Sr Software Engineer

Tech Lead, Customer Analytics

Sinch is pioneering the way the world communicates. More than 150,000 businesses - including Google, Uber, PayPal, Visa, Tinder, and many others - rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email.

Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey.

At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation!

The Role

Our Customer Analytics team builds the APIs and dashboards that give Sinch customers insight into how their communications perform. One of our APIs is already in production, and the next ones need to follow quickly. Increasingly, these APIs and dashboards need to be readable and queryable not only by people, but also by AI agents, both internal and external.

As Tech Lead, Customer Analytics, you will be a hands-on senior full-stack engineer with an architect’s mindset: you will lead the team and write code alongside them. You will join a small Stockholm-based team of two engineers that we plan to grow during 2027, so you will contribute code from day one and may lead a larger team later. You will get our APIs up and running, help the team deliver embedded Looker dashboards, and clear technical blockers so the other developers can focus on building. You will work closely with the Engineering Manager, Product, our API experience team and our data engineering team. This is a hybrid role, working from our Stockholm office.

What You Will Do

• Lead the design and delivery of the team’s APIs, from low-level API design to the overall architecture.
• Build and deploy applications end to end across a JavaScript/TypeScript stack with a Node.js backend.
• Understand how our data is structured and where it lives, including producers, dependencies, transformations and bottlenecks.
• Make good use of the data artifacts provided by our data engineering team.
• Help the team deliver embedded Looker dashboards and remove technical blockers.
• Work with other teams on technical dependencies, solutions and best practices, and spot bottlenecks before they slow us down.
• Make our APIs and dashboards usable by AI agents, including through MCP.
• Use AI coding tools in your daily work and help the team get the most out of them.
• Explain technical topics clearly to non-technical colleagues and stakeholders.
• Write code alongside the team, review their work and help them grow.

What We Are Looking For

• 8+ years of software development experience, including at least 5 years of hands-on API development.
• Strong full-stack skills: you can develop and deploy applications end to end.
• Experience with JavaScript/TypeScript and Node.js.
• Architectural thinking: you are comfortable with API design details and with the bigger picture.
• A solid understanding of data: how it is structured, where it lives and how it flows between systems.
• Experience leading engineers while staying hands-on.
• Solid experience deploying to at least one major cloud provider (AWS, Azure or GCP), and comfort working primarily on Google Cloud Platform.
• Daily use of AI coding tools (agentic coding), and an understanding of what MCP is and how it is used.
• Curiosity and the drive to move fast in a field that is still evolving.
• Experience collaborating across teams on technical dependencies.
• Clear communication in English, written and spoken, including with non-technical colleagues.
• Willingness to work hybrid from our Stockholm office.

Nice to have

• Experience with Google Cloud Platform, especially BigQuery and Looker (connecting to BigQuery is enough).
• Experience with embedded analytics or dashboards.
• Hands-on experience building with AI agents or MCP servers.
• Experience with AWS.

OUR HIRING PROCESS

We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel.

We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn’t what you’re looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us!