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About the Position As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes. As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You’ll raise the bar for data literacy across the department, craft and collaboration. You’ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust. This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our location in Berlin, but we are flexible about remote work in Germany. What You’ll Be Doing • Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost. • Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production. • Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team. • Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization. • Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing. • Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering. • Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. • Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk. Qualifications • 8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale. • Deep experience with Python and modern service architectures; strong system design and data modeling fundamentals. • Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure. • Fluency in operational maturity: SLOs, on‑call/incident practices, and observability. • Strong analytical and problem-solving abilities, with a bias towards action and outcomes. • Experience with data preprocessing, feature engineering, and model evaluation techniques. • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Demonstrated leadership experience, with the ability to guide and inspire a team. About Bluefish: Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, 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 is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise …

About the Position As a Senior AI Engineer, you'll spearhead the development of LLM-powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in machine learning, large language models, and natural language processing, you'll play a pivotal role in designing, implementing, and enhancing our range of AI-driven solutions. You'll hold direct responsibility for the LLM technology stack central to our product suite, collaborating closely with cross-functional teams, including application engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes. This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications. The role is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany. What You’ll Be Doing • Lead the development, training, and fine-tuning of large language models and LLM-driven solutions to tackle intricate NLP tasks. Implement and refine a robust, scalable architecture in production environments to ensure optimal performance. • Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability. Proactively address challenges concerning data quality, bias mitigation, and model interpretability. • Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities. • Collaborate closely with cross-functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation. • Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM-based solutions. Qualifications • Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real-world scenarios. • Strong theoretical and practical knowledge of machine learning and NLP. • Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools. • Strong analytical and problem-solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques. • Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems. • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team. About Bluefish: Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, 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 is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. Why Bluefish & Our Values: • Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI • Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry • Join an experienced high-performing team where you will have immediate ownership and impact • Experience a true meritocracy with significant career growth upside as the business scales Our Values: • Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment. • Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. • Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of …

About the Position As a Senior or Staff Data Scientist focusing on Analytics, you'll serve as the statistical backbone of Bluefish’s Data Science team. You'll own experimentation and causal inference frameworks, produce rigorous methodological work, and function as the key escalation point for data-driven decision-making across the organization. You'll collaborate closely with Data Analysts, Applied Researchers, and cross-functional stakeholders — including Product, Marketing Strategy and Services, and Operations — to deliver insights, harden the metrics we report, and deepen the capabilities of our platform. This role presents a greenfield opportunity to help define Bluefish's data science practice from the ground up, with direct impact on both our internal operations and the analytics products we deliver to customers. The role is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany. What You'll Be Doing • Own experimentation end-to-end — design, execute, and analyze A/B tests and other experiments; define statistical significance frameworks • Drive causal inference work — lead analyses that go beyond correlation to understand the mechanisms behind product and customer outcomes • Serve as the analytics escalation point — be the go-to resource across the org when problems require deeper statistical rigor • Build and maintain methodological standards — document and review statistical methods used across the team; ensure analytical quality and reproducibility • Produce research — author internal research papers, benchmark studies, and methodology documentation; contribute to external-facing analyses (e.g., vertical benchmarking, state of AI) • Support ad-hoc deep-dives — respond to data requests from RevOps, MSS, Operations, and leadership with fast turnaround and clear narrative Qualifications • Strong SQL and Python skills — you write production-quality queries and analytical scripts • Deep statistics background — hypothesis testing, confidence intervals, power analysis, causal inference • Extensive experience designing and operating experimentation frameworks at scale • Strong analytical and problem-solving abilities, with experience in data preprocessing, feature engineering, and model evaluation • Business acumen — you translate analytical findings into clear, actionable narratives for non-technical stakeholders • Excellent communication and narrative crafting skills, with the ability to explain complex methods to product, sales, and executive audiences • Experience working with LLM or AI product data is a strong plus • Familiarity with supervised learning techniques (e.g., regression, classification, gradient boosting) for predictive analytics use cases • Exposure to unsupervised learning methods (e.g., clustering, dimensionality reduction) for customer segmentation or behavioral analysis • Some experience working alongside or supporting ML model deployment — understanding inference pipelines, feature stores, or model monitoring • Comfort reading and interpreting NLP/ML research papers to stay current on methodological advances relevant to our data • Experience with BI/visualization tools (e.g., Looker, Omni, Tableau) About Bluefish Bluefish believes that AI represents the next major chapter of the internet — and that consumers will increasingly use AI to consume information and media online. On this new AI internet, 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 is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. Why Bluefish & Our Values • Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI • Tackle challenging and abstract problems while disrupting the $300BN legacy martech industry • Join an experienced high-performing team where you will have immediate ownership and impact • Experience a true meritocracy with significant career growth upside as the business scales Our Values: • Demonstrated grit and resourcefulness — you find creative solutions, adapt quickly, and aren't afraid to roll up your sleeves in a fast-paced, evolving …