Customer Engineer, Vianai
$140-180k
AI/ML tools for enterprise
Open for applications
AI/ML tools for enterprise
21-100 employees
Open for applications
$140-180k
21-100 employees
Company mission
To empower millions to build machine learning applications.
Role
Who you are
- BS in Computer Science, Human Machine Interface Design, Human-Computer Interaction, or equivalent
- 3-5 years experience with application development using Python, HTML, CSS, JavaScript, React, and other industry standard languages and frameworks
- 3-5 years experience with backend and DBMS technology, including SQLserver, MySQL, Redis, Elastic, Kibana and RabbitMQ
- Experience with Kubernetes, docker micro-services, and cloud infrastructures (AWS, Azure, GCP)
- In-depth hands-on experience with industry standard frameworks like React or similar
- Good understanding of asynchronous request handling (Pub/Sub), threading and high performance enterprise systems
- Experience with RESTful APIs (JWT, FastAPI/Flask) and unit testing
- Curious about new technology, able to change quickly
Desirable
- MS in Computer Science or equivalent education/experience
- Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc
- Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning
What the job involves
- Collaborate with a diverse team of Designers, Developers, Engineers, Data Scientists both internally and with our customers
- Perform hands-on and in-depth investigations /debugging at all levels of our software stack
- Strong analytical and quantitative problem-solving ability
- Communicate and present at all levels in a clear and simple manner showing good relationship skills and being a strong team player
- Take leadership to pursue the best, state-of-the-art solutions, within the dynamic requirements and timelines
Otta's take
Theo Margolius
COO of Otta
Vianai has released what it describes as a human-centered AI platform, which currently consists of two tools: the Vian H+AI MLOps Platform, which helps enterprise clients deploy and manage more ML models at scale; and Dealtale, a no-code platform helping marketing and sales teams use data science. The former was released in 2022, and the latter was an acquisition made in the same year, so Vianai has been picking up its pace of growth recently.
This is good timing. The appetite for more AI/ML action among top-tier businesses is, broadly speaking, on the up. While Vianai is tight-lipped about its client base, but the competitive advantage of handling and acting upon big data means Vianai should be looking at a strong market.
AI and ML, however, are still fairly loose categories - especially at the enterprise level. It means that products in this area can be tricky to market, and willing enterprises may nevertheless struggle to pull together enough compliant data to make the products valuable. Besides some hefty funding announcements, information about Vianai is fairly thin on the ground - so time will tell if they can get over these road bumps.
Insights
Few candidates hear
back within 2 weeks
3% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2022
$200m
LATE VC
Jun 2021
$140m
SERIES B
Total funding: $390m
Company benefits
- Provides you and your family members access to wonderful medical, dental, and more care
- Offers annual and spot bonuses and equity opportunities
- Learn and Share program
- Flexible and remote schedules
- Discounted health planning and gym memberships
Company HQ
Palo Alto, CA
Articles
Founders
Vishal Sikka
(CEO)A Stanford Computer Sciences grad, who went on to spend 17 years at SAP - first as EVP of Architecture, then as CTO. Subsequently spent time as MD of Infosys. Also serves on the board of the BMW Group and as an advisor to the Stanford Institute of Human-Centered AI.
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