Job Title: Manager, Data Science & Customer Solutions Engineering

Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.

Atreides transforms the chaos of petabyte-scale, all-domain data—land, air, sea, space, and cyber—into real-time operational clarity. We are a fast-moving, high-performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.

Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.

Position Overview: As the Manager of Data Science and Solutions Engineering, you will lead a multidisciplinary team that bridges analytical insight and engineering delivery. Your team will be responsible for both the exploration and modeling of complex datasets and the implementation of data-driven workflows that power customer and operational solutions. You’ll oversee the full lifecycle of analytic and technical delivery - from research and validation through integration and deployment - ensuring that work is rigorous, scalable, and aligned with business and platform objectives. This role combines technical leadership with strategic coordination, requiring strong judgment in prioritization, cross-functional planning, and team development.

Team Principles:

At Atreides, we believe that teams work best when they:

• Remain curious and passionate in all aspects of our work

• Promote clear, direct, and transparent communication

• Embrace the 'measure twice, cut once' philosophy

• Value and encourage diverse ideas and technologies

• Lead with empathy in all interactions

Responsibilities:

• Manage and mentor a combined team of data scientists and solutions engineers, fostering technical excellence and professional growth.

• Set project priorities in collaboration with product, customer success, and platform engineering teams.

• Oversee analytic and engineering initiatives related to data exploration, model development, quality assurance, and customer-specific implementations.

• Ensure that analyses, integrations, and workflows are robust, well-documented, and operationally maintainable.

• Drive the design and adoption of reusable frameworks for analytics, model evaluation, and client-facing data solutions.

• Maintain alignment with the company’s technical architecture and ensure smooth handoffs between exploratory and production environments.

• Lead hiring, performance management, and career development across both data science and solutions engineering disciplines.

Desired Qualifications:

• 7+ years of experience in data science, data engineering, or related analytics fields, including 2+ years managing technical teams.

• Strong technical grounding in Python, Spark SQL, and modern data architectures.

• Experience overseeing both exploratory analytics and production-oriented engineering workflows.

• Demonstrated success managing cross-functional, customer-facing, or hybrid research-delivery projects.

• Proven ability to guide both scientific rigor and engineering discipline in a single organization.

• Excellent communication, planning, and leadership skills for coordinating priorities across diverse stakeholders.

Compensation and Benefits:

• Competitive salary

• Comprehensive health, dental, and vision insurance plans

• Flexible remote work environment

• Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave

While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.