Auquan · 1 day ago
Head of AI Deployments
New York, NY
Full-time
Hybrid
Director/Executive
$200K/yr - $300K/yr
10+ years expAuquan is a company that develops autonomous AI agents for financial institutions, aiming to eliminate manual processes and enhance decision-making. The Head of Outcome Engineering will lead the team responsible for automating complex workflows in financial services, ensuring successful deployments and building a scalable function that drives commercial impact.
AnalyticsArtificial Intelligence (AI)Big DataFinanceFinancial ServicesFinTechMachine LearningSoftware
Responsibilities
Build and Scale the Outcome Engineering Function
Hire the first cohort of Senior OEs and establish the core operating model of the team
Design and run the Auquan OE Academy: a structured program to train high-potential talent from finance or AI backgrounds into full-stack workflow engineers
Define the OE career ladder, operating principles, technical standards, and delivery playbooks
Deliver World-Class Workflow Automation for Clients
Shadow analysts and map messy workflows
Design multi-step agent logic (prompts, chaining, evals, error paths)
Ship production-grade workflows in weeks, not months
Ensure every workflow includes evals, audit trails, and logic transparency
Ensure Repeatability and Productisation
Build the mechanisms that turn client-specific workflows into reusable primitives, components, and SKUs in the core Auquan platform
Establish standards for what becomes 'product,' what stays 'configuration,' and what is never built as bespoke
Drive a predictable feedback loop with Product & Engineering to accelerate roadmap development
Build central libraries for reusable modules (e.g., covenant analysis, EBITDA adjustments, risk signals)
Ensure OEs aren’t rebuilding the wheel for each client
Partner with Sales to Drive Expansion
Co-own account expansion outcomes: identifying adjacent teams, new workflows, and new regions where Auquan agents can deliver value
Reduce time-to-value for new deployments and accelerate commercial adoption
Build trusted relationships with senior client stakeholders (MDs, Heads of Credit, CIOs, COOs)
Drive OE-touched accounts toward 140–150%+ NRR
Maintain strong delivery economics, balancing speed, quality, and reusability
Ensure the OE function grows in leverage, not one-to-one with revenue
Create capacity planning, utilisation models, and repeatable delivery frameworks that support high-growth enterprise scale
Knowing when to say 'no' or re-scope overpromised work
Qualification
Required
10+ years in a hybrid role across finance, AI, product, or forward-deployed/solutions teams
Experience in at least two of the following domains, and exposure to all three: Financial Workflows, AI / Technical Workflow Engineering, Client-Facing Enterprise Delivery
Prior experience in private credit, PE, asset management, investment research, portfolio monitoring, or credit analytics
Ability to understand and validate logic in credit memos, IC decks, monitoring packs, risk frameworks, KPIs, and underwriting models
Experience designing or supervising multi-step LLM workflows, prompt chains, eval design, error-handling strategies, and structured output pipelines
Comfortable guiding non-engineers to build high-quality prototypes in Python, SQL, or low-code platforms
Led teams delivering complex, cross-functional deployments at financial institutions or highly regulated enterprises
Skilled in stakeholder management, discovery, requirements shaping, success metrics, and escalations
Able to mentor OEs on financial logic, AI workflow design, and structured evaluation
Balances 'client value tomorrow' with 'platform scalability next quarter.'
Comfortable being a player-coach early, then scaling into organisational design and leadership
Naturally sees expansion pathways and understands the economic drivers of high-NRR enterprise SaaS
Strong instincts for process, repeatability, and margin discipline — but only when the time is right
Credible with Heads of Credit, Partners, CIOs, and CTOs; trusted as a thought partner
Company
Auquan
AI Agents to eliminate manual grunt work in finance
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$9.22MKey Investors
SurgeNeotribe VenturesFinTech Sandbox
2024-10-22Seed· $4.5M
2023-10-18Seed· $3.5M
2022-02-10Seed
Leadership Team
Chandini Jain
Founder/CEO
Recent News
GlobalFinTechSeries
2025-09-18
Company data provided by crunchbase