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About Matter Labs
Matter Labs builds cryptographic infrastructure for global finance. The team created ZKsync and shipped the first production zero-knowledge rollup. Today we build Prividium, an Ethereum-secured blockchain platform for banks and financial institutions that need privacy, compliance, and full control of their data. Prividium runs in production: Deutsche Bank's Project DAMA 2 is built on Prividium, which also underpins Cari Network, a tokenised-deposit network developed with five US regional banks. The platform is early. The reference deployments are real, the repeatable sales motion is still being built. This role shapes the technical side of that motion.
The role
You will be the technical partner to Matter Labs' institutional sales team. Your work turns customer requirements into credible Prividium architectures and moves opportunities from discovery through evaluation into a deployment plan the customer trusts. The role owns technical discovery, solution design, evaluations and proofs of concept, and the technical response to security and due-diligence reviews. It is a hands-on presales role at the intersection of enterprise architecture, financial markets, and zero-knowledge infrastructure.
What you'll do
Lead technical discovery. Map customer architecture, data privacy, identity and permissions, interoperability, performance, resilience, custody, and compliance constraints.
Design solutions. Translate customer workflows into target architectures for Prividium, including integration boundaries, APIs, deployment models, and the route from pilot to production.
Deliver demos and workshops. Build and run tailored demonstrations and technical workshops for audiences from engineering teams to senior business leaders.
Run evaluations. Define success criteria, scope proofs of concept, coordinate internal specialists, and keep pilots tied to a commercial decision.
Own technical diligence. Lead responses to RFPs, RFIs, security reviews, and architecture assessments, with support from Engineering, Security, Product, and Legal.
Prepare implementation. Produce solution documentation with explicit assumptions, dependencies, owners, and acceptance criteria, and hand over cleanly into delivery.
Feed the roadmap. Bring structured customer evidence into Product and Engineering, and separate repeatable market needs from one-off requests.
Over time, the reference architectures and playbooks you build become the foundation of the solutions-engineering function.
What we look for
Each of these is a demonstrated capability, shown through work you have done:
7+ years in solutions engineering, sales engineering, enterprise architecture, or technical consulting in a customer-facing setting.
Working with banks, capital-markets firms, market infrastructure, payments businesses, or other regulated institutions.
Deep grounding in APIs, distributed systems, cloud and on-premise deployment, security, identity and access, and data privacy.
Leading complex technical evaluations or proofs of concept and converting them into production decisions.
Explaining complex systems to technical and non-technical audiences, with precise writing and disciplined expectation management.
Aligning sales, product, engineering, security, and customer teams without formal authority.
Nice to have
Working knowledge of Ethereum, smart contracts, tokenisation, or zero-knowledge proofs. Deep enterprise and financial-services experience can compensate for a lighter crypto background.
Work model & pay
Competitive base salary
Performance-based variable compensation and a long-term token incentive are additional. Both are paid in ZK tokens. New-hire token grants vest over four years with a one-year cliff.
Freedom & ownership culture: no time tracking, minimum bureaucracy-only results matter.
What is Zero-knowledge?
Zero-knowledge is a concept in cryptography that allows two parties to exchange information without revealing any additional information beyond what is necessary to prove a particular fact
In other words, zero-knowledge is a way of proving something without actually revealing any details about the proof
Here are some examples of zero-knowledge:
- Password authentication: When you enter your password to log into an online account, the server doesn't actually know your password. Instead, it checks to see if the hash of your password matches the stored hash in its database. This is a form of zero-knowledge because the server doesn't know your actual password, just the hash that proves you know the correct password.
- Sudoku puzzles: Suppose you want to prove to someone that you've solved a particularly difficult Sudoku puzzle. You could do this by providing them with the completed puzzle, but that would reveal how you solved it. Instead, you could use a zero-knowledge proof where you demonstrate that you know the solution without actually revealing the solution itself.
- Bitcoin transactions: In a Bitcoin transaction, you prove that you have ownership of a certain amount of Bitcoin without revealing your private key. This is done using a zero-knowledge proof called a Schnorr signature, which allows you to prove ownership of a specific transaction output without revealing the private key associated with that output.
- Secure messaging: In a secure messaging app, you can prove to your contacts that you have access to a shared secret without revealing the secret itself. This is done using a zero-knowledge proof, which allows you to prove that you have access to the secret without actually revealing what the secret is.