Engineering Manager (Data Team)

2 hours, 2 minutes ago
Lead
Software Development
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

  • Manage and support a team of 6 Data Engineers distributed across Europe.
  • Drive execution with high velocity, quality, reliability, and strong cross-functional alignment.
  • Implement and improve processes, tools, and metrics for scalable, repeatable delivery.
  • Reduce operational incidents and improve pipeline reliability.
  • Help the team shift from reactive firefighting to proactive engineering.
  • Foster a healthy, sustainable team environment and reduce burnout.
  • Position Data Engineering as a center of excellence for data across the organization.
  • Contribute to code reviews and engage deeply in architecture, technical decisions, and trade-offs.
  • Identify and address bottlenecks, inefficiencies, and misalignments.
  • Promote best practices around data ownership, data platforms, and data-driven decision making.

Requirements

  • Experience leading and scaling high-performing engineering teams across multiple organizations.
  • Experience with data platforms, data pipelines, or data infrastructure.
  • Understanding of data lakes, data warehousing, and large-scale data processing.
  • Background as a Data Engineer or Backend Engineer working with data systems is preferred.
  • Experience with Python, TypeScript, and cloud-native infrastructure, ideally AWS.
  • Experience operating in high data volume, complex orchestration, and reliability-focused environments.
  • Strong understanding of organizational architecture, domain-driven design, and data flow modeling.
  • Ability to lead with humility, clarity, and high standards.
  • Comfort working hands-on when needed while empowering others without micromanagement.
  • Previous startup experience and comfort working in fast-moving, ambiguous environments.

Benefits

  • Fully remote within the UK, with the role linked to London.
  • Opportunity to join a fast-moving startup during a critical growth phase.
  • Immediate ownership and impact on a high-performing team.
  • Significant career growth upside as the business scales.
  • Backed by a $20M Series A funding round led by NEA, with participation from Salesforce Ventures.

Interested in this position?

Apply directly on the company website

Apply Now

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