Product Lead, Agentic Personalization

Recruiting From Scratch (RFS Group)

Product Lead, Agentic Personalization Full time

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San Francisco, CA | New York, New York | Hybrid

4 - 10 Years of Experience

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Title of Role: Product Lead, Agentic Personalization

Location: San Francisco, CA (Downtown) / New York, NY (Chelsea) Company Stage of Funding: Series C (~$90M+ raised, ~$1.2B valuation) Office Type: Hybrid (2–4 days/week in office) Salary: $240,000 – $320,000 + Competitive Equity

Company Description

Our client is a category-defining data and AI platform enabling companies to activate their customer data for personalized experiences at scale. Backed by top-tier investors, the company has grown from early traction to over $100M in ARR and continues to scale rapidly.

They pioneered the Composable Customer Data Platform (CDP), allowing companies to leverage their own data warehouses for marketing and operational use cases. Today, they are pushing the frontier further with an AI Decisioning platform—where agents autonomously power advertising, lifecycle marketing, and real-time personalization.

Their newest and most ambitious bet, Agentic Personalization, focuses on transforming how users experience products by enabling AI agents to run real-time experiments and deliver highly tailored interactions across web and mobile platforms.

What You Will Do

• Own product strategy and execution for Agentic Personalization, one of the company’s highest-priority product bets
• Define product vision, roadmap, and sequencing from 0→1 to scale
• Conduct deep customer discovery with product and growth teams at enterprise companies
• Translate customer needs into product requirements, agent behaviors, and system design
• Define how AI agents operate autonomously vs. where human control is required
• Design experimentation frameworks for real-time personalization and optimization
• Partner closely with engineering, design, sales, and customer success teams
• Contribute to go-to-market strategy, including customer calls and positioning
• Drive adoption, revenue impact, and product-market fit for a net-new product line

Ideal Candidate Background

• 4+ years of product management experience in fast-paced startup environments
• Proven track record of building and launching 0→1 products
• Strong technical background (former engineer, solutions engineer, or highly technical PM)
• Experience working on complex, technical products (AI/ML, data platforms, APIs, or developer tools)
• Demonstrated ability to define product strategy in ambiguous environments
• Strong communication skills and ability to work cross-functionally
• High ownership, speed, and execution mindset

Preferred

• Experience building AI/ML or personalization/recommendation systems
• Background in data platforms, developer tools, or marketing technology
• Experience at high-growth Series A–D startups
• Strong commercial instincts (understanding pipeline, conversion, and revenue impact)
• Technical degree from a top-tier university
• Prior founder or early-stage startup experience

Compensation and Benefits

• Competitive base salary: $240,000 – $320,000
• Highly competitive equity package
• Visa sponsorship available
• Hybrid work flexibility in SF or NYC
• Opportunity to work directly with founders and executive leadership
• High-impact role shaping a core product pillar
• Fast-growing company with strong market traction and enterprise adoption

Why Join

This is a rare opportunity to define and build a net-new product category at the intersection of AI, data, and personalization. You’ll own a critical product pillar from the ground up, working on cutting-edge agentic systems that operate in real-time at enterprise scale.

If you’re a highly technical, zero-to-one product leader who thrives in ambiguity and wants to shape the future of AI-driven customer experiences, this role offers exceptional scope, ownership, and impact.

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