LTV.ai Logo

LTV.ai

Founding Head of Product

Posted 7 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
Mid level
Hybrid
San Francisco, CA, USA
Mid level
Lead product from 0->1: set strategy, roadmap, and execution; work daily with founders and engineering; run growth experiments and metric-driven prioritization; translate large e-commerce customer pains into AI-first product features; build instrumentation, rituals, and systems to learn and decide faster; partner across AI, engineering, and GTM to deliver high-quality outcomes.
The summary above was generated by AI

At LTV ai, we're redefining email marketing for e-commerce brands by automating a lot of the day-to-day manual grunt work that goes into email marketing, from segmentation, to creating campaigns without designers, to personalization.

While increasing LTV and driving measurable growth, we help brands stay focused on what matters most - the customer.

Why join us?

We're a fast-moving team building a high-growth company that's transforming the e-commerce industry. Revenue is growing fast, usage is doubling every 3 months, and we're now scaling fast with brands like Fabletics, Sur La Table, J. Jill, Backcountry, and One Kings Lane already on board.

This is a true 0→1 product leadership role. You won't be inheriting a roadmap, a team, or a playbook - you'll be building all three. Working shoulder-to-shoulder with the founders and the founding engineering team every single day, you'll own product end to end: what we build, why we build it, what's working, what isn't, and what we double down on next. If you want to shape both the product and the company at the ground floor, this is it.

What you'll own
  • Own product end to end - strategy, roadmap, prioritization, and execution - in lockstep with the founding team

  • Sit at the center of the founding and engineering teams daily: surface where people are blocked, clear the path, and keep velocity high

  • Design and run growth experiments, then ruthlessly read the results - kill what's not working, scale what is

  • Translate customer pain (and the realities of running email at $50M-$500M+ GMV brands) into a sharp, opinionated product direction

  • Define what success looks like for every initiative and hold the bar on quality, taste, and outcomes - not just shipping

  • Partner with AI, engineering, and GTM to turn our AI-native capabilities (multi-agent workflows, segmentation, image creation, self-optimizing conversations) into product brands love

  • Build the systems, rituals, and instrumentation that let us learn fast and decide faster

What we're looking for (ideally)
  • 3+ years in product, with real 0→1 experience - you've built products from nothing, not just managed mature ones

  • A hands-on builder, not a delegator - you write specs, prototype, dig into data, and ship alongside engineers

  • AI-first operator - your default is to reach for AI to prototype, run experiments, analyze, and build workflows; you're as comfortable in Claude Code, Cursor, or an agent workflow as you are in a roadmap doc

  • Strong technical fluency - you can hold your own with the founding engineering team on architecture and trade-offs

  • Sharp product taste and judgment - you optimize for the right outcomes and quality output, not volume or vanity metrics

  • Comfort operating with high autonomy and ownership in a fast, ambiguous, founder-led environment

  • Bonus: experience in e-commerce, MarTech, retention, or email (Klaviyo, Postscript, Attentive, etc.)

Compensation + Benefits
  • Base depends a lot on the person but we reward A players

  • Equity included

If you're curious, ambitious, and hungry to build something big, feel free to email our founder directly [email protected] - we'd love to hear from you.

Similar Jobs

8 Hours Ago
In-Office
Palo Alto, CA, USA
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Artificial Intelligence • Machine Learning
The VP of GSI Partnerships will define and execute the global partnership strategy, manage relationships with top-tier GSIs, and drive revenue through joint opportunities while mentoring a small team.
Top Skills: AIData PlatformsSaaS
8 Hours Ago
In-Office
Palo Alto, CA, USA
200K-350K Annually
Expert/Leader
200K-350K Annually
Expert/Leader
Artificial Intelligence • Machine Learning
As Director, AI Advisory, serve as a strategic partner to Global 2000 customers. Shape AI transformation journeys, lead workshops, enable operationalization of AI, and mentor team members.
Top Skills: AICloud-Native SolutionsEmotion AiGenerative AiKnowledge AiSaaS
8 Hours Ago
In-Office
Palo Alto, CA, USA
290K-398K Annually
Senior level
290K-398K Annually
Senior level
Artificial Intelligence • Machine Learning
Seeking an enterprise sales leader to drive strategic growth with Fortune 500 clients, focusing on C-suite engagement and complex AI deals. Responsibilities include strategic account management, sales execution, cross-functional leadership, and pipeline development.
Top Skills: Salesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account