About the Position: 

As a Staff AI Platform Engineer, you’ll play a pivotal role in shaping how AI is adopted and applied across our organization. You’ll be responsible for driving AI-first initiatives that improve developer productivity, streamline workflows, and unlock new product capabilities. This is a highly cross-functional role focused on delivering real business outcomes. 

We’re at an early stage in our AI journey. Teams are exploring different approaches, and there is strong curiosity and momentum across the organization. Your role will be to bring structure, standards, and clarity, helping teams use AI effectively and consistently while ensuring solutions scale across the business. 

Reporting to the VP of Engineering, you’ll work closely with engineering, product, and leadership teams to identify high-impact use cases, integrate AI into our software development lifecycle, and enable teams to build and ship faster. You’ll also help evaluate emerging technologies, including agentic capabilities, and guide how they can be applied to our products and internal workflows. 

Your success will depend on collaboration, influence, and the ability to align teams around practical, measurable solutions. You’ll act as a trusted advisor across the organization, coaching engineers, defining standards, and helping teams adopt AI in a way that improves productivity and delivers meaningful results. 

This role is remote in Germany.  

What you’ll be doing: 

• Drive the adoption of AI across the organization by identifying and implementing high-impact use cases that improve developer productivity and operational efficiency.  
• Integrate AI tooling into the software development lifecycle, enabling faster delivery, improved code quality, and more efficient workflows. 
• Define standards, guidelines, and best practices for how AI is used across teams to ensure consistency, scalability, and maintainability.  
• Provide input into the product roadmap based on a deep understanding of evolving AI and agentic technologies, helping the team identify new capabilities and product opportunities. 
• Work closely with teams to understand their workflows, gather requirements, and prioritize solutions that deliver measurable value.  
• Establish metrics and feedback mechanisms to evaluate the effectiveness of AI initiatives, including developer productivity and operational impact.  
• Coach and mentor engineers on how to effectively use AI tools and frameworks in their day-to-day work.  
• Contribute to building a culture of experimentation, continuous learning, and responsible AI adoption across the organization.  

Qualifications: 

• Strong background in software engineering, platform engineering, developer productivity, or similar roles focused on improving engineering workflows.  
• Hands-on experience designing and implementing AI-powered applications, automation workflows, or developer tooling.  
• Experience working in an AI-first or AI-enabled organization. 
• Experience integrating AI tools or capabilities into real-world engineering processes or products.  
• Strong system design and architectural thinking, with the ability to balance short-term experimentation with long-term scalability.  
• Experience working with modern programming languages such as TypeScript or Python.  
• Experience working with cloud platforms and distributed systems.  
• Demonstrated ability to gather requirements, prioritize use cases, and measure the impact of technical initiatives.  
• Strong communication and collaboration skills, with the ability to influence teams and drive adoption across an organization.  
• Experience working in fast-paced, evolving environments where ambiguity and experimentation are part of the process.  

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 outcomes. 
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. 
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. 
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. 

About the Position: 

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability.  As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up. 

This role is remote in Germany.  

What you’ll be doing: 

• Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring). 
• Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control) 
• Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services. 
• Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications. 
• Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes. 
• Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform. 
• Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints). 
• Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.
• Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits. 
• Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture. 

Qualifications: 

• Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment. 
• Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture. 
• Strong experience with CI/CD tools and practices, ideally GitHub Actions. 
• Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash). 
• Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes). 
• Solid understanding of networking, security best practices, and system performance monitoring. 
• Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging. 
• Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services. 

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 outcomes. 
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. 
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. 
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. 

About the Position

We are looking for a Staff Full-Stack Engineer who thrives at the intersection of product, infrastructure, and AI-driven development. In this role, you will lead the architecture and evolution of scalable web applications while shaping the long-term technical foundation of Bluefish’s AI marketing platform.

You will operate across teams, partnering closely with AI engineers, product managers, designers, and infrastructure engineers to translate ambiguous product ideas into robust, scalable systems. Beyond building features, you will define architectural patterns, guide technical direction, and ensure that engineering decisions scale with the company’s growth.

We’re looking for someone with a strong product and systems mindset who focuses on delivering durable solutions and measurable customer impact.

As a technical leader within the engineering organization, you will elevate engineering practices across teams, leading design reviews, mentoring senior engineers, and establishing standards that enable teams to move quickly while maintaining reliability and quality.

This role offers the opportunity to shape the architecture of core systems, influence company-wide technical strategy, and define how AI-assisted development powers the next generation of marketing technology.

