Speedback helps care teams and researchers launch and deliver preventive and population health programmes at speed and scale. Our mission is proactive care for health, for everyone. We build AI tools that help healthcare providers support patients, automate routine follow-ups and coordinate care.
As an early-stage startup, we build products that empower hospitals, hospices and clinical research teams to shift towards digital-first, asynchronous care. We combine AI and modern software engineering to solve healthcare problems and enable care teams to reach more patients.
We're looking for a product engineer who will work closely with our founders, product team and customers to shape the future of healthcare in Asia. You'll have the autonomy to make technical decisions, build products from the ground up and take ownership from development through production.
In your first month, you may
Build and ship features across frontend, backend and cloud infrastructure, turning customer problems into production-ready solutions.Work directly with product teams and healthcare users to understand their workflows, challenge assumptions and decide what to build.Experiment with AI development tools, improve existing systems and make technical decisions that balance speed, reliability and maintainability.About the Founder
The founder brings domain expertise and a track record of developing health tech and digital infrastructure in Singapore and Southeast Asia. Our CEO has 8 years of experience developing health policy and technology in Singapore, has delivered national-scale COVID-19 systems and advises WHO Western Pacific countries.
If you're hoping to start a startup yourself one day, joining Speedback will give you valuable exposure to building products, making technical decisions and growing an early-stage technology company.
Role
As our product engineer, you'll take ownership of building and scaling our platform, from core product features to complex AI-supported healthcare workflows. You'll work across the application and its supporting infrastructure, with direct influence over what we build and how we build it.
You'll:
Design, build and maintain production software across frontend applications, backend services, databases and cloud infrastructure.Collaborate with founders, product teams and customers to understand problems, define requirements and translate them into technical solutions.Make architectural and technical decisions that balance delivery speed, security, reliability, cost and long-term maintainability.Take ownership of features from initial development through deployment, monitoring, debugging and ongoing improvement.Use AI development tools to accelerate delivery while reviewing generated code, testing failure cases and verifying system behaviour.Write clean, maintainable code and uphold engineering quality through code reviews, testing and incident response.Improve engineering practices, share technical knowledge and mentor teammates as the product and engineering team grow.Qualifications
Proven delivery: Experience shipping at least one product or project to production on cloud infrastructure, used by people outside the development team. Able to explain your contributions and technical decisions.Strong engineering fundamentals: Ability to independently read, write, refactor and debug code without AI assistance. Good understanding of software architecture, databases and how systems work together.Technical judgment: Ability to evaluate technical options, explain trade-offs and make practical decisions around scalability, security, reliability and maintainability.Effective AI use: Experience using AI coding tools to improve development speed, with the ability to review generated code, identify errors and verify the final implementation.Ownership and problem-solving: Comfortable working independently, managing ambiguity, taking responsibility for production systems and resolving issues after deployment.Product thinking: Ability to understand user problems, prioritise requirements and translate business needs into practical technical solutions.Communication and teamwork: Able to communicate technical concepts clearly, raise risks early and collaborate effectively with product, business and engineering teams.Preferred Qualifications
Experience working across the full stack, including frontend frameworks, backend services, databases and cloud infrastructure.Experience improving engineering practices, mentoring other engineers or making architectural decisions for a growing product.Interest in applying AI and emerging technologies to build practical, reliable software products.Excitement about building products that improve healthcare delivery and patient outcomes.How We Work
Profit serves Purpose. Build products that advance our healthcare mission while sustaining the business.Focus our genius. Develop a deep understanding of healthcare and focus our efforts on patients and care teams.See it, own it, solve it, do it. Identify problems early, take responsibility and follow through on commitments.Delight customers we serve with quality and value. Seek feedback, act on facts and deliver dependable products that solve real problems.We move as one. Work with integrity, support teammates, challenge ideas constructively and help the team succeed.About the interview
Application: Submit your CV to junbin@speedback.com, along with a portfolio, project link or short description of a product you helped ship. Explain your contribution and why you're interested in Speedback.Product and technical discussion: Walk us through a product or project you shipped, including your technical decisions, trade-offs, challenges and lessons learned.Practical engineering assessment: Complete a coding or debugging exercise without AI assistance to demonstrate your engineering fundamentals.AI-assisted development assessment: Demonstrate how you use AI tools in development, review generated code, identify issues and verify the resulting implementation.Team and ownership discussion: Discuss your approach to collaboration, production incidents, problem-solving and working in an early-stage startup.