Senior Forward Deployed Engineer (AI)

Das ist der Job

Our mission at Juniper Square is to unlock their full potential.

Darum lohnt es sich

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. 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 partner with teams across the company to identify high‑impact opportunities, build the applications that solve them, and drive the adoption that turns AI capability into business outcomes.

About your role We are hiring Forward Deployed AI Engineers to embed with business teams and lead the end‑to‑end delivery of internal applications, from discovery through production adoption. The applications you build will be powered by modern AI, and you will use agentic coding tools as your primary development environment.

What you’ll do Partner with business teams (Operations, Customer Success, Marketing, Finance, Legal, and others) to identify opportunities where AI can improve internal workflows and outcomes Conduct discovery with stakeholders and translate business needs into clear product requirements and acceptance criteria Carry each product through its full lifecycle, from prototyping and stakeholder validation through hardening, deployment, and rollout to production Use agentic coding tools such as Claude Code, Cursor, or Augment as the primary development environment Operate independently on standalone internal applications, and partner with central Engineering teams when work intersects with core systems or production platforms Make engineering tradeoffs appropriate to an internal user base, balancing speed of delivery with reliability, security, and maintainability Own deployed tools through adoption, including post‑launch support, iteration based on user feedback, and ongoing maintenance Produce documentation, conduct user training, and manage rollouts to drive adoption Contribute reusable components, patterns, and learnings back to AI teams Qualifications 4+ years of professional experience shipping production software end to end, with hands‑on experience building AI‑enabled applications Demonstrated ability to translate ambiguous business needs into product requirements and deliver working software against them Full‑stack engineering capability across data, services, and user interfaces Proficiency with agentic coding tools such as Claude Code, Cursor, or Augment Experience deploying and operating applications on a major cloud provider Working knowledge of application security practices for systems handling sensitive company data Strong product judgment, including the ability to define scope for an initial release, prioritize features, and determine completion criteria Excellent written communication skills across requirements, specifications, documentation, and stakeholder updates Proven ability to work directly with non-technical stakeholders and communicate technical concepts clearly Compensation Compensation for this position includes a base salary, equity, and a variety of benefits.

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. #J-18808-Ljbffr About Juniper Square Private markets are one of the largest, most complex, and most underserved corners of global finance.

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.

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 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 the AI Guild The AI Guild leads internal AI adoption at Juniper Square.

You will partner directly with stakeholders to scope the work, design the solution, build it, and see it through to active use. This is an AI‑first engineering role. The role combines product management and full‑stack engineering, and calls for someone who operates with high agency.

Working from broad strategic priorities set by Juniper Square leadership, you will conduct discovery with stakeholders, define product requirements, sequence delivery, and make the trade‑offs between scope, speed, and quality that get working software into users’ hands quickly. Success is measured by adoption and impact.

You will own the products you build through launch and beyond, iterating based on real user feedback and contributing the patterns you develop back to the broader AI Guild. The U.S. base salary range is $170,000 - $220,000 USD.

Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.