Jobs at Bluefish

The Technical Product Manager will lead the product lifecycle in text processing and analytics for brand data, collaborating with various teams to innovate and enhance customer value.

The Product Lead will manage the entire product lifecycle, define product vision, align products with customer needs, and ensure successful execution in an AI marketing landscape.

The Customer AI Analyst will optimize customer accounts for AI success, engage clients with insights, and collaborate on data-driven strategies while managing multiple projects.

The Account Lead manages customer relationships, advises on AI marketing, develops account plans, and ensures customer success and retention for Fortune 500 companies.

The Sales Director drives enterprise SaaS sales, engages with C-suite executives, and develops account strategies to achieve revenue growth and build partnerships.

The Senior UX Designer will lead the design lifecycle, create user-centered features, collaborate cross-functionally, and maintain a cohesive design system.

Drive business growth by serving as a trusted advisor to enterprise brands, providing technical guidance and strategic insights for AI-driven marketing solutions.

Lead experimentation and causal inference efforts: design, run, and analyze A/B tests; establish methodological standards; support cross-functional analytics escalations; produce research and benchmarks; enable predictive and segmentation modeling; and deliver fast, actionable analytics for product, marketing, and operations stakeholders.

The Strategic Customer Success Lead manages enterprise accounts, ensures customer value and adoption of AI tools, and provides strategic guidance in campaign strategies and measurement.

Lead the design, implementation, and enhancement of LLM-powered AI solutions, collaborating with teams to drive innovation and business outcomes.

As a Senior Data Engineer, you'll design, implement, and optimize scalable data pipelines and Data Lake architecture, collaborate cross-functionally, and ensure data reliability and quality in a rapidly growing AI-driven environment.

The Director of Finance will oversee FP&A, core accounting, financial controls, and compliance while building scalable processes for the finance department.

Lead and scale account teams to drive revenue retention and expansion across industry verticals. Translate growth strategy into execution, establish account planning and forecasting best practices, run reviews, sponsor executive relationships, and collaborate cross-functionally to deliver measurable customer outcomes.

Lead architecture and execution of data platforms and LLM-powered products: design and scale data pipelines, integrate and deploy models, define engineering standards (testing, evals, observability, SLOs), mentor engineers, drive cross-functional delivery, and optimize reliability, cost, and product outcomes for enterprise customers.

Lead architecture and delivery of LLM-powered data platforms and pipelines: data extraction, transformation, storage, model integration, deployment and evaluation. Drive scalability, reliability, cost-efficiency, engineering standards, and cross-functional collaboration. Mentor engineers, lead architecture reviews, prototype and productionize ML capabilities, and ensure operational maturity (SLOs, observability, on-call). Translate business goals into data products for enterprise customers.

The Director of HR will design and execute a people strategy, improve talent acquisition, manage performance frameworks, and ensure compliance while cultivating an inclusive culture.

Serve as a senior, client-facing advisor guiding enterprise customers on AI-driven marketing strategy, adoption, and optimization. Own strategic relationships, deliver executive insights and QBRs, translate data into action, codify best practices, and collaborate cross-functionally to align product and customer outcomes.

The Events Lead will manage Bluefish's global events strategy and execution, overseeing all operational aspects, collaborating with executives, and developing engaging content and programming while ensuring events align with marketing goals and budgets.

Lead end-to-end technical research into how AI models perceive and rank brands. Build and own research stack, design experiments, produce clean datasets and actionable insights, author credible content with Editorial, create scalable research playbooks, and partner with Product and Engineering on platform performance.

The Senior Customer AI Engineer will support enterprise customers' AI Marketing efforts, focusing on integrations, technical solutions, and optimizing customer outcomes while maintaining effective communication across teams.