Avathon

Avathon

Senior Product Manager, Platform

Pleasanton, California, United States · Senior

Sponsorship not specified$140k-$180kDetected 4 days ago
SnowflakeDatabricksAWSGCPPlatform EngineeringMachine LearningNLPComputer VisionLLMsAgentic AILLMOpsProduct ManagementProduct StrategyAgileSAPSupply ChainLogisticsERPPerformance ManagementCollaborationSCADA

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 II · 2×
Level I$80,8701 entry
Level II$121,0142 entries
Level III$161,1383 entries
Level IV$201,2824 entries

$21,138 more — $161,138 — 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 $161,138 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) · 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

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About the role

  • High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
  • That includes data ingestion and connectors for IT and OT systems, the ontology and Computational Knowledge Graph, the Model Hub for ML and LLM models, and the agentic AI layer.
  • This is a product management role in Product Engineering, not a customer delivery role.

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 Palantir Foundry and AIP, C3 AI, Databricks, Cognite and the hyperscaler AI platforms, and be clear on where Avathon wins in industrial settings
  • Track platform adoption and value, such as time to first data, connector reuse and time to deploy a model
  • Write clear requirements and acceptance criteria for platform engineering and AI science
  • Make trade-offs between platform investment and near-term customer needs, and communicate them clearly
  • 8+ years in product management, with at least 4 years owning a data, ML, developer or platform product
  • Experience at Palantir, C3 AI, Databricks, Snowflake, Cognite, or a hyperscaler AI or data platform team (Google Cloud, AWS, Microsoft) is a strong plus
  • Deep understanding of data integration, data modeling and ontologies, and ML or LLM operations

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.