Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do Growth at Docusign depends on trustworthy data every Al model we build, every experiment we run, and every fast decision we make is only as good as the instrumentation underneath it. This creates a clear opportunity to establish end-to-end ownership for our underlying data architecture and elevate coverage across key surfaces (website, in-product, marketing channels, pipeline, financial) that our Growth and product-led business rely on for insight. This role is both a hands-on product manager and a leader. You will own the end-to-end quality of our data lifecycle - from source instrumentation through the data foundations analysts query - and you will lead a small team, including both direct and indirect members, who help execute against that roadmap. You'll spend more of your time in the product management seat: defining requirements, prioritizing the highest-leverage work, and driving cross-functional alignment. The remainder is architectural: reviewing how data flows across our systems, spotting structural problems, and building the conviction and buy-in needed to fix them. You'll stay close to the data yourself - reviewing it, questioning it, documenting how it flows and why even as you rely on engineering partners for implementation. This position is an individual contributor role reporting to the Senior Director, Growth Data Science. Responsibility Own the roadmap for instrumentation and data-foundations work, prioritizing the highest-impact projects against a backlog Partner with data scientists, analysts, and business stakeholders across the growth organization to understand what data is used for and translate that into clear, sequenced requirements Lead and develop a small team a mix of direct reports and cross-functional/indirect team members setting priorities and unblocking day-to-day execution Review the end-to-end data flow architecture across the organization's growth-related data sources, identify structural problems, and drive alignment on solutions Own problem definition, prioritization, and the cross-functional buy-in needed to move architectural fixes forward the work itself is executed by engineering partners Set and enforce standards for how the organization instruments across all key data sources Extend this governance beyond our current primary focus area into other data domains the team depends on that lack active stewardship, partnering with other teams where needed to represent our requirements Partner with Al builders across the team to identify use cases and shape data foundations to be Al-ready Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be 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/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic 12+ years of experience in product management, data strategy, or analytics/data engineering, with direct ownership of data quality or instrumentation initiatives Experience working directly in the data writing SQL, exploring datasets, and validating data quality yourself rather than relying solely on others to do it for you Experience translating technical data work into business outcomes and objectives Experience translating ambiguous business needs into structured technical requirements and driving them to completion across teams you don't directly control Experience with the data lifecycle from event instrumentation through data pipelines to analytics-ready data and how issues at one layer surface as problems downstream Experience with modern product analytics and marketing data stacks (data warehouses, product analytics tools, customer data platforms, ad platforms) Preferred People leadership experience, including leading a mix of direct and indirect/cross-functional team members Experience defining event taxonomies, tracking specs, or instrumentation governance processes at scale Background in growth, product-led, or marketing analytics environments where experimentation and business velocity depend on clean data Excellent cross-functional communication skills; able to build alignment among stakeholders with competing priorities and no formal authority over them 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. Based on applicable legislation, the below details pay ranges in the following locations: California: $186,100.00 - $300,550.00 base salary This role is also eligible for the following: Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. 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). Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take 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 Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. 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. AI in Our Hiring Process At Docusign, we embrace technology to enhance efficiency and create a better candidate experience. We may record or transcribe interviews using enterprise AI tools to assist with meeting notes and interview documentation so our teams can stay fully engaged in the conversation. All hiring decisions remain 100% human-led. You have the right to opt out at any time by notifying your recruiter or interview team, with zero impact on your candidacy. We encourage using AI tools to research and prepare beforehand. However, to ensure an authentic evaluation, live AI assistance or external recording bots during interviews are not permitted. Applicant and Candidate Privacy Notice 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. 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. EEO Know Your Rights poster #LI-Hybrid Growth at Docusign depends on trustworthy data every Al model we build, every experiment we run, and every fast decision we make is only as good as the instrumentation underneath it. This creates a clear opportunity to establish end-to-end ownership for our underlying data architecture and elevate coverage across key surfaces (website, in-product, marketing channels, pipeline, financial) that our Growth and product-led business rely on for insight. This role is both a hands-on product manager and a leader. You will own the end-to-end quality of our data lifecycle - from source instrumentation through the data foundations analysts query - and you will lead a small team, including both direct and indirect members, who help execute against that roadmap. You'll spend more of your time in the product management seat: defining requirements, prioritizing the highest-leverage work, and driving cross-functional alignment. The remainder is architectural: reviewing how data flows across our systems, spotting structural problems, and building the conviction and buy-in needed to fix them. You'll stay close to the data yourself - reviewing it, questioning it, documenting how it flows and why even as you rely on engineering partners for implementation. This position is an individual contributor role reporting to the Senior Director, Growth Data Science. Responsibility Own the roadmap for instrumentation and data-foundations work, prioritizing the highest-impact projects against a backlog Partner with data scientists, analysts, and business stakeholders across the growth organization to understand what data is used for and translate that into clear, sequenced requirements Lead and develop a small team a mix of direct reports and cross-functional/indirect team members setting priorities and unblocking day-to-day execution Review the end-to-end data flow architecture across the organization's growth-related data sources, identify structural problems, and drive alignment on solutions Own problem definition, prioritization, and the cross-functional buy-in needed to move architectural fixes forward the work itself is executed by engineering partners Set and enforce standards for how the organization instruments across all key data sources Extend this governance beyond our current primary focus area into other data domains the team depends on that lack active stewardship, partnering with other teams where needed to represent our requirements Partner with Al builders across the team to identify use cases and shape data foundations to be Al-ready Basic 12+ years of experience in product management, data strategy, or analytics/data engineering, with direct ownership of data quality or instrumentation initiatives Experience working directly in the data writing SQL, exploring datasets, and validating data quality yourself rather than relying solely on others to do it for you Experience translating technical data work into business outcomes and objectives Experience translating ambiguous business needs into structured technical requirements and driving them to completion across teams you don't directly control Experience with the data lifecycle from event instrumentation through data pipelines to analytics-ready data and how issues at one layer surface as problems downstream Experience with modern product analytics and marketing data stacks (data warehouses, product analytics tools, customer data platforms, ad platforms) Preferred People leadership experience, including leading a mix of direct and indirect/cross-functional team members Experience defining event taxonomies, tracking specs, or instrumentation governance processes at scale Background in growth, product-led, or marketing analytics environments where experimentation and business velocity depend on clean data Excellent cross-functional communication skills; able to build alignment among stakeholders with competing priorities and no formal authority over them
