Senior Software Engineer, Full Stack - Sales Planning

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Full Stack - Sales Planning based in the United States.** This role offers the opportunity to help build and scale an early-stage Sales Planning platform within a fast-growing, product-focused engineering environment. You will work across core capabilities such as quota, capacity, territory management, and an emerging AI-powered revenue planning agent. The position sits at the intersection of product discovery, engineering, architecture, and user experience, giving you meaningful influence over both technical direction and customer-facing functionality. You will turn ambiguous business challenges into reliable, scalable solutions while helping establish a shared platform foundation across products. Your work will also contribute to shaping how AI is integrated into enterprise sales performance management. This is a hands-on opportunity for an engineer who enjoys ownership, complex systems, and building products from the ground up. ### Accountabilities: - 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. - Contribute to the productization of AI within a new enterprise performance management offering and help shape its long-term technical foundation. - Support the development of AI model feedback loops and, where applicable, evaluation and guardrail systems that improve model behavior and reliability. - Mentor other engineers and contribute to a strong engineering culture centered on technical excellence, collaboration, and ownership. - Participate in an on-call rotation to provide after-hours support, resolve critical issues, and help maintain system uptime. **Requirements:** - 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, including offline and online evaluations, safety filters, policy enforcement, failure detection, human-in-the-loop workflows, and red-teaming. **Benefits:** - 100% company coverage for employee medical, dental, and vision insurance, with approximately 75% coverage for dependents. - Flexible vacation days. - Quarterly mental health days to support rest and wellbeing. - Annual stipends for professional development and caretaking needs. - Annual work anniversary bonuses that increase with tenure. - 401(k) retirement plan for U.S. employees. - Latest Apple hardware and premium tools to support high-quality work. - Active Employee Resource Groups supporting an inclusive and diverse workplace. - Opportunity to work on an early-stage Sales Planning product with significant engineering influence. - Exposure to AI product development, enterprise data platforms, and complex sales performance management challenges. - Opportunity to contribute to the long-term AI strategy and technical foundation of the product. - Collaborative environment where Engineering, Product, and Design work closely together. - Participation in E-Verify for employment eligibility verification in the United States.