Bluefish AI

• 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.

• 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.

• Design, build, and maintain scalable data pipelines that ingest, transform, and validate large volumes of data across multiple sources and channels. • Improve the scalability, reliability, and performance of our data pipelines to support rapidly growing workloads and new data streams. • Contribute to the design and implementation of our Data Lake architecture, enabling reliable data storage and reuse across teams. • Manage and optimize data ingestion workflows, including data collected from web scrapers, third-party vendors, and internal systems. • Monitor pipeline health, investigate incidents, and implement improvements to increase system reliability and observability. • Support the onboarding and integration of new AI channels and data sources into the platform. • Collaborate with teams across the organization to ensure data generated by different systems can be reused effectively for analytics and business intelligence. • Identify and resolve performance bottlenecks in distributed systems, including rate limiting, concurrency, and throughput constraints. • Advise engineering and product teams on data architecture, data quality, and best practices for managing scalable data workflows. • Continuously evaluate and improve our data platform to support the company’s rapid growth and evolving product needs.

• 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.

• 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.

• 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

• 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.

• 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.

• Own the success and growth of key customer and agency relationships. Thoroughly understand key growth drivers, identify opportunities for product usage and expansion, manage risks, and build strategic plans to achieve customer business objectives. • Build and maintain strong relationships with key decision-makers within Fortune 500 companies and agencies. • Provide strategic consulting to executives, business leaders, and hands on teams, helping them navigate AI marketing and fully leverage Bluefish products to achieve their business objectives. • Develop case studies and best practices that showcase thought leadership and deliver actionable insights to customers. • Continuously monitor industry trends within the marketing technology landscape, adjusting account strategies proactively to align with market dynamics. • Ensure clear communication between internal and customer teams. Advocate internally for customer needs, ensuring that client feedback is incorporated into service and product enhancements. • Proactively monitor account health through regular assessments of customer satisfaction, product usage, and service delivery. • Oversee renewal processes and actively seek opportunities for account expansion. Manage complex contract negotiations, effectively communicating terms to customers and internal stakeholders, and ensure ongoing contract compliance.

• Own value delivery for a large, multi-market book of business, ensuring users reach meaningful value milestones through a mix of direct engagement and scaled programs. • Design and run 1:few and 1:many customer touchpoints, including client office hours, training webinars, and value-focused sessions that drive adoption and product understanding. • Partner closely with Account Leads to ensure scaled programs reinforce global business goals, renewals, and expansion efforts. • Help define and refine persona-based value goals and success patterns, translating customer insights from your book of business into repeatable enablement assets and playbooks for the broader customer base. • Collaborate cross-functionally with Product, CS Ops, Growth, Services, Sales and Support to deliver a seamless customer experience. • Monitor program effectiveness using usage data and customer feedback to continuously improve outcomes. • Translate risk signals into effective multi-medium mitigation strategies that address adoption gaps and improve retention outcomes. • Develop and maintain excellent knowledge of the Bluefish product and AI ecosystem to strategically advise customers and contribute to thought leadership.