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Data Engineer

Data Engineer (Growth) at daydream

✍🏻 About daydream

daydream is a platform that automates programmatic SEO, end-to-end.

***This role is fully in-person in San Francisco. No remote work!***

The platform helps businesses identify search patterns, creates content at scale, and automatically improves that content.

We've raised $6.2M from leading investors like First Round Capital, Basis Set Ventures, WndrCo, SOMA Capital and current and former Heads of Growth at companies like Notion, Airtable, Webflow and Dropbox as well as notable angels like Lenny Rachitsky and Eli Schwartz, Author of Product-Led SEO. Our customers include Descript, Clay, Beacons and a host of other venture-backed companies.

We're on a high-growth trajectory and we're looking for people who want to join us on the journey to building a billion-dollar company. Our team previously worked together at Flixed, a startup we bootstrapped to $2M+ in revenue almost purely on the back of programmatic SEO.

More reading:

🔧 The Problem we’re trying to solve

Heads of Growth love programmatic SEO. It’s the secret growth playbook used by companies like Zapier, Canva, to acquire millions of visitors. The problem is, building a pSEO engine currently requires work from SEO analysts, content marketers, software engineers, data scientists and others. As a result, it’s logistically complicated and expensive. You can hire specialized agencies, but they cost $50K+ per month.

🧑‍💻 How we’re solving this problem

daydream is building a SaaS platform that automates every piece of building a programmatic SEO engine. Everything from identifying search queries, to producing 90th percentile quality content at scale, all the way to automatically updating that content.

🪴 Why we’re hiring

Demand for daydream is growing fast as our ARR continues to increase rapidly each month since the inception of our company, all before launching a generally available product. This is exciting, but it also means we need to hire to build product faster and meet the demand. We’re looking for a talent that’s excited to work with LLMs to serve one of the biggest markets in the world.

👋🏻 The People and Environment

Here are three key elements of our culture:

  • Push the pace

    • No sandbagging allowed! Everyone at daydream is expected to proactively identify when a particular goal can be met faster, and to push for acceleration.

    • A real example of how this value has been applied — we initially thought we would hit a certain revenue milestone within 1 year. We realized we can do it in half the time, so we shortened our timeline to hit that goal to 5 months instead.

  • Build something you’re proud of

    • Speed of execution is important, but only if it’s in service of delivering a delightful experience to the customer. We want you to look back at what you’ve built at daydream and feel a deep sense of satisfaction.

    • A real example of how this value has been applied — In the past, we’ve prioritized “wowing” the customer at each release of daydream, even at the earliest phases. Speed is no excuse for delivering a poor experience.

  • Five star customer service only

    • The bar for customer service at daydream is always exceeding the customer’s expectations. It is not “meeting” the customer’s expectations.

    • A real example of how this value has been applied — We’ve had situations where the customer is unintentionally moving slower than is possible with their SEO strategy. In these situations, we’ve proactively encouraged the customer to move faster.

🤝 The people you’ll be working with

Thenuka (CEO and co-founder): Thenuka was previously the founder and CEO at Flixed, which he bootstrapped to $2M+ in revenue almost exclusively using programmatic SEO. Prior to that he was an Entrepreneur-in-Residence at Hustle Fund and Chief of Staff to the COO at Pango, a cybersecurity company with $100M+ in annual revenue.

Shravan (CTO and co-founder): Shravan was previously an Engineering Lead at Flixed. Before that, Shravan worked as a Software Engineer at Meta for three years, where he worked on mass-scale web scraping for Facebooks’ Jobs product, and Meta Reality Labs.

Nico (Growth Lead): When Nico is not working on daydream, he's writing for his newsletter, Failory, where he explores the reasons why startups fail. He started Failory when he was 15 years old and has since grown it to 40k subscribers.

Devin (Operations Lead): Before daydream, Devin worked at an education startup called buildspace, an online alternative learning platform for people to work on their ideas they loved. There, he focused on building the community by helping produce and manage social media content, as well as hold in-person events across the world.

📝 What we're looking for

Required

  • Experience in web automation and data scraping.

  • A strong work ethic, beginner's mind, and desire to learn quickly.

  • Neat, organized, and punctual adherence to deadlines.

  • A positive attitude and shared sense of camaraderie.

Ideal

  • Experience specializing in SEO is preferred but not required.

👷🏻‍♀️ What you’ll be doing here

You’ll play a key role in building the foundation of our data-driven approach to programmatic SEO, working closely with customers and internal teams to create scalable, high-quality datasets.

Ownership Areas

  • Creative data collection: Identify and leverage APIs, web scraping techniques, and other automation methods to gather structured data that powers our programmatic SEO strategies.

  • Data cleaning & normalization: Ensure data accuracy by cleaning, deduplicating, and structuring datasets in a way that makes them usable.

  • Automation & efficiency: Develop reusable scripts and workflows to automate repetitive data collection and processing tasks, improving efficiency and scalability.

1 month

  • Build context: Get to know our team, our customers, and the role data plays in driving our programmatic SEO strategies.

  • Learn the product: Develop a deep understanding of how our product is used to scale data-driven content strategies.

  • Begin data collection: Start identifying key datasets, experimenting with API connections, and setting up early-stage scraping workflows.

3 months

  • Expand data collection capabilities: Identify new data sources and collaborate with customers and internal team to collect and structure data relevant to the different pSEO strategies.

