Sr. Software Engineer, MarTech

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Software Engineer, MarTech based in the United States. Join a forward-thinking engineering team at the intersection of artificial intelligence, software development, and marketing technology. In this role, you will design, build, and deploy AI-powered applications that transform how marketing and sales teams operate. You will develop intelligent agents, machine learning pipelines, and advanced search solutions that improve prospecting, data quality, event engagement, and partner experiences. Working across digital marketing, revenue operations, and enterprise platforms, you will turn complex business challenges into scalable, measurable production solutions. You will also help establish responsible AI practices, strengthen system reliability, and integrate emerging technologies into existing workflows. This remote opportunity combines hands-on engineering, cross-functional collaboration, and technical mentorship to accelerate innovation across a global marketing ecosystem. Accountabilities - Discover and prioritize AI opportunities: Collaborate with marketing and sales stakeholders to identify, assess, and scope AI and machine learning use cases, defining success metrics linked to measurable business outcomes. - Develop AI-powered applications: Design, build, and deploy LLM-based agents for event invitations, account and contact prospecting, partner workflows, and other marketing initiatives, incorporating orchestration and human oversight where appropriate. - Improve lead and contact data quality: Develop machine learning and LLM-assisted pipelines to clean, deduplicate, enrich, validate, and score data across Salesforce, Marketo, and related platforms. Implement techniques to identify bots, fraudulent activity, and unreliable records.

- Modernize search and retrieval: Enhance website search and partner locator experiences using semantic and hybrid search, embeddings, and retrieval-augmented generation (RAG) grounded in approved content. - Strengthen marketing analytics: Apply AI-assisted analysis to improve partner lead return-on-investment reporting and increase the adoption and effectiveness of Adobe Analytics. - Establish evaluation and governance frameworks: Define performance metrics, evaluation methodologies, and regression tests. Monitor accuracy, latency, and operating costs while implementing personally identifiable information (PII) protections, consent enforcement, and audit logging in collaboration with Security, Privacy, and Legal teams. - Evaluate emerging technologies: Assess AI tools, LLM platforms, and native capabilities within marketing technology ecosystems, making informed recommendations on whether to build, buy, or adopt existing solutions. - Integrate enterprise platforms: Connect AI applications with Adobe Experience Cloud, Salesforce, Marketo, and other enterprise systems through APIs and event-driven architectures. - Maintain production reliability: Implement monitoring, alerting, and operational procedures for AI services. Support incident response, maintain runbooks, and ensure solutions remain reliable and scalable. - Collaborate across engineering teams: Coordinate with Adobe Experience Platform and infrastructure engineers on data access, development environments, and production releases. - Drive AI adoption and enablement: Train and mentor engineers, marketing operations professionals, and sales stakeholders on AI tools, prompt engineering, and responsible AI usage. Develop workshops, reusable templates, and practical documentation to encourage effective adoption. Requirements - Education: Bachelor's or master's degree in Computer Science, Data Science, or a related discipline, or equivalent practical experience.