Skip to main content

Pear VC

Founding AI Engineer - Manhattan Labs

Palo Alto, California, United States

Location
Palo Alto, California, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
5 months ago

About the role

About the team

We’re building the AI-native compliance platform for community banks and financial institutions.

Regulatory pressure is intensifying. Financial crime is becoming more sophisticated. Compliance teams are overwhelmed by manual workflows and fragmented systems. Community banks, despite managing billions in assets, lack the tooling to keep up.

We’re building the intelligence layer that changes that: a system that can answer questions like

“What is our exposure to this entity across all customers?”

  • with a defensible, auditable answer.

Our team includes engineers and researchers from Stanford, Carnegie Mellon, and IIT Madras, and we’re backed by Tier 1 investors and experienced operators who understand the massive opportunity in modernizing financial crime compliance with AI.

Learn more at https://manhattanlabs.co/

Description of the role

This is a true founding engineer role. You won’t just ship features - you’ll define the system.

You’ll architect and build an AI-native platform that operates as the investigative brain for compliance teams. This includes agentic reasoning systems, large-scale document ingestion, and user-facing tools that must stand up to regulatory scrutiny.

You will take the product from early-stage MVP to a secure, reliable, enterprise-grade system used by financial institutions.

By reimagining KYB and AML as autonomous intelligence, you'll help build the platform that becomes the default compliance infrastructure for thousands of community banks, that each manage assets worth billions of dollars. You'll work directly with the founding team, own technical decisions, and lay the foundation for a potentially massive and fast-growing SaaS company.

Responsibilities and potential impact

  • Design, build, and operate RAG and agentic systems over complex financial data (corporate registries, sanctions lists, beneficial ownership, adverse media), with clear evaluation metrics for accuracy, latency, and cost
  • Develop scalable backend services for document processing (PDF/OCR/CSV), async job queues, case lifecycle orchestration, and risk scoring with confidence-driven UX and human-in-the-loop controls
  • Own the productionization of AI systems, including evaluation pipelines, dataset/version management, and safe rollout strategies (A/B testing, guardrails, fallback behavior)
  • Harden the platform for enterprise: auth controls, role-based access, audit trails, backups, and monitoring with measurable SLOs
  • Establish CI/CD, deployment pipelines, runbooks, and incident response practices from the ground up
  • Propose and engage in cutting-edge AI research related to our mission, particularly around agentic reasoning over regulatory and financial data
  • Work directly with the founding team to define architecture, technical roadmap, and product direction

Must haves

  • 1+ years of experience on technical projects with startup experience strongly preferred
  • Strong TypeScript and Python skills across modern frontend and backend stacks
  • Hands-on experience shipping LLM integrations or RAG systems into production user-facing products
  • Experience with document processing, entity extraction, and structured data extraction from messy real-world sources
  • Solid grasp of API design, relational databases, and async job processing systems
  • Proven track record taking a product from "works locally" to reliable production at growing scale
  • Debugging instincts across frontend, backend, infra, and data boundaries - and an ownership mindset to match

Nice to haves

  • Knowledge of KYC/KYB/AML workflows, sanctions screening, beneficial ownership data, or regulated fintech
  • Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks
  • Familiarity with banking APIs, core banking systems, or financial data providers
  • Familiarity with OCR and document intelligence pipelines
  • Background in fintech, compliance, RegTech, or other regulated industries
  • Cloud deployment experience and DevOps knowledge in security-sensitive environments
  • Strong product intuition and user experience focus

What we offer

We believe in generous, top-tier compensation and benefits for our employees:

  • Competitive salary and equity
  • 100% health, dental, and vision coverage
  • Commuter stipend
  • Regular team events and off-sites

Source

Posted by Pear VC on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 02:24 UTC; the original is the reference.

View the original ad ↗

More at Pear VC

  • Pear VC · United States

    RemoteFull-time$120K – $150K a yearSales

    You're responsible for making sure Endless is part of the conversation whenever consumer brand operators talk shop. That means working closely with companies that serve the same brands we do, from fractional ops agencies to other SaaS businesses, and helping lead our referral…

  • Pear VC · United States

    RemoteFull-timeDirector$150K – $175K a yearMarketing

    You lead marketing at Endless. You set our marketing strategy and manage the team that carries it out.

  • Pear VC · Palo Alto, California, United States

    Full-timeEngineering

    You are a software engineer who works directly with our customers. You will be deployed inside practices, clinics and hospitals in New York, understand how doctors and staff actually work, and build the integrations and product features that make Optexity work in their…

  • Pear VC · New York, United States

    Full-timeExecutiveCustomer success & support

    This is not a support role, and not a sales role. It is a flexible, hands-on role for someone who wants to start a company one day. You will be the face of Optexity to our customers: the practices, clinics and doctors who use our product every day. You will sit with them on…