Jobs / United States / Attentive Mobile INC
Senior Engineering Manager, Platform
Attentive Mobile INC · 🇺🇸 United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- 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. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 roles2 certified filings for “Manager, Engineering” (Computer and Information Systems Managers) in CA: $275k–$300k, median $288k. 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).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Attentive Mobile INC
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. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Attentive Mobile INC →
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 ! • Lead the technical vision for the Data and Event team, aligning with company goals and driving strategic outcomes through innovative data solutions • Oversee the design and implementation of high-throughput data solutions, ensuring that they are scalable, efficient, and capable of powering critical operations • Partner with teams across AI, ML, analytics, and other departments to enhance and expand our self-service data platform, ensuring it meets the evolving needs of the organization • Establish and uphold high standards for data quality, governance, and system integration, addressing complex distributed data challenges with robust solutions • Recruit, mentor, and develop a high-performing engineering team, fostering a culture of continuous learning, experimentation, and collaboration • Balance and prioritize multiple projects, ensuring timely delivery and alignment with business objectives while maintaining high standards of technical excellence • Manage technical debt, including long term technical architecture decisions and balance product roadmap. • Position is 100% remote; must reside in US; reports to HQ. • MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Management Information Systems, Information Technology, or related field, plus 7 years of professional experience as a Software Engineer, Data Engineer or any occupation, position involving the design, development, and oversight of large-scale data systems, distributed data platforms, or event-driven architectures. Must also have the following: • 5 years of professional experience leading the technical design and implementation of scalable, high-throughput data systems or event-driven architectures, including modern application frameworks, to support critical business operations • 5 years of professional experience utilizing programming languages for backend or data engineering development (including Java, Python, or Go) and build and dependency management tools to develop, test, and deploy distributed systems or data platforms • 5 years of professional experience architecting, building, and maintaining production data models and pipelines including relational and non-relational databases (including SQL-based and NoSQL databases), dimensional modeling, and distributed ETL or workflow orchestration systems • 5 years of professional experience performing large-scale data processing using distributed computing and data storage technologies, including SQL and NoSQL databases, in-memory data stores, messaging or streaming systems, and workflow or batch processing framewor