Marketing Ops
Marketing Ops organises the tools, data and processes that enable the marketing team to run and measure its campaigns.
Written by Romain PichouPublished on Updated on
Marketing Ops: hiring for this role?
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Definition and scope
Marketing Ops, or marketing operations, organises the processes, tools and data that enable a marketing team to execute its strategy. The role helps the team deliver campaigns, makes information usable and clarifies how marketing and sales work together. Depending on the organisation, the job may be called Marketing Ops Manager without involving leadership of the marketing department.
Its scope includes automation, the flow of data between marketing tools and the CRM, campaign preparation and checks, and interpreting results. The role may contribute to rules for segmentation, qualification and passing on leads. The job description should specify who decides these rules and who carries out each step: responsibilities vary with the team's size and structure.
The role handles operations within the marketing department. It works with sales teams and, where the function exists, revenue operations to agree how leads are passed on and followed up. This coordination does not make the role responsible for all sales operations. Its autonomy can also vary: some roles support an established team, while others lead improvements to processes and systems within a defined scope.
Marketing Ops and related roles: CRM and lifecycle, Growth Marketing
- Marketing Ops: organises the tools, data and processes needed to carry out and measure marketing activities.
- CRM and lifecycle: focuses on relationships with contacts and their journeys over time. Responsibility for segmentation and campaigns needs to be agreed for each role.
- Growth Marketing: works on growth activities and their results. Marketing Ops can make the implementation of those activities measurable without deciding growth priorities alone.
Marketing leadership retains responsibility for strategy and the decisions that fall within its remit. When hiring, describe the decisions Marketing Ops will make independently, those it will prepare for the marketing lead, and how it will work with other teams.
Why this hire matters
Hiring for Marketing Ops addresses an execution problem as well as a need for tools. A team may have an automation platform yet struggle to use it in campaigns. Multiple applications and people involved can also slow preparation, checks and follow-up. In these situations, the role needs to make the stages of work explicit and clarify who is responsible for each one.
Data quality is another concern. If marketing information is incomplete or does not flow properly into the CRM, the team risks segmenting on an uncertain basis and misreading its results. Marketing Ops can define checks and arrange for data flows to be corrected, working with those who administer each system. Its responsibility for marketing data should be distinguished from sales teams' responsibility for their own activities.
Hypothetical example: a campaign is ready, but two tools show different audience numbers. Marketing Ops investigates the discrepancy, documents the chosen segmentation rule and has the person responsible for the campaign approve its launch. This illustrates a process decision, not a promise of performance.
The handover of leads between marketing and sales needs the same clarity. Qualification, scoring, routing and expectations for follow-up should be understood by both sides. A scoring rule that works for one company will not necessarily work for another. The hiring team should establish whether the role designs these rules, coordinates their review or mainly ensures they are applied correctly.
Finally, measuring the contributions of channels and touchpoints means deciding what needs to be explained and what data is available. Attribution can inform decisions, but it does not replace judgement about data quality and the limits of the chosen model. Someone hired to administer campaigns does not necessarily have the autonomy to define this measurement alone. Agree the scope and the people involved before comparing candidates.
Salaries 2025-2026
| Level and experience | Annual gross base |
|---|---|
| Junior0–2 years | 40–50 k€ |
| Experienced2–5 years | 50–65 k€ |
| Senior5–8 years | 65–82 k€ |
| Lead8+ years | 82–100 k€ |
Paris market ranges, 2025-2026.
Outside the Paris region, expect 10 to 15 % less.
Key missions
- Map marketing tools and their connections to the CRM to identify data flows that need to be made more reliable.
- Organise incoming campaign requests and clarify approvals with marketing leads.
- Prepare the segments and automations needed for campaigns within the assigned scope.
- Check data, settings and the campaign journey before launch.
- Monitor campaigns and explain discrepancies observed in performance data.
- Depending on the assigned scope, work with the sales team to prepare rules for qualifying, routing and following up leads, then seek approval from the designated leads.
- Identify limitations in scoring rules and coordinate their review with the teams concerned; submit changes to the designated leads for approval.
- Depending on the autonomy assigned, propose or define indicators and an approach to measuring attribution with marketing leads, based on the available data. Explain the approach’s limits and identify who approves the choices made.
- Document processes and help marketing colleagues use the chosen tools.
Skills
Technical skills
- Marketing automation: build and check campaign journeys suited to the team’s needs.
