Jobs
Required Skills
Financial modeling
Financial planning
Forecasting
Business analysis
Communication
Analytical thinking
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
As a Sales Finance Senior Manager, you will own the topline financial planning for Snowflake and influence key decisions on sales strategy. You will provide several key inputs for corporate finance and sales strategy teams based on your analysis of financial data, forecasting of topline metrics and understanding of business drivers. You will surface insights to finance and sales leadership for strategic decision making. In this highly visible role, you will work closely with corporate FP&A, data science, sales strategy, field operations and sales leadership. This is an opportunity to drive the direction of a fast growing business and build a team as you scale.
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.
RESPONSIBILITIES:
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Establish and validate global and theater level topline sales targets
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Influence the annual financial planning process with a view on capacity, affordability and theater level dynamics
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Own quarterly forecasts on topline metrics through evaluation of pipeline and top deals
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Provide key inputs to data science forecasts of topline sales targets
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Assist with month-end and quarter-end close processes
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Influence key decision makers in Finance, Sales and Operations based on data driven analysis and strong understanding of business drivers
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Provide inputs to long term corporate model based on short-term sales trends
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Coordinate cross functionally with corporate FP&A, data science, sales strategy, field operations and sales leaders
REQUIREMENTS:
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Bachelors degree in Finance, Accounting, Business Administration or related discipline; MBA or advanced degree preferred
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Minimum of 8 years of experience in corporate finance and/or investment banking
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Proven track record of financial modeling, planning and forecasting, particularly in sales
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Strong business acumen and analytical thinking with the ability to translate financial data into actionable insights for senior management
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Work effectively across cross functional teams on a day to day basis
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Effective communication and presentation skills to be able to influence multiple stakeholders
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
277 reports
$252,858
total / year
Base
$171,306
Stock
$57,741
Bonus
$23,811
$190,229
$354,557
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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