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Job Description:

This role connects platform expertise, data strategy, and client discovery to frame business challenges in ways that inspire compelling - and credible - solution architectures. The candidate must be capable of operating as a trusted strategic partner to senior and C-level client stakeholders while leading internal multi-disciplinary pursuit teams toward differentiated, winnable proposals.

The VP, Salesforce Solutions is not a delivery role. It is the role that determines whether Merkle wins the work in the first place - and whether the scope that is sold is technically sound, architecturally coherent, and commercially defensible.

This position is aligned with Merkle's Solutions & Alliance Practice and embedded within the Customer Data Solutions practice, which carries revenue and gross margin accountability across a portfolio of data, identity, AI, and MarTech engagements. CDS operates at scale - with a $100M+ revenue base, a proprietary identity platform (Merkury), and established partnerships with Salesforce, Snowflake, and Tealium.

The VP, Salesforce Solutions will own the pre-sales solutioning motion for Salesforce Data Cloud and Agentforce across the CDS portfolio - working in close partnership with account leaders, sellers, and delivery architects to shape and win complex, multi-workstream engagements. This role will interface directly with VP and C-suite executives across client organizations, requiring sophisticated solution positioning, platform depth, and the ability to bridge business objectives with technical architecture.

This is a named, visible practice leadership role with direct accountability to pipeline contribution and win rate for Salesforce-anchored opportunities within CDS.

The VP, Salesforce Solutions is responsible for ensuring that every Salesforce Data Cloud and Agentforce pursuit Merkle enters is shaped with precision, differentiated with depth, and positioned to win. This role is essential for:

Pre-Sales Solution Architecture

Owning the solutioning process for Salesforce Data Cloud and Agentforce pursuits - from initial discovery through final proposal - ensuring that every architecture recommendation is technically defensible, commercially structured, and directly responsive to the client's stated and unstated business objectives.

Platform Positioning & Differentiation

Developing and maintaining Merkle's strategic and technical point of view on Salesforce Data Cloud and Agentforce, including how these platforms integrate with Merkle's Merkury identity graph and Snowflake data infrastructure to create architectures that competing SIs cannot replicate.

Executive-Level Client Partnership

Serving as Merkle's senior technical authority in client-facing pursuit settings - translating complex architecture decisions into business-relevant narratives, building confidence with VP and C-suite stakeholders, and establishing the credibility that earns long-term advisory relationships.

Salesforce Alliance Engagement

Collaborating with Salesforce's partner and co-sell teams to position Merkle as the preferred SI for Data Cloud and Agentforce implementations - participating in joint GTM planning, maintaining best-practice currency, and representing Merkle in partner-facing forums and events.

Solutioning Asset Development

Building and maintaining a library of repeatable pre-sales assets - architecture frameworks, discovery playbooks, demo environments, RFP response modules, and proposal templates - that systematically elevate the practice's ability to pursue and win Salesforce Data Cloud and Agentforce opportunities at scale.

Identity & Data Architecture

Leveraging Merkle's Merkury identity platform and first-party data capabilities as native inputs to Salesforce Data Cloud architectures - ensuring identity resolution, consent management, and audience activation are woven into every solution design as differentiating infrastructure, not add-on services.

AI Readiness & Agentforce Strategy

Defining Merkle's approach to Agentforce solutioning - including how data readiness, identity resolution, and customer 360 infrastructure are prerequisites for production-grade AI agent deployment - and translating that framework into client-ready discovery conversations and proposal narratives.

Practice Elevation & Enablement

Contributing to CDS capability development by informing Salesforce-related hiring profiles, certification strategy, and delivery team enablement. Generating external thought leadership - conference presence, written content, LinkedIn - that builds Merkle's market credibility within the Salesforce ecosystem.

Required

• Bachelor's degree from an accredited college or university; advanced degree or relevant certifications (Salesforce Data Cloud Consultant, Salesforce AI Associate/Specialist, or equivalent) strongly preferred
• 10+ years of experience in customer data, MarTech, or data platform strategy and architecture roles, with substantial hands-on experience architecting or advising on enterprise CDP, identity resolution, or customer 360 solutions
• Deep, real-world Salesforce Data Cloud expertise - not just familiarity, but hands-on experience designing production-grade Data Cloud architectures including data ingestion, identity resolution, unified profiles, and audience activation across enterprise environments
• Demonstrated Agentforce or AI solutioning experience - including the ability to frame data readiness requirements, articulate appropriate agent use cases (service triage, next-best-action, suppression, agentic resolution), and position AI capability as an outcome of sound data infrastructure
• Proven pre-sales or solutioning track record: experience presenting to C-suite audiences, shaping large-scope proposals, and directly influencing enterprise purchase decisions in a competitive evaluation context
• Deep fluency in first-party data strategy - identity resolution, consent and privacy management, data clean rooms, and omnichannel activation - with the ability to translate these concepts into client-ready business narratives
• Excellent executive presence and communication skills; must be able to simplify complex architecture without losing technical credibility

Strongly Preferred

• Prior experience at a consulting, systems integration, agency, or MarTech vendor environment - with demonstrated ability to manage multiple client and pursuit contexts simultaneously
• Broad multi-platform fluency: working knowledge of Snowflake, Tealium, Adobe Experience Platform, or comparable data infrastructure - sufficient to design cross-platform architectures and position Merkle's ecosystem partnerships as integrated advantages
• Familiarity with Merkle's competitive landscape: Publicis Sapient / Epsilon, Accenture Song, IBM iX, and boutique Salesforce SI partners - with a point of view on where Merkle wins and why
• Experience working with or positioning a proprietary identity resolution platform (Merkury, Acxiom, LiveRamp, or equivalent) as infrastructure within a Salesforce or CDP architecture
• Demonstrated external thought leadership - speaking, writing, or recognized expertise within the Salesforce, CDP, or marketing data ecosystem
• Familiarity with AI agent deployment patterns, LLM integration in CX workflows, and the data prerequisites for agentic personalization at enterprise scale

There will be up to 25% travel

At dentsu, we believe great work happens when we're connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

The annual salary range for this position is $163,000 - $263,062. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

#LI-hybrid #LI-JH2

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