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2 дня назад

Lead Product Manager, Marketing Agent (Cross-Platform)

212Β 000 - 265Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Lead Product Manager, Marketing Agent (Cross-Platform) (AI marketing platform): Building a unified Marketing Agent that connects to external marketing platforms through APIs, MCP, and deeper integrations, with an accent on autonomous audience selection, personalization, creative generation, and cross-platform messaging. Focus on defining the 0-to-1 product strategy, making integration and architecture decisions, measuring incrementality, and scaling a resilient product with engineering, ML, data science, design, and GTM.

Location: New York, NY (Hybrid), with in-office collaboration Tuesday through Thursday each week. Other eligible location: United States.

US base salary for this full-time position: $212,000–$265,000 annually, plus equity and benefits.

Company

hirify.global is an AI marketing platform that unifies SMS, RCS, email, and push notifications to deliver personalized customer experiences for more than 8,000 brands.

What you will do

  • Define the strategy and roadmap for bringing the Marketing Agent to the platforms used by enterprise brands.
  • Choose integration approaches across APIs, MCP, and deeper connections, making architecture and sequencing decisions with engineering.
  • Extend predictive audiences, propensity and LTV scores, product recommendations, send-time decisions, brand voice, and AI-generated creative across external environments.
  • Build resilient integrations that handle API limits, data access constraints, and changing third-party platforms.
  • Partner with customers and customer-facing teams to identify multi-platform marketing opportunities and define success metrics, experiments, and incrementality tests.
  • Lead a dedicated engineering team and collaborate with design, ML, data science, and GTM to take the product from 0 to 1 and scale it.

Requirements

  • 6+ years of product management experience, including ownership of customer-facing products from discovery through launch, iteration, and growth; quality and level of experience matter more than the exact number of years.
  • Experience in marketing technology, including retention or lifecycle marketing, CDPs, data platforms, adtech, personalization, or audience management.
  • Technical background such as a computer science or engineering degree, or prior experience as an engineer, data scientist, or solutions architect; ability to engage with engineers on system design, data flows, and tradeoffs.
  • GM-style ownership of product direction and business outcomes, including tradeoffs between speed, scope, and quality.
  • Experience leading 0-to-1 work where the path changed through learning.
  • Strong product judgment and analytical depth, using customer evidence, experiments, and metrics to make decisions and identify when something did not work.
  • Excellent written and verbal communication, with the ability to influence technical and non-technical stakeholders, partners, and executives.

Nice to have

  • Experience building API products, developer platforms, or integrations used by other companies.
  • Experience with CDPs, data activation, or integrations between marketing systems.
  • Hands-on familiarity with AI agents, MCP, or applied generative AI.
  • Hands-on SQL or data analysis skills.

Culture & Benefits

  • Hybrid work based in the New York office, with in-office collaboration Tuesday through Thursday.
  • Health and wellness benefits, equity, and other employee benefits.
  • Company values include acting decisively, customer focus, ownership, teamwork, and inclusive collaboration.
  • Employee resource groups are available through AWAKE.

Hiring process

  • Recruiter conversation followed by a hiring manager screen.
  • Take-home case study, discussion of the case, and a Data & Analytics interview focused on metrics and product performance.
  • Engineering Collaboration and Product Execution interviews, followed by an executive interview.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны

Если Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого. Π­Ρ‚ΠΎ мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ Β«ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡΒ» ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’