Quantifind

Quantifind

Technical Product Manager

New York, New York · Mid · Full-time

Sponsorship not specified$130k-$160kDetected 3 days ago
GitSQLCloud PlatformsAPI DevelopmentMachine LearningData EngineeringNLPStatisticsComplianceProduct ManagementProduct StrategyAgileJiraProcurementHRCustomer SuccessLeadershipCollaboration

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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 II · 2×
Level I$66,9141 entry
Level II$99,8402 entries
Level III$132,7463 entries
Level IV$165,6724 entries

$2,746 more — $132,746 — moves this role to Level III and 3 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 $132,746 would place this position at wage Level III. 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) · New York-Newark-Jersey City, NY-NJ. 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

  • Work directly with executive leadership as you help us innovate new solutions
  • You will have as much client exposure as you desire, with the expectation that great product insights come from direct user feedback.
  • A fun environment where work-life balance is valued

Responsibilities

  • Own the roadmap for enterprise readiness - identity and access management, permissions, auditability, tenancy, data handling and retention, and administrative control
  • Own the platform's integration surfaces, including our APIs, batch and real-time processing paths, and the developer experience of teams building against us
  • Partner closely with Compliance, Delivery, and Customer Success to understand where deals stall and where deployments strain, and feed that back into the roadmap

Requirements

  • You are a technical product manager who is drawn to the parts of a product that make or break an enterprise deal.
  • You are comfortable in technical conversations without needing to be the engineer in the room.
  • You can read a latency dashboard, reason about an API contract, and ask the second and third question about a proposed architecture.
  • You are collaborative by nature and have achieved success as a team player.
  • You want an opportunity to put your mark on a platform as it is being built, 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

  • You have shipped enterprise-grade capabilities such as SSO/SAML/SCIM, role-based access control, audit logging, multi-tenancy, entitlements, admin tooling, or data retention and residency controls
  • You have helped scale products by improving throughput, latency, reliability, fault tolerance, capacity, or cost efficiency as customer and usage demands grew
  • You use data and operational metrics to guide product decisions and prioritization, including metrics such as p95/p99 latency, error rates, SLOs, capacity headroom, and product usage
  • You have strong user empathy and can translate customer and business needs into clear technical requirements, including when the end user is another engineering team

Compensation

  • The base salary range for this full-time position is $130,000 to $160,000.
  • Competitive salary

Benefits

  • Company Equity
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

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 through an AI-driven software-as-a-service (SaaS) solution 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 uniquely 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. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand
  • Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Demand for this solution is fueling our rapid growth.
  • 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 through an AI-driven software-as-a-service (SaaS) solution 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 uniquely 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.
  • Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions.
  • Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
  • Demand for this solution is fueling our rapid growth.
  • 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.

Equal opportunity

  • We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.
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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.