User Facing Software Manager

Pivotal•Palo Alto, CA

2d•Onsite

About The Position

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in early 2026. Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.

Requirements

Bachelorâs degree in Data Science, Software Engineering, Systems Engineering, Electrical/Mechanical Engineering, or related field.
10+ years of experience in data engineering, analytics, or system-level insight generation in complex technical programs.
Strong proficiency in Python and tools like Pandas, Plotly, Streamlit, or equivalent for data wrangling and visualization.
Experience designing dashboards and alerting systems for hardware or fleet-based systems.
Proven ability to work across engineering and operational teams to translate problems into measurable insights.
Deep understanding of telemetry, sensors, logging, and data management for hardware-in-the-loop or real-world systems.

Nice To Haves

Experience working on electric aircraft, autonomous systems, EVs, or robotics platforms.
Familiarity with SQL, cloud-based data tools, or embedded system data extraction.
Understanding of maintenance operations and how data supports fleet availability.
Ability to drive IP and innovation in the form of analytics architectures or reliability prediction techniques.
Experience leading small teams.

Responsibilities

Lead architecture and implementation of data pipelines for fleet health monitoring, predictive maintenance, and system diagnostics.
Develop dashboards, analytics, and reporting tools for engineering, manufacturing, and flight teams.
Establish early alerting systems for key subsystems (e.g. powertrain, battery, control).
Collaborate with Firmware, GNC, Flight Test, and PM to define logging, KPIs, and success metrics across programs.
Drive roadmap for flight data visibility and analysis tools that extend from internal users to eventual customers.
Serve as technical lead for data-informed decision-making â from reliability engineering to field service readiness.
Champion best practices around telemetry design, data security, and long-term scaling.