---
title: 'Senior AI Product Delivery Lead at Gradient Labs'
canonical: 'https://feeny.ai/job/senior-ai-product-delivery-lead-gradient-labs-new-york-at8hkh34ggf2'
type: 'job'
last_seen: '2026-09-14'
---

# Senior AI Product Delivery Lead at Gradient Labs

- **Company:** Gradient Labs
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-27
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/gradient-labs/451154da-e27f-4c9c-911f-324aee563b2e/application

**Skills:** APIs, Integrations, Omni, BigQuery

> Leads end-to-end delivery and integration of AI platforms for enterprise customers, managing projects from discovery through implementation. Acts as the primary technical interface, ensuring measurable business outcomes while collaborating with internal engineering and sales teams.

## Job description

At Gradient Labs, we're building the AI customer operations platform for financial services.

Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations. Together, they give product and operations teams the visibility and control to trust every outcome.

We're a team of builders from companies like Monzo, Wise, Mastercard, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you.

🎯 How you’ll make an impact As an AI Product Delivery Lead, you’ll be responsible for helping enterprise customers achieve real, measurable results through automation. You’ll scope and lead end-to-end projects that embed our platform deeply into their operations and drive strategic outcomes that matter.

- Own the end-to-end delivery and integration of our AI platform into customer environments, setting the project plan and ensuring a high-quality outcome.
- Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.
- Guide customers in tailoring and optimising our AI agent capabilities to solve unique operational challenges and maximise end-user resolution rates.
- Proactively analyse performance data to track AI effectiveness, drive continuous improvement, and ensure customers realise measurable value (e.g., deflection, quality, CSAT).
- Serve as the primary technical interface for customers during pre-sales, assisting with POCs, legal/security due diligence, and managing the seamless transition from trial to implementation.
- Collaborate closely with internal AI, Engineering, and Sales teams, acting as the "voice of the customer" to provide strategic feedback that shapes the product roadmap.
- Establish scalable, high-quality onboarding and implementation processes that set all customers up for long-term success.
- Manage project risks and governance related to AI deployment, ensuring all solutions meet compliance, security, and responsible AI standards.

💡 What you’ll bring

- Proven Tech Delivery: Experience in forward-deployed, customer-facing roles at high-growth tech companies.
- Results-Driven Ownership: Proven ability to own and deliver complex, multi-stakeholder projects end-to-end.
- Structured Adaptability: Thrives in ambiguity, proactively creating structure and driving clarity where none exists.
- Technical Acumen: Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams.
- Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery…) to surface insights and guide decisions.
- Clear Communication: Communicates clearly and confidently across all audiences,internal and external, including technical teams and senior leadership.
- Customer-Centric: Deeply customer-obsessed, driven by delivering real, measurable business outcomes and value.
- Pragmatic Problem Solver: Entrepreneurial mindset used to find creative, pragmatic solutions balancing goals with feasibility.

Why join Gradient Labs? This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation. You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking.

## Benefits & Logistics 🧡

- We’re still at early stages of building out our compensation bandings, whilst we continue to shape this, we’re open to chatting with people who have a range of salary requirements
- Our compensation package has two key components - $200k - $250k base salary & meaningful equity
- Private medical & dental insurance
- 25 days paid time off
- Team socials and offsites
- Flexible working - we have an office in New York City and a hybrid working approach, ideally you'd be able to come into the office once per week

## About Gradient Labs

## Company Overview
- **One-liner**: Gradient Labs builds AI-native customer operations agents that automate complex, regulated workflows for financial services.
- **Entity Type**: Private (Series A, $13 M led by Redpoint in 2025; total funding $26 M per website, $16.6 M per LinkedIn)
- **Headquarters**: London, United Kingdom
- **Founded**: 2023
- **Founders**: Dimitri Masin (CEO), Neal Lathia (CTO), Danai Antoniou (Chief Scientist) – all former leaders at Monzo

## Core Business
- **Primary industry**: AI‑powered customer operations for financial services (fintech, banking, lending, insurance)
- **Target customers**: B2B / Enterprise – financial institutions, neobanks, fintechs (e.g., Yonder, Plum, Sling Money, Nala, Penfold, Zego)
- **Mission**: Deliver exceptional, compliant customer service at scale by automating the most complex operational workflows in regulated industries.

