Enterprise Account Executive
New York, NYFull-time$140–160K/yrSeen 2mo agoStill listed today
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At a glance
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Job overview
Gradient Labs seeks an Enterprise Account Executive to shape sales strategy, own the full sales cycle, build C‑suite relationships, and evangelize AI‑powered customer operations for financial services clients, collaborating closely with AI Delivery and product teams.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
At Gradient Labs, we're building the AI customer operations platform for financial services.
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 Google, Braze, Klaviyo, and Zendesk. 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 You'll be early enough to shape how we sell, not inherit a polished playbook.
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Have an entrepreneurial mindset and run your business with that mentality. Own the full cycle. Generate your own pipeline, run thoughtful discovery, diagnose and tailor solutions across complex organizations. You'll lead with our AI support platform and bring back-office work into the conversation when it's the right time for the customer.
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Partner closely with AI Delivery. Selling here is a team sport. Our AI Delivery team gets customers live and helps them go deeper over time, and you'll work hand in hand with them through every cycle.
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Build relationships at the top. You'll sit across the table from C-suite and senior ops or product leaders at some of the most forward-thinking businesses in financial services. These are the people driving real operational change inside their organizations, and you'll work alongside them as a trusted advisor on the realities of running customer operations in a regulated environment.
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Define the motion. You'll co-build the sales process, qualification, and account strategy with our Head of GTM and the team. You’ll build our pipeline from scratch in a market where we're still a relatively unknown name, using cold outbound, industry events, and creative engagement like dinners, happy hours and direct mail. What works becomes how we sell.
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Be a product evangelist. Together, we’ll build our brand presence in a market where we’re not yet a household name. You'll deliver live demos, tailored decks, and a clear point of view on AI customer operations in every conversation. Your insights flow straight back to product and engineering.
💡 What you’ll bring
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Has 5–7+ years of enterprise B2B SaaS sales experience, including complex end-to-end deals at six- and seven-figure ACV. Bonus if you've sold an AI product, or into financial services or fintech.
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Runs on a genuine hustle instinct. You build your own pipeline rather than relying on inbound, and you have a proven track record of being creative about how you get in front of prospects.
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Leads with an entrepreneurial, high-agency mindset. You’re comfortable with ambiguity, keen to experiment, test a hypothesis, and iterate rather than follow an established playbook.
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Has built C-suite relationships and runs consultative, value-based sales motions.
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Knows the AI agent space well enough to hold their own with a curious CTO. You have the technical aptitude and charisma to evangelise a sophisticated AI product and tell a compelling story to prospects.
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Has strong organisational skills. You can run a rigorous sales process, manage multiple stakeholders, and communicate clearly and proactively.
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Excited about using AI inside our own sales motion, and comfortable with the rapid pace at which the AI space keeps changing.
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 🧡
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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
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$140k - $160k base salary ($280k - $320k OTE) + equity
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Private medical & dental insurance
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25 days paid time off
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Team socials and offsites
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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
How this job compares
Set against the 554 open Enterprise Account Executive jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$140–160K/yr
- New York median$163–251K/yr114 salary ranges
- US median$150–190K/yr433 salary ranges
This range's midpoint, $150K, is 32% below the New York median midpoint ($221K) — in the middle half of Enterprise Account Executive salary ranges in New York.
- Openings
- Olive Jobs lists 158 open Enterprise Account Executive jobs in New York and 554 across the US. 28% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- salesforce.com, inc.5 open
- Uber5 open
- PermitFlow4 open
- Experience
- This posting asks for at least 5 years of experience; Enterprise Account Executive postings that state a minimum ask for 5 years at the median (501 postings).
- Education
- 89 of the 554 open Enterprise Account Executive jobs (16%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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