---
title: 'Account Director  (Copy) (Copy) at Obin AI'
canonical: 'https://feeny.ai/job/account-director-copy-copy-obin-ai-new-york-7bsekzgc2k09'
type: 'job'
last_seen: '2026-09-15'
---

# Account Director  (Copy) (Copy) at Obin AI

- **Company:** Obin AI
- **Location:** New York, NY
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.gem.com/obin-ai/am9icG9zdDoetRw0pNzD5LO-ZC1F9vxH

## Job description

## About Obin

AI has made plenty of promises. Regulated financial institutions need systems they can deploy, govern, and defend to a regulator.

Obin is the agentic workforce for regulated finance. We build AI agents trained on how a specific firm actually works — its operating logic, its edge cases, its regulatory framework — that run inside the client's own cloud and governance boundary. Every agent we build belongs to the client: their cloud, their model, their IP. Outputs are auditable, traceable, and reversible.

We help leading institutions rethink critical workflows across insurance, private credit, private equity, and commercial lending. Our founders are Apoorv Saxena (Global Head of AI at JPMorgan Chase, Managing Director at Silver Lake, Head of Product for Cloud AI at Google) and Lak Lakshmana (Data & AI operating executive at Silver Lake, Head of Data Analytics & AI at Google). Our advisors include Fei-Fei Li and Lukasz Kaiser. We are in production at institutions representing over $1 trillion in assets, profitable since seed, and closing a Series A.

## The role

You are our first sales engineer. Today our CTO and our founders sit in every technical conversation, which does not scale and is the reason this seat exists.

You will be the technical partner to our Client Partners and Account Executives across the full cycle: discovery, demo, architecture and security review, workflow scoping, and the handoff into delivery. You will translate in both directions — turning a client's operating problem into something our engineers can scope, and turning what we have built into something a business buyer understands.

Be clear-eyed about what this is. No team, no library of demo assets, no discovery framework waiting for you. You will build the technical sales function while carrying it.

## What you will own

- Technical discovery. Get underneath the stated requirement to the actual workflow, the exception paths, and where the current process breaks.
- The business-buyer demo. Own the flow, the narrative, and the data, including the Context Studio story. Build it so a Client Partner can run it without you.
- Architecture and security reviews. Lead conversations on data access, deployment model, controls, lineage, and auditability.
- Model risk and compliance. Support the questions that stall deals in regulated institutions.
- Accuracy and evals. Explain, credibly and specifically, how we get from a frontier model's baseline to production accuracy — ontology, encoded SOPs, edge-case handling, error correction, and the eval sets that prove it. Technical buyers will test this, and hand-waving ends the conversation.
- Scoping with engineering. Translate opportunities into estimates our delivery team can stand behind, and be honest with sellers about what capacity allows. You produce the opportunity brief, the ROI validation, and the scope that feeds the SOW.
- Clean handoff. The delivery pod inherits your scope. Make it something a forward-deployed engineer can build from without re-discovering the account.
- Technical enablement. Build the objection library, the proof points, and the talk tracks so the commercial team is not dependent on you for every call.

## What we are looking for

Must have

- Enterprise sales engineering experience. You have supported seven-figure deals with long cycles and technical buying committees.
- Financial services fluency. You have been through security review, model risk, and third-party risk at a bank, insurer, or asset manager, and you know what actually blocks a deal.
- You can demo to a business buyer. Not just a technical audience. You know the difference and you can do both.
- Applied AI understanding. LLMs, RAG, agentic workflows, and where each is and is not appropriate. Enough depth to be credible with engineers, and enough honesty to say what we cannot do.
- Builder appetite. Comfortable with no playbook, no demo library, and no team.
- You have killed a deal on technical grounds, against sales pressure, and you can explain why you were right.

