Solutions Engineer, Institutional
Matter Labs
Remote · New York · Posted August 28, 2026
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- Best cities for sales jobs #1 New York (2,774 openings)
- Best cities for sales pay after cost of living #1 Santa Clara ($175k)
- Most requested AI skills in sales jobs #1 AI tools in daily work (4.1%)
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Pay compared with the market
This listing does not state pay. Across 77 open solutions engineer listings that state pay, the middle half runs $143,000 to $204,000 and the median is $166,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
ABOUT MATTER LABS
Matter Labs builds private settlement infrastructure that lets regulated institutions settle directly with each other without exposing data, ceding control, or waiting days. Global finance moves $4 quadrillion a year on systems designed for paper and telex. The institutions that built them - from clearing houses to exchanges to the world's largest banks, institutions are now actively replacing them. We're building what comes next.
Our core product, Prividium, gives each institution its own private settlement environment (a Prividium Zone) with independent governance and built-in interoperability across counterparties, asset classes, and jurisdictions. Settlement happens through zero-knowledge proofs: one party proves a transaction is valid without revealing any underlying data to the counterparty. The only private settlement infrastructure built on zero-knowledge cryptography.
Founded in 2018. Backed by a16z and Union Square Ventures. A fully remote team of around 90 with eight years of production zero-knowledge infrastructure behind us, now pointed at the biggest problem in institutional finance.
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.