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Jellyfish

Product Engineer, AI Innovation

Sorry, this job was removed at 12:08 p.m. (EST) on Tuesday, Sep 16, 2025
Remote or Hybrid
Remote or Hybrid

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As a Strategic Account Executive, you will build and manage a B2B pipeline, engage in technical and business discussions with enterprise customers, and partner with sales engineering to ensure customer success. You will leverage your experience to drive sales growth and maintain strong client relationships post-sale.

As a Product Engineer for Jellyfish Research, you will support our team's mission to deliver product innovation and cutting-edge research. You'll contribute to product strategy through explorations and rapid prototyping with AI technologies, stay ahead of AI trends, analyze how AI technology is driving changes in our customers and their engineers, and translate findings into compelling narratives.

Most importantly, you will be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners.

Let's talk about what you'll do:

  • Engage in rapid prototyping and create tech demos to showcase possibilities, inform product strategy, and support marketing and investor relations.

  • Analyze developer behavioral data related to the usage of AI coding assistants and agents to uncover key insights and trends.

  • Develop compelling narratives, presentations, and reports based on data analysis to support marketing, business development, and partnership initiatives.

  • Continuously track, evaluate, and experiment with new developments, tools, and advancements in the AI landscape.

  • Collaborate effectively with product managers, designers, engineers, and other stakeholders across the organization.

Let's talk about what you need to excel:

  • You have a strong interest in understanding user behavior, particularly how developers interact with new technologies.

  • You are a competent coder who is comfortable experimenting with and learning new tools, particularly AI.

  • You have some experience in data analysis or data science, with the ability to conduct basic quantitative analysis and interpret data intelligently in order to solve problems, tell compelling stories, and drive decision-making.

  • You demonstrate exceptional creativity and critical thinking skills.

  • You are passionate about AI and eager to dive deep into the space, follow trends, and apply new learnings.

  • You are scrappy, flexible, practical, and outcome-oriented, willing to pick up the tools needed to get the job done effectively.

  • You love learning new things quickly and are comfortable working in a fast-paced, iterative environment.

  • You have strong communication skills and enjoy working as part of a cross-functional team.

Bonus points if you have experience with:

  • Specific AI coding tools, platforms, or APIs (e.g. Copilot, Cursor, MCP, LLM APIs).

  • Rapid prototyping tools or frameworks (e.g. Replit).

  • Data visualization tools.

  • Presenting research findings to diverse audiences (technical and non-technical).

  • Our engineering technology stack (Python 3, Django, Postgres, AWS).

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.

Occasional travel may be required.

Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.


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