Founding Data Engineer (Staff / Principal)

Everyday Agents

Everyday Agents

This job is no longer accepting applications

See open jobs at Everyday Agents.
Data Science
San Francisco, CA, USA
Posted on Tuesday, January 9, 2024

About Everyday Agents

Consumer Travel is Ripe for Disruption

Today's travelers are seeking personalized, immersive, and authentic experiences that reflect their unique tastes and interests. They want to be inspired, to feel the thrill of discovery, and to seamlessly benefit from technology throughout their journeys. 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 intuitively understands your preferences, assists in uncovering stays, activities, and dining options, and supports travelers throughout their journey, from exploring potential destinations to accommodating last-minute changes during a trip. 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.

Market Opportunity

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.

Why Everyday Agents?

Everyday Agents' ability to execute this vision is underpinned by an experienced founding team and investors with highly-relevant expertise. 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. Your primary responsibilities will include:

  • 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.

This role merges technical expertise, strategic vision, and a dedication to team collaboration. Join us, and channel your passion for technology into transformative solutions for the world.

Desired Qualifications

  • 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.

Bonus Experience

  • Strong familiarity with machine learning and AI concepts

  • Built scalable and robust infrastructure for generative AI systems

  • Building and maturing Data Engineering teams and infrastructure in a startup environment

Total compensation & pay transparency

The compensation package for this role is meant to align with top Series-A companies and includes:

  • 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

  • Health Benefits: Comprehensive health, dental, and vision insurance for you and your dependents

Our Team

On our team we have:

  • Three-time entrepreneur and founder/CEO with a history of raising over $100M in funding

  • COO who is a three-time co-founder/founding COO, with a history of raising over $500M in funding

  • 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. We’ve deeply felt the struggles with the modern discovery and trip experience, and started this company with a mission to solve it together!

This job is no longer accepting applications

See open jobs at Everyday Agents.