Bluefish

Bluefish

Bluefish is an AI marketing platform tailored for enterprise brands, helping them manage their visibility in AI-generated search results. Founded by a team of seasoned professionals in advertising technology, Bluefish aims to assist brands in understanding and influencing their representation across major AI systems. The company has successfully raised $23.5 million in funding to support its mission. The platform offers several key capabilities, including AI monitoring and visibility, performance optimization, and measurement and analytics. It analyzes AI responses from systems like ChatGPT and Google AI, providing insights into brand representation and sentiment. Marketers can optimize their content strategies and track the effectiveness of their campaigns against custom KPIs. Additionally, Bluefish integrates AI commerce solutions to connect marketing efforts with sales outcomes. With a client base that includes many Fortune 500 companies, Bluefish is positioned to support brands across various industries, including financial services, consumer goods, and travel. The company focuses on generative engine optimization, allowing businesses to adapt to the evolving landscape of AI-driven consumer discovery.

information technology & services
51-200
Founded 2024
$20M raised

Description

  • Lead end-to-end architecture for data platforms and pipelines, including scraping, extraction, transformation, storage, serving, and ML/LLM integration.
  • Design safe rollout plans and data-quality metrics to scale systems without disrupting production.
  • Translate business goals into actionable data products, including problem scoping, RFCs, and project sequencing.
  • Establish and enforce engineering standards for testing, evals, observability, data contracts, and security.
  • Lead architecture reviews, codify engineering patterns, mentor senior engineers, and improve team effectiveness through documentation, code reviews, and pairing.
  • Collaborate cross-functionally with software engineers, DevOps, product managers, and designers to shape AI solutions.
  • Prototype data and ML capabilities, evaluate feasibility and ROI, and decide what should be productionized.
  • Own the health, cost, and evolution of key data products and data platforms.
  • Provide mentorship to junior team members and help cultivate a collaborative engineering culture.

Requirements

  • 8+ years of experience building and operating production data systems.
  • Experience leading cross-cutting architectural changes and deploying LLMs in real-world, large-scale environments.
  • Strong Python experience and familiarity with modern service architectures.
  • Strong system design and data modeling fundamentals.
  • Extensive experience training and deploying machine learning models, particularly in NLP/LLM use cases.
  • Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
  • Fluency with operational maturity practices such as SLOs, on-call/incident response, and observability.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Demonstrated leadership experience with the ability to guide and inspire a team.
  • Comfort working in a startup environment with ambiguity and constant change.
  • Remote work flexibility in Germany, with the role linked to Berlin.

Benefits

  • Remote work flexibility within Germany.
  • Opportunity to join a fast-moving startup at an early stage.
  • Immediate ownership and impact on high-priority AI products.
  • Career growth upside as the company scales.
  • Work on challenging problems at the center of AI and mar-tech.
  • Join an experienced, high-performing team.
  • Exposure to a globally distributed organization with engineering based in Berlin and business operations in New York City.

Interested in this position?

Apply directly on the company website

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