10 days ago

AI Product Manager

Sardine

Hybrid
Full Time
$175,000
Hybrid

Job Overview

Job TitleAI Product Manager
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$175,000
LocationHybrid

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Job Description

Who We Are

Sardine is a leader in fraud prevention and AML compliance, utilizing device intelligence, behavior biometrics, machine learning, and AI to proactively stop fraud. Over 300 banks, retailers, and fintechs globally trust Sardine to combat identity fraud, payment fraud, account takeovers, and social engineering scams. The company has successfully raised $145M from prominent investors including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

Our Culture

Sardine operates with a remote-first work culture, allowing employees to #WorkFromAnywhere, with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. They seek talented, self-motivated individuals with extreme ownership and a high growth orientation, valuing performance over hours worked. The company fosters a flexible environment, ensuring employees can prioritize personal and family commitments.

Location

This role is Remote - US / Canada, offering the flexibility to work from home, the beach, a mountain, a cafe, or anywhere productive. Sardine is a globally distributed, remote-first company.

About The Role

Sardine is seeking an AI Product Manager to spearhead the definition, rollout, and evolution of its AI-powered product experiences. This position bridges machine learning, product strategy, and user experience, focusing on translating advanced AI capabilities into practical, customer-facing solutions.

What You'll Be Doing

  • Defining and launching the next generation of GenAI features and client-facing agents.
  • Responsible for building agents customized for specific clients.
  • Collaborating across Data Science, Engineering, and Sales teams, particularly aiding in the RFP process and Model Governance.
  • Responsible for feature engineering to detect sophisticated fraud vectors such as synthetic identities, account takeover, and bot attacks.
  • Own the ML Platform used to detect sophisticated financial crime vectors (synthetic identity, account takeover, bot attacks).

What You'll Bring

  • Strong technical foundation, with 3+ years of experience as a Data Scientist or ML Engineer.
  • 5+ years of experience as a Product Manager.
  • Proven experience building or shipping AI products, especially where ML or GenAI capabilities were embedded into real user workflows.
  • Ability to work fluently with ML and data teams on concepts like models, experimentation, metrics, and trade-offs.

Nice To Haves

  • Experience in the Fraud, Risk, AML, or Compliance domain, particularly in FinTech or financial services.
  • Understanding of metrics and performance tracking related to platform performance, reliability, and developer experience, including uptime, latency, and throughput.

Benefits We Offer

  • Generous compensation package including cash and equity with early exercise for all options.
  • Remote-first culture with flexible paid time off and a year-end break.
  • Comprehensive health, dental, and vision coverage for employees and dependents (US and Canada).
  • 4% matching in 401k / RRSP (US and Canada).
  • MacBook Pro provided and a one-time stipend for home office setup (desk, chair, screen, etc.).
  • Monthly meal, social meet-up, health & wellness, and learning stipends.

Key skills/competency

  • AI Product Management
  • Machine Learning
  • Generative AI (GenAI)
  • Fraud Prevention
  • Data Science
  • Product Strategy
  • Feature Engineering
  • ML Platform Ownership
  • AML Compliance
  • FinTech

Tags:

AI Product Manager
Machine Learning
Generative AI
Fraud Prevention
Data Science
Product Strategy
Feature Engineering
ML Platform
AML Compliance
Risk Management
Python
TensorFlow
PyTorch
AWS
Azure
GCP
SQL
Big Data
Kubernetes
APIs

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How to Get Hired at Sardine

  • Research Sardine's mission: Study their fraud prevention impact, AI applications, and recent funding success.
  • Customize your resume: Highlight AI product leadership, ML/GenAI experience, and FinTech domain knowledge.
  • Showcase technical depth: Prepare to discuss model concepts, experimentation, and data team collaboration.
  • Demonstrate problem-solving: Be ready to present how you've translated complex AI into user outcomes.
  • Highlight remote collaboration skills: Emphasize effective communication and self-motivation in distributed teams.

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