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SharkNinja

Designs household appliances for everyday tasks

Mid-Level Forward Deployed Engineer

AI Application EngineeringPosted on Nov 11
Full-timeNeedham, MA, USA$125k - $160k /yrIn-person

About the Job

Requirements

  • 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 bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related discipline—or equivalent practical experience—is welcome.

Responsibilities

  • Partner with Finance, Operations, and other business teams to understand workflows, identify inefficiencies, and translate business needs into technical requirements.
  • Design, develop, and deliver applications, data products, and automation that solve defined business problems and improve day-to-day operations.
  • Develop SQL queries, data models, and integrations that make information more accessible, accurate, and actionable.
  • Build and integrate AI-enabled capabilities where they improve business processes, incorporating appropriate testing, validation, and human review.
  • Develop, test, deploy, document, and maintain solutions using sound engineering practices, with attention to security, reliability, and data quality.
  • Gather feedback, iterate quickly, and improve solutions based on how they perform in real business environments.
  • Support rollout, training, and ongoing improvements, helping ensure solutions are adopted and deliver measurable business value.
  • Challenge existing approaches, identify opportunities to simplify processes, and move quickly while maintaining quality.
  • Work across technical and business teams and communicate clearly to move projects forward.

Desired Qualifications

  • Experience in consumer products, consumer packaged goods, 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.

About the Company

SharkNinja

Designs household appliances for everyday tasks

SharkNinja designs household appliances for consumers, combining Shark cleaning and beauty products with Ninja kitchen equipment. Shark's range includes vacuums, hair styling tools and air purifiers, while Ninja sells blenders, air fryers and coffee machines. Its engineers develop products and oversee quality testing, while outside suppliers assemble the appliances, which the company sells through retailers, distributors and its own websites. Customers use the appliances for tasks from cleaning floors and styling hair to preparing meals and making frozen desserts. Its operating roots date to 1994 in Montreal, and its global headquarters is in Needham, Massachusetts.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Needham, MA
Founded
1994

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