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About the Role
Mesh is bridging the gap between tokenized assets and everyday commerce by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. You'll own how we define, instrument, validate, and ship data, working hands-on in SQL and Python and building the guardrails that let AI agents query our data safely.
Responsibilities
- Own product and client analytics, defining core metrics and maintaining central Amplitude data with reusable charts.
- Build internal and external dashboards for clients.
- Run experiment readouts, analyzing A/B tests and translating results into product decisions.
- Prove migrations with data by building apples-to-apples comparisons between platforms.
- Guard data integrity by running and automating daily reconciliation triage and verification.
- Shape instrumentation by defining backend event schemas, tracking plans, and normalizing fields.
- Build finance-grade reporting on Microsoft Fabric / Power BI with parity validation, alerting, and self-serve access.
- Make data AI-native by building skills and tools for internal data agents, logging agent-generated SQL, and keeping self-serve data channels accurate.
- Turn data into client products by shaping self-serve reporting, reconciliation, and billing exports.
Requirements
- Expert in SQL (T-SQL / SQL Server and Spark SQL a plus) and solid in Python.
- Hands-on with product analytics (Amplitude, Mixpanel or similar), including event design and funnel/CVR modeling.
- Comfortable with experiment design and statistics for A/B readouts.
- Experienced building data quality checks, reconciliations, or backfills on production data.
- In the habit of validating numbers against source systems before anyone else sees them.
- A clear writer who can explain a data issue to an engineer, a CRO, and a client.
- A daily user of AI coding and analysis tools.
- Approximately 3+ years in analytics or data engineering.
- Approximately 5+ years with end-to-end ownership of a data domain.
Skills
- SQL
- Python
- Product Analytics
- Amplitude
- Mixpanel
- Event Design
- Funnel Modeling
- CVR Modeling
- Experiment Design
- Statistics
- A/B Testing
- Data Quality Checks
- Reconciliation
- Backfills
- AI Coding Tools
- AI Analysis Tools
- T-SQL
- Spark SQL
- Microsoft Fabric
- Power BI
Location
- San Francisco
- New York
- Bangalore
Work Type
- Hybrid
- Remote-Friendly
Experience Level
- 3+ years in analytics or data engineering
- 5+ years with end-to-end ownership of a data domain
Salary/Compensations
- $180,000—$200,000 USD
Benefits
- Competitive salary and equity
- Comprehensive health coverage for you and your family
- Unlimited PTO
- Dedicated budget for courses, conferences, and certifications
- Top-tier tools and equipment
About the Company
- Mesh's mission is to enable consumers to pay and be paid with any asset, bridging the gap between tokenized assets and everyday commerce.
- Backed by leading investors like SBI, Money Forward, Paradigm, Dragonfly, Galaxy, and PayPal Ventures.
- Building the infrastructure for the next era of the global economy.
- A rocket ship in mid-liftoff, tackling complex, meaningful problems that move an industry forward.
- A sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership.
- A place where work ships fast, makes real impact, and allows for growth and learning.
- Offers a front-row seat to how a high-growth company scales from the inside.
Equal Opportunity
- Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.