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Own go-to-market for a slice of HTB Enterprise: positioning, messaging, launches, sales enablement, collateral, customer insights, and cross-team campaign execution while tracking impact.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

As a Finance Manager, you will manage budgeting, forecasting, financial modeling, analyze data, and collaborate with teams to enhance financial performance at Hack The Box.

The Sr Product Manager will lead the development of data-driven features, build reporting dashboards, and collaborate with cross-functional teams to enhance user insights and product adoption in a B2B SaaS environment.

The Finance Manager will lead budgeting, forecasting, financial modeling, and variance analysis while collaborating with cross-functional teams to optimize financial performance.

Generate and qualify B2B leads through market research, outbound calls, emails, and campaigns. Book appointments for AEs, optimize outreach scripts, collaborate with marketing, and act as a product ambassador to drive pipeline growth.

Build and qualify federal pipeline by researching agencies, mapping buying centers, navigating contract vehicles, executing compliant outbound aligned to acquisition cycles, qualifying opportunities with MEDDPICC, and collaborating with Federal AEs to grow strategic accounts.

Hack The Box welcomes candidates to share their CVs and career preferences to align with future job opportunities, emphasizing growth in cybersecurity.

As a QA Analyst, you will advocate for quality standards, set testing requirements, and ensure the usability of products for business customers while managing manual and automated testing processes.

Analyze large training and telemetry datasets using SQL and Python to measure ROI and human risk, build executive dashboards in Looker/Tableau, audit data integrity, run behavioral analyses to identify high-risk cohorts, and present actionable insights to federal stakeholders while partnering with Data Engineering and Product.