  • Refine & automate workflows: Develop reusable scripts and processes to streamline data collection, cleaning, and normalization.

  • Collaborate on new use cases: Work with engineering and growth teams to explore additional ways data can drive innovation and efficiency across our platform.

6-9 months

  • Support new hires: As a fast growing company, we will likely expand our team further in 6-9 months. You’ll help onboard new hires and help them get up to speed with daydream.

🏦 Compensation

The compensation for this role is $110-$140K per year + generous equity in daydream. We usually prefer to have a full-time or part-time contract period before going straight to a full-time W-2 role.

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$110000K
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What You Should Know About Data Engineer, Daydream

Join Daydream as a Data Engineer (Growth) and become a key player in revolutionizing programmatic SEO. Based in vibrant San Francisco, this full-time, in-person role invites you to help build a SaaS platform designed to automate SEO processes that typically require extensive manpower. Here at Daydream, we empower businesses by automating everything from identifying search patterns to creating and updating content efficiently. With $6.2M raised from notable investors and a rapid growth trajectory, we need innovative minds like yours to drive our projects forward. As a Data Engineer, you'll creatively collect data, utilize web scraping techniques, and develop automated workflows that improve efficiency. Collaboration is key, as you'll work closely with both our engineering and growth teams to refine data solutions tailored to our evolving needs. We value a strong work ethic and a communal spirit—qualities that are central to our thriving culture. You will also get the chance to learn from industry veterans who bring a wealth of expertise and passion to their work. If you have experience in web automation and a knack for data accuracy, come and contribute to a platform that’s making waves in the industry. Together, let’s aim high and build something remarkable that customers love!

Frequently Asked Questions (FAQs) for Data Engineer Role at Daydream
What are the main responsibilities of a Data Engineer at Daydream?

As a Data Engineer at Daydream, your primary responsibilities will include creative data collection through APIs and web scraping, ensuring data accuracy via cleaning and normalization, and developing automated workflows for repetitive tasks. You'll collaborate with growth and engineering teams to drive efficiency and support our programmatic SEO strategies.

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What qualifications do I need to apply for the Data Engineer position at Daydream?

To excel as a Data Engineer at Daydream, you should have experience in web automation and data scraping, coupled with a positive attitude and a strong work ethic. While specialization in SEO is preferred, it's not mandatory, making this an inclusive opportunity for those eager to learn and grow.

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What can I expect in terms of career growth as a Data Engineer at Daydream?

At Daydream, as a Data Engineer, you can anticipate significant growth opportunities. You’ll start by building relationships with our team and understanding our product, and as the company expands, you will play a role in onboarding new hires. Your expertise will help shape strategies that propel us to achieve our ambitious goals, paving the way for your professional development.

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What is the company culture like for a Data Engineer at Daydream?

Daydream fosters a dynamic and collaborative culture where pushing the pace and exceeding customer expectations are paramount. Here, you’ll be inspired to build something you’re proud of while being part of a relatable and cooperative environment that celebrates innovation and continuous improvement.

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Are there remote work options for the Data Engineer role at Daydream?

The Data Engineer (Growth) position at Daydream is strictly an in-person role located in San Francisco. We believe that collaboration happens best face-to-face, and being part of our energetic workplace will enhance your professional experience.

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Common Interview Questions for Data Engineer
What experience do you have with data scraping and web automation?

When answering, highlight specific projects where you've utilized web scraping or automation tools. Discuss the techniques you used and any challenges you encountered, demonstrating your problem-solving abilities and technical skills.

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How do you ensure data accuracy in your work?

Explain your methodologies for data cleaning and validation. Discuss tools you’ve used and the importance of maintaining data integrity, showcasing your commitment to high-quality work.

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Can you describe a challenging problem you faced in your previous data projects?

Choose a specific example that illustrates your analytical thinking and ability to overcome obstacles. Describe the situation, the actions you took, and the positive outcomes that followed, highlighting your growth as a Data Engineer.

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How do you prioritize tasks when managing multiple data collection projects?

Discuss your organizational strategies, such as using project management tools or setting clear priorities based on project timelines and impact. Show how you remain flexible to accommodate urgent needs while meeting deadlines.

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What tools and technologies are you most comfortable working with in data engineering?

Outline the programming languages, database technologies, and data processing frameworks you're experienced in. Emphasize how these tools can add value to Daydream's data strategies.

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How do you handle tight deadlines while maintaining data quality?

Discuss your time management skills and any frameworks you use to ensure both quality and efficiency. Illustrate with examples of past experiences where you had to balance these demands successfully.

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What strategies do you use for regular maintenance of data processes?

Reveal your understanding of the importance of operational efficiency. Describe your approach for monitoring data pipelines, scheduling regular checks, and updating scripts to minimize issues and optimize performance.

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Can you provide an example of a successful collaboration with a cross-functional team?

Employ a scenario where collaboration was vital to success, detailing how you communicated effectively, shared knowledge, or resolved conflicts, leading to a successful outcome that benefited the entire team.

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What motivates you to work in the field of data engineering?

Share your passion for data and technology, explaining how you enjoy solving complex problems and driving business insights through data. Highlight the impact you hope to make, particularly in programmatic SEO and its growing importance.

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Why do you want to work at Daydream as a Data Engineer?

Focus on Daydream's innovative approach to programmatic SEO and their mission to simplify it for businesses. Express enthusiasm for being part of a rapidly growing company and your eagerness to contribute to a product that empowers clients.

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