Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Allstate Insurance Company paid sponsored hires in similar roles2 certified filings for “Digital Product Manager” (Computer Systems Analysts) in CA: $177k–$199k, median $188k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Allstate Insurance Company paid sponsored hires in similar roles
- 2 certified filings for “Digital Product Manager” (Computer Systems Analysts) in CA: $177k–$199k, median $188k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
The Product Management (Technical) Expert is responsible for defining, delivering, and managing the lifecycle of one or more products in Allstate's growing product portfolio. This individual manages strategic product vision, product discovery, roadmaps, and backlog to maximize the customer and enterprise value provided by their product. Successful Product Managers help to identify assumptions and validate those assumptions using product discovery techniques. This individual is also responsible for working closely with key stakeholders and partners, ensuring the successful definition and execution of go-to market and communications strategies for their products.
Primary Skills: Confluent Kafka, Event Streaming, Product Management, Cloud Platforms, Data Integration
Role Overview
We are seeking an experienced Digital Product Manager to lead the strategy, roadmap, governance, and adoption of our enterprise Confluent Kafka Event Streaming Platform . The ideal candidate will possess a strong blend of product management expertise, event-driven architecture knowledge, platform governance experience, and stakeholder management capabilities.
This role will be responsible for defining the vision and roadmap for the enterprise streaming platform, enabling business teams to build real-time data products, driving platform modernization initiatives, and ensuring the platform delivers secure, scalable, and reliable streaming capabilities across the organization.
Key Responsibilities
• Own and define the product vision, strategy, and roadmap for the enterprise Confluent Kafka platform.
• Partner with business stakeholders, architects, engineering teams, data platform teams, and security organizations to prioritize platform capabilities and enhancements.
• Drive adoption of event-driven architecture and streaming technologies across the enterprise.
• Manage product backlogs, prioritization, feature planning, and release management activities.
• Establish governance standards for topic management, schema evolution, data retention, security, and platform onboarding.
• Lead platform modernization initiatives involving cloud-native streaming, real-time analytics, AI/ML integration, and data sharing capabilities.
• Collaborate with engineering teams to improve platform scalability, resiliency, observability, performance, and self-service capabilities.
• Define and track key product metrics including platform adoption, producer/consumer growth, throughput, platform health, and customer satisfaction.
• Work with business and technology leadership to identify opportunities for real-time event streaming solutions.
• Manage vendor relationships and evaluate emerging event streaming technologies and capabilities.
• Drive platform operational excellence through continuous improvement initiatives and customer feedback programs.
Required Skills & Experience
• 12+ years of experience in Product Management, Data Platforms, Middleware, Integration Technologies, or Event Streaming solutions.
• Strong experience with Confluent Kafka and enterprise event streaming platforms.
• Proven experience managing platform products and driving enterprise-wide technology adoption.
• Deep understanding of event-driven architecture, publish-subscribe patterns, stream processing, and real-time data integration.
• Experience work
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