Software Engineer - Data
Point72 is hiring a Software Engineer - Data in New York, United States. It pays $200k-$300k a year and Level rates it ; you can apply on Point72.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- Pay on this posting starts 20% higher than the typical software engineer posting on Level.
- The posting mentions Python, PyTorch and Docker among its tools and skills.
- Level classes it as a senior role.
- Point72 has 199 other open roles on Level.
AI in this role
Build and maintain agentic workflows, LLM tooling, and data infrastructure supporting AI projects at Point72.
A Career with Point72's Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you'll do
As a software engineer, you will help build the next generation of data infrastructure at the firm—thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will:
- Build and maintain agentic workflows and tooling that leverage large language models
- Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access
- Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
- Ensure backend systems are reliable, observable, and performant at scale
- Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers
- Contribute to CI/CD pipelines, infrastructure as code, and deployment automation
What's required
- Bachelor’s degree in computer science or a similar engineering field
- 3+ years of professional experience in software engineering roles building enterprise-grade systems
- Strong programming skills in Python and experience with team development on business-critical systems
- Experience with relational databases, including schema design and performance tuning
- Exposure to agentic development in a commercial environment
- Exposure to cloud development
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
How we rate this
Software Engineer - Data at Point72 rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $200k
- Typical software engineer job
- $167k
This posting starts 20% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Engineering, Machine learning, Data Engineering, and Agentic Workflows. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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