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GTM Analytics Manager
- San Francisco, California, United States
- San Francisco, California, United States
À propos
What You’ll Do As an GTM Analytics Manager on the PLG Strategy & Operations team, your charter is to help drive focuses on unlocking durable, efficient growth across our self‑serve motions for Direct customers. To do this, you will leverage existing data frameworks to identify opportunities. You’ll then drive cross‑functional alignment around those opportunities and report back on whether the initiative worked. This role will have a supreme command on in‑quarter performance and be heavily involved in our annual planning process. They will also help drive target creation and ROI measurement for self‑serve initiatives.
This position is an individual contributor role reporting to the Senior Manager, PLG Strategy & Operations.
Responsibilities
Own the data, forecasting, target setting, and insight backbone for the Direct self‑serve experiences (from Auto Renewal to self‑serve expansion).
Leverage SQL, Salesforce data, experimentation results, and product analytics to identify and size growth opportunities.
Use and help evolve AI tooling (including analytics copilots and LLM‑based assistants) to scale insight generation and operational workflows.
Partner closely with PLG, Direct Sales, Marketing, and Finance to drive alignment on where to invest and how to measure impact.
Connect teamwork and deliverables to broader business outcomes, identifying opportunities to increase value or reduce risk, especially by leveraging new efficiencies enabled by technology like AI where possible.
Job Designation Hybrid: Employee divides their time between in‑office and remote work. Access to an office location is required (minimum 2 days per week; may vary by team but there is a weekly in‑office expectation). Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position’s designation depending on business needs and local law.
Basic Requirements
BA/BS degree in a quantitative field (e.g., Statistics, Economics, Engineering, Computer Science, Finance) or equivalent work experience.
8 years of experience in analytics or strategy roles in SaaS, e‑commerce, or technology.
Experience with SQL and querying large, complex datasets and building reusable data models.
Experience with Salesforce data and the sales funnel, including how leads, contacts, accounts, and opportunities are structured and reported.
Experience building forecasts and scenario models for conversion, and revenue (ideally for self‑serve or PLG motions).
Experience with spreadsheets (Google Sheets / Excel) for modeling and ad‑hoc analysis.
Experience working with subscription business models and recurring revenue metrics.
Preferred Qualifications
Excellent presentation and communication skills; ability to translate complex analysis into clear narratives and recommendations for senior stakeholders.
Comfort working in fast‑paced, ambiguous environments and collaborating with globally distributed teams.
High degree of comfort using SQL techniques.
Familiarity with Tableau or other related BI tools.
Proven track‑record in fast paced environments.
Familiarity with lead funnel and routing techniques.
Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job‑related knowledge, skills, and experience. For California, the base salary range is $140,000.00 - $225,075.00.
Bonus: Non‑sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Benefits
Paid Time Off: earned time off, as well as paid company holidays based on region.
Paid Parental Leave: up to six months off with your child after birth, adoption or foster care placement.
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment.
Retirement Plans: select retirement and pension programs with potential for employer contributions.
Learning and Development: options for coaching, online courses and education reimbursements.
Compassionate Care Leave: paid time off following the loss of a loved one and other life‑changing events.
Work Authorization Notice Applicants must already be authorized to work in the United States on a full‑time, permanent basis without the need for current or future sponsorship.
Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process, please get in touch with our Talent organization at taops@docusign.com for assistance.
Equal Opportunity Employer It’s important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can‑do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming.
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Compétences linguistiques
- English
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