Sr. Product Owner, Sales Technology, LinkedIn Marketing Solutions

Job summary New York Hybrid 1 month ago Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun -- where everyone can succeed. Join us to transform the way the world works. Job Overview This role will be based in Bellevue, New York, Chicago, San Francisco, or Sunnyvale depending on where the candidate selected is currently residing. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role sits within Technology & Product Operations (TPO) and supports LinkedIn's Marketing Solutions (LMS) business as a hands-on senior product owner. You will own a portfolio of enterprise Salesforce and Sales Technology products end-to-end --- from customer discovery, through definition and delivery, to launch and adoption --- shipping solutions that scale with one of the largest B2B advertising sales organizations in the world. You will be deeply embedded with your customers --- Sales Ops, GTM leaders, and frontline reps --- and use that proximity to shape the roadmap. Day-to-day you will lead discovery, write crisp PRDs and user stories, set success metrics, prioritize ruthlessly, and drive delivery alongside Engineering, TPM, and cross functional partners. You will own outcomes, not just outputs. We are looking for a product manager with deep product knowledge and a strong track record of shipping. You think in systems, write clearly, are hands-on with data, and operate independently with speed. This is an opportunity to drive meaningful impact on the core systems infrastructure that enables LinkedIn's global advertising sales organization to operate predictably, efficiently, and at scale. Responsibilities Lead end-to-end product ownership for defined ecosystem product areas from discovery through launch, adoption, and continuous improvement. Run rigorous customer discovery with Sales Ops, GTM leaders, and frontline sellers to deeply understand workflows, pain points, and unmet needs before scoping solutions. Write crisp product requirements, user stories, and acceptance criteria; maintain a clearly prioritized backlog grounded in customer value, business impact, and technical feasibility. Partner with Engineering and TPM through agile development cycles to ship scalable, high-quality solutions on predictable cadences. Lead solution design for complex, cross-system challenges spanning Salesforce, upstream data platforms, and downstream reporting and planning tools. Define success metrics up front, instrument for measurement, and use data to validate hypotheses, drive iteration, and demonstrate impact. Own product roadmaps for your domain by identifying workflow gaps, system inefficiencies, and opportunities for automation, simplification, and standardization. Drive alignment across stakeholders when system-of-record boundaries, data governance, and integration dependencies create competing priorities. Lead launch and change management — from rollout planning and enablement, through adoption tracking and post-launch iteration. Maintain delivery artifacts (PRDs, roadmaps, backlogs, initiative trackers) and communicate status, risks, and trade-offs clearly to senior leaders. Set the bar for product craft on the team and continuously raise it — for yourself and the broader Sales Technology org. Qualifications Basic Qualifications 6 years of work experience in Product Management, with hands‑on experience shipping enterprise B2B products end-to-end or across the full product lifecycle: customer discovery, problem framing, PRDs, prioritization, delivery alongside engineering, launch, and post-launch iteration. 4 years of work experience in B2B Sales, Advertising, Sales Operations, or Go‑To‑Market Operations. 1 year(s) experience working with enterprise sales technology platforms (e.g., Salesforce, Anaplan, Pigment, Dynamics, Xactly). Preferred Qualifications Experience building AI solutions or leveraging AI tools such as Clause Code, Cursor, etc. Track record of shipping enterprise or B2B products that scaled to thousands of users. Demonstrated excellence in customer discovery and problem definition — comfortable in the field with users, translating qualitative insight and quantitative signal into prioritized product bets. Strong product craft: writes precise PRDs, sets clear success metrics up front, drives data-informed prioritization, and is comfortable making trade-off calls under ambiguity. Experience building or managing enterprise platforms. Experience in advertising, media, or ad technology. Strong understanding of CRM data models, system integrations, and cross-platform data governance. Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies and their relevance to the marketplace. Ability to manage and lead across highly cross‑functional teams in a matrixed environment. Compensation and Benefits LinkedIn is committed to fair and equitable compensation practices. The base pay range for this role is $138,000 to $225,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: #J-18808-Ljbffr