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 22 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 Attentive Mobile INC paid sponsored hires in similar roles4 certified filings for “Senior Software Engineer, Data Platform” (Software Developers) in NY: $212k–$252k, median $214k.
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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 22 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 Attentive Mobile INC paid sponsored hires in similar roles
- 4 certified filings for “Senior Software Engineer, Data Platform” (Software Developers) in NY: $212k–$252k, median $214k. Most were filed at wage level IV (75%) — 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
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index !
About the Role
The Shopper Data Platform team is the backbone of our data-driven personalization efforts, responsible for ingesting, processing, and serving millions of user data points daily. As a Senior Software Engineer on this team, you will design, build, and evolve the high-scale systems that serve as the single source of truth for user profiles and power core products, advanced segmentation, personalization, and machine learning capabilities.
You will take ownership of complex technical problems across our data platform, partnering with engineering, product, data, and ML teams to deliver scalable and reliable solutions. You’ll contribute to architectural decisions, drive projects from design through production, and help improve the quality, performance, and maintainability of the systems your team owns.
This is an opportunity to work on foundational infrastructure at the center of our company’s mission to make user data more actionable and valuable. The ideal candidate is a backend engineer who enjoys solving complex distributed systems and data challenges, taking meaningful ownership, and helping the engineers around them do their best work.
What You’ll Accomplish
• Design, build, and evolve high-scale backend systems responsible for the ingestion, processing, storage, and serving of Shopper Data Platform and attributes.
• Own complex engineering projects end-to-end, translating product and business requirements into scalable technical designs and driving them from implementation through successful operation in production.
• Develop and improve APIs, streaming pipelines, and platform capabilities that enable teams across the company to safely and efficiently build on user-profile data.
• Improve the scalability, reliability, data quality, observability, and performance of systems processing large volumes of user and event data.
• Partner with product, data, and ML teams to deliver user attributes and data capabilities supporting segmentation, personalization, revenue attribution, behavioral analytics, and machine learning.
• Contribute to technical design and engineering standards through design reviews, thoughtful architectural decisions, mentorship, and hands-on development of technically challenging work.
Your Expertise
• 6+ years of professional software engineering experience, with experience designing and operating backend or distributed systems at scale.
• Strong experience with data ingestion, processing, and streaming architectures, including systems handling large volumes of user, event, or similarly high-cardinality data.
• Strong program
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