- Deliver Technical Proof Points: Create and deliver technical proof points through technical accelerators, such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs, to demonstrate the value of IBM products to clients.
- Drive Customer Value: Activate entitlements by finding sponsors, conducting use-case workshops, and establishing measurable business outcomes with client sponsors and stakeholders.
- Develop Success Plans: Create a success plan that describes deployment roadmap(s), milestones, and outcomes with client sponsors and stakeholders to ensure successful adoption and expansion of IBM products.
- Understand Client Challenges: Deeply understand clients' main challenges and become a trusted guide for their modernization and adoption of IBM's technology portfolio.
- Technical Solution Design: Exposure to designing viable client solutions by leveraging current product capabilities, removing technical inhibitors to sales opportunities, and creating technical proof points.
- Product Demonstration: Experience working with technical accelerators, such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs, to demonstrate the value of products to clients.
- Client Engagement: Exposure to working with clients to drive adoption and expansion of products, including activating entitlements, conducting use-case workshops, and establishing measurable business outcomes.
- Technical Portfolio Knowledge: Experience working with a technology portfolio, including understanding client challenges and identifying opportunities for modernization and adoption.
- Solution Development: Exposure to creating success plans, including deployment roadmaps, milestones, and outcomes, to ensure successful adoption and expansion of products.
- Product Acceleration Knowledge: Exposure to designing and delivering technical accelerators, such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs, to demonstrate the value of products to clients.
- Technical Solution Optimization: Experience working with clients to optimize technical solutions, including activating entitlements, conducting use-case workshops, and establishing measurable business outcomes.
- Technology Portfolio Familiarity: Exposure to working with a technology portfolio, including understanding client challenges and identifying opportunities for modernization and adoption.
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Customer Success Engineering for Data - Taguig, Philippines - IBM
Paglalarawan
IntroductionAt IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
Your Role And Responsibilities
As a Customer Success Engineer, you will design viable client solutions by leveraging current product capabilities and remove technical inhibitors to sales opportunities. You will work with clients to drive adoption and expansion of IBM products to accelerate client value.
Your Primary Responsibilities Will Include
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Data Engineer Data Governance
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IT, Data
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Data Engineer Data Governance
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Data Researcher, People Data
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Data Researcher, People Data
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Data Quality Analyst/Data Engineer/Data Analyst
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FinOps - Data Analyst, Data Analytics
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Data Analyst, Benefits Data Source
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Data Backbone
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Data Analyst, Benefits Data Source
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Data Engineer
Buong oras Procter & Gamble- Taguig
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Data Analyst
ABSI- Taguig
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Data Engineer
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Data Analyst
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Data Architect
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Data Architect
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Data Engineer
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Data Analyst
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Data Engineers
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Data Engineer
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Data Scientist
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