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.
Superhuman team members for this role must be based in the San Francisco Bay Area or Seattle.
About Superhuman
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.
Overview
We are hiring a Manager for our Data Platform team to own first-party and third-party data ingestion services and data governance - the foundational layer that makes everything downstream possible. This person will lead a team of ~6-8 engineers responsible for the systems that collect, validate, and land Superhuman’s 70B+ daily events into our Databricks Lakehouse, and for the governance frameworks that keep that data discoverable, secure, and compliant.
This role reports to the Director of Data Platform and sits at the center of the broader data organization - with direct influence over platform architecture decisions, tooling strategy, and cross-team standards for data quality and access. The scope will grow over time, but the initial charter is to harden and scale our ingestion pipeline, and build governance into a first-class capability.
As the Engineering Manager, you will:
- Own end-to-end Data I/O - lead the team that that owns all patterns for moving data in and out of Databricks, targeting high availability and low-latency delivery. This includes both first-party data (in-product events, production DBs), as well as third-party data (Salesforce, Ad platforms etc). The team will explicitly own both the inbound, as well as outbound integration patterns. The team’s goal is to ensure a great experience for both data producers and data consumers who use these integration patterns - not to own all end-user experiences on the platform, but to make the interfaces for getting data in and out reliable, well-documented, and easy to adopt.
- Build out the data governance function - develop and ship self-serve frameworks for data discovery, access management, quality monitoring, and policy enforcement so that engineers, analysts, and ML practitioners can find and trust the data they need without filing tickets. This includes defining and enforcing access control models across the lakehouse, maintaining data classification standards, tracking lineage, and ensuring policy compliance. The team also owns the tooling and processes that make governance self-service where possible - so that teams can onboard new datasets, request access, and understand data sensitivity without governance becoming a bottleneck.
- Grow and lead the team - hire, mentor, and retain a high-performing group of engineers. Set clear expectations, run effective rituals, and create an environment where senior ICs have the autonomy to do their best work.
- Partner across data teams - collaborate closely with Data Model, ML Production and Data Science teams to ensure cross-tool integration and governance decisions account for batch, real-time, and ML training workloads. Represent the team’s roadmap and tradeoffs in cross-functional planning.
- Evaluate and adopt tooling deliberately - assess new technologies against real requirements rather than hype. Drive build-vs-buy decisions for ingestion and governance tooling with clear success criteria.
Qualifications:
- 10+ years of experience in data engineering, infrastructure & governance, with at least 2-3 years in a managerial role.
- Experience with data lakehouse providers, such as Snowflake, Databricks, or BigQuery.
- Experience with cloud platforms - AWS, GCP, or Azure
- Familiarity with modern data engineering and orchestration tools and frameworks (e.g., Apache Kafka, Airflow, DBT, Spark).
- Excellent leadership and people management skills, with a track record of mentoring and developing high-performing teams.
- Experience working with geographically distributed teams
- Strong problem-solving skills, with the ability to navigate and resolve complex technical challenges.
- Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across different locations and time zones.
- Proven ability to operate in a fast-paced, dynamic environment where things change quickly.
- Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy, but is also profoundly technical and can dive in to help when necessary.
- Willingness to meet in person for scheduled team collaboration weeks and travel, if necessary, to other Superhuman hubs.
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
- Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
- Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
- Annual professional development budget and opportunities
Superhuman takes a market-based approach to compensation so that base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position, by compensation zone, are outlined below and may be modified in the future.
United States:
Zone 1: $250,000 - $350,000
We encourage you to apply
At Superhuman, we value our differences and encourage everyone to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).