SVP, Product Manager

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

35% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

SVP, Product Manager Westlake Village, California PENNYMAC Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day The SVP, Product Manager a high-impact individual contributor role designed for a practitioner who is equally fluent in quantitative finance and applied machine learning. The Senior AI Product Manager will own the end-to-end product lifecycle for capital markets AI initiatives-spanning discovery, roadmap definition, technical delivery, and benefits realization-while embedding deeply with trading desks, risk, portfolio management and capital markets operations. The role demands someone who can operate at the strategic altitude and engage with capital allocators and the technical depth of a machine learning engineer and or data scientist, translating complex desk workflows into production-grade AI solutions that deliver measurable impact on efficiency, risk posture, and revenue capture. Responsibilities: Drive end-to-end AI product lifecycle across all capital markets workstreams-from discovery and requirements definition through development, testing, launch, and post-launch optimization. Manage a unified AI backlog spanning the full CM value chain; govern cross-pod dependencies, sequencing, and resource allocation with disciplined prioritization. Translate complex desk workflows and business problems into clear Product

Read the full description at careers-pennymac.icims.com. FewerJobs shows a source-linked preview and links to the original posting.