Polygon Labs

Technical Program Manager

• Driving end-to-end program execution for Open Money Stack projects, ensuring delivery against agreed timelines, scope, and quality expectations
• Planning and managing complex technical programs involving fintech and payment processing systems, infrastructure engineering, and third-party integrations
• Coordinating dependencies and execution across multiple engineering teams, reducing delivery risk, and minimizing escalations
• Partnering with internal engineering, product, and infrastructure stakeholders to align technical execution with strategic objectives
• Supporting integration efforts with external infrastructure and fintech service providers, ensuring clear communication, sequencing, and accountability
• Establishing and maintaining program plans, milestones, and reporting using existing TPM frameworks, tools, and methodologies
• Identifying risks early and driving mitigation strategies to maintain delivery predictability across initiatives
• Supporting successful launches by ensuring operational readiness, cross-team alignment, and clear ownership throughout execution

Engineering Manager

• Lead the buildout of a modern payments application from the ground up, working closely with the Head of Payments Engineering.
• Manage and mentor engineers and DevOps teams focused on delivering scalable and reliable payment capabilities.
• Collaborate cross-functionally with Product, Compliance, and Infrastructure teams to define and deliver enterprise-grade payment solutions.
• Drive architecture and development across both fiat and blockchain-based payment systems.
• Instill a strong engineering culture focused on automation, ownership, security, and operational excellence.
• Stay ahead of the curve on blockchain innovation in the payments space and integrate emerging standards into the product roadmap.

Senior Engineering Manager, Payments

Blockchain Engineer

• Lead design and prototyping of long-term solutions to address scalability, latency, and state growth challenges on the Polygon PoS network.
• Drive architectural decisions across the PoS codebase, contributing to Geth, Cosmos SDK, or CometBFT-based systems as needed.
• Identify and resolve deep technical issues in protocol behavior, consensus, and state sync.
• Champion code quality, documentation, testing, and developer best practices across the team.
• Mentor and support engineers across the stack to elevate the overall engineering bar.
• Collaborate cross-functionally with protocol researchers, DevOps, security, and ecosystem teams to ship robust upgrades to the live network.

Staff Protocol Engineer

AI Engineer

• Design and implement agentic workflows for requirements clarification, planning, PR generation, and refinement, with human-in-the-loop and safety gates by default.
• Develop internal tools across IDEs, GitHub, Slack, and web apps to accelerate the SDLC and create consistent “golden paths.”
• Build and maintain integrations with internal systems (CI, docs, metrics, task trackers) to enable context-rich agent behavior.
• Automate high-leverage workflows like refactors, scaffolding, test generation, and documentation updates with LLM and AST-based tools.
• Lead discovery and roadmap definition through engineer interviews, telemetry, and measurable outcome setting.
• Drive adoption via enablement programs—playbooks, office hours, prompts—and ensure agentic workflows become default.
• Maintain operational excellence: tool monitoring, versioning, support, and deprecation processes.

Staff AI Developer – Productivity Engineer

Executive Assistant

• Manage day-to-day scheduling and group meeting coordination across time zones and stakeholders.
• Own inbox/calendar follow-ups, meeting confirmations, and logistical coordination.
• Triage and escalate scheduling requests that meet the complexity threshold (e.g., sensitive, high-stakes, or multi-party coordination).
• Adhere to SLAs and intake processes using ClickUp; ensure every request is complete and properly documented.
• Enforce existing/corporate calendar hygiene best practices and utilize tools like templates and scheduling rules to reduce churn.
• Partner with the Lead EA on onboarding, training, and continuous improvement of executive operations.

Virtual Assistant

Solutions Engineer

• Support BD in late-stage deals and technical evaluations
• Lead technical discovery with customers, focusing on complex legacy payments, fund flows, and compliance
• Align customer business models (tradfi, fintech, platforms, embedded finance, global payments) with scalable payment architectures
• Translate customer business and system requirements into implementation plans
• Design and explain integrations for:
• Wallets
• Payments APIs
• KYC/KYB, onboarding, risk, and compliance
• Widgets, SDKs, hosted components, and embedded payment experiences
• Develop reference architectures, integration diagrams, payment flow documentation, and technical walkthroughs
• Serve as the technical authority in customer discussions when needed
• Demonstrate expertise in payment authorization rates, conversion optimization, and transaction success metrics
• Identify gaps between current product capabilities and customer needs
• Clearly separate what exists, what’s on the roadmap (and can be accelerated), and what requires custom or speculative development
• Clarify ambiguous customer requests into clear, marketable technical scopes
• Negotiate tradeoffs with customers to close deals when requirements don’t fully align
• Collaborate with Sales to resolve payment integration risks early and unblock deals
• Work with Product and Engineering to guide roadmap decisions based on customer demand
• Influence pricing, limits, and launch phases based on technical constraints
• Build lightweight prototypes, middleware, or example implementations where helpful
• “Vibe code” small systems or applets to rapidly prototype and unblock integrations or demonstrate feasibility
• Read and reason about customer codebases, API specs, and architecture diagrams
• Help customers understand how to integrate with modern systems when their internal infrastructure is outdated or rigid
• Anticipate scale, failure modes, and operational complexity in production payments systems
• Support initial customer implementations and early production issues
• Act as a technical escalation point when integrations hit complexity
• Help define what scalable post-sales support should look like over time

Technical Program Manager

Senior Engineering Manager, Payments

Staff Protocol Engineer

Staff AI Developer – Productivity Engineer

Virtual Assistant

Lead Solutions Engineer