Senior Financial Analyst, Domino Data Lab
$150-180k
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
$150-180k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- Demonstrated FP&A experience in a SaaS environment
- Familiarity with planning tools (Anaplan preferred)
- Strong financial modeling skills using Excel and Google Sheets
- Deep understanding of SaaS and deal metrics (ARR, TCV, co-terming, stub periods, etc.)
- Experience collaborating across functions (Sales, Product, Finance, Legal)
- Quick learner with a tenacious work ethic and strong sense of ownership
- Customer service mindset with strong communication and interpersonal skills
- Proven ability to coordinate across teams, resolve conflicts, and drive consensus
- Process-oriented: able to build new processes and improve existing ones
- Proficient in Salesforce, Google Suite, and DocuSign (including redlining/editing documents)
What the job involves
- The Finance Team at Domino is a small and nimble team empowering Sales, Marketing, R&D and Customer Success to deliver high quality software to our complex customer base.
- We are looking for an experienced individual that thrives on providing excellent support to the sales, product, finance and legal teams. We are looking for an agile, problem solver to support a small team with far reaching impacts to the broader business
- Maintain the financial model for the company and perform regular forecast updates in collaboration with different leaders from around the company
- Administer and design all GTM compensation plans for the company including Sales, Professional Services and Customer Success
- Emerge as a consistent, responsive voice of our deal desk function
- Evaluate and improve existing processes as needed
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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