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 the architecture and evolution of core product systems to ensure scalability, reliability, and maintainability.
  • Drive cross-team technical initiatives and align engineers around architectural direction and engineering standards.
  • Translate ambiguous product ideas into scalable technical solutions and make pragmatic trade-offs.
  • Establish and uphold engineering standards across testing, observability, API contracts, and spec-driven development.
  • Lead system scaling efforts, identify bottlenecks, redesign critical paths, and strengthen infrastructure proactively.
  • Partner with AI engineers, product managers, designers, and DevOps to deliver strong product outcomes.
  • Lead architecture reviews, mentor senior engineers, document patterns, and improve development workflows.
  • Guide adoption of emerging technologies in GenAI, LLMs, GEO, and AI-driven marketing.
  • Influence engineering direction across multiple teams as a technical leader.

Requirements

  • 8+ years of experience building and operating production full-stack systems.
  • Demonstrated ownership of large-scale architectural decisions or platform initiatives.
  • Deep expertise with TypeScript and React, shipping production systems end to end.
  • Experience with Python is required, or willingness to code with Python.
  • Strong system design and data modeling experience for architectures that scale across teams and services.
  • Fluent in AI-assisted development and LLM tooling while maintaining code quality and architectural integrity.
  • Experience designing and operating AWS infrastructure using Terraform, with attention to security, cost-efficiency, and reliability.
  • Experience building or maintaining systems with large datasets or high-volume event streams.
  • Proven ability to build high-throughput, fault-tolerant APIs with query optimization, indexing, and scalable data access patterns.
  • Deep experience with observability and operational maturity, including SLIs/SLOs, distributed tracing, structured logging, and incident response.
  • Strong product mindset and excellent communication skills for working with technical and non-technical stakeholders.
  • Experience working within a monorepo architecture, preferred.
  • Experience building LLM-powered products or AI-driven developer workflows, preferred.

Benefits

  • Remote work available in the UK, with the role linked to the London office.
  • Opportunity to join a fast-moving startup early and have immediate ownership and impact.
  • Career growth upside as the business scales.
  • Work on challenging problems at the center of AI and the mar-tech industry.
  • Join a globally distributed team with engineering based in Berlin and business operations in New York City.
  • Backed by a $20M Series A led by NEA, with participation from Salesforce Ventures and other investors.

Interested in this position?

Apply directly on the company website

Apply Now

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