AI Deployment Strategist - Sustainability
Auquan
Auquan 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.
We’re a Series A company defining a new category: agentic AI for institutional workflows. Today, 40% of the world’s top 50 financial institutions use Auquan.
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 Strategist with a focus on Sustainability to build new products directly from real client problems.
This is not a traditional solutions or implementation role.
You will:
- Work directly with senior sustainability 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.
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 clients, 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 Auquan builds next
Must-haves
- 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
- Experience in ESG/Sustainability, e.g. as a consultant, or in-house at a financial services firm or corporate
Nice-to-haves
- 4-8+ years of B2B enterprise product experience, fintech and applied AI preferred
- Experience in financial services workflows (credit, investing, research, monitoring)
- Experience with LLM tooling (OpenAI, Claude, LangChain, etc.)
You may be a fit if you’ve held roles like
- Consultant, especially one who built products, not just delivered projects
- Analyst / investor who transitioned into building tools or automation
- Founding Product Manager or early product hire
- AI Product Manager
- Forward Deployed Engineer / Forward Deployed Product
- Solutions Engineer / Solutions Architect (with product ownership)
- Startup Founder or early operator (product-focused)
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 support you both inside and outside of work:
- 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
- Equity: Meaningful stock options so you share in our growth
- Time Off: Flexible PTO
- Health & Wellbeing: Private Medical Insurance (UK)
- Retirement: Pension
Benefits
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