Senior Product Manager, Vianai
AI/ML tools for enterprise
Open for applications
AI/ML tools for enterprise
21-100 employees
Open for applications
21-100 employees
Company mission
To empower millions to build machine learning applications.
Role
Who you are
- BS/BA degree. Major in Computer Science, Mathematics, Quantitative Economics, Data Science or equivalent, preferred
- 5+ years as a Product Manager in a SaaS company, leading business analytics solutions; experience in ML Operations a big plus
- Experience managing product efforts through every stage of development
- "A real numbers freak" - high technical and data-analysis skills
- Must be comfortable working in an agile software development environment – constantly prioritizing and negotiating tradeoff options
- Excellent project/time management, organizational, and customer service skills
- Strong leadership and interpersonal skills, ability to work collaboratively toward a common goal
- Excellent verbal and written communication skills with the ability to communicate with technical and non-technical audiences
- Comfortable in front of customers and curious about their pain points
Desirable
- MS/MA degree. Major in Computer Science, Mathematics, Quantitative Economics, Data Science or equivalent, preferred
- Experience with data science, development, and software architecture experience are huge advantages
What the job involves
- Leverage market and customer analysis, competitive positioning, strategic priorities, and our unique technological advantage to define the roadmap
- Translate roadmap into a product backlog, detailed requirements, and use cases
- Represent the user and the market to answer product questions through user & stakeholder interviews, and by testing ideas with customers
- Define and analyze metrics to measure and ensure that the product features satisfy customers’ needs and achieve the desired operational and business outcomes
- Drive product development with a team of world-class engineers & data scientists
- Facilitate communication and establish a shared vision across the company by building consensus on priorities leading to product execution
- Maximize efficiency in a constantly evolving environment
Our take
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, 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 struggle to pull together enough compliant data to make the products valuable. Alongside some hefty funding announcements, Vianai has launched a product in partnership with intelligent integration company Boomi - Boomi World - which will power accurate, enterprise-grade financial AI solutions. This launch suggests that the company is getting over these industry-wide marketing road bumps, so it will be interesting to see how Boomi World fares.
Freddie
Company Specialist at Welcome to the Jungle
Insights
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
Leadership
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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