Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.
In this role, you'll help the team:
- Drive sales of Dataiku to the US Federal Government 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
- 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
- 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
- Develop new demo assets tailored to the needs and priorities of prospective Federal customers
You may be a good fit for the team if you have:
- Demonstrated professional experience working with stakeholders in the public sector, with focus on on the US Federal Government
- Strong natural and intellectual curiosity, especially around being able to map business problems to systems that leverage machine learning
- Knowledge of the Federal procurement processes and experiencing responding to detailed RFPs.
- Awareness of Federal security standards including FISMA; NIST and FedRAMP
- Proven record of projects in data science/machine learning using various algorithms (supervised, semi-supervised, unsupervised, classical, and deep learning approaches)
- Experience with cloud platforms and services (AWS, Azure, GCP). Knowledge of government cloud platforms (AWS GovCloud; Azure Government; Google Cloud for Government) preferred.
Bonus points for any of these:
- Proficiency in programming languages (Python, R, SQL, Java, etc..)
- Knowledge of Version Control concepts and systems including Git
- 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
- Knowledge of Stream Processing concepts and services including Kafka and Amazon SQS
- Experience in technical pre-sales or consulting in a fast paced environment preferred but not required
- Ability to travel up to 40% of the time
- Geographic location in the DC Metro Area