Account Executive, Domino Data Lab
FSI
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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
What the job involves
- The mission of the FSI Sales team is to position Domino as the single platform for data science across the enterprise and to support Domino’s expansion into the FSI vertical
- Our main focus will be to meet senior leaders, uncover opportunities and complete a successful sales cycle. You will help Domino execute better at enterprise-level selling and to engage more senior stakeholders across Business & IT
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
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