
Partnerships & Alliances Manager (SaaS / Data Domain) (8-13 yrs)
Location: India (Offshore)
Shift: US Overlap (4:00 PM - 1:00 AM IST)
About the Role:
We are seeking a highly driven Partnerships & Alliances professional to expand and strengthen our ecosystem within the SaaS and Enterprise Data space. The ideal candidate will have strong expertise in data technologies, partner management, and US-market engagement, with a proven ability to influence senior stakeholders.
Key Responsibilities:
- Develop and manage strategic partnerships with technology partners, system integrators, and data platform providers.
- Identify new alliance opportunities to drive revenue growth, co-selling, and GTM initiatives.
- Collaborate with internal teams (Sales, Product, Marketing) to execute joint campaigns and partner enablement programs.
- Build and nurture relationships with C-level and senior stakeholders, particularly in the US market.
- Own partner lifecycle management including onboarding, enablement, performance tracking, and expansion.
- Drive pipeline generation and contribution through partner channels.
- Stay updated on industry trends in data warehousing, analytics, and AI ecosystems.
Required Qualifications:
- Experience: 5-10 years in Partnerships, Alliances, or Business Development within SaaS / Enterprise Software.
- Strong exposure to US-based clients/partners while working from an offshore location.
- Proven ability to influence and engage CXO/C-level stakeholders.
Domain Expertise:
Solid understanding of the following:
1. Data Warehousing: Snowflake, Amazon Redshift
2. ETL Processes & Data Pipelines
3. Data Quality & Testing frameworks
4. Business Intelligence & Data Analytics tools
- Familiarity with modern data ecosystem, cloud platforms, and AI-driven analytics solutions is a plus.
Skills & Competencies:
- Excellent English communication and presentation skills.
- Strong relationship management and negotiation skills.
- Strategic thinking with execution focus.
- Ability to work in a fast-paced, cross-functional environment.
- High ownership and results-driven mindset.
Working Hours:
- Flexible to work in US overlapping hours (typically 4:00 PM - 1:00 AM IST).
Preferred Qualifications (Good to Have):
- Experience working with global SaaS/data companies.
- Exposure to partner ecosystems like AWS, Snowflake, or similar platforms.
- Understanding of AI/ML or modern data stack trends.
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