The role is linked with our office in Berlin, but we offer remote work in Germany.

What You’ll Be Doing

• Lead the architecture and evolution of core product systems, ensuring scalability, reliability, and maintainability as the platform grows.
• Drive cross-team technical initiatives, aligning engineers across services and product surfaces around clear architectural direction and engineering standards.
• Translate ambiguous product ideas into scalable technical solutions, making pragmatic trade-offs across performance, complexity, cost, and time-to-market.
• Establish and uphold engineering standards across the stack, including testing strategies, observability practices, API contracts, and spec-driven development.
• Lead system scaling initiatives to support orders of magnitude growth, identifying architectural bottlenecks, redesigning critical paths, and proactively strengthening infrastructure.
• Partner deeply with AI engineers, product managers, designers, and DevOps to ensure technical decisions drive meaningful product outcomes.
• Multiply engineering impact across the organization through architecture reviews, mentoring senior engineers, documenting patterns, and improving development workflows.
• Guide adoption of emerging technologies in GenAI, LLMs, GEO, and AI-driven marketing, turning emerging capabilities into concrete product and technical bets.

Qualifications

• 8+ years building and operating production full-stack systems, with demonstrated ownership of large-scale architectural decisions or platform initiatives.
• Deep expertise with TypeScript and React, shipping production systems end-to-end. Experience or willingness to code with Python is required.
• Strong track record of system design and data modeling, with experience designing architectures that scale across teams and services.
• Fluent in AI-assisted development, leveraging LLM tooling to accelerate delivery while maintaining architectural integrity and code quality.
• Experience designing and operating AWS infrastructure using Terraform, with strong focus on security, cost-efficiency, and operational reliability.
• Experience building or maintaining systems operating on large datasets or high-volume event streams
• Proven ability to build high-throughput, fault-tolerant APIs, with expertise in query optimization, indexing strategies, and scalable data access patterns.
• Deep experience with observability and operational maturity, including SLIs/SLOs, distributed tracing, structured logging, and incident response.
• Demonstrated ability to lead technically, influencing engineering direction across multiple teams.
• Strong product mindset, partnering with product leaders to translate business goals into technical roadmaps and pragmatic system designs.
• Excellent communication skills, with the ability to explain complex technical concepts to both engineers and non-technical stakeholders.

Nice to have

• Experience working within a monorepo architecture
• Experience building LLM-powered products or AI-driven developer workflows

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 outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

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 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. Proficiency in Python. 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 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 outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

About the Position

We are looking for a Senior Full-Stack Engineer who thrives at the intersection of product, infrastructure, and AI-driven development. In this role, you will architect and build scalable web applications while helping shape the technical foundation of Bluefish’s AI marketing platform.

You’ll work closely with AI engineers, product managers, and designers to deliver impactful features, ensuring solutions are both technically sound and aligned with customer needs. We’re looking for someone with a strong product mindset who cares deeply about user outcomes, not just implementation.

As a collaborative team player, you will contribute to a culture of ownership, high engineering standards, and continuous improvement, mentoring teammates, participating in thoughtful design discussions, and helping the team move quickly while maintaining quality.

This role offers the opportunity to own critical systems, influence technical direction, and help define how AI-assisted development powers the next generation of marketing technology.

This role is remote in Germany.

What You’ll Be Doing

• Architect, Develop and own the implementation of scalable, secure web applications, making deliberate tradeoffs between speed, reliability, and complexity.
• Bridge design and engineering, validating technical feasibility of UI/UX designs and driving performance optimization from first render to database query.
• Set and enforce a high engineering bar through rigorous code reviews, coding standards, and spec-driven development (SDD) practices that keep the team aligned and moving fast.
• Lead system scaling initiatives to support 100x current load, identifying bottlenecks, redesigning critical paths, and hardening infrastructure before they become incidents.
• Work shoulder-to-shoulder with AI engineers, product managers, and designers to shape solutions that are technically sound and impactful.
• Stay ahead of shifts in GenAI, LLMs, GEO, and AI-driven marketing, translating emerging trends into concrete product and technical bets.

