Early Warning Services, LLC
Technical Product Manager - Data
San Francisco, California, USA · Senior · full-time
Stay score
odds of building a lasting career here
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
$15,014 more — $121,014 — 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 $121,014 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 Francisco-Oakland-Fremont, 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
Green-card follow-through: 43%
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
- Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- This position is ineligible for employment Visa sponsorship.
Requirements
- 3+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users.
- Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira.
- Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization.
- Hands-on experience writing, reviewing, and tuning SQL, Spark, and Python.
- Comfort with product analytics and data visualization tools (e.g., Tableau).
Nice to have
- Master's degree in STEM or related field.
- Deep understanding of foundational data and analytics concepts.
- Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.
- Strong understanding of data management requirements in a regulated industry.
- Experience in financial institutions, particularly payments, identity, and fraud analytics.
- Experience working with terabyte size datasets.
- Experience with change management and moving from on-prem to cloud.
- Hands-on experience with Python or R, as a data scientist.
Compensation
- AZ in USD per year is:
- $106,000 - $142,000.
- San Francisco, CA in USD per year is:
- $128,000 - $170,000.
- Additionally, candidates are eligible for a discretionary incentive plan and benefits.
- This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer.
Benefits
- The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
- 401(k) Retirement Plan -Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
- Paid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
- We continue to enhance our program, so be sure to check our Benefits page here for the latest.
Company info
- At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more.
- Requires the ability to communicate with internal and/or external customers.
Visa & Work Authorization
- This position is ineligible for employment Visa sponsorship.
This listing is sourced directly from Early Warning Services, LLC's careers page and normalized into a canonical job model.