Forward Deployed Engineer

SharkNinja•Needham, MA

About The Position

Join THE FIN, SharkNinja’s core internal transformation team, to build financial and operational capabilities from zero to one. The Forward Deployed Engineer embeds with business teams, understands their workflows and challenges, and develops reliable data, automation, and AI solutions that produce measurable commercial impact. The role owns delivery end to end—from understanding the problem through production deployment, adoption, and ongoing results—using the resources and reach of a global business.

Requirements

Experience building and deploying production software, data products, or automation used by business teams.
Experience in CPG, consumer products, retail, manufacturing, or another environment requiring an understanding of end-to-end business operations.
Experience with Python or a similar data analysis language.
Strong SQL skills, including experience with database architecture, table creation, procedures, and functions.
Commercial acumen: ability to connect technical choices to business value and understand how changes affect teams across the business.
Sound engineering practices across testing, security, monitoring, and documentation, including validation of AI outputs.
A founder’s mindset: initiative, ability to navigate uncertainty and move quickly, and accountability through adoption and results.

Nice To Haves

Experience with Palantir Foundry and AIP, or comparable enterprise data and application platforms.
Embedded engineering, business transformation, or product development experience in a startup or high-growth environment.
Experience building intuitive interfaces that simplify complex data and workflows.
Snowflake and DBT experience.
Experience with production business applications in React.

Responsibilities

Embed with business teams to understand workflows, decisions, and recurring friction, and identify opportunities with clear commercial value.
Turn ambiguous problems into working applications, data products, and automation, iterating directly with users.
Integrate enterprise systems and apply AI where it improves outcomes, with appropriate validation and human review.
Test, deploy, monitor, and maintain production solutions with security, data quality, and auditability built in.
Drive adoption by putting solutions into daily use, establishing support ownership, and measuring business results.