The posting
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
We're hiring a Data Solution Engineer to join our DSI team in Singapore and serve clients across APJ. You'll combine client-facing polish, a curious, problem-solving mindset and technical fluency to help enterprise, investor and technology clients turn Similarweb data into an edge.
You'll partner with Go to Market, Research and Development, and client-side stakeholders, from analysts and portfolio managers to data sourcing teams, quants and senior technical leaders. You'll act as a trusted advisor on how our data can answer business and investment questions. The role works across divisions, and experience in the Investor vertical is highly advantageous.
What you'll do
- Run discovery with clients across APJ and turn ambiguous business or investment questions into clear data use cases.
- Present findings, demos and use-case narratives to enterprise and investor audiences
- Partner with Enterprise Sales and Account Managers to qualify opportunities, shape solutions and support expansion.
- Consult with clients on how Similarweb data can power AI agents and agentic workflows, and help design and prototype them.
- Generate and deliver data samples and proofs of concept tailored to client use cases.
- Write clear briefs for technical and R&D teams explaining what needs to be built and why.
- Build working knowledge of Similarweb's core data assets and how they are delivered (APIs, cloud storage, modern data stacks), so you can advise clients with confidence.
- Create reusable demos, templates and playbooks for use across APJ teams.
- Feed client insights and gaps back to Product and R&D on metrics, datasets and integrations.
What you'll bring
- Minimum 5 years' professional experience in a client-facing, analytical or advisory role. Examples include data or alternative data vendors, investment or equity research, consulting, pre-sales, or strategy.
- Fluent English, written and spoken
- Experience generating and delivering data samples or proofs of concept to clients or internal stakeholders.
- Strong communication skills: you can run a discovery call and present with confidence to demanding audiences.
- A curious, problem-solving mindset and a genuine interest in data and what it can reveal.
- Good project and stakeholder management, including coordinating across teams and managing timelines.
- An AI-first mindset: you already use AI tools and want to build your skills further.
- Comfort with technical datasets and enough understanding of APIs and cloud storage to brief technical teams.
Desired skills
- Understanding of data delivery mechanisms, including cloud data pipelines (e.g., Snowflake, Databricks, AWS/GCP), APIs and Model Context Protocol (MCP).
- Hands-on experience building or advising on AI agents or agentic workflows, including LLM context injection and structured data retrieval patterns.
- Hands-on SQL and/or Python.



