Staff+ Software Engineer, Product
New
J
JobgetherAI Financial Planning
Candidates should be based within the Americas, with Brazil being the target location for this opportunity.Full-TimeStaff
Salary$130,000–$200,000 USD annually
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Job Details
- Required Skills
- Full Stack DevelopmentProduct DevelopmentData modeling
Requirements
- Proven experience as a senior or Staff+ software engineer building and shipping complex, highly intuitive B2B products.
- Strong full-stack engineering capabilities, with the ability to reason effectively from user interface through backend services and data stores.
- Demonstrated experience building products where performance, usability, reliability, and attention to detail are critical.
- Experience designing data models, APIs, and backend systems that support complex product requirements and large datasets.
- Strong product mindset and the ability to work directly with customers to understand needs before translating them into technical solutions.
- Experience with AI-native product development, including areas such as orchestration, retrieval, tool calls, or intelligent workflows, is highly valuable.
- Strong engineering fundamentals, with a focus on writing correct, maintainable, and easy-to-understand code.
- High level of autonomy and ownership, ideally demonstrated through experience as a founder, engineering lead, startup builder, or similar high-agency environment.
- Pragmatic approach to technology, with the judgment to select simple solutions that effectively solve the problem and enable incremental delivery.
- Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders.
- Demonstrated ability to create systems, practices, or technical solutions that other teams willingly adopt.
- Experience working on complex products from the ground up is strongly preferred.
Responsibilities
- Own product features end to end, from understanding customer and business problems with stakeholders through technical design, implementation, launch, and iteration.
- Lead major product surfaces across multiple product lines, making sound architectural and engineering decisions across the stack.
- Build performant, intuitive, spreadsheet-grade user interfaces capable of handling large and complex financial datasets.
- Design scalable data models and APIs that remain reliable across actuals, forecasts, scenarios, and multiple product experiences.
- Develop systems supporting streaming results and long-running processes while maintaining a responsive and dependable user experience.
- Build AI-native product capabilities, including orchestration, retrieval, tool calls, and related intelligent workflows.
- Work directly with customers to understand their problems and translate those insights into effective product and technical solutions.
- Raise the engineering bar through high-quality implementation, thoughtful code reviews, strong architectural decisions, and clear technical communication.
- Build reusable systems and patterns that enable other engineering teams to move faster and improve the overall product experience.
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