Data Engineer

Found in: Jooble US O C2 - 2 weeks ago

San Francisco CA, United States Everyday Agents Full time

Consumer Travel is Ripe for Disruption
Yet, the current travel landscape is a maze of disjointed self-serve transactions, often leaving travelers feeling frustrated and unfulfilled. The explosion of travel booking sites is sucking the fun out of getting away, with travelers needing to visit dozens of websites to plan a trip and often needing to resort to time consuming offline strategies. As a result, the joy of travel is often overshadowed by the stress of planning, with travelers spending significantly more time researching a vacation today than just a few years ago.
Our AI-Native Travel Concierge
Introducing Everyday Agents, a stealth startup backed by four top venture funds that is reimagining the way we travel. Everyday Agents is building an AI-powered Travel Concierge (currently in private beta) that simplifies the process of discovering, planning, and booking trips, all in one app. It’s like having a personal travel agent, but better, as it’s affordable, available 24/7, responds within seconds, and is armed with local insights, captivating photos, maps, itineraries, pricing, and availability. By harnessing the latest advancements in Large Language Models (LLMs) and pioneering breakthroughs in Agent Architectures, Everyday Agents is poised to revolutionize the travel industry.
Contributing over 10% to the global GDP, the travel and tourism sector is on the brink of a significant transformation resulting from fundamental shifts in consumer preferences. Newer generations are prioritizing experiences, particularly travel, over material possessions, and the influence of social media is further fueling this trend by inspiring travelers to seek out unique and personalized experiences. As a result, the online travel market, already a $2.3 trillion industry, is projected to grow by more than 10% per year through 2030. With its focus on crafting exquisite, personalized trips, Everyday Agents is well positioned to capitalize on these trends and transform the way we travel.
Our CEO is Jonathan Downey, a three-time AI-startup founder, MIT engineer, and 3rd generation pilot with a lifelong passion for travel. Additional co-founders and founding team members bring decades of expertise in consumer apps and data-driven personalization and include a senior data leader from Stitchfix and the Head of ML from Candidate Labs. The company is backed by former executives from Pinterest, Twitter, and Stitchfix alongside top AI-focused venture funds including SignalFire, Moxxie Ventures, and Fuel Capital.
The Role: Founding Data Engineer
As our Founding Data Engineer at Everyday Agents, you will be central in establishing and managing the data that powers our AI-driven travel concierge application to support personalizing travel experiences. You will play a crucial role in building our data infrastructure and oversee the development and maintenance of our data pipelines and storage solutions. Your expertise will be instrumental in integrating various data sources, including user interactions and travel content, into our platform, ensuring robust and scalable data solutions. Your work will require strategic thinking to ensure that our data infrastructure aligns with the evolving needs of our AI models and business objectives.
In this key position, you will report directly to our co-founder and VP of Data & AI/ML, Cian Menzel-Jones. Designing, building, and maintaining databases and data pipelines for storing and processing information about travel content, user profiles, and interactions.
Overseeing the creation and management of a robust data warehouse, utilizing cloud computing platforms like GCP or AWS, and ensuring the efficient orchestration and workflow of data across the company.
Forging strong relationships with our engineering and machine learning teams to align the data infrastructure seamlessly with our AI solutions, ML models and user interface.
Leading the charge in adopting the latest technologies and practices in data engineering as required, ensuring that our systems are scalable, efficient, and state-of-the-art.
Playing a pivotal role in shaping the strategic direction of our data engineering efforts, ensuring that our infrastructure can support rapid development and deployment of new features and capabilities at scale.
Exceptional coding skills with a requirement for proficiency in Python.
Familiarity with big data technologies like Kafka, Spark, Hive/Iceberg, Postgres, Redis.
Strong background in building and managing large-scale data infrastructures, particularly in a startup or growth-oriented environment.
In-depth knowledge of GCP or AWS, with a focus on data storage, processing services, and orchestration tools.
Proven history of working effectively with cross-functional teams, particularly in translating complex technical requirements into actionable data solutions.
A thorough understanding of the data needs for AI and ML applications, and experience in building infrastructure to support these technologies.
Strong familiarity with machine learning and AI concepts
Building and maturing Data Engineering teams and infrastructure in a startup environment
Cash Compensation:The expected total cash compensation is $180K - $240K
Equity:As a founding data engineer on the team, you will be granted significant ownership in the company
Comprehensive health, dental, and vision insurance for you and your dependents
hands-on engineering leader, and former CTO, with expertise in full stack development, who has built high performing teams over 15 years, and worked for start-ups to Fortune 500 companies
data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains
machine learning expert with 12 years experience working across a range of domains from finance, ad tech and search, with research driving over 500 academic citations
Together we've worked across dozens of different industries, and share a diverse range of backgrounds and interests, that span: computing, theater, skiing, physics, gardening, chess, mathematics, kiteboarding, and travel
Yes - we are all passionate about Travel.

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