Senior Manager of Solutions Engineering, Dataiku
East
$180-220k
Plus stock options
More information about location
1-5 days a week in office
Dataiku is The Universal AI Platform™.
Job no longer available
Dataiku is The Universal AI Platform™.
1001+ employees
Job no longer available
$180-220k
Plus stock options
More information about location
1-5 days a week in office
1001+ employees
Company mission
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
Role
Who you are
- At least 6 years of experience in Solutions Engineering, ideally with enterprise software products, including 2+ years of people management experience
- Demonstrated success in leading technical teams, building high-performing groups, and driving customer success in complex, large-scale enterprise analytics deployments
- Hands-on experience with the application of AI, machine learning, and analytics solutions across various industries and business challenges
- Excellent communication, presentation, and public speaking skills, with the ability to engage with C-level executives and technical stakeholders alike
- Strong coaching, mentoring, and leadership skills, with a proven track record of developing talent and driving team performance
- Intellectual curiosity and a passion for the intersection of business and technology, with a track record of solving complex business challenges through technology
- Experience building and enabling high performing teams
- Geographic location on the East coast of the US
Desirable
- Familiarity with technologies such as SQL, NoSQL, Hadoop, Spark, cloud computing platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker)
- Proficiency in programming languages such as Python, R, and SQL
- Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, as well as orchestration tools like Kubeflow or Airflow
- Experience with the full machine learning lifecycle: feature engineering, model training, deployment, and scoring
- Familiarity with entire sales lifecycle, including leading technical resources through adoption
What the job involves
- As Senior Manager, Solutions Engineering at Dataiku, you will play a critical role in driving the success of our sales and customer success efforts, with a focus on delivering highly technical, customer-facing engagements across the sales and customer lifecycle
- You will lead, mentor, and grow a team of Sales Engineers and Customer Success Engineers across the East region, working closely with the sales leadership to strategize on opportunities, provide technical expertise, and ensure the successful adoption of Dataiku’s platform in service of customer retention and upsell
- Your leadership will empower the team to demonstrate the value of Dataiku to prospective customers and secure their confidence in our platform
- As a player-coach, you will balance the strategic oversight of team performance with active participation in high-profile opportunities, building strong internal relationships with sales, product management, customer success, and other cross-functional teams
- You will be responsible for ensuring excellence in execution while fostering a collaborative and innovative environment that attracts top talent, drives customer satisfaction, and evangelies our technology
- Serve as trusted technical advisor and the primary technical point of contact for sales leadership within the East region, aligning on sales strategy, providing technical insights, and communicating risks and opportunities in key customer engagements
- Partner with sales teams to understand customer business challenges and articulate the value of Dataiku’s AI and analytics solutions
- Engage directly with customers to lead technical discussions, demonstrate product value, and address concerns to drive adoption, retention, and satisfaction
- Lead and manage a high-performing team of Solutions Engineers and Customer Success Engineers, ensuring technical success throughout the entire sales process
- Foster an environment of continuous learning and improvement, enabling the team to scale with the business and meet evolving demands
- Build strong relationships with cross-functional teams including sales, product management, tech, marketing, and customer success, ensuring alignment between pre- and post-sales activities
- Provide feedback on product development and customer needs, helping to drive improvements in Dataiku’s platform
- Collaborate with Solutions Engineering and Technical Enablement leadership to refine success metrics and track the effectiveness of enablement programs and initiatives
- Support sales leadership in forecasting net new sales, upsells, and downsell, a process which includes documenting account retention risks
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 at Welcome to the Jungle
Meet the team
Lyanna, Data Scientist
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $847.6m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost 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. We've 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
- ➔ 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
125 West 25th Street, 7th Floor, New York, NY 10001, USA
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
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Diversity, Equity & Inclusion at Dataiku
- 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.
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