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HomeCompaniesClaritypayProduct Analytics & Optimization Lead

Product Analytics & Optimization Lead

Claritypay · New York City · Hybrid · Active · $120,000–$180,000 / year · Ashby

Job facts

FieldValue
CompanyClaritypay
TitleProduct Analytics & Optimization Lead
Normalized title-
Department / teamProduct Management / Product Management
LocationNew York City, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$120,000–$180,000 / year
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Claritypay.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Product Management.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyClaritypay
Sourceefff4170-ed34-4cf0-8b71-4d585cd78377
ATS providerAshby

Description

Job Title: Product Analytics & Optimization Lead - FinTech (Consumer Lending) Location: New York, NY Experience Level: Mid-Level (5+ Years) About ClarityPay We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time. We're a fast‑growing fintech empowering enterprise merchants with smarter, more adaptive pay‑over‑time solutions. From point‑of‑sale financing to “Buy Now, Pay Later” programs and loyalty‑integrated offers, we’re building configurable credit tools that help businesses serve more of their customers. We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience. Role Overview: We are looking for a data-driven Product Optimization Lead who thrives at the intersection of analytics, product strategy, and growth experimentation. You will own end-to-end insights generation across the customer lifecycle — from acquisition to retention — to drive improvements in conversion, engagement, and customer satisfaction. Your work will directly shape product strategy, influence prioritization, and power a robust experimentation pipeline that improves our product funnel at scale. You will partner cross-functionally across data science, product and credit risk teams to optimize conversion offer presentation and profitability. This is an in-office position based in our office in Hudson Yards, NYC area. Qualifications: 5+ years of product management experience with a focus on growth, funnel optimization, or credit risk. Demonstrated expertise in experimentation and CRO (conversion rate optimization), including A/B testing platforms, analytics tools, and customer segmentation. Familiarity with FinTech, consumer lending, or regulated environments is a strong plus. Proficiency using tools like SQL, Quick Sight, Tableau or other business intelligence tools Experience writing clear PRDs and collaborating within Agile teams (Jira, Confluence, Figma). Analytical mindset with strong problem-solving and data storytelling capabilities. Strong communicator who can influence stakeholders and balance speed with quality. Based in New York City and able to work full-time in-office in Hudson Yards. Key Responsibilities Product Funnel Analytics & Optimization Analyze conversion funnels (acquisition, onboarding, checkout, repayment, etc.) to uncover insights and identify drop-offs or friction points. Design, implement, and monitor A/B tests to iterate on UX flows and improve user experience across platforms (web, mobile, in-app). Partner with Product Managers, Growth, and Design to inform roadmap prioritization based on quantitative insights. Insights & Reporting Build and maintain dashboards that track key performance indicators (KPIs) such as approval rates, checkout drop-offs, repayment completion, and product engagement. Define and implement cohort-based retention and LTV analyses to guide personalization and product improvements. Provide actionable recommendations to senior leadership on funnel efficiency and growth opportunities. Data Infrastructure & Experimentation Collaborate with Data Engineering to ensure instrumentation is accurate and comprehensive across user touchpoints. Partner with Engineering and Product to establish experiment logging and metric governance. Develop frameworks to measure statistical significance and experiment velocity. Cross-Functional Partnership Work closely with Credit Risk, Marketing, Finance, and Customer Success to align goals and interpret how changes in product design affect downstream KPIs. Support personalization and segmentation strategies with user clustering, predictive modeling, and funnel segmentation. What We Offer: Competitive compensation and equity package. Full suite of medical, dental, and vision benefits. A collaborative, transparent, and impact-driven office culture. Opportunities to drive major outcomes and help shape the product foundation of a rapidly scaling company. 401k program Ready to redefine consumer lending with us? Apply today and join a passionate team committed to making financial clarity a reality. Salary Range: $120,000 – $180,000 per year , based on experience and qualifications. ClarityPay is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran, marital status, or any other legally protected status.

Full job record

Job ID732fc5a73b8c0af5deca7a90cfc07e6d33181543
Org ID271973d6-a8dc-455b-886f-d596bbe8bc63
Source IDefff4170-ed34-4cf0-8b71-4d585cd78377
Board IDefff4170-ed34-4cf0-8b71-4d585cd78377
Providerashby
Provider Job Key98a402a2-6f0c-4b8a-b7ac-d39d35fd7162
TitleProduct Analytics & Optimization Lead
Normalized Title
Statusactive
Activeyes
Location TextNew York City
DepartmentProduct Management
TeamProduct Management
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York City
Salary RawSalary Range: $120,000 – $180,000 per year , based on experience and qualifications
Salary Min120,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.ashbyhq.com/claritypay/98a402a2-6f0c-4b8a-b7ac-d39d35fd7162
Apply URLhttps://jobs.ashbyhq.com/claritypay/98a402a2-6f0c-4b8a-b7ac-d39d35fd7162/application
First Seen At2026-05-29 07:06:47Z
Last Seen At2026-06-06 09:39:37Z
Last Checked At2026-06-06 09:39:37Z
Last Changed At2026-05-29 07:06:47Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=claritypay/date=2026-06-06/2026-06-06T09-39-22-502Z-98bd82f9ce0d9c40116fcc9404c059b3712ada038e199a1aa8ac19b7c054b269.json
Event Fields
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  "last_changed_at": "2026-05-29T07:06:47.786Z",
  "active_status": "active"
}
Parsed Structured
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    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
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  "salary_max": 180000,
  "salary_min": 120000,
  "inferred_at": "2026-06-06T09:39:37.716Z",
  "launch_scope": {
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    "language": "en",
    "location": {
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      "region": "NY",
      "country": "United States",
      "is_remote": false,
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    },
    "countries": [
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    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
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  "team": "Product Management",
  "title": "Product Analytics & Optimization Lead",
  "jobUrl": "https://jobs.ashbyhq.com/claritypay/98a402a2-6f0c-4b8a-b7ac-d39d35fd7162",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/claritypay/98a402a2-6f0c-4b8a-b7ac-d39d35fd7162/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York City",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Product Management",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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