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Mathco Health Corporation

Presales Lead - GCP

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  • Posted 4 days ago
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Job Description

As a Presales Lead within our Growth team, you will be at the forefront of understanding the complex, evolving analytical needs of our prospects and customers. You will collaborate closely with sales, delivery, and other technical teams to shape scalable model architectures, analytical frameworks, Program Governance strategies, and roadmaps that directly address our clients.

Roles & Responsibilities

 

Solution Design
o Drive pre-sales solutioning across RFPs, proposals, estimations, and
strategic deals.
o Lead discovery discussions and architect scalable GCP-based data
platforms.
o Own technical win strategy in partnership-led opportunities.
o Design and lead POCs, demos, and architecture walkthroughs for
enterprise clients.
o Research on various methodologies (e.g., statistical modeling, machine
learning, deep learning frameworks, data visualization tools) for
optimal alignment with project requirements.
• Collaboration with Cross-functional Teams
o Partner with GCP alliance teams for joint GTM and co-selling
opportunities.
o Enable AEs with solution narratives, value articulation, and
competitive positioning.
o Support revenue attribution through strong solution alignment.
Internal Use Only
o Collaborate with Sales team, CSLs and Partner Development
Managers.
o Stay current with GCP roadmap and identify growth opportunities.


Skill Requirements
• Technical Expertise:
- Knowledge in GCP architecture and optimization.
- Experience creating architecture diagrams and technical
documentation.
• Pre-Sales Expertise:
- Experience in client-facing pre-sales / solution consulting roles.
- Experience responding to RFPs/RFIs and proposal building.
- Strong understanding of deal cycles.
• Business Expertise:
- Executive-level communication and storytelling.


Preferred Qualifications
• 5–9 years of experience in cloud/data solutioning.
• Experience in presales within AI/ML enablement use cases.
• Exposure to alliance-led revenue models

More Info

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Job ID: 147509769