AI Solutions Engineer/Lead - Agentic AI Marketing Platform
Curb
Marketing & Communications, Software Engineering, Data Science
San Francisco, CA, USA
Posted on Mar 16, 2026
Head of AI Solutions Engineering — Marketing Intelligence Platform
Lead the next generation of AI-powered marketing solutions. A fast-growing technology platform focused on artificial intelligence for enterprise marketing teams is seeking a leader to build and guide a new team responsible for delivering cutting-edge applications powered by AI-assisted development. The platform helps large brands identify better audiences, optimize digital campaigns, and adapt their strategies for a rapidly evolving AI-driven marketing landscape.
This role sits at the intersection of product innovation, enterprise customer delivery, and AI-assisted software development. You will lead a team responsible for building real-world applications for global brands while identifying the product patterns that will shape the platform’s future capabilities.
The position is designed as a hands-on leadership role. You will guide the team’s strategy and standards while also actively building solutions yourself—working directly with customers, experimenting with AI development tools, and defining the processes that enable rapid, high-quality application delivery.
Role Overview
The Head of AI Solutions Engineering will oversee a growing team responsible for designing and delivering AI-enabled marketing applications for enterprise clients. These solutions help brands improve audience targeting, campaign performance, and data-driven marketing insights using advanced analytics and synthetic data enrichment.
In addition to leading the team, this role plays a strategic role in shaping the evolution of the platform itself. By identifying patterns across customer engagements, the leader will help determine which solutions should evolve into scalable platform features or product capabilities.
The role reports directly to executive technical leadership and operates within a hybrid work environment requiring in-office collaboration multiple days each week.
Key Responsibilities
Enterprise Customer Delivery
Lead the delivery of sophisticated marketing applications for enterprise clients. Guide engagements from early discovery through final deployment, ensuring solutions meet performance, usability, and reliability expectations.
Translate customer needs into production-ready applications using AI-assisted development tools and modern software frameworks. Deliver solutions that integrate with existing marketing systems and data environments.
Continuously refine delivery workflows to reduce the time between discovery and production deployment while maintaining high standards for quality.
Technical Leadership & Complex Builds
Set the technical benchmark for the solutions team by taking ownership of the most challenging or strategically important customer projects.
Design scalable architectures and guide engineers in building reliable applications that leverage AI-assisted development tools effectively.
Ensure every solution delivered by the team meets enterprise standards for performance, stability, and user experience.
Team Leadership & Development
Recruit, mentor, and manage a team of AI Solutions Engineers responsible for building applications using AI coding agents and modern development frameworks.
Provide coaching on working effectively with AI-assisted coding tools, reviewing generated code, and collaborating with enterprise clients.
Create an environment where engineers continuously improve their ability to combine human expertise with AI-driven development workflows.
Product & Platform Strategy
Identify patterns across customer solutions that reveal opportunities for platform-level features.
Work closely with product and engineering leadership to transform repeatable customer solutions into scalable product capabilities.
Help define the boundaries between custom-built applications and core platform functionality.
Operational Playbook for AI Development
Develop and refine a structured methodology for building applications using AI-assisted development tools.
Establish standards for prompt design, code review, quality control, and performance benchmarking for AI-generated code.
Document best practices and continuously evolve development workflows as AI tooling advances.
Technology Evaluation
Stay closely aligned with emerging AI development tools and coding agents. Evaluate new technologies and integrate those that meaningfully improve development speed, quality, or reliability.
What Success Looks Like
Within the first several months, the successful candidate will have built a small but highly effective team capable of delivering high-quality marketing applications for enterprise clients. The team will operate with a documented methodology for AI-assisted development that improves delivery speed while maintaining strong engineering standards.
Over time, insights from customer engagements will generate repeatable solution patterns that influence the platform’s product roadmap, enabling future applications to be built faster and more consistently.
The ultimate measure of success is clear: enterprise customers receive better solutions faster, and the engineering team becomes increasingly efficient at delivering them.
Required Qualifications
Marketing Technology Expertise
Experience in adtech or martech environments, particularly working with consumer brands focused on audience targeting, campaign performance, and growth optimization.
Product or Technical Leadership Background
Previous experience in product management, product engineering, or technical consulting roles that involve direct collaboration with enterprise clients.
Technical Fluency
Strong understanding of modern software development including API design, data modeling, and distributed system architecture. Ability to read and evaluate code in languages such as Python, SQL, and JavaScript frameworks like React.
AI-Assisted Development Experience
Hands-on experience building applications using AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar technologies.
Leadership Experience
Proven ability to lead and develop small teams in startup or high-growth technology environments.
Enterprise Client Engagement
Comfort working directly with executive-level stakeholders while also engaging deeply with technical implementation challenges.
Builder Mindset
A strong preference for hands-on work—actively building systems rather than managing from a distance.
Preferred Qualifications
Experience building or scaling solutions engineering, professional services, or technical consulting organizations.
Background in marketing data technologies such as customer data platforms (CDPs), data management platforms (DMPs), or marketing analytics solutions.
Experience with programmatic advertising ecosystems and audience enrichment technologies.
Exposure to privacy-safe marketing data techniques such as synthetic data generation or clean room data collaboration.
Experience establishing development frameworks or methodologies for newly formed technical teams.
Work Environment
This position follows a hybrid schedule with regular in-office collaboration several days each week. The role involves close collaboration with executive leadership, engineering teams, and enterprise clients across the marketing technology ecosystem.
How to Apply
Candidates are encouraged to share examples that demonstrate their experience building real applications with AI development tools. This may include shipped projects, internal frameworks, development methodologies, or technical write-ups describing how they approach AI-assisted software development.
