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Founding Engineer, Trading Infrastructure

πŸ’° $225,000 - $300,000 🌍 New York, New York πŸ“… 03/04/2026

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Job Description

Founding Engineer, Trading Infrastructure.

NYC Metro preferred; remote considered

**About Tixlytics**

Tixlytics is rethinking how secondary ticket markets operate by combining
technology, data, and market-making discipline to trade live event inventory
intelligently.

Live events generate tens of billions of dollars in secondary ticket
transactions each year, yet the market remains fragmented and inefficient.
Pricing and distribution vary widely, liquidity is uneven, and trading results
are often driven by individual judgement and reactive execution.

We are building systematic trading infrastructure for live event markets,
backed by an established, profitable brokerage with multiple years of track
record and eight-figure annual revenue. Our work strengthens liquidity and
price discovery, supporting better access and pricing for fans.

**_We are not just buying and selling tickets.
We are building a technology-driven trading business for real-world markets,
with live events as the first asset class._**

**The Role**

As Founding Engineer, you will design, build, and scale the systems that power
valuation, capital deployment, and execution across secondary markets. You
will own the architecture, core codebase, and production performance of a
platform that deploys real capital daily.

You will work closely with the founder to set priorities, translate strategy
into production systems, and improve performance continuously.

This role operates at the Staff or Principal IC level from day one, with a
clear path into engineering leadership as the team scales

**Scope**

* Own the trading infrastructure and data pipelines powering pricing and execution.
* Design, build, and evolve systems for valuation, order placement, and post-trade tracking.
* Develop pricing logic informed by market data, liquidity, and historical outcomes.
* Stand up monitoring, dashboards, and internal tooling for performance and system health.
* Implement safeguards for data quality, execution failures, and edge cases.
* Partner with the founder to define priorities, run experiments, and identify new opportunities.
* Improve decision quality through tight feedback loops and iteration.

**What We’re Looking For**

* Proven track record building production systems in high-stakes environments (trading, fintech, marketplaces, pricing systems, ad tech, or similar).
* Strong backend and infrastructure engineering experience, including API integrations, relational databases (PostgreSQL or similar), and cloud infrastructure (AWS or GCP). Python or Go preferred.
* Deep experience building data pipelines and systems that behave predictably under messy, real-world inputs.
* Entrepreneurial mindset with high ownership.
* Can communicate system behavior and tradeoffs clearly to the founding team.

**_We are open to different candidate profiles and experience levels, from
early-career engineers with exceptional ability to senior-level engineers with
deep market experience. We evaluate on what you can build, not years on a
resume._**

**Compensation & Structure**

* Base Salary: $200,000 – $300,000 per year (commensurate with experience and scope)
* Equity: Meaningful founding team-level equity participation. Specifics discussed with serious candidates.
* Performance Bonus: Annual bonus tied to trading outcomes and system performance.
* Alternative Structure: Open to lower base + higher equity or performance share for candidates seeking more upside.
* Benefits: Health/dental/vision, equipment budget, AI tooling budget, live event perks.

**Why Join Tixlytics?**

* High Impact: The systems you build directly deploy capital and generate revenue.
* Autonomy: Own the core trading platform from day one.
* Partnership: Work directly with the founder on strategy, execution, and iteration.
* Clean Slate: Build deliberately without legacy constraints or bureaucracy.
* Long-Term Opportunity: Define how systematic trading infrastructure for real-world markets gets built.

**Our Process**

Take-home exercise (15–30 minutes time-blocked, AI tools required) β†’ Technical
Interview β†’ Behavioral / Fit Interview β†’ Paid work trial β†’ Offer

**_We respect your time and move quickly._**