Staff Software Engineer, Data (AI)

Juniper Square; United States; Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Mental wellness

Family support

Flexible time off

Paid leave

Retirement plans

Home office stipend

Professional development

Job summary

Juniper Square is building a next-generation intelligent data platform for private markets. As a Staff Software Engineer, Data, you will own the design and hands-on delivery of core pipeline components including schema mapping, normalization, validation, enrichment, and distribution to downstream systems.

You will work with AI-assisted development, set technical standards, mentor engineers, and help scale the platform for institutional clients using AWS and Redshift.

Qualifications

• 12+ years of software engineering experience with staff-level scope and impact.
• Portfolio of shipped production systems with hands-on coding.
• Strong data pipeline / data warehouse engineering experience (ETL/ELT, normalization).
• Production experience with LLMs, prompt design, model orchestration, evaluation.
• Fluency with AI-assisted development workflows and ability to evaluate AI outputs.

Responsibilities

• Own end-to-end delivery of core data platform components (data normalization, schema mapping, validation, enrichment, distribution).
• Write production code as a hands-on contributor and architect components for reliability and performance.
• Define end-to-end architecture for an AI-native data warehouse serving institutional clients.
• Build AI evaluation infrastructure and tooling for trustworthy outputs.
• Set coding standards and documentation to scale with the team growth.

Skills

Staff-level

Software engineering

Data pipeline engineering

LLMs / AI-assisted development

AWS data infrastructure

Technical design/docs

Code review/quality

Effective communication

Tools

Redshift

Job description

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come.

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About Your Role

We are building a next-generation intelligent data platform for private markets - a greenfield initiative that will reshape how financial data is ingested, normalized, validated, enriched, and distributed across a complex ecosystem. This is a foundational role on a small, high-caliber seed team working at the intersection of modern data engineering and applied AI.

As a Staff Software Engineer, Data, you will own the design and hands-on delivery of the core pipeline components that make this platform work: schema mapping, data normalization, validation, enrichment, and distribution to downstream systems. You will write production code every day, make consequential architectural decisions, and help establish the technical standards and practices the broader team will build on as it scales. This role is for someone who thrives at the frontier of how software gets built - using AI-assisted and agentic development as a first-class part of their workflow - and who wants the challenge and ownership that comes with building something genuinely new.

What You’ll Do

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

  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

  Qualifications

  Required

  • 12+ 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

  Compensation

  Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $200,000 - $250,000 USD and the Canadian base salary range is $200,000 - $250,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

  Benefits Include

  • 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.