The goal is simple: show how you think about building with AI—and how you help others do it better.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
Lead the next generation of AI-powered marketing solutions. A fast-growing technology platform focused on artificial intelligence for enterprise marketing teams is seeking a leader to build and guide a new team responsible for delivering cutting-edge applications powered by AI-assisted development. The platform helps large brands identify better audiences, optimize digital campaigns, and adapt their strategies for a rapidly evolving AI-driven marketing landscape.
This role sits at the intersection of product innovation, enterprise customer delivery, and AI-assisted software development. You will lead a team responsible for building real-world applications for global brands while identifying the product patterns that will shape the platform’s future capabilities.
The position is designed as a hands-on leadership role. You will guide the team’s strategy and standards while also actively building solutions yourself—working directly with customers, experimenting with AI development tools, and defining the processes that enable rapid, high-quality application delivery.
Role Overview
The Head of AI Solutions Engineering will oversee a growing team responsible for designing and delivering AI-enabled marketing applications for enterprise clients. These solutions help brands improve audience targeting, campaign performance, and data-driven marketing insights using advanced analytics and synthetic data enrichment.
In addition to leading the team, this role plays a strategic role in shaping the evolution of the platform itself. By identifying patterns across customer engagements, the leader will help determine which solutions should evolve into scalable platform features or product capabilities.
The role reports directly to executive technical leadership and operates within a hybrid work environment requiring in-office collaboration multiple days each week.
Key Responsibilities
Enterprise Customer Delivery
Lead the delivery of sophisticated marketing applications for enterprise clients. Guide engagements from early discovery through final deployment, ensuring solutions meet performance, usability, and reliability expectations.
Translate customer needs into production-ready applications using AI-assisted development tools and modern software frameworks. Deliver solutions that integrate with existing marketing systems and data environments.
Continuously refine delivery workflows to reduce the time between discovery and production deployment while maintaining high standards for quality.
Technical Leadership & Complex Builds
Set the technical benchmark for the solutions team by taking ownership of the most challenging or strategically important customer projects.
Design scalable architectures and guide engineers in building reliable applications that leverage AI-assisted development tools effectively.
Ensure every solution delivered by the team meets enterprise standards for performance, stability, and user experience.
Team Leadership & Development
Recruit, mentor, and manage a team of AI Solutions Engineers responsible for building applications using AI coding agents and modern development frameworks.
Provide coaching on working effectively with AI-assisted coding tools, reviewing generated code, and collaborating with enterprise clients.
Create an environment where engineers continuously improve their ability to combine human expertise with AI-driven development workflows.
Product & Platform Strategy
Identify patterns across customer solutions that reveal opportunities for platform-level features.
Work closely with product and engineering leadership to transform repeatable customer solutions into scalable product capabilities.
Help define the boundaries between custom-built applications and core platform functionality.
Operational Playbook for AI Development
Develop and refine a structured methodology for building applications using AI-assisted development tools.
Establish standards for prompt design, code review, quality control, and performance benchmarking for AI-generated code.
Document best practices and continuously evolve development workflows as AI tooling advances.
Technology Evaluation
Stay closely aligned with emerging AI development tools and coding agents. Evaluate new technologies and integrate those that meaningfully improve development speed, quality, or reliability.
What Success Looks Like
Within the first several months, the successful candidate will have built a small but highly effective team capable of delivering high-quality marketing applications for enterprise clients. The team will operate with a documented methodology for AI-assisted development that improves delivery speed while maintaining strong engineering standards.
Over time, insights from customer engagements will generate repeatable solution patterns that influence the platform’s product roadmap, enabling future applications to be built faster and more consistently.
The ultimate measure of success is clear: enterprise customers receive better solutions faster, and the engineering team becomes increasingly efficient at delivering them.
Required Qualifications
Marketing Technology Expertise
Experience in adtech or martech environments, particularly working with consumer brands focused on audience targeting, campaign performance, and growth optimization.
Product or Technical Leadership Background
Previous experience in product management, product engineering, or technical consulting roles that involve direct collaboration with enterprise clients.
Technical Fluency
Strong understanding of modern software development including API design, data modeling, and distributed system architecture. Ability to read and evaluate code in languages such as Python, SQL, and JavaScript frameworks like React.
AI-Assisted Development Experience
Hands-on experience building applications using AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar technologies.
Leadership Experience
Proven ability to lead and develop small teams in startup or high-growth technology environments.
Enterprise Client Engagement
Comfort working directly with executive-level stakeholders while also engaging deeply with technical implementation challenges.
Builder Mindset
A strong preference for hands-on work—actively building systems rather than managing from a distance.
Preferred Qualifications
Experience building or scaling solutions engineering, professional services, or technical consulting organizations.
Background in marketing data technologies such as customer data platforms (CDPs), data management platforms (DMPs), or marketing analytics solutions.
Experience with programmatic advertising ecosystems and audience enrichment technologies.
Exposure to privacy-safe marketing data techniques such as synthetic data generation or clean room data collaboration.
Experience establishing development frameworks or methodologies for newly formed technical teams.
Work Environment
This position follows a hybrid schedule with regular in-office collaboration several days each week. The role involves close collaboration with executive leadership, engineering teams, and enterprise clients across the marketing technology ecosystem.
How to Apply
Candidates are encouraged to share examples that demonstrate their experience building real applications with AI development tools. This may include shipped projects, internal frameworks, development methodologies, or technical write-ups describing how they approach AI-assisted software development.
The goal is simple: show how you think about building with AI—and how you help others do it better.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
