Full Stack Developer, Vianai
$110-160k
AI/ML tools for enterprise
Open for applications
AI/ML tools for enterprise
21-100 employees
Open for applications
$110-160k
21-100 employees
Company mission
To empower millions to build machine learning applications.
Role
Who you are
- BS in Computer Science or equivalent education/experience
- 3-5 years experience with web application development using HTML, CSS, JavaScript, React, and other industry standard frameworks
- 3-5 years experience with backend and DBMS technology, including SQLserver, MySQL, Python, and Ruby
- Passion for simplicity and an ability to clearly present complex data in a consumable manner
- Excellent communication skills and the ability to work in high speed cross-functional teams
- Curious for new technology, able to pivot quickly
Desirable
- MS in Computer Science or equivalent education/experience
- DevOps and CI/CD experience
- Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning
What the job involves
- Design, plan, and build all aspects of our products frontend, UI, data pipelines, and backend components
- Take leadership and pursue the best, state-of-the-art solutions, within the dynamic requirements and timelines
- Take E2E ownership of all aspects of the development cycle. From choosing the needed tech stack to creating the best dev experience and up to fully own production
- Be goal and data oriented. Always strive to make decisions based on data
- Be minded for quality and efficiency - invest time, when needed, in order to run better and faster
- Focus on continuous growth and improvement, in every aspect (personal, products, processes, tools, skills, etc.)
- As a vital member of the engineering team, be part of defining and building the team’s culture and agenda
- Mentor engineers to develop new skills and grow professionally
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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