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AI Deployment Specialist - Agentic AI InvestTech Startup

New York, London

Job Type

Full Time

Workspace

Referral Fee

Hybrid

$2,500

AI DEPLOYMENT SPECIALISTS needed at one of our Agentic AI Investment Technology STARTUP clients!!! Hybrid 3x per week in office in NYC or LONDON only. Base $125k - $175k in NYC and £90k – £130k in London plus 60% target bonus and EQUITY. Must have 4 - 8+ years of B2B enterprise product experience, fintech and applied AI preferred. Background in investment banking, private credit, private equity, asset management or consulting is ideal as well. Must have some experience with AI/LLMs and also client facing experience, handling discovery and scoping conversations.

Our client develops autonomous AI agents that eliminate the repetitive, manual work slowing down financial institutions. Their technology supports credit, investment, ESG, and compliance workflows for leading asset managers, PE firms and investment banks.

What You’ll Do:

Work directly with senior stakeholders at top financial institutions

Identify high-value, unsolved workflows

Rapidly turn those into MVP AI-powered products

Drive those products to real usage and measurable outcomes

You are a 0→1 product builder embedded in the customer environment, responsible for turning ambiguous workflows into real, deployed AI products.

Must-haves

4-8+ years of B2B enterprise product experience, fintech and applied AI preferred

Proven track record of building products from 0→1: discovery → MVP → iteration → real usage

Strong client presence with the ability to guide and influence senior stakeholder conversations

Hands-on GenAI fluency (LLMs, workflows, rapid prototyping)

Builder mindset: ships V1s in days, thrives in ambiguity, bias to action


Nice-to-haves

Experience in financial services workflows (credit, investing, research, monitoring)

Background in IB, private credit, PE, asset management, or consulting

Familiarity with financial data ecosystems (Bloomberg, FactSet, etc.)

Experience with LLM tooling (OpenAI, Claude, LangChain, etc.)


You may be a fit if you’ve held roles like

Founding Product Manager or early product hire

AI Product Manager

Forward Deployed Engineer / Forward Deployed Product

Solutions Engineer / Solutions Architect (with product ownership)

Technical Consultant who built products, not just delivered projects

Startup Founder or early operator (product-focused)

Financial analyst / investor who transitioned into building tools or automation

You will operate as part of a small Outcome Pod, embedded directly with clients and responsible for end-to-end outcomes. You will own delivery and outcomes for your client, and help define best practices, quality standards, and product direction.

In practice, this means:

Owning a portfolio of enterprise financial clients and becoming their go-to partner

Running deep discovery: sitting inside workflows, shadowing analysts, joining working sessions

Understanding and mapping workflows end-to-end (e.g. credit reviews, investment research, portfolio monitoring)

Translating messy, ambiguous processes into structured, multi-step AI workflows

Rapidly building MVPs and prototypes; iterating directly with users

Working in lockstep with Product Engineers to ship usable capabilities weekly

Designing evaluation logic, edge cases, and correctness criteria

Driving adoption: ensuring clients can independently use what you build

Measuring success via real KPI movement and usage

Managing multi-threaded client engagements (business, security, procurement)

Expanding usage: identifying new use cases, teams, and opportunities

Converting workflows into reusable product components and feeding product direction

Work closely with vertical leads to align on what “good” looks like, while maintaining ownership of execution and client outcomes

You are accountable for outcomes, not output — success is defined by whether the client uses what you build and sees measurable impact.



What Success Looks Like

In your first 90 days:

You’ve identified and scoped new product opportunities

You’ve shipped at least one working MVP with real users

You’ve driven adoption and measurable impact

You’ve contributed reusable patterns to the product

Over time:

You consistently turn client problems into new products

You operate independently with strong judgment and ownership

You help define what the firm builds next


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