Empowering enterprises to keep the planet habitable for all, Terrascope aspires to be the easiest carbon measurement and decarbonization platform for companies in the land, nature, and net-zero economy sectors.
Terrascope is a leading decarbonisation software platform designed specifically for the Land, Nature (LAN), and the Net-Zero Economy (NZE). As the easiest-to-use platform for these sectors, our comprehensive solution blends deep industry expertise with advanced climate science, data science, and machine learning. Terrascope enables companies to effectively manage emissions across their supply chains.
Our integrated platform offers solutions for Product and Corporate Carbon Footprinting, addressing Scope 3 and land-based emissions, SBTi FLAG & GHG Protocol LSR reporting, and supporting enterprise decarbonisation goals.
Publicly launched in June 2022, Terrascope works with customers across sectors, from agriculture, food & beverages, manufacturing, retail and luxury, to transportation, real estate, and TMT.
Terrascope is globally headquartered in Singapore and operates in major markets across APAC, North America, and EMEA. Terrascope is a partner of the Monetary Authority of Singapore’s ESG Impact Hub, a CDP Gold Accredited software provider, has been independently assured by Ernst & Young, and a signatory of The Climate Pledge to achieve Net Zero by 2040.
We are looking for an Engineering Manager who combines deep technical expertise with strong leadership and management skills. You will lead the engineering team to deliver high-quality, scalable, and innovative software solutions. You will set the technical vision, guide the development of our SaaS product, and ensure that the engineering team collaborates effectively across product, design, and other functions. This role will report into the Senior Director of Product, Tech and Data.
In this role, you will drive:
- Technical vision and strategy: Make technical decisions and advise the team on the software development approach to take, considering trade-offs between the approaches and mitigating known drawbacks
- Team leadership and development: Lead, mentor, and grow a diverse team of engineers across frontend, backend, DevSecOps, data, and analytics. Foster a culture of continuous learning, experimentation, and improvement. Identify skill gaps and oversee team training and recruitment efforts.
- Cross-functional collaboration: Work closely with Product, Customer Success, Sustainability, and Solution Engineering to align on feature prioritization and roadmap execution. Collaborate with Design to ensure a seamless user experience with intuitive user flows and consistent design throughout the product.
- Software development and project management: Plan and manage the engineering scope, schedules, and quality for each feature and release. Ensure timely and efficient execution across the product lifecycle.
- Technical excellence and delivery: Build and maintain a scalable, high-quality codebase, enforcing coding standards, testing practices, and quality assurance processes, and managing technical debt. Conduct peer code reviews and provide hands-on technical guidance. Streamline workflows by integrating software engineering, quality assurance, DevSecOps, and MLOps frameworks, guidelines and processes into software development activities
- Security and Compliance: Ensure secure coding and existing software development lifecycle guidelines and standards are met. Work with Legal and IT support to ensure the platform is secure and complies with security standards such as ISO 27001 and SOC
- Monitoring and Incident Management: Set up advanced logging and alerting systems to detect and resolve bugs proactively. Develop an incident response plan and lead technical resolution when incidents occur to minimise downtime and impact to customers.
- Infrastructure and Performance: Design and maintain an architecture that supports scalable growth and high availability. Effectively manage cloud infrastructure, and develop strategies to minimize cloud spending, optimizing resource allocation and infrastructure costs. Track and optimise SaaS metrics, such as uptime, response time, latency, and system performance, ensuring a seamless and efficient experience for customers.
- Process improvement and innovation: Evaluate and select third-party tools, platforms, and services (e.g., databases, monitoring tools, security services) that can help accelerate development while maintaining cost-effectiveness. Stay up to date with industry trends, new technologies, and best practices to improve software development processes. Identify opportunities to optimize processes and implement best practices for industrialising AI and machine learning
To succeed in this role, you need to have/ be:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 10+ years of experience in software development, with at least 3 years managing high-performing distributed engineering teams.
- Prior experience in startups and working with remote teams
- Experience developing a B2B/ Enterprise-grade SaaS platform
- Hands-on technical skills and good competency in the following: (1) JavaScript and React to build scalable and modular web applications using module federations technique; (2) Server-side programming / building scalable web apps in Python; (3) Database technologies such as Microsoft SQL, Oracle, PostgreSQL, and MongoDB; and (4) Container orchestration technologies such as Docker, Kubernetes.
- Familiarity with cloud services, especially in AWS
- Experience with Agile methodologies
- Excellent communication and stakeholder engagement skills
- Data-driven with strong analytical and prioritization skills
- A self-starter with a growth-mindset and proactiveness in working independently to drive toward achieving results
Good to have 🎉:
- An entrepreneurial problem solver comfortable in managing risk and ambiguity
- Experience in AI-related technologies, AI/ML, Data Science, and scaling data science components in production
- Proven track record of people management and being able to develop individuals’ careers and motivation to achieve team’s outcomes
Your Privacy and Fairness in Our Recruitment Process
We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency and minimize bias, we use AI-powered tools to assist with tasks such as resume screening and candidate matching. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. We continuously validate our systems to uphold fairness, transparency, and accountability, ensuring they do not result in unfair or discriminatory outcomes. Your personal data is handled securely and transparently, and final hiring decisions are made by our recruitment team to ensure a human-centered approach. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].
We're committed to creating an inclusive environment for our strong and diverse team. We value diversity and foster a community where everyone can be their authentic self.
