2 дня назад
Senior Growth Marketing Engineer (AI)
93 092 - 155 152$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Growth Marketing Engineer (AI): Building AI-driven revenue systems, data models, automated workflows, and ABM infrastructure that turn buying signals into coordinated go-to-market execution with an accent on data enrichment, scoring, attribution, and enterprise account engagement. Focus on designing scalable marketing automation, integrating complex martech stacks, and connecting campaign performance with pipeline and sales outcomes.
Location: San Jose, California (Hybrid). Applicants must be authorized to work in the United States without employer-sponsored visa support.
Salary: $93,092–$155,152 USD per year.
Company
, a Lumen company, provides a programmable cloud networking platform for connecting, securing, and operating enterprise clouds, sites, partners, data centers, and AI workloads.
What you will do
- Audit, unify, and rationalize marketing and revenue data across HubSpot, Marketo, Salesforce, Demandbase, and Userled.
- Build AI-powered enrichment, lead and account scoring, dynamic ICP frameworks, attribution models, and revenue dashboards.
- Deploy AI agents and automated workflows for outreach, ABM campaigns, lead routing, seller context, call preparation, and CRM hygiene.
- Build and operate ABM infrastructure for Lumen’s enterprise customer base, including account segmentation, prioritization, and intent-based engagement.
- Design account-level workflows across paid, owned, and outbound channels, and track account progression through pipeline stages.
- Create closed-loop feedback systems connecting campaign execution, sales outcomes, conversion rates, and sales efficiency.
Requirements
- 5+ years of experience in growth marketing engineering, revenue operations, or marketing automation.
- Hands-on experience building AI-powered workflows and revenue automation for go-to-market teams.
- Experience with ABM platforms such as Demandbase or Userled, including account identification, segmentation, and intent-based engagement.
- Experience with AI-native enrichment platforms such as Clay, Apollo, or similar tools.
- Proficiency with complex martech stacks, including HubSpot, Marketo, and Salesforce, plus Make, Zapier, n8n, or custom integrations.
- Strong analytical skills, including scoring models, attribution frameworks, dashboards, and the ability to translate business problems into scalable technical solutions.
Nice to have
- SQL or Python experience for data manipulation and modeling.
- Background in B2B SaaS, enterprise networking, or cloud infrastructure.
- Experience consolidating technology stacks after an acquisition.
Culture & Benefits
- Hybrid work environment in San Jose, California.
- Fast-moving, AI-focused organization with clear expectations and shared accountability.
- Collaborative culture focused on solving complex problems and delivering enterprise networking solutions.
- Employment includes a background screening where applicable.
Hiring process
- Coding challenge.
- Screening with the hiring manager.
- Technical interviews.
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