Forward Deployed Growth Strategist (Commercial AI Solutions)

SharkNinja•Needham, MA

6d•$135,000 - $165,000•Hybrid

About The Position

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions powered by two trusted global brands, Shark and Ninja. We have a proven track record of bringing disruptive innovation to market across a $6B+ portfolio spanning 39 categories, with products in millions of homes around the world. We are building an AI-native company, meaning AI is not a side project owned by a lab but is in the hands of the operators running our brands, channels, and P&Ls. We expect bold experimentation, fast iteration, and systems that ship into production rather than sit in a deck. This role involves embedding with a team within the commercial organization (Media, Sales, Strategy, Analytics) to identify where AI can materially change operations and build the systems to make it happen. The role spans problem definition through architecture, deployment, and adoption, with a focus on driving adoption with operators and improving the system to move business metrics. The goal is to eliminate manual work, surface decisions sooner, and create measurable commercial impact while driving growth.

Requirements

5–7 years of experience spanning both commercial teams accountable for business results and hands-on software building.
Deep expertise in at least one commercial discipline (Sales, Media, Strategy, Analytics, or adjacent commercial function).
Proven commercial impact, with experience leading revenue growth or margin expansion and the ability to explain the methods used.
Commercial data literacy, including comfort with relevant data (sales, media spend, margin, funnel, inventory, marketplace) and the judgment to identify key metrics.
Production AI engineering experience, including designing, building, and shipping agentic systems in production (multi-step agents, tool use, orchestration, retrieval, structured outputs, evaluation, human-in-the-loop design).
Real technical range, including strong Python, SQL, and API fluency.
Comfort with cloud data warehouses and modern data modeling.
Sufficient front-end capability to build user-friendly tools.
Ability to write maintainable code.
Credibility with analysts to executives.
Ability to operate well in ambiguity and move proactively.

Nice To Haves

Prior experience with SharkNinja's enterprise data platform is not required, but the ability to get productive fast is.

Responsibilities

Embed with a commercial team, operating as a member to learn their rhythm, metrics, and decision-making processes.
Diagnose revenue and margin opportunities using data before writing code.
Design and ship AI agents, LLM pipelines, data products, and internal tools that integrate into live commercial workflows and take action.
Own the architecture, build, evaluation, and production of AI solutions.
Develop deep fluency in the enterprise data platform, including data pipelines, data modeling, and the application layer, to scale solutions.
Own the reliability, evaluations, observability, and cost of deployed systems.
Deploy alongside operators to drive genuine adoption and measure success by business impact.
Translate between technical and commercial domains, explaining margin impact to finance leads and workflow changes to category managers.
Prioritize AI initiatives with senior commercial leaders based on value creation.
Document and hand off solutions to create repeatable systems and reuse existing organizational assets.