--- title: 'Partnerships Lead at Gradient Labs' canonical: 'https://feeny.ai/job/partnerships-lead-gradient-labs-new-york-6x7xe9ftwryx' type: 'job' last_seen: '2026-09-07' --- # Partnerships Lead at Gradient Labs - **Company:** Gradient Labs - **Location:** New York, NY - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-31 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/gradient-labs/40b32b0b-f769-4ea1-9681-5e594dca6d68 ## 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 Braze and we're hiring our founding Partnerships Lead to join us either in London or NYC. We're growing fast and increasingly finding that our biggest unlocks come not just from direct sales, but from the ecosystem of technology and consulting partners that our customers already rely on. ## THE ROLE This is a foundational, individual-contributor role: you'll own the full partnerships function end to end, from managing and growing our existing relationships to proactively building new ones across a wide partner landscape: hyperscalers, core banking providers, global consultancies and systems integrators, boutique advisory firms, and BPOs. You'll be the first dedicated hire in this function, which means you'll be building the playbook as much as executing it: deciding which partner types deserve focus first, setting up how we track and report on partner-sourced/influenced pipeline, and establishing Gradient Labs' reputation as a serious, easy-to-work-with partner across financial services technology and advisory ecosystems. This role is scoped as an individual contributor today, with a clear path to hiring and leading a team as the partner motion proves out and scales. ## WHAT YOU'LL DO Manage and grow existing partnerships - Own the day-to-day relationships with our current technology and consulting partners, find mutually valuable expansion opportunities (new use cases, stakeholders, co-sell motions), and represent Gradient Labs in partner-facing forums and joint planning sessions. Build new partnerships proactively - Map, prioritise, and open up the partner landscape across: - Hyperscalers (AWS, Microsoft, Google Cloud) - Core banking and financial infrastructure providers (Fiserv, Jack Henry, FIS, Temenos, Mambu, 10x, and independent/regional providers) - Global consultancies and systems integrators (Deloitte and similar): influence relationships and joint go-to-market for large transformation programmes - Boutique advisory and consulting firms: trusted-advisor relationships that shape vendor selection, especially at mid-sized financial institutions - BPOs: partners who embed or resell our platform as part of broader operations offerings - Carry each relationship from cold outreach through to a structured partnership (referral, co-sell, technical integration, or reseller), negotiating and structuring partnership terms with legal, sales, and leadership. Build the function - Set up how we track and report on partnership impact (sourced and influenced pipeline, co-sell revenue), create repeatable playbooks by partner type, and make the case for hiring the team around you as the function matures. ## WHAT WE'RE LOOKING FOR - Track record: experience building or significantly growing a partnerships function, ideally at a B2B SaaS company selling into financial services or another regulated industry. - Range and drive: equally credible managing a hyperscaler alliance and courting a boutique advisory firm, with as much bias for cold outreach and starting relationships from scratch as for growing what already exists. - Commercial judgment: able to structure a partnership agreement, negotiate terms, and know when a partnership is worth pursuing vs. a distraction. - First-hire mindset: comfortable with ambiguity and building process where none exists. Excellent written and verbal communication, since you'll represent Gradient Labs externally to senior stakeholders at much larger organisations. ## WHY THIS ROLE, WHY NOW Financial services technology is increasingly bought through partners, not around them. Core banking providers, hyperscalers, and consultancies shape a huge share of vendor selection, especially outside the largest institutions. We've recently closed our Series A extension with backing from investors such as Redpoint, Octopus Ventures and CommerzVentures, and we have serious momentum. In this role you'll define how Gradient Labs shows up across the partner ecosystem, drive partner-sourced revenue as a core growth channel, and build the playbook from the ground up. ## 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. 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