[Hiring] Manager, Data Engineering @HackerOne

Role Description

HackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne team. You will lead the discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth.

As a Manager of Applied Data Engineering, you'll have the autonomy to lead challenging projects and foster collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.

What You Will Do:

• Your first day will start with a warm welcome and technical onboarding!
• Your first 30 days will focus on getting to know HackerOne, learning our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meeting our Hackeronies.
• Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.
• Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives, and fostering cross-departmental collaboration.
• After 90 days, you will:
  • Deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products.
  • Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges.
  • Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.
  • Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.
  • Provide technical leadership and mentorship, fostering a culture of continuous learning and growth.

Qualifications

• 8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role with proven track record of launching source of truth data marts, and at least 3+ years in a leadership role.
• 8+ years of experience building and optimizing data pipelines, products, and solutions.
• Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.
• Strong proficiency in SQL for data manipulation in a fast-paced work environment.
• Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI.
• Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results.

Requirements

• Strong proficiency in at least one data programming language such as Python or Scala.
• Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.
• Proven track record of driving innovation, adopting emerging technologies and implementing industry best practices.
• Passion for working backwards from the Customer and empathy for business stakeholders.
• Thrive on solving for ambiguous problem statements in an early-stage environment.
• Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.
• Experience shaping the strategic vision for data.
• Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.
• Experience working with Agile and iterative development processes.

Benefits

• Health (medical, vision, dental), life, and disability insurance*
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program

*Eligibility may differ by country