Jobs / United States / Attentive Mobile INC
Senior Director, Product Management (AI/ML)
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 roles2 certified filings for “Director, Agency Growth Partnerships” (Management Analysts) in NY: $192k–$205k, median $198k. 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 is building an industry-defining Marketing Agent: a unified, vertically integrated, autonomous system that builds on three years of advances to create a step change in performance for our customers. This is a chance to define what an AI-first company looks like and change the trajectory of an industry. You will help decide what autonomous marketing should mean, build the product that makes it useful and trustworthy, and work with a stellar team to bring it to market to 1000’s of Attentive’s enterprise brands and leading companies in every vertical. We are looking for a product leader with marketing, advertising, or ecommerce experience and AI/ML depth to turn our vision into a product that brands trust, use, and get measurable value from. You will own the product strategy and execution for the autonomous agent, working closely with engineering, research, design, machine learning, data science, GTM and our customers. Unlike in other industries, an AI-native marketing solution does not need to simply create one deliverable – it needs to guide and operate a complete machine learning system that itself delivers 1:1 experiences at scale. You will oversee the building of that complete system. You will co-own the revenue number for this product and partner closely with our CEO to make it a success. What You’ll Accomplish • Define the product thesis, strategy, and north-star outcomes for Attentive's autonomous Marketing Agent. Make clear what we are building, for whom, why it will win, and what we will deliberately not build. • Work directly with customers and internal experts to understand how marketing decisions are made today, where automation can create leverage, and where the product must earn confidence before it acts. • Turn an ambitious, ambiguous opportunity into a focused plan: customer problems, product principles, roadmap, sequencing, investment choices, and the decisions required to make progress. • Own the end-to-end agent experience and operating loop - understanding a customer's business and goals, forming a plan, taking action, measuring results, learning, and improving • Partner deeply with engineering and AI/ML teams on model strategy, data and feedback loops, tool use, retrieval, orchestration, evaluation, reliability, latency, cost, and the platform foundations required to make the product real at scale. • Establish a rigorous system for evaluating the agent. Define the metrics, experiments, and failure analysis that tell us how much and why it is genuinely improving customer outcomes. • Lead across boundaries. Clarify o