Juniper Square - Staff Software Engineer, Data (AI)
Requirements
• 7+ years of software engineering experience, with demonstrated Staff-level technical scope and impact • A portfolio of shipped production systems - we will ask you to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others • Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution • Production experience building with LLMs: prompt design, model orchestration, evaluation, and output validation in real systems, not just experimentation • Fluency with AI-assisted and agentic development workflows; you use these tools daily and have strong opinions about how to use them effectively • Experience with AWS data infrastructure; Redshift experience a plus • Strong written communication —- able to translate technical design into clear documentation for both engineering and product audiences • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases • Preferred • Experience with RAG pipelines, vector stores, or document extraction systems • Background in financial services data — familiarity with fund administration, investment data schemas, institutional reporting workflows, or related domains is a meaningful differentiator • Experience building data products or managed data services for external customers, not just internal tooling • Prior experience in a technical lead or TLM capacity on a new or early-stage product team
Responsibilities
• Own End-to-End Delivery of Core Data Platform Components • Design and ship the data normalization, schema mapping, validation, enrichment, and distribution pipeline for a net-new intelligent data warehouse • Write production code as a hands-on individual contributor - this is not a role that delegates implementation to others • Take technical ownership from architecture through deployment, with accountability for reliability, performance, and correctness • Drive Technical Architecture • Partner with a small seed team to define the end-to-end architecture for an AI-native data warehouse serving institutional financial clients • Bring opinionated decisions on schema design, normalization strategies, API exposure patterns, and data distribution approaches • Evaluate and select technologies with a bias toward what ships well and scales sustainably • Build AI Evaluation Infrastructure • Design and implement the evaluation framework that makes AI-generated outputs trustworthy in high-stakes financial data contexts • Build cross-model comparison tooling, deterministic validation checks, and human-in-the-loop review workflows • Contribute to shared AI evaluation infrastructure that can serve as a foundation across multiple products • Ship with AI-Native Development Practices • Use agentic coding tools and LLM-assisted development as your primary workflow - this is how the entire team operates • Bring strong opinions about how to get the most from AI-assisted development while maintaining quality and reliability • Contribute to the team's evolving practices around AI-accelerated SDLC • Establish Technical Standards • Set coding standards, review practices, and architectural documentation that will scale as the team grows • Help define what "good" looks like for a team building at speed without sacrificing quality • Mentor engineers and provide technical guidance as the team expands
Benefits
• Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $210,000 – $260,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. • Health, dental, and vision care for you and your family • Life insurance • Mental wellness coverage • Fertility and growing family support • Flex Time Off in addition to company-paid holidays • Paid family leave, medical leave, and bereavement leave policies • Retirement saving plans • Allowance to customize your work and technology setup at home • Annual professional development stipend • Your recruiter can provide additional details about compensation and benefits.
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