We're expanding our Engineering team and are looking for a Sr Data Scientist with solid experience in building data-intensive models and applications. This engineer will will lead the AI & DS strategy at MadKudu for the years to come.
We're looking for someone passionate, smart, and creative who's above all not afraid of technical challenges!
If this sounds like you, then apply today! We can't wait to get to know you!
Your mission
MadKudu plays in the AI space for B2B. Innovative, actionable, high-quality data science has led MadKudu to partner with terrific companies like Figma, Shopify, MongoDB… Your mission will be to spearhead the AI innovation at MadKudu in order to increase our lead over the competition. We have an inspiring & ambitious product roadmap, we need you to turn vision into implementations ;-)
Why this mission is very important
Our AI informs go-to-market decisions at 100 companies, we influence how businesses spend millions of marketing and sales budgets. This mission matters to MadKudu but more importantly to all its customers!
What does Engineering at MadKudu look like?
We're growing fast but we're still a human-sized company (50 people) which means you're joining a rocket ship right before liftoff ⚡️
We're across two continents and countries but the Engineering Team is located in Paris. Joining the team, you'll have the opportunity to grow alongside your colleagues and learn new things every single day.
We've built our application using Node.js, Python and AWS services and are constantly improving our stack to match our needs. We're big proponents of technology choices that maximize ownership, flexibility, and asynchronous work (continuous delivery, microservices, infrastructure-as-code).
We're working with some amazing customers, including some that you probably already know as an engineer: MongoDB, LucidChart, etc.
What success looks like
- We're a data science company from inception (our founders, Sam & Francis, are massive data nerds). Your mission is to continue in their footsteps to keep MadKudu on the winning side:
- Automation: building network effects is a critical component that allows MadKudu to scale. You will be in charge of training “AutoEverything”, our engine to automate customer onboarding, monitoring, and improvement. This will accelerate time to value as well so our customers start seeing success faster and more easily.
- Copilots: building Copilot AIs that are used by sales to automate their tedious tasks (research, qualification…) as well as by marketers to run the data analyses they need to make decisions (what is my ideal customer profile?…). Your AI drives copilots that are used daily by thousands of users.
- Differentiation: contributing to research that deepens MadKudu moat. This is critical in Startupland. The network effects should be reinforced by the platform to ensure each new customer onboarding is made easier by all the previous and the proprietary knowledge accumulated sets MadKudu apart.
- Professional English proficiency (as we're an American company 🇺🇸)
- Passion for creating value for customers and users
- Expertise in ML/DS/AI: you must definitely be the best of us
- 4+ years of experience in data science
- Good coding skills (not necessarily production-grade code)
- Hacker mindset & experience: you are able to prototype very quickly to test ideas
- Interest in data engineering (data modeling and processing, streaming, queues, ETLs, etc.), for having productive conversations with back-end engineers
- Team spirit (supporting others, giving candid feedback, wanting to help,...)
- Experience working with startups, particularly in SaaS
- Experience deploying and monitoring production applications to AWS
- Experience with node.js / Typescript
- Experience with Apache Airflow
- Deep knowledge of even-toed ungulates
Founded in 2015, MadKudu is focused on tackling one of the hardest challenges facing businesses today: relevance at scale. Today we help marketing & sales teams at B2B companies make the best decisions at every phase of the customer journey - smart forms that dynamically re-route high-potential leads to a 'fast lane,' real-time lead scoring to help prioritize the 20% of leads that generate 80% of revenue, and topical enrichment for outbound teams so they can focus on what they do best: helping companies who need their product get it faster.
Founders Sam Levan (CEO) & Francis Brero (CRO) have over 25 years of combined experience in the predictive analytics space, and are combining machine learning and an innovative methodology to help SaaS companies make the best decisions at every step of the customer funnel.
MadKudu is based in Mountain View, California & Paris, France - two places known for brilliant engineers, delicious wine and a love for the outdoors. We just closed our Series A of $18 million led by Felicis with participation from BGV, Alven, HarbourVest, Techstars and notable GTM and PLG experts like Elena Verna, former CMO at Miro, Darius Contractor, CPO at Vendr, or Sahil Mansuri, CEO of Bravado.
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