Level

Salesforce

Director, Solution Consulting - Marketing Cloud & Data 360

Salesforce is hiring a Director, Solution Consulting - Marketing Cloud & Data 360 in London, United Kingdom. Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Level rates this marketing role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Databricks, AI agents and AI evaluation among its tools and skills.
  • Level classes it as an executive role.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted in the last few days.

AI in this role

databricks
ai-agentsai-evaluation

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Customer Success

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking a Director, Solution Consulting specialising in Marketing Cloud and Data 360. You will be a recognised expert and thought leader in customer engagement and data architecture. 


You will act as a strategic advisor to our largest, most complex enterprise customers. You will guide them through transformation programmes that unify, govern and activate customer data across channels. These programmes support Agentforce and AI-driven personalisation.


You will work with customers and partners as a senior solution architect, programme architect or CTO-level advisor.



Key Responsibilities

Thought leadership

  • Provide solution/technical direction and performance leadership.
  • Identify and lead internal strategic initiatives that grow the consulting practice. 
  • Drive the evolution of an AI-first delivery and engineering methodology within the practice.

Client advisory and delivery

  • Serve as a trusted advisor to client leadership. Guide customers and colleagues in rationalising and deploying emerging technologies and enterprise AI architecture that increase business value.
  • Act as the primary authority on Marketing Cloud and Data 360, including how data and engagement architecture drive the success of Agentforce and AI-driven personalisation.
  • Lead functional and technical workshops. Own the design, delivery, testing and deployment of complex marketing and data solutions.
  • Establish trust with customer executives. Promote and implement Salesforce best practices.
  • Manage customer expectations. Negotiate solutions to complex problems with customers and third-party stakeholders.
  • Proactively identify and manage risk on high-profile engagements. Commit to seeing issues through to resolution.
  • Review and correct programme direction, approach and key artefacts (blueprints, FSDs, data models, journey and flow designs) to keep programmes on track and scalable.



Marketing Cloud / Data 360 Architecture

  • Design enterprise engagement architecture across Journey Builder, Email Studio, Automation Studio and Content Builder. Include channel strategy and journey orchestration.
  • Define data governance, consent management and preference architecture. Ensure compliance with GDPR, CAN-SPAM, CASL and other privacy regulations.
  • Set integration, environment and coding standards (SQL, SSJS, AMPscript). Lead code and design reviews.
  • Architect the Data 360 implementation: data stream ingestion, unified profile and identity resolution, segmentation, and activation to Marketing Cloud.
  • Define end-to-end data lineage: profiling, cleansing, transformation mapping and reconciliation.

Core Skills

  • Advanced Marketing Cloud expertise: Email Studio, Journey Builder, Automation Studio, Content Builder, Mobile and Advertising Studio, Contact Builder / Audience Builder.
  • Hands-on Data 360 expertise: ingestion, unified profile, insights, identity resolution, segmentation and activation, and how these integrate with Marketing Cloud.
  • Martech ecosystem depth: customer journey orchestration, digital campaign management and optimisation.
  • Subscriber data architecture: data extensions, sendable and non-sendable objects, suppression logic and list management at scale.
  • Consent and compliance architecture: preference centre design and compliance-aligned data handling.
  • Integration architecture: Marketing Cloud Connect, REST/SOAP APIs, API-triggered and event-driven messaging, and ETL / data lake patterns.
  • Data modelling, MDM, SQL, and DevOps / deployment lifecycle.
  • Email deliverability: sender reputation, IP warm-up, and SPF/DKIM/DMARC.
  • AMPscript and SSJS proficiency.
  • Flow experience




Minimum Requirements

  • Extensive experience leading Salesforce technical consulting projects, with significant people management experience. 
  • Strong application design skills combined with strong data, integration and security architecture skills.
  • Proven delivery of large-scale Marketing Cloud and Data 360 programmes. Experience with high-volume data (10M+ records) is desirable.
  • Ability to document solutions clearly: data flows, flowcharts and technical artefacts.
  • Ability to translate business requirements into technical solutions and map business processes to the Salesforce product suite.
  • Strong interpersonal, written and verbal communication skills. Able to influence C-level stakeholders. Proficient in English.
  • Willingness to travel to client sites as required.

Preferred Skills

  • 8+ years of Marketing Cloud experience and 2+ years of Data 360 experience, including advanced unified profile and activation design.
  • Certifications: Marketing Cloud Consultant, Marketing Cloud Developer, Data 360 Consultant, Marketing Cloud Email Specialist, Marketing Cloud Administrator.
  • Migration experience from Eloqua, Marketo or HubSpot
  • Familiarity with Snowflake, Databricks, AWS and GCP as upstream data sources.
  • Experience with WhatsApp, SMS and push channels, and with Marketing Cloud Personalisation.
  • Familiarity with Agentforce, generative AI and agentic delivery patterns. Experience with AI evaluation frameworks and business metrics.
  • Marketing Cloud Next / Marketing Cloud Advanced familiarity.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

How we rate this

Director, Solution Consulting - Marketing Cloud & Data 360 at Salesforce rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI EvaluationDatabricks

Pay

Typical marketing job
$146k

This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you decide that one model's output is better than another's for a given task?
  3. What are the limits of Databricks that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Evaluation, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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