About Nas.com Nas.com is building two complementary AI products around one idea: AI should do the work required to grow a business, not only answer questions. Nas.com helps entrepreneurs launch and grow an online business from one platform, from creating a storefront and marketing content to reaching customers and accepting payments globally. Agents.nas.com is our AI agents platform for marketing teams. It connects advertising, social media, CRM, content, analytics, and transaction data into a company-specific marketing brain. Our agents monitor signals, build specialized knowledge about each business, turn data into insights and analysis, and execute marketing work 24/7 so important opportunities are not missed. Together, these products help entrepreneurs and marketing teams turn AI into business growth. We have raised US$50 million in total, including a recent round led by leading Silicon Valley investors, including Khosla Ventures and 500 Global. Our Singapore-based team builds for customers worldwide. The Role We're looking for a Founding Data Engineer to take end-to-end ownership of our data platform. We already have production pipelines, data models, and a data warehouse. They have grown with the company, but parts of the system need stronger ownership, reliability, and technical direction. You will inherit what exists, understand it deeply, stabilize what is working, fix what is not, and rebuild components where necessary. This is a founding role not because you are starting from a blank page, but because you will define the next generation of our data platform. High-quality, well-connected data is fundamental to how we run the company and to the AI products we are building. What You'll Do Own and evolve the data platform. Take end-to-end responsibility for its architecture, pipelines, quality, reliability, performance, cost, maintainability, and long-term direction. Connect product, transaction, analytics, CRM, financial, advertising, social media, and other operational data to the warehouse and downstream products, making pragmatic decisions as the company grows. Model the business clearly. Design reusable data models and metrics that help us understand company performance, product usage, customer behavior, and growth. Make data useful. Help Product, Finance, Operations, Engineering, leadership, analysts, and AI systems access the right data and use it confidently. Build customer-facing data products. Turn Nas.com data into useful dashboards and insights for entrepreneurs, and build the context layer that helps our agents understand each customer's data, performance, and business model. Go beyond fulfilling requests. Investigate the business behind the data, identify opportunities, challenge assumptions, and help teams make better decisions. Who You Are You have strong data engineering fundamentals and experience building and operating production systems. More importantly: You have 5+ years of hands-on experience in data engineering or a closely related engineering role. You have built, rebuilt, or substantially redesigned production data infrastructure, ideally in a startup or similarly fast-moving environment. You have strong fundamentals in data modeling and production data systems. You make pragmatic technology choices and take responsibility for quality, reliability, usability, cost, complexity, and long-term maintenance. You can take a broad, messy problem, investigate unfamiliar systems, create structure, and own it through to a working outcome. You use AI throughout your engineering workflow to investigate, build, document, debug, and learn, while exercising judgment about its output. You communicate clearly with technical and non-technical stakeholders and are curious about the business behind the data. Bonus Points You do not need all of these. We are especially interested if you have experience with: AWS, MongoDB, BigQuery, dbt, Google Analytics, or advertising-platform data. Building data products or serving trusted context to AI- or agent-powered systems. Building customer-facing data products, dashboards, or insights, and working directly with customers to understand their data and business. Software engineering, analytics engineering, or working as a data analyst. Fast-growing startups where you owned systems beyond a narrowly defined data pipeline. Why Join Us You will have genuine ownership of a company-wide platform, direct access to leadership, and the mandate to shape how Nas.com uses data at a critical stage of growth. You will not be optimizing one small part of a mature system. You will understand the business, make technical decisions, and build the trusted data foundation behind both company decisions and AI products used by real customers. Our culture is different from a typical software company. We grew from content creation, so we combine engineering rigor with storytelling, speed, experimentation, and a desire to make things people care about. The team shares ownership and passion for the company's success. You grow quickly, build close friendships, and find meaning in creating something ambitious together. What We Offer A competitive package with stock options. A hybrid working environment. Self-care and mental-health funds. Company lunches and a monthly SGD 250 Grab allowance. Yearly company retreats where the whole team spends meaningful time together. If you want to own a data platform end to end and use trusted data to improve both a fast-growing business and its AI products, we'd love to hear from you.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.