- Tool integration: understand how data moves between marketing platforms, the CRM and analytics tools.
- Data quality: diagnose discrepancies that skew campaign audiences or tracking.
- Segmentation and scoring: turn agreed criteria into rules that can be used and reviewed.
- Campaign analysis: choose indicators and explain what can be concluded from the results.
- Attribution: connect touchpoints to a defined outcome while explaining the model’s limits.
- Campaign processes: set out the steps, checks and approvals through to follow-up after launch.
Expected qualities
- Coordination: clarify responsibilities between marketing, sales and tool administrators.
- Analytical thinking: trace an inconsistent result back to the data or rule that explains it.
- Ability to explain: show colleagues how to use a tool or rule without assuming they share the same technical expertise.
- Attention to detail: clearly show which checks were completed before a launch or a change to a data flow.
- Dialogue: discuss teams’ needs before changing how a lead is qualified or handed over.
Common stack
Background and training
Relevant routes into the role are not limited to a degree. Training in marketing, business or a related field can provide a grounding in campaigns and relationships with leads. Equivalent practical experience can also prepare someone for the role: a Smarsh job advert accepts these different routes. That example describes one employer's recruitment, rather than setting a degree requirement for every Marketing Ops role.
Experience carrying out marketing activities can help someone prepare and check campaigns. Tool administration or data analysis offers other useful skills: connecting systems, diagnosing discrepancies or documenting a process. The value of this experience depends on the responsibilities the person has actually held and the decisions entrusted to them.
Proficiency in a single platform is not enough to define the role. Tools vary between companies. The transferable skill is the ability to understand data flows, diagnose an error, formalise a process and explain its use to the team. A certification may demonstrate knowledge of a product, but on its own it does not prove this broader ability.
For the open role, describe the responsibilities already handled, the expected autonomy and the systems the person will need to operate.
Hiring this profile
When to hire
When the number of tools and people involved makes campaigns difficult to prepare or track, first examine where work is getting stuck. Underused automations or siloed data may point to a need for Marketing Ops. Describe the data flows to be improved, the campaigns concerned and who currently decides priorities.
If the marketing team already has processes in place, a person responsible for running and improving them may be enough. Specify the tools to administer, the checks expected and the level of autonomy over changes. If several teams rely on the same data or lead qualification rules, the role may require more coordination. Agree with sales and revenue operations who approves scoring, who receives leads and who monitors discrepancies. This division of responsibilities should reflect your organisation.
A one-off need, such as diagnosing an integration or reviewing attribution measures, may call for focused expertise. A permanent role becomes more relevant when campaigns, data quality and process changes require ongoing attention. If the main need concerns strategy and decisions across the whole of marketing, defining a leadership role may be more appropriate: the CMO job profile helps you examine its scope. The final choice depends on the decisions you need to delegate, how often problems arise and who is already responsible for campaigns.
Career path
A Marketing Ops professional may take responsibility for a wider range of processes and systems, coordinate with more people or lead a marketing operations team. This progression requires genuine autonomy over organisational decisions and improvements to tools. It does not follow automatically from a job title or number of years' experience.
Another route is to deepen expertise in data, automation or measurement, or to take on the role in an organisation with more complex campaigns. Depending on their responsibilities and skills, the person may also move towards a CRM and lifecycle or Growth Marketing role. These roles have different objectives: examine the candidate's achievements before treating them as natural next steps.
How to assess this profile
To assess a Marketing Ops candidate, relate each exercise to the actual scope of the role and tell the candidate what information they may use. The steps below are assessment guidance to adapt to your organisation.
1. Set the criteria before interviews
Describe the campaigns, tools and data flows the person will manage. Rank the criteria according to this work: data quality, campaign delivery, automation, coordination with sales and interpretation of results. For each criterion, specify who will make decisions about that work and what deliverable would let you assess the candidate’s contribution. If the role will only apply scoring rules, do not assess the candidate as if they will define the model alone.
Ask marketing and sales colleagues where their respective decisions lie. Clear scoping reveals disagreements about lead handovers before they become an unspoken expectation of the candidate. A warning sign would be a job description that combines technical administration, marketing leadership and sales operations without the corresponding authority.
2. Examine past work
Invite the candidate to describe a campaign or data flow they improved. Ask what problem they observed, what data they examined, what change they proposed and who approved it. Look for a precise account of their personal contribution. An account that does not distinguish their work from the team's leaves their level of autonomy unclear.
