Job SummaryYour Responsibilities- Design and implement AI-driven systems, including agent-based architectures and workflow orchestration that automate and optimize marketing and GTM processes
- Lead the end-to-end delivery of complex MarTech initiatives, from technical design through implementation and operational readiness
- Build and evolve intelligent workflows that combine LLMs, rules, tools, and data signals to support personalization, lifecycle marketing, and operational automation
- Own full-stack solutions spanning user interfaces, APIs, backend services, data pipelines, and AI integration layers
- Partner closely with product managers and stakeholders to translate business needs into scalable technical designs
- Influence architecture and implementation decisions within and across teams by clearly articulating tradeoffs and design rationale
- Promote strong engineering practices, including code quality, testing, observability, and system reliability
- Mentor senior and mid-level engineers, helping raise the bar on design quality and end-to-end ownership
- Identify opportunities to reduce manual effort, simplify integrations, and replace brittle workflows with durable platform capabilities
- Stay current on advances in AI agents, orchestration patterns, and full-stack technologies, applying them thoughtfully where they add clear value
Qualifications Your ExperienceRequired Experince- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 7 or more years of experience in software engineering, with strong full-stack development experience
- Hands-on experience integrating LLMs in production systems, including prompt design, tool calling, and evaluation approaches
- Demonstrated experience building AI agent-based systems in production, including orchestration of LLMs, tools, and workflows
- Strong backend engineering skills using languages such as Java, Kotlin, Python, or Node.js
- Solid frontend experience with modern frameworks such as React or similar
- Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or GCP
- Familiarity with event-driven architectures, asynchronous processing, and data streaming patterns
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Ability to lead technical initiatives and influence peers through strong engineering judgment and clear communication
Preferred Experience- Experience applying AI systems to marketing, customer engagement, or GTM workflows
- Exposure to vector databases, embeddings, retrieval-augmented generation, or feature stores
- Understanding of data governance, privacy, and compliance considerations in enterprise environments
- Experience working in agile development environments
- A track record of improving system reliability, scalability, or developer productivity through thoughtful design
Compensation DisclosureThe compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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Is role eligible for Immigration Sponsorship?: Yes
