About Us

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

AI at SharkNinja

At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.

Mid-Level Role

FORWARD DEPLOYED ENGINEER — THE FIN

The opportunity

Build the next generation of how SharkNinja operates.

Join THE FIN, SharkNinja's core internal transformation team, to build financial and operational capabilities from zero to one. We work directly with business teams to simplify complex processes, connect data, and develop practical applications, automation, and AI solutions that improve how SharkNinja operates.

We're looking for a hands-on engineer who combines strong technical skills, curiosity about how businesses work, and the drive to turn ideas into working solutions. You'll work directly with business partners to understand challenges, develop solutions, and help bring them into daily use.

This is an opportunity to build real products, solve meaningful business problems, and see the impact of your work across a global organization. You'll have ownership of defined projects, support more complex initiatives, and develop your technical and commercial judgment alongside experienced builders.

Success means delivering reliable solutions that business teams actually use, improving efficiency, decision-making, and operational performance.

Responsibilities

Embed with the business. Partner with Finance, Operations, and other business teams to understand workflows, identify inefficiencies, and translate business needs into technical requirements.

Build practical solutions. Design, develop, and deliver applications, data products, and automation that solve defined business problems and improve day-to-day operations.

Connect data and systems. Develop SQL queries, data models, and integrations that make information more accessible, accurate, and actionable.

Apply AI thoughtfully. Build and integrate AI-enabled capabilities where they improve business processes, incorporating appropriate testing, validation, and human review.

Deliver production-ready work. Develop, test, deploy, document, and maintain solutions using sound engineering practices, with attention to security, reliability, and data quality.

Work directly with users. Gather feedback, iterate quickly, and improve solutions based on how they perform in real business environments.

Drive adoption and results. Support rollout, training, and ongoing improvements, helping ensure solutions are adopted and deliver measurable business value.

Continuously improve. Challenge existing approaches, identify opportunities to simplify processes, and embrace a Progress Over Perfection mindset to move quickly while maintaining quality.

Collaborate for impact. Work across technical and business teams, recognizing that Winning Is a Team Sport and communicating clearly to move projects forward.

Skills Required

Typically 2–4 years of experience developing software, data solutions, analytics products, or business process automation.

Hands-on experience with Python or a comparable programming language for data analysis, automation, or application development.

Strong working knowledge of SQL, including querying, joins, data transformations, and relational database concepts.