Manager, Data Engineering

Manager, Data Engineering

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.

The HackerOne Enterprise Data & AI team democratizes source of truth information, transformative insights, and AI tooling and infrastructure to power enhanced decision-making, autonomous execution, and mission-aligned scale.

The future is one where every Hackeronie is a catalyst for positive change, advancing data-driven, AI-powered, human-led innovation while fostering our culture of transparency, collaboration, and customer obsession.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, Austin, or Washington DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.

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. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet 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. Additionally, you foster cross-departmental collaboration to enhance these efforts.

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, and by leading and delivering cross-functional product and technical initiatives.
• 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, in a fast-paced early-stage environment.
• 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.

Minimum Qualifications

• 8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role w/ 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.

Preferred Qualifications

• 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.

Compensation Bands

$170,000 to $205,000 (+ equity)

#LI-MH1

Job 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

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.