Product Manager, Vianai

$140-190k

Mid and Senior level
Remote in US
San Francisco Bay Area
Vianai

AI/ML tools for enterprise

Open for applications

Vianai

AI/ML tools for enterprise

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine Learning

Open for applications

$140-190k

Mid and Senior level
Remote in US
San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine Learning

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
  • 3-5 years as a Product Manager in a SaaS company, leading business analytics solutions; experience in ML Operations a big plus
  • Experience managing clients' expectations through every stage of development
  • 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

  • Collaborate and support our product development process by building and maintaining strong relationships with our community clients and stakeholders
  • Gathering feature requests, coordinating to support and schedule releases, and grooming and prioritizing the product backlog
  • Partner closely with our clients to deliver state-of-the-art features that amplify the product’s user experience
  • Understand our customer and business needs and translate that knowledge into continuous product enhancements possibilities
  • Support 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
  • Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams
  • Build Product Management Artifacts such as opportunity briefs, prioritized roadmaps, product specs, user stories shaped by Agile and Design Thinking Methodology
  • Partner with business and technology stakeholders in the identification of business requirements, functional design, process design, prototyping, testing, training, defining support procedures
  • Possess software development experience
  • Ability to work well with a distributed team
  • Act as an effective liaison between engineering, sales, and customer success teams

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, 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.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

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

Leadership

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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