Qualifications

• 5+ years of full-stack experience with TypeScript and React, shipping production-grade applications end to end. Experience or willingness to code with Python is also required.
• Fluent in AI-assisted development, leveraging LLM tooling to accelerate delivery without compromising code quality or architectural integrity.
• Design, deploy, and operate AWS infrastructure using Terraform, with strong emphasis on security, cost-efficiency, and operational reliability.
• Build high-throughput, fault-tolerant APIs with deep expertise in query optimization, indexing strategies, and data access patterns at scale.
• Strong system design and data modeling fundamentals, with a track record of architecting solutions that hold up under real-world load.
• Own observability end-to-end: SLIs/SLOs, structured logging, distributed tracing, and alerting, driving incidents to root-cause resolution.
• Instrument user-facing metrics and feature adoption signals to close the feedback loop between engineering decisions and product outcomes.
• Product mindset with hands-on go-to-market experience, partnering with Product Managers to shape roadmap priorities, drive iterative development cycles, and translate business goals into sound technical decisions.

Nice to have:

• Design and implement enterprise-grade account and organization data models, including multi-tenant architectures supporting organizations, workspaces, users, and permissions.
• Architect and implement RBAC or ABAC permission systems that support fine-grained access control across APIs, services, and UI surfaces.
• Develop enterprise readiness features such as audit logs, admin controls, permission management, and compliance-oriented access patterns.
• Experience building or maintaining systems operating with large datasets.
• Experience working with Monorepo setup.

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 outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

About the Position:

We’re growing fast and our Engineering team will double in size over the next 3 months and we are looking for an Engineering Manager to join Bluefish’s engineering leadership team. This is not just a leadership role; it’s a unique opportunity to help shape the foundation of a fast-moving, product-driven startup during a critical phase of growth. 

In this role, you will lead our Data Engineering team, which is responsible for the pipelines and infrastructure powering our AI-driven commerce intelligence platform. Our systems acquire and process hundreds of millions of synthetic prompts and signals, and the platform is expected to scale significantly as our traffic grows rapidly over the coming months. 

A major focus of this role is helping the team evolve our data platform toward a scalable data lake architecture while maintaining reliability for critical production pipelines used by enterprise customers. 

You’ll lead the charge on execution, quality, and team culture. You'll help transform early-stage velocity into mature, high-performing teams, without losing the edge and pace that define great startups. 

At the same time, you will help the team move from a highly reactive operational mode toward a more sustainable, scalable engineering model, reducing incidents and freeing engineers to focus on higher-impact work such as platform improvements and new capabilities, while retaining excellent incident response practices. 

The role is linked with our location in Berlin, but we are fully remote in Germany.  

What you’ll be doing:

• Manage and support a team of 6 Data Engineers distributed across Europe, helping them focus on the most impactful technical initiatives as the platform scales. 
• Drive execution excellence, ensuring the team delivers with high velocity, quality, and reliability, while maintaining strong cross-functional alignment. Implement and evolve processes, tools, and metrics to support scalable and repeatable delivery. 
• Lead efforts to reduce operational incidents and improve pipeline reliability, helping the team move away from reactive firefighting toward proactive engineering. 
• Foster a healthy and sustainable team environment by helping the team manage workload, reduce burnout, and focus on meaningful engineering work. 
• Help position Data Engineering as a center of excellence for data, promoting best practices around data ownership, data platforms, and data-driven decision making across teams. Provide technical capabilities and repeatable patterns to enable the whole organization to use data at scale. 
• Contribute in code reviews and establish processes that keep pushing the bar on engineering excellence. While you might not code every day, you should be capable of engaging deeply on architecture, technical decisions, and trade-offs. 
• Identify and address bottlenecks, inefficiencies, or misalignments, always looking for ways to raise the bar. 

As our Engineering Manager you will:

• Have experience leading and scaling high-performing engineering teams in multiple organizations. 
• Have experience working with data platforms, data pipelines, or data infrastructure, and understand concepts such as data lakes, data warehousing, and large-scale data processing. 
• Ideally have a background as a Data Engineer or Backend Engineer working with data systems, with experience in technologies such as Python, TypeScript and cloud-native infrastructure (ideally AWS). 
• Have experience operating in environments with high data volume, complex orchestration, rapidly evolving systems, and strong reliability requirements. 
• Have a strong understanding of organizational architecture, domain driven design, and their impact on data flow modelling. 
• Lead with humility, clarity, and high standards. You’re as comfortable rolling up your sleeves when teams need it as you are empowering others by setting clear expectations and upholding the bar without micromanagement. 
• Have previous experience in a startup environment and thrive in fast-moving, ambiguous situations. You know how to operate without much structure, and enjoy building it. 

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 outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

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 outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.