Quantifind
Technical Product Manager - Core Models
Palo Alto, CA · Mid · Full-time
Sponsorship not specified$145k-$185kDetected 11 days ago
Machine LearningData AnalysisData ScienceNLPStatisticsProduct ManagementProduct StrategyAgileLeadershipCollaboration
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$113,6721 entry
Level II$154,4822 entries
Level III$195,2703 entries
Level IV$236,0804 entries
$9,482 more — $154,482 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $154,482 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 11 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
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About the role
- This role is co-sponsored by our Data Science organization.
- Guide ongoing model improvement- Use evaluation results, customer feedback, and performance monitoring to identify gaps and prioritize refreshes or further development.
- Work directly with executive leadership as you help us innovate new solutions.
Responsibilities
- Own the Core Models product strategy and roadmap- Prioritize model build and refresh initiatives based on customer needs, performance gaps, business value, and technical feasibility.
- Guide model evaluation and threshold selection- Partner with Data Science to establish evaluation criteria and select thresholds that balance precision, recall, missed risk, and review workload for the intended use case.
- Co-own customer-facing model documentation with Data Science- Clearly explain intended uses, evaluation methods, performance, assumptions, limitations, and material changes.
- Serve as a customer-facing subject matter expert on our models- Support technical discussions, evaluations, and customer reviews, translating model behavior and performance into clear, defensible explanations.
- Own Quantifind's interfaces with customer Model Risk Management processes- Coordinate model questionnaires, validation requests, supporting documentation, and responses to findings in partnership with Data Science and other internal stakeholders.
- Drive model initiatives through delivery- Define scope, requirements, acceptance criteria, and release priorities; align Data Science and Engineering on execution; and assess results against the intended product outcomes.
Requirements
- You are a highly analytical professional that operates at the interface of Product Management and Data Science..
- You can translate a use case into a clear prediction target, define what constitutes a true positive, and reason through the tradeoffs between missed risk and unnecessary alerts.
- You know how to turn customer needs into model requirements, evaluate whether an improvement matters in practice, and prioritize new capabilities alongside improvements to existing models.
- You are rigorous and analytical, but you move with urgency and make practical decisions with imperfect information.
- You are collaborative by nature and have achieved success as a team player.
- You feel strongly about being mission-driven in your work, and above all else you are innately curious and motivated to learn new things.
Nice to have
- BS or MS in computer science, statistics, mathematics, engineering, or a related technical field, or bring equivalent practical experience.
- You can turn an ambiguous customer problem into a well-defined model use case, prediction target, and measurable acceptance criteria.
- You understand how label quality, class imbalance, and the representativeness of evaluation data affect conclusions about model performance.
- You are comfortable partnering closely with Data Science and Engineering, distinguishing product decisions from modeling implementation choices while contributing meaningfully to both discussions.
- You understand agile software development and can translate priorities into clear requirements and an actionable backlog.
Compensation
- The base salary range for this full-time position is $145,000 - 185,000.
- Competitive salary
Benefits
- Flexible vacation & paid time off
- Company equity
- Exceptional benefits package
Company info
- Quantifind is the Risk Intelligence company. We help some of the world's biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results in a software-as-a-service (SaaS) model with consumer-grade user experiences.
- Quantifind's Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind's solution combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
- Our customers need to understand the intelligence they rely on: what our models assess, how their performance is measured, and where their limitations lie. The Core Models product area connects the development of our models to those customer needs and the workflows they support.
- To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance.
- Quantifind is the Risk Intelligence company.
- We help some of the world's biggest banks identify money laundering and fraud.
- Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security.
- Unlike other players in this space, Quantifind delivers results in a software-as-a-service (SaaS) model with consumer-grade user experiences.
- Quantifind's Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques.
- In financial crimes risk management, Quantifind's solution combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
- Our customers need to understand the intelligence they rely on: what our models assess, how their performance is measured, and where their limitations lie.
- The Core Models product area connects the development of our models to those customer needs and the workflows they support.
- To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours.
- We offer a flexible work environment with a family-friendly work-life balance.
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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.