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Checkout.com

Senior Specialist, Enterprise Ramp Management

Checkout.com is hiring a Senior Specialist, Enterprise Ramp Management in New York, United States. It pays $168k-$198k a year and Level rates it ; you can apply on Checkout.com.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 168 other open roles at Checkout.com.
  • The role was posted in the last few days.

AI in this role

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.


We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

The Sr Specialist, Enterprise Ramp Management converts complex, enterprise deals into live, revenue-generating merchants through a disciplined, end-to-end launch process. The role owns the journey from merchant commitment through successful go-live, early ramp, and transition to Account Management and Technical Account Management teams. The role builds a bridge between Sales and Account Management and sets a foundation for long-term growth with Checkout.com.

Key Responsibilities

  • Own the transition from merchant commitment through launch: Confirm scope, commitments, stakeholders, dependencies, and target dates, then turn them into an executable launch plan.

  • Run the integrated delivery plan: Establish milestones, owners, meeting cadence, decision records, risk and issue tracking, dependency management, and escalation paths across the company and the merchant.

  • Lead client governance: Run project kickoffs, working sessions, and status reviews. Circulate agendas and decisions, track actions with owners and due dates, and maintain a clear record of what is complete, next, blocked, or awaiting a decision.

  • Communicate progress, risks, and recovery options: Provide concise and regular updates on accomplishments, upcoming work, blockers, risks, decisions required, and the impact of any change to the plan.

  • Drive launch readiness: Coordinate technical, operational, commercial, and customer readiness criteria. Lead the launch decision, cutover planning, and the initial support period after launch

  • Deliver a clean transition to the account team: Transfer implementation status, performance baseline, stakeholder map, open risks, operating model, growth opportunities, and every remaining action with a named owner and due date.

Ideal Candidate

  • 5+ years of experience in enterprise project or program management, ideally in payments, fintech, or complex B2B SaaS implementations.

  • Proven experience delivering complex, multi-workstream customer launches across technical, operational, and commercial stakeholders.

  • Strong project governance skills, including critical-path management, risk and dependency tracking, scope control, executive communication, and escalation management.

  • Coordinate with technical stakeholders to translate business requirements into technical actions

  • Commercially minded, with a focus on time-to-revenue, customer value, and long-term account potential.

  • Effective at building customer trust, and coordinating teams across functions, geographies, and time zones.

  • Passionate about building repeatable playbooks, and energized by refining and improving processes, as this is a new merchant-facing role.

Nice to have: Experience as an Implementation Manager, Launch Manager, Enterprise Onboarding Project Manager, Technical Program Manager, or equivalent; formal project management certification (PMP) is helpful but not required.

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

How we rate this

Senior Specialist, Enterprise Ramp Management at Checkout.com rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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