Revenue Operations Manager (d/f/m)

Full Time
Dublin, Ireland
1 month ago
The Role: How you'll make an impact at Personio

Personio is Europe's leading HR software provider, empowering small and mid-sized organisations to grow and succeed. We believe people are the single most important success factor for any organisation.

The Revenue Operations team at Personio is a key strategic partner for our sales and customer growth leaders across strategy, analytics, operations, productivity and tools. Our team members are experts in revenue strategy and operations and great analytical thinkers. They are innately curious and strive to always understand and better the status quo.

We are looking for a dynamic and experienced Revenue Operations Manager to join our central operations team within RevOps. This is a team lead role where you will be leading a small but powerful team of high performers.

Role Responsibilities: What you'll do

  • Lead a team responsible for process optimization through both technology and operational design.

  • Develop and manage territory strategy and assignment to ensure efficient account distribution within a large revenue team.

  • Oversee the technology stack outside of Salesforce, including tools such as Gong, LinkedIn Nav, Data Enrichment Tools, and Lead Allocation Tools.

  • Collaborate with the central systems team to identify and implement potential improvements in Salesforce by understanding its build and object design.

  • Utilize large data sets to drive insights and ensure the most efficient account distribution.

  • Work closely with both pre-sales and post-sales operations to streamline processes and enhance overall efficiency.

Role Requirements: What you need to succeed

  • Extensive experience with Salesforce, including a deep understanding of its build and object design.

  • Proven experience managing a technology stack, with examples such as Gong, LinkedIn Nav, Data Enrichment Tools, and Lead Allocation Tools.

  • Solid understanding of territory management and confidence in using large data sets for decision-making.

  • Experience motivating and developing high-performing teams.

  • Experience working in a high-growth SaaS environment.

  • Strong analytical skills and attention to detail.

  • Excellent communication and interpersonal skills.

  • Experience owning a technology stack or being a key decision-maker in its management

  • Experience in both pre-sales and post-sales operations.

Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity

  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!)

  • Make an impact on the environment and society with 2 (fully paid) Impact Days –  one for an individual project of your choice and one for a company-wide initiative

  • Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares

  • Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework

  • Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more

  • Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations

  • Engage in a high-impact working environment with flat hierarchies and short decision-making processes