• System Ownership: Design and operate the "content-to-pipeline" system that turns product updates, customer stories, and executive insights into a consistent, high-performing engine across LinkedIn, X, and Reddit. • Strategic Distribution: Move beyond simple posting to master content distribution—ensuring our most important technical narratives are seen by the right stakeholders at the right time. • Paid Experimentation: Manage and optimize LinkedIn paid campaigns with a ruthless focus on experimentation, precision targeting, and measurable pipeline impact. • Executive & Employee Advocacy: Act as the strategic partner to our leadership team, translating their technical expertise into high-impact thought leadership and building a scalable advocacy program for the broader team. • Multimedia Direction: Direct our video content strategy, working with external partners to transform live sessions and product demos into reusable, high-engagement assets. • Data-Driven Attribution: Build a structured reporting framework that provides clear visibility into how social activity and paid spend drive traffic, engagement, and revenue.

• Own the strategy and execution for Meta and Google Ads, focusing on customer acquisition • Manage the entire journey from the first "scroll-stop" to final conversion, including creative testing • Utilize advanced attribution modeling and tools to gain visibility into the true impact of spend • Apply deep industry knowledge of the wellness and CPG landscape to position products effectively

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Growth Data Science The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities - Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. - Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. - Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe - Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. - Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team - Contribute to broad data science initiatives as a member of Stripe’s data science management team. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). - You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience. - You have demonstrated expertise in designing metrics and guiding business decisions with data. - You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. - You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. - You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. - You have clear and persuasive communication skills in writing and verbally. - You thrive on a high level of autonomy and responsibility. - You foster a healthy, inclusive, challenging, and supportive work environment. Preferred requirements - You are comfortable working with geographically distributed teams - Expertise in time series forecasting, predictive modeling, or optimization - Expertise in data design and building scalable data architectures

• Own the integrated campaign calendar for new logo acquisition in the North America Higher Ed segment, with pipeline targets defined for every program • Translate GTM positioning and competitive differentiation from the GTM Marketing team into compelling, audience-specific campaign narratives and assets • Execute multi-channel campaigns spanning paid media, email, content syndication, webinars, and field event integration • Design and run ABM programs for target accounts across the Higher Ed universe — account-based thinking is core to this role, not optional • Support Blackboard’s visibility in AI-generated research environments (GEO), coordinating with the VP GTM on which prompts and themes buyers are searching • Partner with Marketing channel teams to ensure programs compound ROI rather than run in isolation • Build AI-native workflows for always-running campaign analysis, audience personalization, and performance optimization — and share what you’re building with the broader team • Own Blackboard’s presence at third-party conferences in North America, including EDUCAUSE and other Higher Ed sector events • Manage regional field activation programs — road shows, executive dinners, partner-hosted events — tied to pipeline goals in specific accounts or geographies • Serve as a key campaign contributor to BbT26, Blackboard’s flagship customer event, ensuring field and campaign strategies are coordinated • Build and own post-event attribution models: every event investment is measured against pipeline sourced, pipeline influenced, and closed won contribution • Own a direct pipeline contribution target — not just activity metrics. You hold a number, review it weekly, and course-correct when programs underperform • Work with Marketing Intelligence to define campaign-level pipeline targets and track performance against them • Leverage intent data and buying signals from the Marketing Intelligence team to prioritize campaign audiences and personalize outreach • Build and maintain multi-touch attribution to ensure campaign contribution is accurately captured across the full funnel • Flag expansion signals — customer engagement patterns, advocacy activity, product usage — to the Customer Growth & Advocacy team so post-sale programs can act on them • Brief and collaborate with Content and Brand teams to develop campaign assets: landing pages, nurture emails, one-pagers, and digital ads • Coordinate with Marketing Ops to ensure proper list segmentation, lead routing, and campaign tracking in HubSpot and Salesforce • Align with Product Marketing on sales enablement and ensure campaign messaging is consistent across GTM teams • Develop field-specific assets — event booth briefs, executive event guides, post-event nurture sequences — that connect field presence to campaign pipeline • Own campaign performance reporting: pipeline contribution, MQL-to-SQL ratios, closed won rates, cost per opportunity, and event ROI • Continuously test and optimize campaign elements — messaging, creative, CTAs, audience segments — to improve performance • Present campaign results and recommendations at weekly pipeline reviews; come with a point of view, not just a dashboard • Influence without authority: work across Sales, CS, and Marketing to ensure campaigns are well-supported and properly credited