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.
Do you want to work at the intersection of autonomous finance and finance moving onchain? Do you believe systems of record define entire industries? Do you understand why blockchains, as powerful as they are, are not effective systems of record on their own?
Allium exists because reading blockchains at institutional scale is fundamentally hard. Blockchains record events. Finance requires meaning, standardization, auditability, and performance. That gap is where we operate.
At Allium, you’ll help define:
How institutions interpret stablecoin supply and flows
How asset managers calculate staking income and P&L
How wallets power real-time balances across chains
How regulators validate onchain disclosures
How AI agents will reason about financial state before executing capital
At Allium, you won’t be optimizing button colors. You’ll be defining how Visa understands stablecoins, how Institution XYZ calculates staking revenue, how wallets show real-time balances, and how regulators verify onchain disclosures.
We're hiring a Product Manager to help us build and scale the data products that power the next wave of institutional blockchain adoption. You'll work across Allium's full product surface (spanning APIs, data streams, datashares, and rich user experiences) and own the roadmap for how we deliver high-fidelity blockchain data to some of the most demanding clients in finance and fintech.
This is a hands-on, generalist yet technical PM role. You'll be embedded with engineering, working directly in the weeds of data modeling decisions, API design tradeoffs, and enterprise integration requirements. You'll understand the shape of our data as well as our customers do, and have enough taste (we love food) to know when a product surface is genuinely good versus technically functional but painful to use.
We are looking for someone special. High agency (with agents). Slightly obsessed. Comfortable with ambiguity. Energized by defining new standards where none exist.
Drive the roadmap and execution for Allium's core data product surfaces: APIs, data streams, data shares, and enterprise dashboards
Translate complex, data-dense customer requirements from clients like financial institutions, analytics platforms, and compliance teams into clear, scoped product specs
Work hands-on with data pipelines and schemas (writing SQL, reviewing data models, and QA-ing outputs) to deeply understand what we're shipping
Design intuitive product experiences for inherently complex datasets, bringing both rigor and taste to dense data interfaces
Lead customer discovery and feedback sessions to identify gaps, prioritize features, and inform vertical-specific product strategy
Partner with the GTM team to create clear product narratives and differentiated positioning for enterprise deals
Drive delivery across a distributed engineering team, managing dependencies and tradeoffs with clarity and low friction
3+ years of product management experience or 2+ years of engineering experience with meaningful time spent on data-intensive products (APIs, data pipelines, analytics platforms, or similar)
Strong SQL fluency: you can write and review queries, understand indexing and performance tradeoffs, and navigate complex schemas without help
Working knowledge of API architecture and data delivery patterns: REST, streaming, webhooks, datashares (e.g., Snowflake Data Sharing, BigQuery)
Genuine familiarity with finance and/or crypto: you understand the domain well enough to quickly grasp w
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