Strongly preferred

- 5 to 12 years in sales engineering, solutions consulting, or forward-deployed engineering
- Insurance, private credit, or asset management specifically
- Hands-on ability to build a prototype or manipulate data rather than only presenting
- Deployments into a client's own cloud (GCP especially), on-prem, or VPC-isolated environments
- Experience in a services-plus-product model rather than pure SaaS
- Early-stage or first-SE experience

## About Obin AI

## Company Overview
- **One-liner**: Obin AI builds production-grade AI agents that automate complex workflows for regulated financial institutions, enabling them to scale capacity without adding headcount.
- **Entity Type**: Private (seed stage)
- **Headquarters**: New York, United States
- **Founded**: 2025
- **Founders**: Apoorv Saxena (CEO, Co-founder) and Dr. Valliappa "Lak" Lakshmanan (CTO, Co-founder)

## Core Business
- **Primary industry**: Enterprise AI for financial services (asset management, wealth management, insurance, underwriting, portfolio monitoring, origination, claims)
- **Target customers**: B2B – large financial institutions (top-tier banks, asset managers, insurers)
- **Mission**: "Expand institutional capacity without expanding headcount, enabling financial institutions to deploy capital faster, price risk more precisely, and operate with real-time insight that was previously impossible." [obin.ai/about](https://www.obin.ai/about)

## Products & Services
- **Obin Agentic Platform**: End-to-end platform to reimagine, build, and manage production-grade AI agents inside a client’s own environment. Modular, governed, and composable.
- **Robin Agents**: Regulated AI agents trained on domain expertise to execute complex financial workflows (underwriting, due diligence, IC memo creation, wealth advisor enablement, claims processing) with full traceability and auditability.
- **Obin Financial Agent for Gemini Enterprise**: A pre-built agent available on Google Cloud’s Gemini Enterprise for Financial Services, already in production at a major U.S. life insurer and a private credit fund. [obin.ai/post](https://obin.ai/post/obin-ai-emerges-from-stealth)

## Market Standing
- **Valuation**: Not publicly available (seed stage)
- **Total Funding**: Seed round led by Motive Partners (amount undisclosed)
- **Notable Investors/Partners**: Motive Partners (lead), angel advisors Dr. Fei‑Fei Li and Lukasz Kaiser; partner with Google Cloud (Gemini Enterprise for Financial Services)
- **Growth Signals**:
  - Engagements with institutions managing over $1 trillion in assets
  - Deployments move from pilot to production in weeks
  - 18 employees (as of 2025) [builtin.com](https://builtin.com/company/obin-ai)
  - Already live in top‑three global financial institutions

## Competitive Advantages
- **Finance‑first engineering**: Built by alumni of JPMorgan, Goldman Sachs, Silver Lake, Google – deep domain expertise in both AI and regulated finance.
- **Governance by design**: Every agent output is traceable, auditable, and reversible; role‑based permissions and built‑in fail‑safes satisfy compliance teams.
- **Open architecture**: Transparent, modular design that runs inside the client’s environment – client owns data, models, and IP.
- **Edge‑case mastery**: Agents are trained on the exceptions and nuance that define financial workflows, not just routine 80% tasks.

## Strategic Focus
- Deepen deployments with existing clients and expand to the next tier of global financial institutions.
- Continue to build the platform’s compounding learning effect – when one institution solves a workflow, the architecture improves for all.
- Scale the agentic workforce across asset management, wealth management, and insurance verticals.

## Why Work Here
- **Culture**: Early‑stage startup (seed) tackling hard, production‑grade AI problems for high‑stakes environments. Emphasis on judgment, governance, and speed.
- **Work policy**: Hybrid – 4 days per week in the New York office. [obin.ai/careers](https://www.obin.ai/careers)
- **Team**: Advised by Dr. Fei‑Fei Li and Lukasz Kaiser; founded by former Google AI and JPMorgan executives.
- **Perks**: Not explicitly listed, but the engineering culture emphasizes building production systems that financial institutions can trust – a rare combination of AI research and institutional rigor.

## Sources
1. [obin.ai – About page](https://www.obin.ai/about)
2. [obin.ai – Careers page](https://www.obin.ai/careers)
3. [obin.ai – Homepage](https://www.obin.ai/)
4. [obin.ai – Stealth announcement & news](https://obin.ai/post/obin-ai-emerges-from-stealth)
5. [builtin.com – Obin AI profile](https://builtin.com/company/obin-ai)

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