Tata Consultancy Services
Partner Sales Engineer (PSE)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
Role Purpose
Experienced customer-facing technical seller with strong enterprise cloud and AI fluency, capable of driving the technical win across complex deal cycles. Brings the ability to translate Gemini and Workspace capabilities into clear business outcomes, handle executive-level conversations including security and data privacy, and deliver high-impact demonstrations aligned to real customer scenarios. Skilled in bridging technical depth with commercial value, influencing CXO stakeholders, and accelerating deal progression while coaching partner engineers in live environments.
Hiring Context
These pilot hires support the hub-and-spoke model by creating regional partner-facing coverage across APAC, EMEA, USA, and LATAM, subject to final LATAM location confirmation and candidate availability.
Key Responsibilities
- Drive the technical win across complex deal cycles by aligning Gemini and Workspace capabilities to customer priorities and business outcomes.
- Lead high-impact demonstrations tailored to real customer scenarios, including enterprise cloud, AI, security, and data privacy considerations.
- Engage executive and CXO stakeholders with clear, business-oriented articulation of technical value and solution fit.
- Bridge technical depth with commercial value to accelerate deal progression and support solution positioning.
- Coach partner engineers in live environments and support technical readiness throughout the sales cycle.
Must-Have Skills and Experience
- Strong customer-facing technical sales experience in enterprise cloud, AI, solution engineering, or related pre-sales environments.
- Ability to translate Gemini and Workspace capabilities into clear business outcomes for customers, partners, and executive stakeholders.
- Experience handling executive-level conversations, including security, data privacy, and enterprise adoption concerns.
- Strong communication, presentation, stakeholder-management, and commercial value articulation skills.
- Total experience: 7 to 12 years, including 3 to 5 years of AI experience.
- Bachelors degree in Engineering.
Preferred Skills
- Google Associate Cloud Engineer certification preferred.
- Google Generative AI Leader certification preferred.
- Strong fluency in enterprise cloud, AI solution positioning, and customer demonstration environments is preferred.
- Experience coaching partner engineers and supporting live deal progression is preferred.
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