MUMBAI · FULLTIME
Specialist Solution Engineer (Martech)
griddable.io
Mumbai · onsite · Posted 68d ago
Sourced from
Not disclosed10–12 yrsfulltimeMumbai
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Section · 01
About this role
Description
As a seasoned Solution Engineer – Data & Agentic Marketing AI at Salesforce, you will serve as a
strategic advisor and deep product expert, partnering with enterprise sales teams to address complex
customer challenges across marketing transformation, data unification, and agentic AI-driven customer
intelligence. You bring a strong background in Martech and AdTech ecosystems — understanding how
brands plan, activate, measure, and optimise marketing across paid and owned channels. You are a
hands-on technologist and a compelling communicator — equally comfortable architecting a Data Cloud
solution, building a live PoC, and presenting to a C-suite audience. With your extensive experience
across Marketing Cloud, Data Cloud, Lakehouse architecture, and Data Management, you will lead high-
impact engagements across Financial Services, Real Estate, Retail & Consumer Goods, EdTech, FinTech,
Telecom, Media, and Technology/GIC sectors.
Responsibilities
ingestion, unification, segmentation, real-time activation, and AI-driven personalisation
and data governance
Copy integrations
Required Qualifications
complex technical concepts into clear business value narratives
ease
deprecation, identity resolution, clean rooms, contextual targeting, and first-party data
activation
Why Salesforce
As a seasoned Solution Engineer – Data & Agentic Marketing AI at Salesforce, you will serve as a
strategic advisor and deep product expert, partnering with enterprise sales teams to address complex
customer challenges across marketing transformation, data unification, and agentic AI-driven customer
intelligence. You bring a strong background in Martech and AdTech ecosystems — understanding how
brands plan, activate, measure, and optimise marketing across paid and owned channels. You are a
hands-on technologist and a compelling communicator — equally comfortable architecting a Data Cloud
solution, building a live PoC, and presenting to a C-suite audience. With your extensive experience
across Marketing Cloud, Data Cloud, Lakehouse architecture, and Data Management, you will lead high-
impact engagements across Financial Services, Real Estate, Retail & Consumer Goods, EdTech, FinTech,
Telecom, Media, and Technology/GIC sectors.
Responsibilities
- Lead strategic pre-sales engagements for enterprise and strategic accounts, partnering with
- Architect, build, and deliver hands-on Proof of Concepts (PoCs) — taking full ownership from
ingestion, unification, segmentation, real-time activation, and AI-driven personalisation
- Deliver world-class, customised product demonstrations — live, unrehearsed, and deeply
- Lead executive-level discovery and whiteboarding sessions to uncover business requirements
and data governance
- Design and present comprehensive solution architectures connecting operational data,
Copy integrations
- Champion Data Management and Governance best practices — including data quality, master
- Lead complex RFP/RFI responses, solution proposals, and business value assessments for large
- Represent Salesforce as a thought leader — at industry events, executive briefings, customer
- Mentor and coach junior SEs, contributing to the broader SE community through enablement,
- Stay ahead of the curve on Salesforce Data Cloud, Lakehouse, Agentforce, Marketing Cloud
Required Qualifications
- 10–12 years of experience in pre-sales, solution consulting, or marketing/data technology roles,
- Exceptional communication and presentation skills — ability to engage, influence, and inspire
complex technical concepts into clear business value narratives
- Strong executive presence — confident, credible, and compelling in front of senior stakeholders,
ease
- Highly hands-on profile — must be able to independently build, configure, and demonstrate
- Proven ability to design and execute end-to-end PoCs — including data modelling, integration
- Strong background in Martech and AdTech technologies, including Marketing automation,
deprecation, identity resolution, clean rooms, contextual targeting, and first-party data
activation
- Deep expertise with Salesforce Marketing Cloud (Engagement, Intelligence, Personalisation,
- Strong understanding of Customer Data Platforms (CDP) — identity resolution, profile stitching,
- Proven expertise in Data Lakehouse architecture — Delta Lake, zero-copy data sharing,
- Strong knowledge of Data Management concepts including data management, ETL, ELT, MDM ,
- Experience designing enterprise-grade data architectures integrating CRM, CDP, data
- Strong experience with data ingestion patterns — batch, streaming, API-based, and event-driven
- Relevant Salesforce certifications: Marketing Cloud Consultant, Data Cloud Consultant, or
- Demonstrated vertical expertise in one or more of: Financial Services | Real Estate | Retail &
- Deep domain expertise in at least three of the following: Data Cloud/CDP, Marketing
- Strong understanding of data architectures including data lakes, lakehouses, warehouses, and
- Hands-on experience with Salesforce Marketing Cloud, Data Cloud, or equivalent enterprise
- Ability to present complex technical solutions to both C-level executives and technical
- Excellent communication, storytelling, and whiteboarding skills
- Bachelor's degree in Computer Science, Engineering, Marketing Technology, or equivalent
Why Salesforce
- Lead the most strategic, complex data + agentic marketing AI transformation deals across India's
- Work at the forefront of Salesforce's Data Cloud, Agentforce, and Lakehouse innovation — at
- Be part of a world-class SE community with access to cutting-edge technology and continuous
- Competitive compensation, equity, benefits, and a clear path to Principal/Distinguished SE
Sourced from foundit
Section · 02
Skills
data qualityMDMdata cloudstreamingMarketing CloudeltIdentity ResolutionMarketing AutomationLakehouse Architectureclean roomsaudience segmentationCampaign ManagementData ingestion patternsData ManagementData GovernanceETLcustomer journey orchestrationad-tech conceptsReal-time activationContextual targetingProfile stitching