Engineering Manager | Product Analytics
Databricks
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
The Product Analytics team at Databricks is important for driving the success of our product. It powers the logging infrastructure for our primary website, and helps Data Scientists and Product Managers at Databricks gain deep insights into how their features are being used. Your mission is to lead this team in its partnership with feature teams to ensure that we are using data to make Databricks excellent.
The impact you will have:
- Lead a talented engineering team tasked with providing telemetry infrastructure for Databricks.
- Oversee sustained recruitment of top-tier talent, encouraging a and synergistic team structure, and collaborating with all partners.
- Implement processes to build product strategy according to organizational goals and priorities
- Take input from feature teams and improve adoption of new programs across the organization.Make company-wide impact by providing critical insights to Data Science and Product partners..
- Define and guide the future of UI logging infrastructure at Databricks.
- Grow a world class team of software engineers working on UI infrastructure.
- Ensure delivery against milestones and understanding of product teams.
- Evolve organizational structure to align with long-term projects, build "5 ingredient" teams with good comms architecture
- Manage technical debt, including long term technical architecture decisions and balance product needs
What we look for:
- 1+ years experience working as an Engineering Manager, in an Frontend or related role
- Experience with infrastructure, building great UIs, performance, and data-driven UI insights
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service level agreements of a product.
- Attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level the existing team by hiring top-notch senior talent, growing leaders and helping struggling members of the team and guide their careers. Experience managing distributed teams preferred
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.