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SharkNinjaVerified from SharkNinja's careers page · Greenhouse

Mid-Level Forward Deployed Engineer

  • Needham, Massachusetts, USA
  • On-site
  • 4 Years
  • Posted Nov 11, 2026

At a glance

Mid-Level Forward Deployed Engineer at SharkNinja, an on-site role based in Needham, Massachusetts, USA. Experience level: 4 Years. Posted on 11 November 2026, read from SharkNinja's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes.

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About this role

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. • Experience building or contributing to applications, automated workflows, data pipelines, or other technical solutions used by business teams. • Understanding of software development fundamentals, including testing, debugging, version control, documentation, and deployment. • Ability to translate business requirements into practical technical solutions and work independently on defined deliverables. • Strong analytical and problem-solving skills, with an interest in understanding how technology affects business performance. • Effective communication skills and the ability to collaborate with technical and non-technical stakeholders. • A proactive, entrepreneurial approach to problem-solving, with a willingness to learn, experiment, and adapt as priorities evolve. • A Rarely Satisfied mindset, continuously looking for better ways to solve problems while recognizing that Details Make the Difference . Experience that would help • Experience in consumer products, CPG, retail, manufacturing, finance, or business operations. • Experience with Palantir Foundry and AIP, or comparable enterprise data and application platforms. • Experience with Snowflake, dbt, or modern data transformation tools. • Familiarity with APIs, data integrations, and cloud-based applications. • Experience building user-facing applications or interfaces using React or similar frameworks. • Exposure to AI/ML applications, large language models, or workflow automation. • Experience working in an agile, startup, or high-growth environment. We value demonstrated technical ability, curiosity, and a track record of building useful solutions. A bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related discipline—or equivalent practical experience—is welcome. Salary and Other

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