Top Tech Jobs & Startup Jobs

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

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 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 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.

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

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.

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.

Design and build backend services for data processing, ensure reliable data movement, collaborate with teams, and guide technical decisions in a senior role.

The VP of Product will lead product strategy and execution, build and mentor a product team, and align organization around customer needs. Responsibilities include defining product vision, driving innovation, and representing the product externally.