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Senior Product Manager
MLabs. Define, prioritize, and execute the product roadmap for enterprise-focused capabilities, including privacy models, partner integrations, and flexible deployment models ranging from managed services to institution-operated environments.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for enterprise-focused capabilities, with a strong technical foundation in software development and cloud infrastructure. Proficient in engaging with financial institutions and utilizing AI tools for rapid prototyping and customer discovery.
Highest-signal resume keywords
Product ManagementEnterprise TokenizationFinancial Services ExpertiseAI-Assisted PrototypingTechnical Evaluations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentDevOpsCloud InfrastructurePrototyping FrameworksTrade LifecyclesPost-Trade WorkflowsSettlement ProcessesDigital AssetsBlockchain InfrastructureEVM-Compatible Networks
Soft Skills
Cross-Team AlignmentCustomer DiscoveryIndependent Problem SolvingCredible Engagement
Tools & Technologies
AI ToolsModular Tokenization FrameworksSmart Contract FrameworksToken ServicesConsensus Services
Industry Keywords
Financial InstitutionsAsset ManagersPayment NetworksFund AdministrationTransaction Privacy Models
Tech Stack
Tools & technologiesCloudWeb3
About the role
Key responsibilities & impact- Define, prioritize, and execute the product roadmap for enterprise-focused capabilities, including privacy models, partner integrations, and flexible deployment models ranging from managed services to institution-operated environments.
- Drive cross-team alignment with strategic development partners and modular platform providers to integrate customer discovery learnings into a cohesive, institutional-grade product suite.
- Partner directly with go-to-market teams during high-value sales cycles with Tier-1 financial services institutions, providing deep product expertise during technical evaluations, InfoSec reviews, RFPs, and pilot-to-production transitions.
- Conduct structured customer discovery with institutional stakeholders and utilize AI-assisted tools to build early-stage prototypes, specifications, and testable artifacts to accelerate feedback loops ahead of full engineering cycles.
- Track and analyze developments across capital markets technology, enterprise tokenization, and private/public blockchain ecosystems to inform product positioning and long-term roadmap decisions.
- Codify successful deployment motions into repeatable product narratives, demonstrations, and proof-of-concept frameworks for priority financial services use cases.
Requirements
What you’ll need- 5+ years of dedicated experience as a Product Manager, backed by a strong technical foundation in software development, DevOps, cloud infrastructure, or enterprise platforms.
- Substantive expertise within traditional financial institutions (banks, asset managers, custodians, payment networks, or fund operators), including a thorough operational understanding of trade lifecycles, post-trade workflows, settlement processes, and fund administration.
- Proven history of owning and shipping complex software products for enterprise customers, with direct experience supporting enterprise sales cycles, InfoSec reviews, technical evaluations, and RFPs.
- Demonstrated ability to independently turn discovery into specifications, wireframes/prototypes, and shipped features without requiring step-by-step guidance.
- Comfort using modern AI tools and prototyping frameworks to translate customer insights into testable assets rapidly.
- Ability to engage credibly and independently in high-level technical and operational discussions with CTOs, Heads of Operations, and enterprise architects.
- Background or experience with enterprise tokenization platforms, digital assets, or private blockchain infrastructure.
- Familiarity with transaction privacy models, confidential computing, or selective disclosure mechanisms.
- Understanding of modular tokenization frameworks across issuance, lifecycle management, trading, and settlement layers.
- Experience with EVM-compatible networks or enterprise web3 platform services (e.g., token services, consensus services, smart contract frameworks, stablecoin/asset tokenization studios).
Benefits
Comp & perks- Competitive base salary accompanied by performance-based bonus and equity components.
- Flexible remote work setup within the United States.
- Comprehensive health, retirement, and wellness benefits program.
- Opportunities for career advancement within a rapidly expanding global technology organization.