Examine how they mapped the flow, checked the data and explained the decision and its limits. Their reasoning matters more than the brand of tool used.
3. Offer a case close to the role
Fictional example: a form feeds the CRM, but some leads do not reach the right sales contact. Give the candidate a simplified description of the flow and some fictional data. Ask them to set out their hypotheses, the checks they would carry out, the handover rule that needs clarifying and the people they would involve.
Assess the approach before the final solution: does the candidate distinguish a data problem from a configuration or responsibility problem? Can they explain what they would check before changing the flow? A response that promises an immediate fix without checking the cause of the discrepancy calls for further questions.
4. Test communication and decision-making
Ask how the candidate would explain the limits of an attribution indicator to a marketing lead. See whether they identify the outcome to measure, missing data and the decisions the measure can genuinely inform. Then ask how they would explain a change in segmentation to those preparing campaigns.
A positive sign is an explanation that colleagues without specialist knowledge can understand. A warning sign is a presentation that treats a partial metric as certainty or assigns every decision to Marketing Ops without specifying approvals.
5. Check references and bring the assessment together
With the candidate's consent, ask a referee about the responsibilities they actually held: tool maintenance, data quality, coordination and documentation. Ask the same questions as in the interviews to compare the candidate’s account with specific situations the referee can describe, without requesting confidential data.
If your company lacks expertise in marketing tools, involve someone who can assess the technical case. Ask marketing and sales leads to assess how the candidate would work with other teams and handle decisions. Then bring the observations together against the criteria set at the outset, separating observed facts, open questions and preferences about ways of working.
Frequently asked questions
How should you choose between launching a new campaign and fixing an existing automation?
Ask the marketing lead which campaigns depend on the automation, what discrepancies have already been identified and when the new request is due. Marketing Ops can explain the necessary checks, the consequences of a delay and the options feasible with the available data. Then have the person responsible for marketing priorities decide the order of work, and record that decision and the check expected before each launch.
Should a repeated manual step always be automated?
Before making this a goal for the role, describe the step, its rules, its exceptions and who approves the result. If these points are sufficiently clear, ask Marketing Ops to propose automating the step, with checks to verify that it works. If they are not yet clear, keep an explicit procedure for the manual step and ask the person in the role to clarify the rules with the teams concerned before automating the step.
What work samples can you request without exposing a former employer’s data?
Invite the candidate to share a simplified diagram, a check template or an anonymised example, then explain their personal contribution. Ask them to remove their former employer’s confidential data and configuration details. These samples can shed light on their role without requiring access to previous systems.
How should you read the Marketing Ops salary grid?
The grid in this profile shows annual gross base salary ranges for a Paris-centred market in 2025–2026, at Junior, Experienced, Senior and Lead levels. It gives no figures for the overall package or variable pay. The years associated with each level are a guide to reading this grid and should be considered alongside the role’s scope and autonomy. See salaries.
Sources and method
- Salesforce : What Is Marketing Operations?
- Adobe : Learn how to hire for marketing operations
- GitLab : Marketing Operations Roles
- Smarsh : Marketing Operations Manager
- Salesforce Help : Attribution in Marketing Intelligence
Related job profiles
- Sales Ops / RevOpsSales Ops organises sales processes, data and tools. RevOps extends this coordination to marketing and customer follow-up teams.
- CRM / Lifecycle ManagerThe CRM / Lifecycle Manager organises communications with acquired contacts to support their activation, retention and, where relevant, reactivation.
- Growth Marketing ManagerThe Growth Marketing Manager improves customer acquisition, activation and retention through data analysis and experimentation.
- Product OpsProduct Ops structures the processes, data and tools that help product teams work and make decisions using reliable information.
About the author

Co-CEO
Romain Pichou a cofondé GetPro en 2015 avec Émile Pennes. Diplômé de l'ESCP Business School, il a débuté sa carrière dans des entreprises technologiques en forte croissance (Winamax, Betclic, Lucca où il dirigeait les ventes de la suite SaaS RH, puis ContentSquare).
Chez GetPro, il est l'associé référent des recrutements Tech, IA et Produit : CTO, VP Engineering, Head of Data, direction produit. Il intervient sur les mandats de direction technique, du cadrage du besoin à l'évaluation des candidats.