出海雷达

市场营销运营经理

Marketing Operations Manager

市场运营职能支持限定地区(需当地身份)
公司Valorx
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间11 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

部门:市场部
地点:远程
汇报对象:美国市场总监
关于 Valorx

Valorx 正在重新定义企业与 Salesforce 数据的交互方式,提供企业级的、类似 Excel 的电子表格体验,使用户能够从 Salesforce 中实现以前无法实现的成果。我们的解决方案消除摩擦,简化数据管理并提高生产力——赋能团队在更短的时间内完成更多工作,同时数据始终留在 CRM 中。
为什么需要这个职位
我们不需要一个知道 Marketo 中按钮位置的人。我们需要一个已经解决过难题的人——去重噩梦、损坏的 Salesforce 同步、真正能告诉你什么有效的归因模型,以及根据真实购买信号响应的培育计划,而不是按时间表向所有人发送信息。
我们的技术栈包括 Marketo、Salesforce、Zapier 和不断增长的其他工具。担任此职位的人将设计它们之间的数据流动,提前发现并解决问题,并使用自动化和 AI 完成过去需要三个人团队才能完成的工作。
你思考的是数据流,而不仅仅是活动发送。你了解“在 Marketo 中工作”和“像基础设施一样运行 Marketo”的区别。
你将解决的实际问题
这不是一份通用的职责清单。这些是你从第一天起就要负责的实际挑战。
1. 真正有效的多触点归因
CEO 会问:“哪些渠道带来了销售线索?”你不会只是拉取一个最后触点报告就了事。

  • 在 Marketo 和 Salesforce 之间设计并实施多触点归因模型(W 型、线性或自定义)
  • 将每个触点——首次触点、线索创建、机会创建、成交——映射到正确的 Salesforce 营销活动和 Marketo 计划
  • 构建展示营销真正销售线索贡献的报告,而不仅仅是 MQL 数量
  • 处理混乱的现实情况:一个线索参加了网络研讨会,点击了三封邮件,访问了定价页面,然后他们的老板(另一个联系人)签了合同——谁应该获得信用?

2. 重复数据与数据质量管理
你的数据库有 200,000 条记录。15% 是重复的。有些是垃圾数据。有些在线索和联系人对象中存在同一人的三个版本。

  • 构建自动去重流程——通过电子邮件域名、公司名称标准化和模糊匹配识别重复项
  • 创建合并规则以保留最完整的记录(最新活动、最多字段填写、正确生命周期阶段)
  • 设置数据质量检查机制,确保数据准确性和一致性
查看英文原文

Department: Marketing
Location: Remote
Reports to: Director, Marketing - US
About Valorx

Valorx is redefining how businesses interact with their Salesforce data, delivering enterprise-grade, Excel-like spreadsheet experiences that enable users to drive outcomes from Salesforce not previously possible. Our solutions eliminate friction, streamline data management, and enhance productivity — empowering teams to get more done in less time, without data ever leaving the CRM.
Why This Role Exists
We don’t need someone who knows where the buttons are in Marketo. We need someone who has already solved the hard problems — deduplication nightmares, broken Salesforce syncs, attribution models that actually tell you what’s working, and nurture programs that respond to real buying signals instead of blasting everyone on a timer.
Our stack includes Marketo, Salesforce, Zapier, and a growing set of tools. The person in this role architects how data flows between them, catches problems before they become fires, and uses automation and AI to do what used to take a team of three.
You think in data flows, not just campaign sends. You know the difference between “working in Marketo” and “running Marketo like infrastructure.”
The Real Problems You’ll Solve
This isn’t a generic responsibilities list. These are the actual challenges you’ll own from day one.
1. Multi-Touch Attribution That Actually Works
The CEO asks: “Which channels are driving pipeline?” You don’t just pull a last-touch report and call it a day.

  • Design and implement a multi-touch attribution model (W-shaped, linear, or custom) across Marketo and Salesforce
  • Map every touchpoint — first touch, lead creation, opportunity creation, closed-won — to the correct Salesforce campaign and Marketo program
  • Build reporting that shows marketing’s true pipeline contribution, not just MQL counts
  • Handle the messy reality: a lead who attended a webinar, clicked three emails, visited the pricing page, and then their boss (a different contact) signed the deal — who gets credit?

2. Duplicate & Data Quality Management
Your database has 200K records. 15% are duplicates. Some are junk. Some have three versions of the same person across lead and contact objects.

  • Build automated deduplication workflows — identify duplicates by email domain, company name normalization, and fuzzy matching
  • Create merge rules that preserve the most complete record (latest activity, most fields populated, correct lifecycle stage)
  • Set up ongoing data hygiene campaigns: standardize job titles, normalize country/state fields, flag incomplete records, purge unmarketable leads on a schedule
  • Implement validation rules at the point of entry (forms, API imports, list uploads) so garbage doesn’t get in to begin with

3. The One-Marketo-Record-Creates-Multiple-SFDC-Records Problem
A lead exists in Marketo, syncs to Salesforce as a Lead, gets converted to a Contact, and somehow there’s now a duplicate Lead and a Contact for the same person. Or worse — the same email exists as a Lead under one account and a Contact under another.

