As the first GTM Analytics hire, you will analyze data to drive growth, develop success metrics, and collaborate across teams to improve business performance.
About WorkOS 🚀
WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We’re a fully distributed team with employees across North American time zones. We’re well-funded, having raised an $80M Series B. Our fast-growing customer base includes hundreds of rapidly growing SaaS companies like OpenAI, Vercel, Plaid, Perplexity, and Cursor.
About the role 💭
WorkOS is growing rapidly and looking for our first GTM Analytics hire. In this role, you will have the opportunity to use your analytical and strategic skills to collect and analyze data, identify areas for improvement, develop success metrics, and collaborate with cross-functional teams to drive growth in our business. You will also be responsible for developing and maintaining reports and dashboards to communicate insights to stakeholders.
You’ll work in different areas from revenue forecasting/modeling, incentive structure, user engagement, retention, self-serve conversion, and customer expansion, deeply understanding the data to help inform our strategy and make recommendations to drive growth of the business. Stakeholders you will work closely with are our Execs, Product, Engineering, Sales, and Marketing.
Responsibilities ✔️
- Develop and manage analytics frameworks to measure the performance of GTM initiatives, including lead generation, revenue forecasting, sales funnel efficiency, and customer acquisition costs.
- Define, implement and maintain the key success metrics for our product
- Deliver actionable insights to improve marketing campaigns, sales performance, and product launches.
- Develop reports and dashboards to visualize data, analyze and communicate insights to stakeholders
- Collaborate with stakeholders to identify opportunities for improvement and growth
- Build predictive models to forecast customer behavior, product performance, and financial metrics (e.g. CAC, net retention, ACV, etc.)
- Identify trends and patterns in customer data to inform product roadmap and strategy
Qualifications 🌟
- 5+ years of experience in revenue analytics, GTM analytics or data analytics in the B2B SaaS industry
- Strong proficiency in SQL, Excel, and at least one programming language such as Python or R is a bonus
- Experience with data tools such as Mode, Snowflake, Jupyter, dbt
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Experience with A/B testing
- Testing and experimentation with usage-based pricing models
The annual US base salary falls within the range of $150,000 to $185,000. This range does not encompass the full spectrum of benefits such as equity, health insurance, vacation time, and paid parental leave. The final compensation will be determined considering various factors, including experience, skills, and qualifications.
Benefits (US only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
Benefits include:
- Competitive pay
- Substantial equity grants
- Healthcare insurance (Medical, Dental and Vision) for you and your family
- 401k matching
- Wellness and fitness monthly allowances
- PTO + paid holidays + unlimited sick leave
- Autonomy and flexibility with remote work
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
Top Skills
Dbt
Excel
Jupyter
Mode
Python
R
Snowflake
SQL
WorkOS San Francisco, California, USA Office
San Francisco, San Francisco, CA, United States
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