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Текст:
Hirify AI/Оригинал
TL;DR
Growth Marketing Engineer (AI): Building automated lifecycle systems, paid acquisition programs, GTM infrastructure, conversion experiments, and internal tools for a B2B SaaS and developer-tools product with an accent on AI-native workflows, attribution, and data-driven growth. Focus on designing and shipping experiments across email, paid media, web, and product-adjacent surfaces, integrating CRM and account intelligence data, and scaling systems that improve pipeline.
Location: Remote, United States
Company
hirify.global provides account intelligence for go-to-market teams through a web app, API, CRM integrations, and an MCP server for AI agents. Customers include Snowflake, Figma, Elastic, Wiz, and Vercel; the company has raised $38.5M from Coatue and Canaan and is building its marketing function.
What you will do
Own automated lifecycle programs for onboarding, activation, product updates, upgrades, re-engagement, referrals, and growth loops across self-serve, API, MCP, and event users.
Own paid acquisition across LinkedIn, search, retargeting, and additional channels, including targeting, creative testing, budget pacing, cost per pipeline, and external partners.
Manage GTM systems including lead routing, booking, enrichment, visitor identification, UTMs, conversion tracking, dashboards, Salesforce campaign architecture, funnel definitions, and attribution through closed-won.
Prototype and ship internal GTM tools using hirify.global data and API, while documenting, automating, or retiring tools based on results.
Own website growth surfaces, information architecture, conversion paths, signup and demo flows, pricing and landing-page experiments, and direct page changes.
Run weekly experiments with defined hypotheses, metrics, sample sizes, and kill dates; maintain the experiment log and report actionable funnel results.
Requirements
5+ years in growth marketing, growth engineering, or a technical demand role at a B2B SaaS, data, or developer-tools company, ideally with both self-serve and sales-led motions.
Engineering-fluent and comfortable working with product, engineering, and development teams.
Practical AI-native experience building with LLMs and agents, including Claude, Cursor, Claude Code, MCP, or similar, with workflows or tools shipped and still used.
Highly experimental, with examples of tests designed, learnings, scaled initiatives, and killed initiatives.
Experience owning paid media with a real budget and measuring cost per pipeline rather than only CPC.
Experience building lifecycle or growth-loop systems and working with CRM data models, Salesforce or HubSpot, routing, and attribution.
Ability to make data-driven decisions and explain them clearly to founders, Sales, and non-technical colleagues.
Super IC operating style with ruthless prioritization and independent execution.
Nice to have
Experience selling to technical GTM buyers such as RevOps, GTM engineers, sales operations, or marketing operations.
Hands-on experience with Clay, product analytics, and experimentation platforms.
Experience growing API or usage-based products or developer adoption of a technical product.
Production front-end experience with landing pages, signup flows, or CMS builds.
Public work such as repositories, posts, or experiment teardowns.
Culture & Benefits
AI is part of everyday work, with experimentation and knowledge sharing encouraged.
Small team with broad ownership, direct communication, and an emphasis on shipping prototypes.
Transparent data practices and a focus on using hirify.global internally.
Top-tier US medical, dental, and vision insurance, plus a US 401(k).
Four weeks of paid time off, equity in a Series A company, and generous AI token usage.
Hiring process
The hiring process includes a practical project.
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