  • Diagnose and fix Marketo-to-Salesforce sync issues: duplicate SFDC records, orphaned leads, contacts stuck in the wrong account
  • Build preventive sync logic — custom fields, sync filters, and flow steps that check “does this person already exist in SFDC as a Contact?” before creating a new Lead
  • Work with Sales Ops to establish lead-to-contact conversion rules that don’t break the Marketo sync
  • Monitor the Marketo sync error log daily and resolve field-level security issues, validation rule conflicts, and sync queue backlogs

4. Account Hierarchy & Domain Consolidation
A user signs up with a walmart.com email. Another signs up with samsclub.com. Another with flipkart.com. All three are Walmart subsidiaries — but your system treats them as three separate companies.

  • Build and maintain a domain-to-parent-account mapping system so subsidiary and acquired-company leads roll up to the correct parent account
  • Implement automated workflows that detect known subsidiary domains at the point of lead creation and associate them with the parent account in Salesforce
  • Handle edge cases: personal email domains (gmail, yahoo), recently acquired companies whose domains haven’t been mapped yet, joint ventures
  • Use enrichment tools (ZoomInfo, Clearbit) and AI-assisted matching to keep the domain mapping current as companies acquire, merge, or rebrand

5. Intent-Based Smart Campaigns (Pricing Page → Outreach → Nurture)
Someone visits your pricing page twice in one week. That’s not casual browsing — that’s buying intent. The system should act on it without waiting for a human to notice.

  • Build trigger-based smart campaigns that detect high-intent behaviors: repeated pricing page visits, competitor comparison page views, ROI calculator usage, multiple case study downloads
  • Automatically identify the visitor (via Munchkin tracking, form fill history, or enrichment), score them, and route a real-time alert to the assigned SDR with context
  • Enroll the lead into the appropriate nurture stream based on their behavior — not a generic drip, but a targeted sequence (e.g., pricing-page visitors get ROI-focused content, not top-of-funnel awareness emails)
  • Set up engagement program transitions: if a lead in a nurture stream hits a scoring threshold or takes a high-intent action, automatically move them to a sales-ready sequence and notify the rep

6. Record Purge & Database Governance
Your Marketo database is a cost center — you pay per record. A bloated database full of hard bounces, competitors, role-based emails, and leads who haven’t engaged in 18 months is wasting money and hurting deliverability.

  • Design and run systematic record purge campaigns: remove hard bounces, invalid emails, role-based addresses (info@, support@), known competitors, and long-term unengaged leads
  • Build a “sunset” workflow — leads with no engagement in 90 days get a re-engagement campaign; if no response after 30 more days, they’re marked unmarketable and purged
  • Create proactive data quality campaigns that run on schedule: flag records missing critical fields, identify leads stuck in lifecycle stages, detect email domains that suddenly start bouncing
  • Maintain a record retention policy aligned with compliance (GDPR, CAN-SPAM, CASL) and document the criteria for purging vs. archiving

7. AI & Automation-Driven Efficiency
You don’t do manually what can be automated. You actively look for ways to use AI tools, APIs, and workflow automation to eliminate repetitive work.

  • Use AI-powered tools for lead enrichment, predictive scoring, and content personalization at scale
  • Build Zapier/Make automations for cross-platform workflows: webinar registration → CRM update → Slack notification → nurture enrollment
  • Automate campaign QA: pre-send checklists, broken link detection, deliverability scoring
  • Leverage Marketo’s API for bulk operations, custom integrations, and data transformations that the UI can’t handle efficiently

Tools & Skills
Category What We Expect
Marketo Smart campaigns, lead scoring with decay, engagement programs, tokens, dynamic content, Munchkin tracking, deliverability, REST API
Salesforce Lead/Contact/Account objects, campaign management, reports/dashboards, lead conversion, field-level security
Integration Zapier/Make multi-step automations, REST APIs, webhooks
Enrichment ZoomInfo, Clearbit, or similar
Analytics GA4, Google Tag Manager, UTM tracking, funnel analysis
AI Tools AI-powered enrichment, predictive scoring, content personalization
Collaboration Slack, Google Workspace, Asana/Monday (or similar)
SEO Ahrefs (exposure preferred)
Certifications (Preferred): Marketo Certified Expert (MCE), Salesforce Administrator
Behavioral Skills (Non-Negotiable)

  • Ownership: You treat the marketing stack like your product — if sync breaks at 6pm, you don’t wait until Monday
  • Problem-solving over ticket-filing: Your first instinct when something breaks is to diagnose it yourself, not open a support ticket
  • Attention to detail: Naming conventions, data quality, and process adherence matter to you
  • Proactiveness: You flag problems before they become fires — you notice the bounce rate creeping up before deliverability tanks
  • Clear communication: You can explain a Salesforce sync issue to a non-technical stakeholder without jargon
  • Adaptability: You’re comfortable with shifting priorities in a fast-moving company

Originally posted on Himalayas

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