Pre-Sales Engineer, Pathway
Real-time data analysis
Open for applications
Real-time data analysis
21-100 employees
Open for applications
21-100 employees
Company mission
To help software engineers to focus on developing code logic, without having to worry about the way data changes over time.
Role
Who you are
- Possesses 5+ years of experience in a technical sales or application engineering role
- Has a strong understanding of technical concepts and the ability to translate them into easy-to-understand language for non-technical audiences
- Demonstrates excellent communication and presentation skills, effectively conveying complex information in an engaging manner
- Thrives in a collaborative environment and enjoys working as part of a team
- Is a natural problem solver, with a passion for helping others achieve their goals
- Can navigate different cultures easily
- Maintains a high degree of integrity and trustworthiness
What the job involves
- In this role, you'll play a pivotal role in our customer journey, acting as a trusted advisor and technical expert
- You'll partner with our sales team to support existing deals and empower customers to make informed decisions about our solutions
- Deep Dives with Customers: You'll collaborate with potential customers to understand their specific needs and challenges
- Through technical discussions, you'll guide them through the decision-making process, explaining how Pathway addresses their unique requirements
- Installation Expertise: You'll be the go-to person for all things installation. Prepare customers for the implementation process by walking them through security considerations, pipeline setup, and any other technical aspects
- Building Trust and Relationships: Developing strong rapport with customers is key. You'll foster trust by being empathetic, likable, and demonstrating a genuine interest in their success
- Knowledge Powerhouse: You'll stay up-to-date on our solutions and industry trends, ensuring you can confidently answer technical questions customers might have
Application process
- To assess your technical expertise and customer-centric approach, we'll conduct interviews where you'll take on the role of a customer
- We'll present you with a technical scenario and ask you to walk us through the decision-making process for our solution
Our take
Machine learning has immense implications for reporting when used on data held by a company, but despite its speed, accuracy and thoroughness it can't currently be applied to incoming data. Put simply, the infrastructure to make this possible is missing, and without this, it's impossible to analyse data in real-time.
Pathway seeks to fix this, providing a streaming data processing layer which is capable of transforming complex, raw events data streams in real-time, allowing enterprises to derive insights in real-time. Reducing latency by over 900x compared to traditional means of data cleansing and transformation, it is currently used in logistics operations by companies such as DB Schenker and La Poste but has applications in financial fraud detection, marketing and IoT usage tracking, among many others.
Founded by women, the company is something of a rarity in the male-dominated European deep tech space, and the Pathway's founders are something of a role model for female engineers. This has only strengthened the founders' resolve to succeed, and with an innovative product meeting a pressing business need, Pathway is poised to achieve this.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Dec 2022
$4.5m
SEED
Total funding: $4.5m
Company benefits
- Intellectually stimulating work environment. Be a pioneer: you get to work with a new type of data processing framework
- Work in one of the hottest data/AI startups in France, with exciting career prospects
- Responsibilities and ability to make significant contribution to the company’ success
- Inclusive workplace culture
Company HQ
Clichy, France
Leadership
Zuzanna Stamirowska
(CEO)Previously Co-Chair of the Logistics and Supply Chain Working Group for AIOTI, a spin-off of the European Commission. Before that, they were a PhD Researcher at Université Panthéon-Sorbonne and a Senior Sales Manager for Sphere Research Labs.
Claire Nouet
(COO)Previously an Analyst at Veolia, a Parliamentary Assistant for the French National Assembly, and a Legal Assistant with Thales.
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