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Top Entry Level Software Engineer Jobs in NYC, NY

72+ Job Results
19 Days Ago
New York, NY
Hybrid
500 Employees
120K-140K Annually
Entry level
500 Employees
120K-140K Annually
Entry level
AdTech • Big Data • Digital Media • Marketing Tech • Sales • Software • Data Privacy
The Technical Account Manager at VideoAmp is responsible for technical support and onboarding of clients, ensuring the maintenance of data systems and dictionaries. This role involves working closely with various teams to troubleshoot issues, implement processes, and communicate effectively with clients to enhance their experience.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+62 More
21 Days Ago
New York, NY
335 Employees
130K-175K Annually
Entry level
335 Employees
130K-175K Annually
Entry level
Blockchain • Fintech • Financial Services • Cryptocurrency
As a Solution Engineer at GK8, you will lead pre-sales processes, provide technical support to customers, and tailor solutions to meet client needs. You'll work with the sales team for product demonstrations and build strong client relationships for an effective understanding of products.
22 Days Ago
New York, NY
Remote
850 Employees
93K-149K Annually
Entry level
850 Employees
93K-149K Annually
Entry level
Fintech • Professional Services • Software • Analytics • Financial Services • Data Privacy
As a Sales Engineer at Addepar, you'll guide investment professionals through the sales process by presenting solutions, advising on technical matters, and collaborating with internal teams. You'll create custom demo environments, participate in resource development for the sales team, and facilitate successful client engagements.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+40 More
24 Days Ago
New York, NY
21 Employees
175K-275K Annually
Entry level
21 Employees
175K-275K Annually
Entry level
Financial Services
As an AI Engineer at Vatic, you will design and develop advanced frameworks for trading and research. Collaborate with a team on large-scale experiments and ensure framework compatibility with cloud platforms and ML libraries while focusing on foundational models and software optimization.
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