Senior Sales Engineer, Dataiku
East
$150-190k
Collaborative data science platform
Open for applications
Collaborative data science platform
1001+ employees
Open for applications
$150-190k
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- Strong natural and intellectual curiosity, especially around being able to map business problems to systems that leverage machine learning
- Proficiency in programming languages (Python, R, SQL, Java, etc..)
- Adherence to version control (Git)
- Proven record of projects in data science/machine learning using various algorithms (supervised, semi-supervised, unsupervised, classical, and deep learning approaches)
- Experience with cloud data storage and services (AWS, Azure, GCP)
- Understanding of the machine learning lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
- Hands on experience with computational resources and frameworks (containerization, Kubernetes, Spark)
- Knowledge of Kubeflow, Airflow, or other orchestration tools
- Experience in technical pre-sales or consulting in a fast paced environment preferred but not required
- Excellent communication and presentation skills, and comfortable talking to all levels of customer teams, from individual contributors to C-level executives
What the job involves
- Drive sales of Dataiku by taking primary ownership of the technical relationship with our prospects to drive customer satisfaction by proactively managing and delivering technical information to our customers both onsite and remotely
- Be the expert that articulates Dataiku’s capabilities in the context of customer needs
- Qualify revenue opportunities through collaboration with the Account Executive (AE), the Sales Development Representative (SDR), and Sales management
- Drive engagements with prospective customers by becoming a trusted technical advisor and owning the customer’s success during the presales period
- Understand and uncover customer business/technical challenges and existing technology stack through discovery meetings
- Communicate Dataiku technical differentiation, integration points with existing customer technical ecosystem/workflows, and the technical value proposition
- Define usage scenarios that illustrate Dataiku’s value within the customer’s specific business cases, and articulate them to internal and external audiences
- Conduct and coordinate Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly demonstrate the business value articulated in the usage scenarios to prove that Dataiku delivers the needed value and ROI better than our competitors
- Coordinate company-wide resources to drive technical engagements forward and provide answers/guidance to customer’s questions
- Be the voice of the customer internally
- Collaborate cross-functionally with Product, Engineering, Marketing, and Customer Success to communicate prospective customer priorities
- Influence roadmap and GTM decisions, infusing prospective customer priorities into every decision we make
- Support and strategize with partner networks to expand Dataiku support within customers
- Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing / partners on webinars, events, and other activities specified by sales and sales engineering management
- Evangelize Dataiku and our vision. Become a recognized voice of the company and thought leader in the industry (spokesperson at events, meetups, active in communities/blogging)
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.5m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from anywhere policy that allows employees to work from their place of choice up to four weeks per year
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. Weʼve developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
Flatiron District, New York, NY
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Diversity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
Share this job
View 28 more jobs at Dataiku