Senior Full-Stack Engineer

Prosights, Inc.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

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Job summary

Prosights, Inc. is a data transformation partner helping PE-backed firms convert messy data into clean, structured data. We build reusable modules, data platform services, AI runtime infrastructure, and internal tooling to ship production software quickly and reliably.

Senior Product Engineer will work across frontend, backend, data, and infra, delivering scalable components and guiding architectural decisions while staying aligned with customer needs and enterprise standards.

Qualifications

• :6+ years shipping production software and owning meaningful systems beyond first release.
• n/a

Responsibilities

• Develop reusable application modules and configurables for deployment teams.
• Build data platform services including ingestion, schema mapping, validation, lineage, permissions, and writeback across documents, APIs, warehouses, ERPs, and CRMs.
• Design AI runtime infrastructure with model routing, prompt registries, evaluation harnesses, memory layers, human review, and production observability.
• Create internal developer tooling including local environments, templates, component libraries, test fixtures, release workflows, and diagnostics.
• Maintain production foundations with authentication, RBAC, tenant boundaries, workflow state, background jobs, monitoring, and reliability patterns.

Skills

Senior Product Engineer

Leadership

Clear communication

Tools

TypeScript

React

Python

SQL

APIs

Queues

Data modeling

Job description

Prosights is a data transformation partner to the largest private equity-backed portfolio companies. We unify messy data after M&A, turn documents into clean structured data, replace spreadsheet workflows with real software, and keep data in sync across disparate systems. We embed engineers inside the company, ship a working prototype in 48 hours, and have production software live in about four weeks. More than 70% of the 10 largest PE firms have used ProSights.

What you would build

Reusable application modules. Configurable tables, review queues, exception handling, approvals, search, citations, audit trails, and admin surfaces that deployment teams can assemble quickly.

Data platform services. Shared ingestion, schema mapping, validation, lineage, permissions, and writeback services across documents, APIs, warehouses, ERPs, and CRMs.

AI runtime infrastructure. Model routing, prompt and tool registries, evaluation harnesses, memory layers, human review, and production observability.

Internal developer tooling. Local environments, deployment templates, component libraries, test fixtures, release workflows, and diagnostics that remove friction from delivery.

Production foundations. Authentication, RBAC, tenant boundaries, workflow state, background jobs, monitoring, and reliability patterns that hold up inside enterprise environments.

What the job is actually like

Work directly with Forward Deployed Engineers to identify what should become product and what should remain customer-specific.

Move between frontend, backend, data, and infrastructure based on where the reusable bottleneck is.

Ship incrementally into live deployments rather than waiting for a perfect platform redesign.

Set standards for architecture, testing, reviews, and operability while the engineering team grows quickly.

Stay close enough to customers to know whether the abstraction actually makes delivery better.

Who you are

Senior product engineer. 6+ years shipping production software and owning meaningful systems beyond the first release.

Full-stack by default. Strong in TypeScript, React, Python, SQL, APIs, queues, and relational data modeling.

Platform-minded, not platform-first. You know when repetition justifies an abstraction and when the team should keep shipping.

Operationally serious. You design for permissions, migrations, testing, observability, and support—not only the happy path.

Clear and low ego. You can lead technical decisions, accept evidence from the field, and make other engineers faster.

About the interview

Three to four conversations with the founders and engineering team, followed by a paid work trial on a real product or platform problem. We will look at how you choose boundaries, make tradeoffs, and turn an ambiguous need into software another engineer can use. You will also meet the team over dinner, lunch, or coffee.