
Principal Product Manager, Financial Services Solutions
Seattle, WA · HybridFull-time$160–235K/yrSeen 2w agoSeen in employer's feed today
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At a glance
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Job overview
LiveRamp seeks a Principal Product Manager to own financial services product strategy across Consumer Intelligence, Planning & Activation, and Measurement & Optimization. The role turns customer and market needs into scalable solutions for banks, card networks, and other financial institutions, guiding products from discovery and strategy through delivery, launch, and adoption. It also shapes the financial services agentic roadmap and supports repeatable deployments and customer value.
Skills & qualifications
Skills
Qualifications
Full job description
Employment Type: FullTime
Location Type: Hybrid
Department: Marketing and Advertising Solutions, Product
LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com.
You will:
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Own the Financial Services vertical product strategy across LiveRamp’s three solution areas: Consumer Intelligence, Planning & Activation, and Measurement & Optimization; delivering reference data models, outcome recipes, playbooks for banks, card networks, and financial institutions supporting solutions without bespoke builds.
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Drive deployments across three archetypes: FIs as marketers, as media networks (card-linked offers, brand collabs), and non-advertising use cases (fraud/risk, KYC/AML, cross-LOB collaboration).
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Define Consumer Intelligence: audience segmentation, merchant/category taxonomies, identity resolution, journey modeling for transaction and card data.
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Extend Planning & Activation: translate regulated-industry requirements (permissioning, governance, compliance, TPRM) into product requirements, clean-room configs, activation paths.
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Lead customer discovery with banks, card networks, processors, insurers to validate use cases across identity, activation, measurement, risk/compliance.
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Partner with Commercial, Sales, GTM, Engineering, Design, Data Science, Legal, Privacy, Security, CS to package offerings; insights packages, brand-collab motions, activation paths, pricing, delivery.
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Establish success metrics across all three solution areas; launch first FinServ packages and support FMN brand collaborations within 12 months.
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Shape the FinServ agentic roadmap extending AI workflows to transaction data with governance bank risk/compliance teams accept.
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Guide solutions from strategy through delivery, launch, enablement, adoption against company objectives.
Your team will:
You will join LiveRamp’s Industry Solutions Product Management organization, reporting to the Sr Director of Industry Solutions Product Management. Work alongside Solution PMs, architects, TPMs, engineers, and data scientists building Consumer Intelligence, Planning & Activation, and Measurement & Optimization for financial institutions.
The FinServ team helps FIs (as marketers, media networks, or non-advertising use cases) use data responsibly to improve customer experience, marketing, measurement, and collaboration, solving for fragmented transaction data, taxonomies, identity resolution, privacy, permissioning, governance, and model risk.
You'll turn customer and market needs into scalable solutions, build repeatable deployment patterns, and help customers realize value across all three solution areas.
About you:
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8+ years in product management, technical product strategy, or product solutions. Hands-on experience delivering value to the customer.
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3+ years building data, analytics, media, or tech products for banks, card networks, processors, or fintechs.
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Understands FinServ data structures: transaction/card data, merchant category taxonomies, audience construction.
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Understands privacy, security, governance, regulatory considerations (GLBA, model governance, compliance review, TPRM).
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Took a 0-to-1 product/vertical solution from definition through launch and first paying customers, incl. pricing/packaging.
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Led enterprise discovery, converting ambiguous demand into scoped, sequenced roadmaps with clear success measures.
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Defines product vision, prioritizes, connects strategy to measurable outcomes.
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Partners effectively across engineering, design, data science, legal, privacy, security, sales, marketing, commercial, CS.
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Communicates complex technical, commercial, and regulatory topics to technical and executive audiences.
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Uses qualitative/quantitative inputs — research, market intelligence, product data — to drive decisions.
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Bachelor's degree or equivalent experience.
Preferred Skills:
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Direct experience with commerce media, retail media networks, card-linked offers, merchant-funded rewards programs, or card-network media businesses.
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Identity resolution, cloud data platforms, APIs, data governance, or privacy-enhancing tech.
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Building FinServ products for banks, issuers, lenders, insurers, wealth management, processors, fintechs.
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AI/agentic product development: LLM workflows, context engineering, proactive recommendations, human-in-the-loop.
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Using experimentation and analytics to improve product adoption.
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Relationships or operating experience inside a major issuer, card network, processor, or FinServ media business.
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B2B SaaS, data, or enterprise platform experience.
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Fraud, risk, KYC/AML, or other non-marketing use cases, incl. cross-LOB sharing under GLBA.
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Spans multiple solution areas within a data, media, or martech platform.The approximate annual base compensation range is $159,500 to $234,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
We are proud to be an equal employment opportunity and affirmative action employer. We believe in diversity and do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis of discrimination prohibited by law.
How this job compares
Set against the 10,033 open Product Management jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$160–235K/yr
- Washington median$151–236K/yr396 salary ranges
- US median$143–221K/yr8,121 salary ranges
This range's midpoint, $197K, is 3% above the Washington median midpoint ($192K) — in the middle half of Product Management salary ranges in Washington.
- Openings
- Olive Jobs lists 425 open Product Management jobs in Washington and 10,033 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon153 open
- Microsoft Corporation41 open
- Oracle18 open
- Experience
- This posting asks for at least 8 years of experience; Product Management postings that state a minimum ask for 7 years at the median (8,429 postings).
- Education
- 3,309 of the 10,033 open Product Management jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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