Avathon

Avathon

Senior Product Manager, Planning

Pleasanton, California, United States · Senior

Sponsorship not specified$140k-$180kDetected 4 days ago
RESTMachine LearningData ScienceNLPComputer VisionAgentic AIProduct ManagementProduct StrategyForecastingSAPSupply ChainLogisticsProcurementERPPerformance ManagementResearchCollaborationS&OPDemand Planning

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 III · 3×
Level I$79,2691 entry
Level II$99,7152 entries
Level III$120,1413 entries
Level IV$140,5874 entries

$587 more — $140,587 — moves this role to Level IV and 4 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 $140,587 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Operations Research Analysts" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Operations Research Analysts (15-2031) · 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

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 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

No reports yet — be the first to help the next applicant.

About the role

  • High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
  • This covers statistical and ML-based forecasting, demand sensing, demand-supply matching, inventory positioning and S&OP for manufacturers and asset-heavy operators in energy, mining, manufacturing and aerospace.
  • Today our planning capabilities are built customer by customer.

Requirements

  • Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

Nice to have

  • Know the market.
  • Understand where Blue Yonder, o9, Kinaxis, Oracle and SAP IBP are strong and where an AI-native, graph-based approach wins
  • Decide what goes into the core product versus what stays as customer configuration
  • Define requirements for demand segmentation, forecast value-add (FVA), and bias and accuracy analytics
  • Bring B2B demand signals into the planning engine, including customer contracts, project forecasts, production schedules, commodity indices and macro indicators
  • Spend real time with planners and S&OP leaders at customer sites and iterate based on real planning cycles
  • Turn requests from deployments into reusable product requirements
  • Work with data science so model outputs become recommendations planners understand and act on

Compensation

  • $140k - $180k salary annually.
  • Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Equal opportunity

  • Avathon is an Equal Opportunity Employer.
  • If you need a reasonable accommodation, please contact us to discuss how we can assist you.

This listing is sourced directly from Avathon's careers page and normalized into a canonical job model.