Jobs / United States / Attentive Mobile INC
Director of Engineering, Marketing Agent Platform
Attentive Mobile INC · 🇺🇸 New York, NY
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 roles1 certified filing for “Lead Product Manager, Data Platform Strategic Integrations” (Marketing Managers) in NY: $250k–$250k, median $250k. 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 ! About the Role Attentive sends billions of messages each year for more than 8,000 brands, helping drive tens of billions of dollars in revenue for our customers. Behind every message is a series of decisions: who should receive it, what it should say, when it should send, which offer to include, and which channel to use. We’re building the next generation of that decision-making system: an autonomous marketing agent designed to transform how brands plan, execute, and optimize their marketing. Marketers will set the goals and boundaries, while the platform develops strategies, takes action, measures results, and continuously improves over time. In this role, you’ll build the engineering systems that make that vision possible. You’ll work at the intersection of agentic planning, real-time behavioral signals, platform capabilities, experimentation, and reliable execution at massive scale. Your work will help turn increasingly sophisticated AI systems into dependable products that can make and act on millions of marketing decisions. The opportunity extends beyond Attentive’s own channels. Through APIs and MCP, we’re building toward a future where this intelligence can operate across a brand’s broader marketing stack, including external email providers, advertising platforms, websites, and custom agents. This is an opportunity to help evolve Attentive from a platform that powers messages into one that coordinates and continuously improves a brand’s broader marketing program. What You’ll Accomplish • 3+ years managing engineers, 8+ years engineering • Has seen and helped build engineering excellence at a top-tier organization. Sets an ambitious bar for talent and execution, knows how to hire and lead an A+ team, and brings strong technical opinions with the curiosity to challenge their own assumptions. • Has worked on building large-scale reinforcement learning systems (not the ML, but the data, infra, and serving platforms beneath it); examples of where you might find these engineers are from frontier labs, AI-native companies using RL for fine-tuning, AI labeling companies (Handshake, Mercor, ScaleAI), or other tech companies that have built web-scale production-grade reinforcement learning system • Understands the interface between product engineering, ML, and data science, and is fluent enough to be a real partner. Understands what a model needs from the platform, without needing to own the model. • Has shipped agentic or LLM-backed systems and knows the production tradeoffs of tool use, orchestration, and retrieval • Strong on distributed, data-heavy systems: