Domino Data Lab · 1 week ago
Account Executive, FSI
United States
Full-time
Remote
Senior Level
$300K/yr - $350K/yr
5+ years expDomino Data Lab is a software company that helps organizations build and operate advanced data science and AI solutions. The Account Executive for Financial Services Industry (FSI) will focus on enterprise-level selling, engaging senior stakeholders, and building a pipeline of new accounts in the financial services sector.
AnalyticsArtificial Intelligence (AI)Big DataData MiningEnterprise ApplicationsEnterprise SoftwareMachine LearningSoftware
Responsibilities
Build and manage a pipeline of 3-4x quota focused entirely on net-new FSI accounts, with particular emphasis on mid-market to enterprise financial institutions ($500M-$10B+ in assets/revenue)
Conduct deep account research and territory mapping to identify high-potential targets, understand their business challenges, technology stack, and competitive landscape, then develop targeted outreach strategies
Execute multi-channel prospecting campaigns including personalized outreach, executive engagement, event-based selling, and creative approaches to break into accounts where you have no existing relationships
Lead complex sales cycles from first contact through close including discovery, solution positioning, proof of concept/pilot coordination, proposal development, negotiation, and contract execution across 4-6 concurrent opportunities
Pipeline generation metrics: Maintain 3-4x coverage with specific activity benchmarks such as 30+ meaningful executive conversations per quarter, 20+ qualified opportunities created annually, and 15%+ pipeline-to-close conversion rate
Sales cycle efficiency: Average time-to-close of 12-15 months (faster than typical FSI cycles), measured from first meaningful conversation to signed contract, demonstrating ability to accelerate complex deals
Navigate procurement, security, and legal reviews within large financial institutions, managing vendor questionnaires, security assessments, contract redlines, and compliance requirements that can extend cycles by months
Qualification
Required
5-10 years sales experience, preferably selling Enterprise platforms into Financial Services (banking, insurance, asset management)
Understanding of Advanced Analytics space/ecosystem
Proven track record of net-new logo acquisition, ideally having built territory from ground zero or expanded into new verticals
Background navigating highly regulated sales environments including procurement processes, security reviews, vendor risk assessments, and compliance requirements specific to financial institutions
Experience managing complex, multi-stakeholder sales cycles of 9-18 months involving C-suite, business unit leaders, and technical evaluators across risk, compliance, operations, or technology functions
History of selling in an underdog/challenger position - coming from a startup, scale-up, or smaller player ($10m - $50m ARR) where you had to out-hustle larger competitors and couldn't rely on brand name alone
Benefits
Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends
Company
Domino Data Lab
Domino Data Lab provides an enterprise platform designed to help organizations build, deploy, and manage AI and machine learning models.
201-500 employees
H1B Sponsorship
Domino Data Lab has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (6)
2023 (10)
2022 (7)
2021 (11)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$223.6MKey Investors
UBSSnowflake VenturesGreat Hill Partners
2025-08-21Series Unknown
2022-06-15Series F
2021-10-05Series F· $100M
Leadership Team
Nick Elprin
Co-Founder and CEO
Matthew Granade
Co-Founder
Recent News
Research & Development World
2025-12-03
2025-11-19
Company data provided by crunchbase