Alliance Manager, Microsoft
Snowflake$150,000 - $210,000/year
- Full Time
- Junior (1 to 2 years)
$120,000 – $160,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Cloud Computing, SoftwareIndustries
Requirements
Candidates should possess 5-7 years of experience in cloud partnerships, business development, or sales within SaaS and/or cloud provider ecosystems, demonstrating a deep understanding of cloud GTM models, co-sell programs, and marketplace dynamics across AWS, Azure, and GCP. Strong sales acumen and the ability to articulate complex concepts are also required.
Responsibilities
The Senior Cloud Alliance Manager will develop and execute joint go-to-market (GTM) strategies with AWS, Azure, and GCP, driving awareness, demand generation, and revenue growth; manage Sigma’s Marketplace strategy, driving internal advocacy and external engagement to grow adoption and revenue; establish and operationalize co-sell programs with cloud partners, ensuring seamless account mapping, field enablement, and deal acceleration with cloud provider sales teams; educate and embed a partner-first mindset across Sigma’s sales, marketing, and product teams; drive alignment across Sales, Product, Marketing, and Customer Success to integrate cloud partnerships into Sigma’s overall GTM strategy; develop and maintain strong relationships with key executives within cloud providers, positioning Sigma as a strategic partner; and measure and optimize success by defining KPIs and iterating based on results.
Skills
Cloud Partnerships
Business Development
Sales
SaaS
Cloud GTM
AWS
Azure
GCP
Marketplace Strategy
Co-sell Programs
Sales Acumen
Relationship Management
Strategic Partnerships
Sigma Computing
Cloud-based data analytics platform for businesses
About Sigma Computing
Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$550.9MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees