Enterprise Implementation Specialist, Americas

Palo Alto CA, US
Cambridge MA - US

About Ahrefs

Ahrefs is an all-in-one marketing intelligence platform used by marketers, businesses and agencies around the world. Our tools help people understand search demand, analyse competitors, improve website performance and research content opportunities, backed by 15 years of web crawling data and increasingly powered by AI.

We’re bootstrapped and profitable, and we have been for 15 years. There are no investors and no board, which means no outside timeline on our decisions. We’re multinational, with offices in Palo Alto, Cambridge (MA), Singapore and Tokyo, and our culture is fast-moving, low-ego, and built on smart decisions and ownership.

The role

We’re looking for an Enterprise Implementation Specialist to own the technical support and implementation after an enterprise customer signs.

That’s the whole job, and it’s a big one. You’ll take a brand-new Ahrefs Enterprise account from contract to fully live: setting up the account, migrating their keyword sets across from whatever they were using before, and running the onboarding training. When something breaks or someone gets stuck, you’re who they reach. When renewal comes around, the reason they say yes is largely the work you did in the first ninety days.

You’ll work directly alongside our Account Managers. They own the account strategy and the commercial relationship: where the customer is heading and what they need. You own making it real. It’s a genuine partnership, and it only works if both halves are strong.

This role is based out of one of our offices, Palo Alto (CA) or Cambridge (MA). You can be based in whichever you have the legal right to work in, but this is an on-site role. You’ll serve customers across the Americas.

What you’ll do

  • Run hands-on account setup for new enterprise customers, configuring projects, workspaces, permissions and integrations to match how each customer actually works.
  • Own keyword migrations end to end: audit what they have, map it across, move it, validate it, and make sure nothing quietly went missing.
  • Deliver onboarding training to customer teams, from the SEO practitioners to marketing managers.
  • Be the technical escalation point for your accounts: triage support requests, dig into the actual problem, resolve what you can, and drive what you can’t to the right people internally.
  • Turn what you learn into reusable assets (migration playbooks, training materials, documentation) so the tenth implementation is faster than the first.
  • Feed real customer friction back to Product.

Must have

  • 3-5 years in customer support, implementation, onboarding, technical account management, or a comparable hands-on post-sale role at a SaaS company.
  • Direct experience taking enterprise customers live. You’ve owned a go-live, not just supported one.
  • Genuine comfort with data migration work: mapping, transforming, validating, and explaining to a customer why their 40,000 keywords came across as 39,847.
  • The ability to run a training session and have the attendees leave able to do the thing.
  • Real technical range: APIs, integrations, CSVs, spreadsheets at scale, and the instinct to reproduce a bug before escalating it.
  • Strong written and verbal communication.
  • The ability to figure things out independently.
  • AI must be a part of your daily workflow.
  • A “first do it, then do it right, then do it better” mentality. The tenth implementation should be faster or smoother than the first.

Nice to have

  • Working knowledge of SEO: keyword research, rank tracking, site audits, backlinks. You don’t need to be a practitioner, but you should know what a customer means when they say their crawl budget is a problem.
  • Hands-on time with Ahrefs, or with a competing enterprise SEO platform.
  • Experience with enterprise onboarding at scale.
  • Experience working next to an account management or CS function.

What success looks like

In 6 months: you’ll be running enterprise implementations independently, start to finish. Account Managers will be routing technical questions to you by default rather than escalating them upward.

In 1 year: you’ll be the person who knows more about how enterprise customers deploy Ahrefs at scale than anyone else in the company. You’ll have a clear process and a view of where implementation should be automated rather than repeated.

Ahrefs does not engage with agencies or third-party recruitment providers for the roles we hire for. If we need help, we’ll let you know.

Location: Palo Alto (CA) or Cambridge (MA). On-site.

Ahrefs does not engage with agencies or third party recruitment solutions for the roles we hire for. If at any point we need help, we'll let you know! 

加入 Ahrefs。 与一支既高效交付又充满温度的团队共创影响力。

立即申请此职位

关于我们

Ahrefs 运行着一个互联网规模的爬虫,全天候抓取整个网络,并存储大量信息,以便及时索引和结构化处理。我们的后端系统采用定制的 PB 级分布式键值存储,能够高速处理所有接收的数据。借助这些数据,Ahrefs 构建了面向终端用户的 SEO 分析服务,以及一个互联网规模的搜索平台。我们是一支精简而高效的团队,坚信更先进的技术可以为现实世界的问题提供更好的解决方案。

我们的座右铭是:先完成,再完善,后完美

聆听我们团队的心声

Frontend

Every day is a new day where I get to solve interesting problems, or make improvements that have a positive impact on thousands of users.

Bryan Chen,

Frontend Developer

Marketing

You have autonomy to make things happen. Despite the size of Ahrefs’ business, I’m part of a really lean team—cool things you see from our platform or events are the result of self-driven initiatives from each of us

Constance Tan,

Product Marketer

Marketing

Being a Data Scientist at Ahrefs isn’t just about crunching numbers — it’s about learning, collaborating, and making real impact. The supportive team, challenging projects, and dynamic environment make every day an exciting opportunity for growth.

Xibeijia Guan,

Data Scientist

招聘流程

1

提交申请

只需在我们的招聘网站上申请相关职位即可。

2

招聘官电话沟通

进一步了解 Ahrefs、我们的团队和企业文化,并提前了解招聘流程。

3

一项任务

了解你未来团队的实际工作。

4

团队面试

面试流程很简单,通常一到两轮,直接和未来一起共事的同事交流认识。不会考 LeetCode、编程脑筋急转弯,也没有白板编程环节。

5

提供

没有更多面试轮次,也不需要委员会审批。期待加入我们的团队!