## Products & Services
- **AI Agent Suite**: A set of specialist agents for **Collections, Disputes, KYC/KYB, Onboarding, Customer Service, and Insurance Claims**. Each agent is purpose‑built for long‑running financial processes, runs 20+ guardrails per turn, and is pre‑configured with global regulatory compliance (FCA, CONC, Reg E/Z, PSD2, GDPR, EU AI Act).
- **Type**: SaaS / API‑first – integrates via API, CSV, or existing tools (e.g., CRM, core banking). Supports email, text, and voice channels. Multi‑model AI (OpenAI, Anthropic, Google) with enterprise‑grade security (SOC 2 Type 2, SSO, audit logs).

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding of **$26 M** (website) / **$16.6 M** (LinkedIn); annual revenue not public
- **Notable Investors/Partners**: Redpoint (Series A lead), LocalGlobe (Seed lead), plus 12+ additional investors
- **Growth Signals**: 
  - 40+ employees with 150 % YoY headcount growth (LinkedIn: 39 employees)
  - Reported 98 % CSAT, 32 M customers served, 80‑90 % automation rate in collections
  - Clients include notable UK fintechs; expanding into US market (open roles for US-based enterprise account executives)

## Competitive Advantages
- **Regulatory moat**: Provably compliant by design – 20+ guardrails on every interaction, pre‑configured for US, UK, and EU regulations (FCA, PSD2, GDPR, EU AI Act, Reg E/Z)
- **Enterprise readiness**: SOC 2 Type 2 certified, SSO, comprehensive audit logs, role‑based permissions
- **Multi‑model AI**: Pipeline uses latest from OpenAI, Anthropic, and Google – rapid model switching without service disruption
- **Learns from real operations**: Trained on SOPs and best human agents, not just help‑centre content – leads to human‑like conversations and 98 % CSAT

## Strategic Focus
- **Product expansion**: Deepening automation across the full customer operations lifecycle (collections, disputes, KYC, onboarding) and adding new use cases (insurance, KYB)
- **Geographic growth**: Targeting US financial institutions (active hiring for US enterprise sales) while maintaining strong UK/Europe roots
- **Platform vision**: Becoming the “operating system for customer operations” by connecting AI agents to core financial systems, not just help desks

## Why Work Here
- **Culture**: Remote‑first with weekly in‑person meetups in central London; founded by ex‑Monzo leaders who built world‑class ML and data teams
- **Work model**: Hybrid / remote across the UK; open to hiring across the UK and US (some roles fully remote)
- **Perks**: Competitive salary, significant equity, private medical insurance, 25 paid days off + 20 optional unpaid days, regular team socials
- **Engineering**: Strong ML‑first culture – technical team includes former Monzo data scientists; interview process includes a practical task and conversations with stakeholders (typically 4 stages)

## Sources
1. [gradient-labs.ai](https://gradient-labs.ai/)
2. [Gradient Labs Careers](https://jobs.ashbyhq.com/gradient-labs)
3. [Gradient Labs About](https://gradient-labs.ai/about)
4. [LinkedIn Company Page](https://www.linkedin.com/company/gradientlabs)

## Other roles at Gradient Labs

- [Lead Product Data Scientist](https://feeny.ai/job/lead-product-data-scientist-gradient-labs-london-c1snwvkt3v6w) — London, United Kingdom
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-gradient-labs-new-york-5b7nhxrvgdfa) — New York, NY
- [Staff Backend Engineer](https://feeny.ai/job/staff-backend-engineer-gradient-labs-london-c9k1v5mkw50g) — London, United Kingdom
- [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-gradient-labs-london-dpeyvbcrs0b0) — London, United Kingdom
- [Partnerships Lead](https://feeny.ai/job/partnerships-lead-gradient-labs-new-york-6x7xe9ftwryx) — New York, NY