AI Deployment Strategist

About the company

ALFA builds autonomous AI agents that eliminate repetitive work across institutional finance. Our agents power workflows across credit, investment, ESG, and compliance for firms like MetLife, T. Rowe Price, BC Partners, and ERM.

Our constraint is no longer demand — it’s how quickly we can discover, build, and scale new products from real client workflows.

The Role

We’re hiring AI Deployment Strategists to build new products directly from real client problems.

This is not a traditional solutions or implementation role.

You will:

• 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.

Responsibilities

You will operate as part of a small 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

• 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

• You consistently turn client problems into new products

• You operate independently with strong judgment and ownership

• You help define what ALFA builds next

Requirements

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

Benefits

We are an office-first company and expect regular in-person collaboration as part of this role. You should also be comfortable collaborating across time zones (US, UK, India).

We offer a competitive package designed to reward strong performance and real impact:

• Base Salary: Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

• Performance Bonus: Target percentage of base, tied directly to measurable outcomes including client adoption, KPI impact, and expansion of deployed workflows

• Equity: Meaningful stock options so you share in our growth

Additional benefits:

• Time Off: Flexible PTO

• Health & Wellbeing: Private Medical Insurance (UK) 

• Retirement: Pension