• Build customer-facing features across the stack, from the account experience down to the money movement underneath it • Work shoulder to shoulder with design on flows where clarity and trust are the product, not decoration • Ship payments, FX, yield, and treasury features on rails that settle 24/7 • Integrate with onchain infrastructure and a wide network of PSPs • Own performance, correctness, and the edge cases that matter more when real money is moving • Help shape what gets built, not just how it gets built, and push back when something does not feel right

• Automate the vault pipeline: Drastically reduce the time from item received to live on platform — building intake automation, scan orchestration, and quality-control tooling. • Expand beyond cards: Design and build ingestion, grading, and pricing workflows for non-card asset classes (watches, art, sealed wax) so Alt Values appear the moment items are vaulted. • Build Vault-as-a-Service: Architect the account infrastructure, billing, and APIs that let enterprise partners programmatically vault, ship, and manage assets at scale. • Ship the digitization stack: Optimize card imaging, lighting pipelines, and help turn static front/back photos into 360-degree views for digital repackers. • Own the full stack: Take features from technical design through polished UI — Vault touches real-world operations, and the product surfaces need to be as sharp as the backend. • Be a multiplier: Level up the growing Vault team through code reviews, technical documentation, and mentorship.

• Implement and iterate on Myko to automate high-volume sales workflows including follow-up sequences, deal stage updates, task creation, and Slack/CRM notifications • Audit the current sales process to identify the highest-value automation opportunities and build a prioritized roadmap • Build integrations between prospecting agents and adjacent tools (quoting, pricing, case creation) to create seamless, no-touch workflows • Lead evaluation, implementation, and ongoing optimization of call intelligence tools as our conversation and deal intelligence platform and how to use transcripts along the deal lifecycle for next best action for agents • Build integration architecture connecting the revenue intelligence platform with CRM, enablement tools, and reporting to ensure insights flow to the right stakeholders automatically • Own win/loss analysis program: design the data capture process, build reporting, and synthesize patterns for product, sales, and leadership • Develop a 3rd-party data integration roadmap identifying which external signals (intent, news, firmographic changes) should be pulled into the revenue stack and how • Partner with Sales Enablement and frontline managers to surface AI-generated coaching recommendations from call data

• Deliver high-quality, well-tested code with strong velocity and lead technical discussions that raise the bar across the team. • Proactively identify and mitigate risks, estimate large projects, and advocate for technical investments alongside feature work. • Review and optimize system performance, driving meaningful improvements in latency, throughput, and resource consumption. • Make significant design contributions to major systems, writing ADRs and leading design reviews to build consensus before work begins. • Drive scalable, secure, maintainable architecture and apply threat modeling and secure design principles throughout. • Drive team-wide alignment by clarifying goals, communicating proactively with cross-functional partners, and influencing technical decisions through clear reasoning. • Coach engineers across the team, mentor junior engineers with structured development goals, and contribute to interviews and calibration sessions. • Lead large, ambiguous projects end-to-end. Starting with delivery planning through production and maintenance while improving team engineering standards and removing roadblocks. • Own incident response and postmortems for team services, and consistently make sound short- vs. long-term tradeoffs to maintain platform health. • Use AI tools as a force multiplier to accelerate prototyping, scaffolding new services, and reducing time spent on boilerplate so more focus goes to high-judgment engineering work. • Leverage AI to rapidly explore solution spaces, generate proof-of-concepts, and pressure-test designs before committing to implementation. • Apply appropriate skepticism to AI-generated output by reviewing, testing, and owning everything that ships regardless of how it was produced.