Full-Time

Head of Talent Acquisition

LTV

LTV

11-50 employees

AI-driven e-commerce post-purchase marketing

No salary listed

United States

In Person

Category
People & HR (1)
Required Skills
Data Analysis
Requirements
  • 5+ years of full-cycle recruiting experience, with meaningful time spent at high-growth startups (Seed through Series B/C)
  • Proven track record hiring across functions — you've successfully closed senior engineers, go-to-market leaders, and customer success hires, not just one swim lane
  • Founding-recruiter mentality — you've built (or are itching to build) a talent function from scratch and don't need an existing playbook to be effective
  • Exceptional sourcing chops — you can find and engage passive talent without leaning on agencies or inbound applicants
  • Strong closer — you understand candidate psychology, navigate competing offers, and consistently land top-of-market hires
  • AI-first operator — your default instinct is to use AI to streamline sourcing, outreach, screening, and ops; you actively experiment with new tools and workflows
  • High judgment on talent — you have a sharp internal bar and can calibrate it quickly to a hiring manager's needs
  • Comfortable operating with ambiguity, shifting priorities, and direct founder feedback
  • Bias toward speed without compromising on quality — you ship hires the way our engineers ship code
Responsibilities
  • Own end-to-end hiring across the entire company — engineering, product, sales, customer success, growth, operations, and leadership roles
  • Build the talent function from the ground up: ATS setup, sourcing infrastructure, interview rubrics, scorecards, calibration processes, and reporting
  • Run full-cycle recruiting yourself — sourcing, outreach, screening, coordinating, closing — until volume justifies hiring beneath you
  • Partner directly with the founder and hiring managers to define role profiles, calibrate the bar, and move quickly without sacrificing quality
  • Build a sourcing engine that doesn't rely on inbound — proactive outbound, referrals, communities, and creative channels
  • Own the candidate experience end-to-end, from first touch to offer accept, in a way that reflects how we operate as a company
  • Develop and refine our employer brand and hiring narrative as we scale
  • Use AI aggressively across the recruiting workflow — sourcing, screening, outreach personalization, scheduling, and pipeline analytics
  • Bring data and rigor to hiring: pipeline health, conversion rates, time-to-hire, source-of-hire, and quality-of-hire benchmarks
  • Lay the foundation for a future talent team — the systems, processes, and standards that will let us hire 10x from here
Desired Qualifications
  • 5+ years of full-cycle recruiting experience with meaningful time at high-growth startups (Seed through Series B/C)
  • Proven track record hiring across functions — closed senior engineers, GTM leaders, and CS hires
  • Founding-recruiter mentality — built or eager to build a talent function from scratch and doesn’t need existing playbook
  • Exceptional sourcing chops — can find and engage passive talent without leaning on agencies or inbound applicants
  • Strong closer — understands candidate psychology, navigates competing offers, and lands top-of-market hires
  • AI-first operator — default to using AI to streamline sourcing, outreach, screening, and operations; experiments with new tools and workflows
  • High judgment on talent — sharp internal bar and quick calibration to hiring manager needs
  • Comfortable operating with ambiguity, shifting priorities, and direct founder feedback
  • Bias toward speed without compromising on quality — ships hires like engineers ship code

LTV.ai is an AI-driven marketing platform for ecommerce that delivers personalized, conversational email and SMS campaigns, with a focus on post-purchase optimization to boost customer lifetime value. The platform connects with ecommerce systems like Shopify and BigCommerce to analyze customer data such as purchase history, location, and browsing behavior, and then generates hyper-personalized, two-way messages that can upsell, improve product recommendations, and manage loyalty programs. It emphasizes one-to-one, adaptive conversations and proactive AI-driven segmentation to identify high-value customers and churn risk. LTV.ai operates on a revenue-share model, aligning fees with the incremental revenue it helps clients generate. Its goal is to help ecommerce brands increase CLTV by delivering more effective post-purchase engagement and loyalty, a strategy backed by a Series A round of $5.2 million to expand engineering, infrastructure, and market reach.

Company Size

11-50

Company Stage

Series A

Total Funding

$5.2M

Headquarters

Houston, Texas

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • Post-purchase SMS boosts retention for Fabletics, Sur La Table beyond email.
  • $5.2M Series A in March 2025 funds engineering expansion and market reach.
  • Zero-party data collection builds profiles amid tightening privacy regulations.

What critics are saying

  • Klaviyo acquires Replo in Q1 2026, bundles flows, poaches Fabletics, Backcountry.
  • EU AI Act enforcement July 2026 mandates disclosures, triggers Fabletics exodus.
  • Shopify bans third-party AI email apps June 2026 after LTV.ai spam complaints.

What makes LTV unique

  • Pivoted from ShopToken blockchain to AI conversational email/SMS in February 2024.
  • Uses multi-LLM stack including Perplexity, Anthropic, OpenAI, Google for flexibility.
  • Revenue-share model ties fees directly to incremental client revenue generated.

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Company News

Business Insider
Mar 15th, 2025
LTV.ai raises $5.2M Series A

LTV.ai, an AI marketing startup, raised a $5.2 million Series A led by Bling Capital, Protagonist, and CSC Generation CEO Justin Yoshimura. The company, originally known as ShopToken, pivoted in February 2024 to focus on AI-driven personalized marketing messages. LTV.ai uses large language models from Perplexity, Anthropic, OpenAI, and Google. The funding will be used to hire engineers, enhance infrastructure, and host e-commerce events.