Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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As IMC continues to grow its client liquidity business, the technical onboarding of new clients has become central to how reliably and quickly those clients can access our liquidity. We are looking for a Technical Onboarding Manager to take dedicated ownership of the end-to-end onboarding and certification process from the first connectivity test through to a fully certified, production-ready client.
In this role you will sit at the intersection of our execution development teams, infrastructure, compliance, business development, and our clients. You will own the technical integration so that our developers can stay focused on building, and so that every client interacts correctly with IMC liquidity from day one. No two onboardings are identical, and the person in this role will make a considerable impact as the firm scales its client business.
Your Core Responsibilities:
Your Skills and Experience:
Please note that immigration sponsorship is not offered for this specific opening.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range$175,000—$200,000 USDAbout Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.