Permissionless nature leads to fragmentation of meaning
Decentralization leads to too many standards
Immutability leads to exponential data + query infrastructure complexity
Neutrality means that no one is accountable for interpretations
Blockchain data is public. It is not usable at institutional scale. Despite being open, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a simple question like “Who are the largest Ethereum token holders over time?” can require running nodes, ingesting full chain history, decoding contracts, cleaning edge cases, and writing complex SQL.
They are built for consensus and execution, not searchability, standardization, or financial interpretation. Blockchains are computers, not databases. Every protocol defines its own schema. The same economic action can be encoded in dozens of different ways. The result:
Fragmented standards
Exponential complexity
No accountability for interpretation
Events without economic meaning
Finance cannot operate on that, it needs an effective system of record.
Allium ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We close four structural gaps that prevent blockchains from becoming systems of record:
Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income
Standardization Gap: Mapping thousands of protocols into a single canonical cross chain schema
Infrastructure Gap: Read optimized, globally distributed data at web scale
Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance
The result is a neutral, canonical data layer institutions can build on with confidence.
Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted source of truth for onchain financial activity, just as they rely on Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role.
As AI agents begin transacting autonomously, the requirement becomes even stricter. Agents cannot reason over raw event logs. They need structured data, attribution, condition checks, and auditability.
Allium is the read layer that makes onchain finance usable for humans and machines.
Allium powers three core personas with the same canonical data foundation:
1. Finance, Accounting, and Risk TeamsThey need reliable, audit grade answers. They rely on Allium for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators.
2. Engineers and Product Teams They need low latency, production ready infrastructure. They use Allium to power wallets, trading systems, payment rails, staking infrastructure, and real time applications that cannot break.
3. Strategy, Research, and Executive Teams They need clarity and insight. They use Allium to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain.
and of course.. agents 🦞. Our customers and users include Visa, Stripe, G-SIB Banks, Big 4 Accounting firms, BCG, Coinbase, Phantom, Uniswap and cited by the Federal Reserve.
The charter of Revenue Operations at Allium is to maintain a high-fidelity view of revenue performance, remove friction, and anticipate future bottlenecks across our go-to-market motion. Our goal is to drive focus, efficiency, and scalability as Allium grows.
This role owns the revenue technology function: setting the technical strategy, driving adoption and ensuring systems scale ahead of business needs. As the day-to-day owner of our revenue systems, this role is expected to ensure they are reliable, reportable, scalable, and well-adopted by the team.
Serve as the systems owner for Salesforce and adjacent revenue tooling.
Drive the roadmap for data model, automation and workflow improvements.
Proactively identify gaps in metric definitions or data quality and drive resolution before they affect business decisions.
Build automated pipeline analysis and alerting using Claude and Salesforce.
Design and implement Chili Piper + Salesforce automations to streamline SDR-AE handoffs.
Manage enrichment workflows (e.g., Clay → Salesforce) to ensure high-quality account and lead data.
Build automated event lead enrichment and routing workflows.
Lead and execute a Salesforce de-duplication initiative to improve data integrity.
Design, implement, and enforce Revenue Operations policies that support a growing sales and marketing organization.
Translate ambiguous operational questions (e.g., how to handle low-intent inbound leads) into clear, enforceable system behavior.
Proactively build and maintain a systems roadmap that scales with the company, ensuring no process or tool becomes a bottleneck
Own the rollout of new revenue tools, ensuring clean data flow, clear documentation, and strong internal adoption.
Partner with stakeholders across Sales, Marketing, and Customer Success to ensure systems meet real workflow needs.
Drive cross-functional alignment on systems and process decisions without needing direction on what to prioritize.
Own full-funnel revenue reporting and dashboards used by the revenue team.
Ensure metrics are trusted, definitions are clear, and reporting scales with the business.
You have deep experience working with revenue systems and are ready to take on full ownership and scope.
You take pride in ownership and have high standards for your work, while remaining low-ego.
You have a strong bias toward action and know when to move fast. You don’t let perfect be the enemy of done on low-stakes, reversible decisions. You reserve deliberation and consensus only for the calls that actually warrant it.
You have strong opinions about what good looks like in revenue systems and can translate that into a roadmap and execute against it.
You operate with a high degree of independence and drive cross-functional alignment.
You know how to evaluate business impact when designing systems and automations and can push back on low-impact work to protect focus.
You combine grittiness with deep curiosity. You’ll debug something 100x to understand how a tool operates at its most fundamental level.
You seek out feedback and treat it as signal.
allium