Software Engineer, Data Operations

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.

As a Software Engineer on the Data Operations team, you will shape the architecture and technical strategy of our data platform, ensuring scalability, security, and efficiency across data engineering systems. You will design and lead the implementation of robust, scalable, and reliable systems that handle large volumes of data, empowering both product features and data-driven decision-making across the company. Your work will span areas such as real-time & ETL data pipelines, cloud infrastructure, data lakes, and back-end services.

This role requires you to collaborate with cross-functional teams, including back-end engineers, Analytics engineering, Data Science engineering, and machine learning teams, to drive initiatives that support various business outcomes. As a senior IC, you will also mentor engineers and help set the strategic direction for the platform.

• Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
• Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing, including ML research use cases.
• Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
• Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
• Ensure easy of use and cost effectiveness of company wide data infrastructure
• Collaborate with Leadership in devising the charter and technical roadmaps
• Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.

• Has experience in large-scale distributed computing systems, with expertise in data infrastructure provisioning and data governance.
• Has experience managing live production environments, including high-load systems or data-intensive workflows, with a focus on uptime and reliability.
• Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java).
• Ability to design scalable, secure, and maintainable data models and architectures, and understanding of data governance, privacy regulations (GDPR/CCPA).
• Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
• Is a strategic thinker, able to evaluate whether to build internally or leverage third-party solutions, ensuring the right balance between speed, scalability, and long-term viability.
• Is an excellent communicator and collaborator, able to work across diverse teams and stakeholders, translates business needs into robust data solutions, and ensures alignment on technical goals.
• Has a demonstrated ability to work independently with minimal to zero guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

• Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
• A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
• Comprehensive benefits: Superhuman offers all team members competitive pay along with a benefits package that includes superior health care. We also offer ample and defined time off, catered lunches, gym and recreation stipends, admission discounts, and more.
• Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing.

At Superhuman, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. Superhuman is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, color, gender expression or identity, sexual orientation, sexual identity, national origin, citizenship, age, marital status, veteran status, disability status, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.

For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here.