Senior Product Manager

Menlo Ventures; New York (NY); Remote; USD 150,000 - 190,000; Full time

Job summary

A leading company seeks a Senior Product Manager to own the lifecycle of its Account Integrity suite. This role involves collaborating with various teams to enhance product offerings, drawing on insights from data and customer feedback. Ideal candidates will possess expertise in AI/ML and navigate the complexities of account security solutions.

Benefits

Discretionary Time Off Policy (Unlimited!)

401K Match

Stock Options

Annual Performance Bonus

Paid Parental Leave (12 weeks)

On-Demand Therapy for employees & dependents

Dedicated learning budget through Learnerbly

Health Insurance

Life Insurance

Company Social Events

Qualifications

• Experience shipping AI- or ML-based products in account security.
• Ability to work cross-functionally and navigate ambiguity.
• Strong written and verbal communication skills.

Responsibilities

• Own the end-to-end lifecycle of Account Integrity products.
• Collaborate with Engineering and Data Science on ML models.
• Gather feedback from partners to refine product roadmap.

Skills

AI/ML-based decisioning

Cross-functional collaboration

Communication skills

Account security experience

Job description

About Signifyd

At Signifyd, we empower businesses to thrive in the digital commerce era by eliminating fraud and powering seamless purchase experiences. Our mission is to build trust at every step of the customer journey — from account login through checkout and returns.

A critical part of that mission is protecting the account surface itself: preventing bots and bad actors from exploiting account creation, login, and modification flows. Our Account Integrity suite addresses these threats through advanced device and identity intelligence, bot detection, and real-time decisioning.

Role Overview

We’re looking for a Senior Product Manager to own and scale our Account Integrity suite of products including device intelligence, identity risk signals, anomaly detection, and session integrity for high-risk events like login and account modification

This is a deeply 0-to-1 role. You’ll work directly with our customers, iterate quickly, shape product-market fit, and collaborate tightly with data scientists, GTM teams, and engineers. The right candidate is comfortable owning ambiguity, moving fast, and staying close to partners and customers.

Key Responsibilities

• Own the end-to-end lifecycle of various Account Integrity products — from vision to launch to scale — starting with device/identity intelligence for login and account related flows.
• Partner with Engineering and Data Science to shape and iterate on ML models that power decisioning for identity and session risk detection.
• Work closely with early design partners to refine user experience and ensure product impact.
• Collaborate with Customer Success, Sales, and Product Marketing to support deployments, craft narratives, and drive adoption.
• Gather qualitative and quantitative feedback from merchants and partners to continuously refine roadmap priorities.
• Maintain a strong pulse on evolving attack vectors, fraud trends, and identity/authentication innovations.
• Operate with urgency and autonomy, making decisions that accelerate value delivery.
• Expected 15% travel

Required Skills and Qualifications

• Experience shipping AI- or ML-based decisioning products in the account security space, especially those where model outputs are core to product value.
• Experience working with security, fraud, or identity challenges in e-commerce or financial services.
• Ability to work cross-functionally with Data Science, Engineering, and GTM teams.
• Comfort navigating ambiguity, making fast iterations, and working closely with customers.
• Strong written and verbal communication skills — able to influence across technical and non-technical teams.
• Deep sense of ownership, grit, and bias for action.

Desirable Attributes

• Experience in the fraud, identity, or authentication space, especially in bot detection or session integrity.
• Experience building products that infer user identity and intent by aggregating signals from merchant integrations, device and session data, and external enrichment APIs.
• Familiarity with the e-commerce ecosystem (especially mid- to enterprise-scale merchants).
• Experience launching products with early design partners or in pilot/PPOV environments.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range

$150,000—$190,000 USD

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