along with tech giants such as Meta, to enhance their parking facilities. Our cutting-edge solutions utilize data points, including real-time occupancy rates, local events, weather conditions, driver behavior, and competitor pricing, to provide genuine intelligence to real estate owners.We are committed to making the physical world comprehensible for digital systems through the integration of cameras, sensors, and software that generate vast amounts of real-time data. This data drives advanced models and algorithms that optimize performance for every property, granting owners clarity and control like never before.With the $131 billion U.S. parking real estate market as our starting point, we aim to address one of the most offline and mismanaged segments of commercial real estate, where 26% of urban land is devoted to parking.Supported by prominent investors, including Headline Growth, Andreessen Horowitz, Floodgate, and others, AirGarage is staffed by a team that includes veterans from leading companies like Uber, Opendoor, and Flexport.

About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.

Join Gusto as a GTM Analytics Engineer and play a pivotal role in driving our analytics initiatives. As a part of our team, you will develop and maintain robust analytics frameworks that empower data-driven decision-making within our go-to-market strategies. You will collaborate closely with cross-functional teams to ensure the accuracy and accessibility of data, while also identifying opportunities for continuous improvement.

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

Earnest builds borrowing solutions that help people take control of their financial futures. The Analytics Engineer II role supports this mission by improving how data is modeled, organized, and delivered across the company. Role overview This position reports to the Senior Manager of Data Platforms and Analytics Engineering. The Analytics Engineer II works closely with Product, Risk, and Analytics teams to ensure data is accessible, reliable, and structured for confident decision-making. What you will do Design and refine data models to support faster and more dependable decisions across multiple business teams. Remove data bottlenecks by providing clean, scalable datasets that analysts can use independently. Support both planned projects and urgent requests, helping business teams operate smoothly. Improve data quality and organization to enable effective analysis and the launch of new products or features. Requirements At least 3 years of experience in analytics engineering, data engineering, or a related field. Strong SQL skills and experience building data models that align with business needs. Familiarity with dbt and modern data warehouse solutions such as Snowflake or Redshift. Ability to collaborate across teams and translate complex data into actionable insights. Curious, proactive, and motivated to solve problems beyond assigned tasks. Preferred qualifications Experience with orchestration tools like Airflow or similar platforms. Background in fintech, product analytics, or high-growth companies. Location This is a remote role based in the United States. Earnest's headquarters are in San Francisco, CA.

About SentryAt Sentry, we are determined to eradicate bad software. Our mission is to empower developers to create superior software more efficiently, allowing us all to enjoy technology again.With over $217 million in funding and a community of more than 100,000 organizations, including industry leaders like Disney, Microsoft, and Atlassian, we are crafting performance and error monitoring tools that enable teams to focus on building innovative products rather than squashing bugs.Embracing a hybrid work model, Sentry encourages collaboration by designating Mondays, Tuesdays, and Thursdays as in-office days across our global hubs. If you're passionate about creating tools that enhance the digital experience, we invite you to join us in building the future of software monitoring.About the RoleAs a member of our Event Analytics Platform (EAP) team, you will be at the forefront of developing the infrastructure that supports Sentry’s capabilities to handle time-series data and search functionalities across billions of events with remarkable speed. This initiative includes our innovative Snuba system, which acts as the primary storage and query service fueled by ClickHouse.In this role, you will expand the data visibility at Sentry by enhancing our search infrastructure, developing new capabilities atop our advanced storage solutions, and boosting the performance and integrity of our core data services. You will play a key role in shaping the technical vision of our Infrastructure team and collaborate closely with Product and Engineering teams to transform that vision into reality.If you are eager to tackle the complexities of scaling event data into the petabyte range, this opportunity is ideal for you.Key Responsibilities:Enhance EAP's capabilities to deliver data with exceptional speed and reliability.Design and automate systems and services to ensure reliable scaling amidst rising demand.Evaluate architectural decisions that harmonize product goals with engineering limitations.Promote and uphold high code quality standards through regular code reviews and contributions to design discussions.Lead the development of innovative data solutions to enhance user insights.

Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...

Join Mercury as a Senior Analyst focusing on Compensation and People Analytics. In this pivotal role, you will leverage data to understand compensation trends and provide insights that drive strategic decision-making. Your analytical skills will help shape our talent management strategies, ensuring our workforce is both competitive and engaged.

At Perplexity, we believe in harnessing the power of AI to exceed expectations. This role is pivotal in ensuring our data team embodies that philosophy, placing AI at the core of our operations.We seek an exceptional individual with a strong background as a data scientist, analytics engineer, or data engineer. You are the type of professional who understands which metrics hold true significance, can design insightful A/B tests, and delve into data models to uncover discrepancies. Importantly, you recognize that your highest impact opportunity lies in creating AI systems that revolutionize the practice of data science.This is not about developing another text-to-SQL bot or merely producing another dashboard. Instead, you'll create AI agents capable of performing comprehensive analyses autonomously – generating hypotheses, executing queries, interpreting outcomes, and crafting actionable recommendations. Your work will ensure that our entire data warehouse is AI-accessible, enabling any system to query it with precision. You'll engineer self-correcting pipelines that identify and resolve data issues proactively. Your contributions will empower a lean data team to operate with the efficiency of a much larger organization.Join a forward-thinking data team that already integrates AI into its processes, yet recognizes the vast potential that lies ahead. With full support from leadership, we are committed to transforming our initial efforts into a world-class framework: scalable systems, innovative tools, and an AI-first approach that not only elevates our status but also propels the industry forward.What You'll DoEnhance the AI-driven data workflow - Building on existing successes, you will establish repeatable systems and scalable tools that the data team and the broader organization can adopt.Create AI agents for data science - Your focus will be on developing agents that not only handle SQL inquiries but also manage end-to-end analyses: exploring data, formulating hypotheses, executing queries, interpreting results, and delivering actionable insights.Make the data warehouse AI-friendly - Design the semantic layers, context, and retrieval systems that enable any AI platform (internal or external) to query Perplexity's data effectively and reliably.Automate the data lifecycle - Implement self-healing pipelines, automated dbt model creation and validation, and data quality agents that autonomously detect and resolve issues.Deliver AI-enhanced experiment analysis - Develop agents capable of interpreting A/B test results, identifying statistical anomalies, and providing thoughtful insights.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.

At Discord, we are at the heart of gaming culture, connecting over 200 million users each month who come together to play video games. With over 90% of our community engaged in gaming, they spend a staggering 1.5 billion hours each month immersed in thousands of unique titles. As we continue to innovate, we strive to enhance the gaming experience by facilitating seamless communication and interaction before, during, and after gameplay.We are seeking dedicated and skilled Senior Data Engineers to join our dynamic Data team. Our data infrastructure is pivotal in driving insights across the organization, and we need passionate individuals who can construct foundational datasets and pipelines that empower data-driven decision-making at scale. In this role, you will develop the analytical framework that supports product development, experimentation, and machine learning initiatives, ultimately enhancing user experiences on Discord.As a Data Engineer at Discord, you will collaborate closely with data science and engineering teams to build and maintain high-leverage datasets that fuel tools, analyses, and models. The datasets you create will inform our strategies for identifying opportunities, measuring success, and making critical decisions. We are hiring across several verticals, including Engagement, Growth, and Safety. If you are excited about designing elegant data systems that deliver insights to millions of users, we want to hear from you!