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. And with our platform and expert services we can deliver, fast; our clients have seen the time to production reduced from 18 months to 6 or less. 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 dedicated net-new seller. Today our revenue comes from a small number of very large relationships that our founders opened. Your job is to build the next set. You will originate and close new logos at banks, insurance carriers, asset managers, and alternative managers. Deals are seven and eight figures in total contract value, sold to buying committees that include a business owner, a CIO, model risk, third-party risk, InfoSec, legal, and procurement. Who you work with • The founders. Apoorv and Lak still open doors and still sit in rooms. Use them. • A sales engineer , who validates the ROI hypothesis against real client data before we commit to a build. • Domain experts — practitioners in insurance, credit, and real estate who make the pitch land with the people who will actually use the agent. • Forward-deployed engineers and PMs , who scope what you sell and then go build it. • Partner channels , including our Google Cloud relationship and Marketplace listing. What success looks like 90 days: A working target account list, first meetings booked, and at least two qualified opportunities you sourced yourself. 6 months: A pipeline that covers your number with deals you originated. First closed-won. 12 months: A repeatable motion that a second AE could run. What we are looking for Must have • A number you have personally carried and hit. Enterprise quota, seven-figure deals, and a quarter you missed that you can discuss honestly. • Net-New Logo Sales You’re a builder that originates new deals, and can do so with little support or inbound. • Sold into financial institutions. Banks, insurers, or asset managers. You know what compliance, model risk, and procurement do to a timeline. • Committee selling. You’re an expert at navigating multi-threaded, multi-stakeholder a deals at large global enterprises. • Comfortable without a brand. Evangelizing new technology and working with limited brand recognition is exciting, not scary. Strongly preferred • 7 to 15 years in enterprise software or services sales • Insurance, private credit, or asset management domain experience specifically • Enough fluency in AI architecture, security, and governance to be credible with technology and risk leaders • Early-stage experience, or a track record as a first or early sales hire • Experience selling services-plus-product rather than pure subscription • Experience selling with or through a hyperscaler Compensation: 160-200K Base/ 360-400K OTE, uncapped, OTE, plus equity.

Requirements

Must-haves

You are our first dedicated net-new seller. Today our revenue comes from a small number of very large relationships that our founders opened. Your job is to build the next set.
Who you work with
The founders. Apoorv and Lak still open doors and still sit in rooms. Use them.
A sales engineer , who validates the ROI hypothesis against real client data before we commit to a build.
Domain experts — practitioners in insurance, credit, and real estate who make the pitch land with the people who will actually use the agent.
Forward-deployed engineers and PMs , who scope what you sell and then go build it.
Partner channels , including our Google Cloud relationship and Marketplace listing.
What success looks like
90 days: A working target account list, first meetings booked, and at least two qualified opportunities you sourced yourself.
6 months: A pipeline that covers your number with deals you originated. First closed-won.
12 months: A repeatable motion that a second AE could run.
What we are looking for
A number you have personally carried and hit. Enterprise quota, seven-figure deals, and a quarter you missed that you can discuss honestly.
Net-New Logo Sales You’re a builder that originates new deals, and can do so with little support or inbound.
Sold into financial institutions. Banks, insurers, or asset managers. You know what compliance, model risk, and procurement do to a timeline.
Committee selling. You’re an expert at navigating multi-threaded, multi-stakeholder a deals at large global enterprises.
Comfortable without a brand. Evangelizing new technology and working with limited brand recognition is exciting, not scary.
7 to 15 years in enterprise software or services sales
Insurance, private credit, or asset management domain experience specifically
Enough fluency in AI architecture, security, and governance to be credible with technology and risk leaders
Early-stage experience, or a track record as a first or early sales hire
Experience selling services-plus-product rather than pure subscription
Experience selling with or through a hyperscaler

Nice-to-haves

Strongly preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

Platform: gem
Effort: medium