G2 Risk Solutions Logo

G2 Risk Solutions

Senior Product Manager

Posted 3 Days Ago
Remote
Hiring Remotely in East Coast, USA
Senior level
Remote
Hiring Remotely in East Coast, USA
Senior level
Own the roadmap, modernization, strategy, and growth of merchant onboarding and monitoring products for financial institutions and payment providers. Lead customer transitions, define requirements, prioritize backlogs, collaborate with Engineering and Data Science, evaluate product performance, and support go-to-market readiness. The role requires strong technical fluency in SQL, APIs, data models, AI-enabled solutions, and business-case development, along with customer engagement and cross-functional leadership.
The summary above was generated by AI
Description

Location: Remote (US, Eastern Time Zone)

The Senior Product Manager for G2 Risk Solutions (G2RS) Merchant Risk Solutions (MRS) will own a portfolio of established merchant onboarding and monitoring products used by financial institutions and payment providers worldwide. This role will initially lead the modernization of key underlying platform capabilities and expand to owning product strategy and growth for innovative solutions on our next-generation platform.

G2RS is here to keep e-commerce and merchant portfolios safe from illicit products and services. We work with the world’s leading fintech players and global marketplaces to unlock new business opportunities by highlighting the legitimate activity on their platforms and ensuring a swift and effective removal of bad actors. We build AI-powered solutions that transform complex data into actionable insights, enabling customers to manage risk, spot emerging trends, and respond quickly through a single unified experience.

Our product team consists of passionate people working together, inspiring each other, and empowering everyone around them to succeed and grow. As a key product leader, you will collaborate closely with Engineering, Data Science, Customer Success, Sales, and Operations teams around the world to translate business requirements into actionable features and experiences. You will work with clients and internal stakeholders to collect insights, validate proposed solutions, and maintain the market-leading standards of MRS products in risk detection, monitoring, and management.

This role requires a proactive, strategic thinker who is comfortable owning complex, interconnected products end-to-end and navigating shared ownership with other product managers. You will dive deep into data models and integrations, apply strong analytical skills to evaluate performance and build business cases, and keep initiatives aligned across cross-functional teams.

Position may require travel 2-3 times per year.

Key Responsibilities

  • Own the roadmap and prioritization for a portfolio of merchant onboarding and monitoring products, balancing product stability, client commitments, and long-term platform direction.
  • Drive modernization of core platform capabilities, building business cases that balance cost, quality, and scalability.
  • Lead customer transition strategy as products evolve onto new capabilities, in collaboration with Customer Success, Sales, Marketing, and Engineering.
  • Own product strategy and growth for the portfolio, using market, competitive, and customer research to identify opportunities and shape the roadmap.
  • Apply AI-first thinking both in product development and daily workflows, incorporating responsible AI capabilities into the roadmap while using AI tools to accelerate research, requirements development, customer insights synthesis, and execution.
  • Engage directly with key customers to understand use cases, gather feedback, validate hypotheses, and ensure product-market fit.
  • Define and prioritize features, writing clear requirements, user stories, and acceptance criteria for Engineering and Data Science partners, and manage backlogs and delivery progress in Jira.
  • Collaborate cross-functionally to guide development, ensure delivery milestones are met, and remove roadblocks throughout the product lifecycle.
  • Monitor product performance and customer outcomes using analytical methods, and champion a data-driven approach to prioritization and product decisions.
  • Partner with Sales, Customer Success, and Operations to support go-to-market efforts and ensure product launch readiness.
Requirements

Qualifications

  • 5+ years of product management experience, ideally in data, AI/ML, and/or fintech.
  • Experience leading platform modernization or customer transition programs.
  • Demonstrated success managing complex, data-driven or analytical products, from concept through launch and iteration.
  • Strong technical fluency, including working SQL skills, experience with customer-facing APIs, and the ability to dive into a data model and understand it in detail.
  • Experience building business cases, including vendor evaluation, unit economics, and build-versus-buy decisions.
  • Fintech, payments, KYB/KYC, and/or e-commerce risk and compliance experience is preferred.
  • Demonstrated ability to leverage AI tools in day-to-day product work (e.g., Copilot, generative AI assistants) and experience collaborating with Data Science to translate business problems into practical, ethical AI-enabled product solutions.
  • Proven ability to translate customer needs and business objectives into clear product requirements and actionable development plans.
  • Excellent collaboration skills and experience working with Engineering, Data Science, Operations, and GTM teams, including teams distributed across time zones.
  • Comfort with evolving scope and shared ownership across multiple product teams.
  • Strong analytical skills for modeling, KPI analysis, and trend evaluation.
  • Exceptional communication skills, with the ability to present complex concepts to both technical and non-technical audiences.
  • Comfortable engaging with customers and external stakeholders to gather insights, validate assumptions, and build strong relationships.
  • Bachelor’s degree in business, analytics, computer science, or a related field (MBA or advanced degree a plus).

Similar Jobs

Yesterday
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Own the strategy, roadmap, discovery, delivery, launch, and performance of an enterprise chargemaster revenue integrity product. Translate hospital customer needs into requirements, prioritize capabilities, collaborate with engineering and cross-functional teams, drive modernization and responsible AI initiatives, develop business cases and pricing recommendations, and lead go-to-market readiness. Monitor adoption, customer outcomes, revenue impact, and competitive performance while serving as a chargemaster and healthcare revenue integrity subject matter expert.
Top Skills: Agile Product DevelopmentAnalyticsAPIsArtificial IntelligenceAutomationEhrSaaS
Yesterday
In-Office or Remote
160K-273K Annually
Senior level
160K-273K Annually
Senior level
Fintech • Real Estate • PropTech
Own the strategy and roadmap for Redfin’s inventory supply, quality, freshness, and buyer engagement experiences. Identify opportunities across listing sources, data partnerships, ingestion, AI enrichment, and presentation. Prototype AI-enabled concepts, analyze data with SQL, run experiments, define metrics, and partner with engineering, design, data science, brokerage operations, and leadership to deliver marketplace improvements.
Top Skills: ClaudeClaude CodeCursorLlmsSQL
2 Days Ago
Remote or Hybrid
183K-250K Annually
Senior level
183K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Own the agentic analytics platform for Capital One Shopping’s AI Enablement team. Partner with engineers to build trusted AI products, govern enterprise data and metrics, define agent boundaries, validate system performance, prioritize stakeholder needs, and improve deployment efficiency. The role requires strong product leadership, data platform expertise, SQL proficiency, familiarity with modern data tools and AI agents, executive communication, and experience operating internal platforms or production deployments.
Top Skills: Ai AgentsAi Evaluation ToolsClaude CodeCodexCursorData CatalogsDatabricksDbtLookerLookmlMetrics LayersModeOntologiesPalantir FoundryPythonRSemantic LayersSnowflakeSQLText-To-Sql

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account