Technical Marketing Director, Domino Data Lab
$194-240k
Enterprise AI platform
Job no longer available
Enterprise AI platform
201-500 employees
Job no longer available
$194-240k
201-500 employees
Company mission
To unleash AI to address the world's most important challenges.
Role
Who you are
- 7+ years of experience in technical marketing, product marketing, sales engineering or a similar role
- Relevant experience in AI/ML, model ops, big data, analytics technologies marketing to technical personas
- Technical proficiency in AI, machine learning, MLOps, and data engineering is essential. Should be comfortable translating complex technical concepts as clear and compelling content to the technical audience. Knowledge of programming languages like Python, R is required. Should be comfortable and hands-on with open-source and ML tools
- Solid experience building technical product content such as white papers, demos, code samples, videos, training sessions, architecture overviews, technical blogs, webinars, and more, delivering ‘art of the possible’ content
- Excellent written and verbal communication skills are crucial as this role involves creating content and presenting complex technical concepts in simple, understandable terms, including in videos
- Collaborate cross-functionally with engineers, marketing, sales, and other teams and manage multiple projects at once. Brings new ideas and initiatives across the company for this function
- Stay up-to-date with the latest trends and advancements in a rapidly evolving AI space, as a continual learner, and be able to educate internal stakeholders and the market on those trends
What the job involves
- Our Product Marketing team at Domino serves as the beacon for the customer's perspective and leads the charge in articulating Domino's narrative
- We define and mold our marketing initiatives, fueled by ambitious objectives to enhance our go-to-market triumphs and outperform in the competitive landscape
- The team's responsibilities include the creation and execution of compelling positioning strategies, persuasive messaging content, and establishing thought leadership
- Our aim is to empower our sales representatives and partners to secure more contracts with greater efficiency
- Understand and articulate the platform functionalities and technical aspects, along with its differentiating factors and potential use cases for the market to understand and appreciate Domino’s technical superiority relative to competition, with clear and compelling technical content highlighting what’s possible with Domino
- Market intelligence: Provide the technical know-how of key market trends, new ecosystem developments and guide positioning of Domino in light of those
- High conversion integrated campaigns with quality middle-funnel and bottom-funnel assets educating our technical audience
- Deliver a steady stream of technical content such as labs, demos, videos, blogs, training, webinars and more to educate our data scientist users and prospects about what’s possible with the Domino platform
- Established differentiated thought leadership around trends in AI – such as Generative AI and Responsible AI - targeting practitioners
- Partner with product and engineering and support our product launches with technical collateral, and sales enablement as well as guide the product roadmap
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 he end of 2026, Domino Data Lab is 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.
Thomas Robinson
(COO)Thomas joined Domino in 2016 as CPO, moving into the role of VP of Strategi Partnerships & Corporate Development in 2020 and then into the role of COO in 2022. Previously, he spent 10 years at Bridgewater Associated in various roles, including Director of Engineer and GM of Tech Talent Transformation.
Tom Gleason
(CFO)Prior to joining Domino in 2021, Tom was a VP of Finance & Strategy at Avalara. Before that, he spent 9 years at Tableau Software in various roles, including Director of Financial Planning & Analysis and VP of Finance.
Thomas Been
(CMO)Prior to joining Domino in 2023, Thomas was a CMO at DataStax and Druva. He also spent nearly 15 years at TIBCO Software in various roles, including VP of Product Management and CMO.
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