Marketing Engineer
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2026-09-05
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Software Development
AI Engineer (Applied/Software)
Job Title:
Marketing Engineer
Reports to: Head of Marketing
Department: Marketing/Growth Engineering
Employment Type: Full-time, Exempt
Location: On-Site Coconut Grove, FL (In-office role with remote work flexibility)
Annual Salary: $80,000 - $95,000 (commensurate with experience)
About UsTaxfyle is a premier online tax preparation platform dedicated to transforming how individuals and commercial entities file their tax returns. Headquartered in Coconut Grove, FL, Taxfyle connects clients with certified tax professionals to deliver a secure, efficient, and precise filing experience. Our mission is to streamline tax compliance through innovative technology, and we are currently seeking highly qualified professionals to join our organization.
OverviewThe Marketing Engineer is the applied-AI builder inside our marketing team. This person ships the AI systems that do marketing work: agents that research and draft, pipelines that produce content at scale, and automations that carry a lead from first touch to close without anyone copying data between tools. This is a hands‑on engineering role, not a prompt‑writing role. Our website, Hub Spot instance, and analytics stack are the substrate the AI runs on, so this role owns them too.
The mandate is to compound the team's output through systems. Work is done through version control, peer review, and staged deployment, in close partnership with Marketing, Design, Sales, Engineering, and Product.
- Build and operate production AI agents that do real marketing work: SEO research, competitive monitoring, content drafting and repurposing, design production, lead enrichment, and inbound triage.
- Integrate LLM APIs (Anthropic, OpenAI, and comparable providers) using tool calling, structured output, and retrieval over our brand and product knowledge, orchestrated in n8n, Zapier, or custom services.
- Decide where a human stays in the loop, and build the review and rollback paths that make autonomous output safe to publish.
- Own reliability and unit economics: monitoring, error handling, API cost tracking, and knowing when a cheaper model or a plain script beats an agent.
- Build evals and golden-set test cases for every agent in production, covering accuracy, brand voice, and factual grounding. Treat regressions as bugs.
- Version prompts and models so changes are traceable and reversible, and A/B test generated content against human baselines.
- Set internal guidelines for AI-generated marketing content, including review of any tax‑related claims.
- Own technical SEO (metadata, redirects, structured data, sitemaps, Core Web Vitals) and extend it to AI search: how Taxfyle gets retrieved and cited by answer engines.
- Build content pipelines that generate, refresh, and internally link pages beyond what a human team could maintain, with quality gates before anything publishes.
- Track brand visibility and citation share across AI assistants and traditional search.
- Build and maintain marketing sites, landing pages, and conversion flows in Type Script, React, and Next.js on a headless CMS such as Sanity.
- Ship AI-native site experiences where they earn their place (assistive search, guided qualification, personalization), measured on conversion rather than novelty.
- Keep performance and reliability healthy, and handle redirects and launches without breaking analytics or search.
- Own Hub Spot forms, workflows, and lifecycle logic, plus the integrations connecting Hub Spot to our product, warehouse, and internal services.
- Apply models where rules fall short: lead scoring, intent detection, routing, enrichment, and personalized lifecycle messaging.
- Find the root cause of workflow issues before building reusable fixes.
- Maintain event tracking (Google Tag Manager, Post Hog) and clean marketing data in Big Query.
- Build dashboards on acquisition, funnel performance, and campaign outcomes.
- Report AI system performance in the same terms as any other channel: output volume, quality scores, cost per output, and hours returned to the team.
- Professional…
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