Senior Customer AI Engineer at Bluefish AI | NY, US | Rezi

Senior Customer AI Engineer at Bluefish AI

Senior Customer AI Engineer

Bluefish AI · NY, US

5 days ago

Senior Customer AI Engineer

Bluefish AI · NY, US

5 days ago
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About the Role

Bluefish is seeking a Senior Customer AI Engineer to support enterprise customers in their AI Marketing initiatives, focusing on implementation, integration, optimization, and expansion. This role involves acting as a trusted technical partner, managing complex integrations, and helping customers derive value from Bluefish’s AI platform.

Responsibilities

  • Support the technical relationship for assigned customer accounts, serving as the primary point of contact for integrations, configurations, and advanced technical questions.
  • Support RFP and RFI responses, expanding technical sections and helping streamline internal processes for scale and consistency.
  • Guide and support customer integrations, including APIs, MCPs, data feeds, product catalogs, and other platform dependencies.
  • Design and support custom technical solutions, in a consultative manner with customers, producing: dashboards, data exports, integrations, and bespoke agentic workflows.
  • Partner with customers on complex optimization measurement, automation, and performance validation to ensure measurable business impact.
  • Collaborate closely with product, engineering, sales, and customer success to surface customer feedback and inform roadmap priorities.
  • Help identify opportunities for account expansion and deeper platform adoption through technical use cases and optimization strategies.

Requirements

  • Minimum of 5+ years of experience in a Technical Account Manager, Senior Solutions Engineer, Senior Customer Engineer, or similar client-facing technical role, ideally in SaaS, AI, or marketing technology.
  • Strong hands-on experience using, connecting, managing APIs, MCPs, A2A, data feeds, and system integrations, and agentic automation.
  • Strong hands-on experience with ETL processes: transforming data, data mapping, data extraction.
  • Solid AI and AI/ML proficiency, with the ability to clearly explain complex technical concepts to non-technical stakeholders.
  • Working knowledge of databases, data management, and analytics concepts.
  • Proven ability to drive value and adoption in Fortune 500 or global enterprise accounts.
  • Comfortable operating in ambiguous environments and building or improving processes as the company scales.
  • Exceptional communication skills-written, verbal, and visual-with the ability to engage stakeholders at all levels.
  • A consultative, customer-first mindset with a track record of delivering outcomes.
  • Comfort working in fast-paced, startup environments with cross-functional collaboration.

Skills

  • APIs
  • MCPs
  • A2A
  • Data feeds
  • System integrations
  • Agentic automation
  • ETL processes
  • Data transformation
  • Data mapping
  • Data extraction
  • AI
  • AI/ML
  • Databases
  • Data management
  • Analytics
  • Communication skills

Location

  • New York City
  • Berlin

Work Type

  • Globally distributed team

Experience Level

  • Senior
  • 5+ years

About the Company

  • Bluefish believes that AI represents the next major chapter of the internet, and consumers will increasingly use AI to consume information and media online. Brands will need new tools and technologies to tell their stories to consumers online, and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
  • The Bluefish team consists of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft.
  • Bluefish is the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta.
  • We are a globally distributed team, with business operations based in New York City and engineering based in Berlin.