Senior Software Engineer, Full Stack - Sales Planning

New

JobgetherSoftware Engineering

Based in the United StatesFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of professional software engineering experience with strong full-stack proficiency.
Strong experience with Python, React/TypeScript, and databases.
Experience building and scaling products from early-stage development through production environments.
Strong systems-thinking and architectural judgment, with the ability to design robust data models and APIs for complex business logic and high-volume datasets.
Experience working closely with Product and Design teams and translating customer feedback and business requirements into effective technical solutions.
Strong customer-centric mindset and product sensibility, with an ability to balance technical considerations with user and business outcomes.
Proven experience building observable, reliable production systems and taking ownership of production quality and performance.
Practical ability to use AI-powered development tools to ship reliable software efficiently.
Excellent communication and collaboration skills, particularly in cross-functional product development environments.
Strong ownership mindset and comfort operating in an early-stage product where requirements and priorities may evolve.
Django experience is strongly preferred.
Experience building AI model feedback loops to continuously improve model behavior is a plus.
Experience implementing AI evaluation and guardrail systems is a plus.

Build new core product capabilities from the ground up, transforming early concepts and requirements into production-ready functionality using Django, Python, React, and TypeScript.
Work closely with Product and Design to understand ambiguous problems, clarify requirements, and translate customer and business needs into high-impact technical solutions.
Develop and refine core Sales Planning capabilities, including quota management, capacity planning, territory management, and AI-powered revenue planning.
Optimize application and platform performance by identifying and resolving bottlenecks as the product scales to support complex enterprise-grade datasets.
Help define technical requirements and contribute to the migration toward a common platform architecture across products.
Design scalable data models, APIs, and system architectures capable of supporting complex business logic and high data volumes.
Maintain high standards for code quality, automated testing, observability, reliability, and production readiness.
Build and maintain reliable, observable production systems with a strong focus on uptime and operational quality.
Leverage AI development tools effectively to accelerate engineering delivery while maintaining reliable and maintainable code.
Mentor other engineers and contribute to a strong engineering culture centered on technical excellence, collaboration, and ownership.

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