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Sr. Revenue Strategy & Operations Analyst, SDR Sales Strategy (Hybrid based in San Francisco)

Rippling

Sr. Revenue Strategy & Operations Analyst, SDR Sales Strategy (Hybrid based in San Francisco)

Rippling

San Francisco, CA

·

On-site

·

Full-time

·

5d ago

You will be based in our San Francisco, CA office and will be required to be in office 3x/week.

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role

We are looking for a collaborative, analytical, and detail-oriented Sr. Sales Strategy & Operations Analyst to support our global Sales Development organization. In this role, you'll contribute to core planning, performance, and operational processes that help scale our SDR team effectively and efficiently.

You will work closely with Sales Development leadership and cross-functional teams - including Marketing, Sales, Rev Ops, Finance, and Systems - to ensure our SDR organization is set up for success. This is a great opportunity for someone with strong analytical skills and a passion for operational problem-solving in a high-growth SaaS environment.

What you will do

  • Support Sales Development leadership in planning org structure, headcount, KPIs, and success metrics across regions, segments, and verticals
  • Contribute to capacity planning and resource allocation models for SDR teams
  • Build and maintain dashboards and reports to monitor SDR productivity and funnel performance
  • Assist with quarterly and annual planning processes
  • Contribute to strategic projects aimed at improving lead conversion, pipeline generation, and outbound program effectiveness.
  • Collaborate with broader Revenue Operations teams (e.g., Systems, Analytics, Territory Ops) on scalable process improvements and tooling enhancements
  • Contribute to change management and enablement efforts as SDR programs evolve and grow

What you will need

  • 2+ years of experience in Sales Strategy, Revenue Operations, or Go-to-Market Operations roles, ideally within a B2B SaaS company
  • Strong analytical and problem-solving skills with proficiency in Excel/Google Sheets and data visualization tools (e.g., Looker, Tableau)
  • Familiarity with Salesforce and common GTM tools (e.g., Outreach, Zoom Info, Lean Data)
  • Excellent attention to detail, organizational skills, and ability to manage multiple priorities
  • Strong communicator, comfortable presenting data and recommendations to cross-functional stakeholders
  • Eager to learn, adaptable in fast-paced environments, and motivated by operational excellence
  • Excellent communication skills and executive presence - capable of influencing and partnering with sales leadership.
  • Comfortable with ambiguity and fast-changing priorities in a high-growth environment.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

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About Rippling

Rippling

Rippling

Series C

Rippling is a privately owned international software company. Launched in 2017 in San Francisco, California, it operates a cloud-based software platform that allows businesses to manage their HR, finances, and IT matters.

501-1,000

Employees

San Francisco

Headquarters

$11.25B

Valuation

Reviews

4.0

2 reviews

Work Life Balance

3.0

Compensation

4.5

Culture

3.0

Career

3.5

Management

3.0

70%

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Pros

High base salary

Strong stock compensation

Competitive total compensation

Cons

Lower signing bonus compared to competitors

San Francisco safety concerns

High cost of living

Salary Ranges

2 data points

Intern

Intern · Data Scientist

0 reports

$190,000

total / year

Base

-

Stock

-

Bonus

-

$161,500

$218,500

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Virtual Onsite

5

Hiring Manager Interview

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design