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Senior Product Manager

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA)

Offer summary

Qualifications:

BS/BA degree in Computer Science, Mathematics, Data Science preferred, 5+ years experience as Product Manager in SaaS company, experience in ML Operations is a plus, Strong technical and data-analysis skills. Experience managing products through development stages.

Key responsabilities:

  • Develop product lifecycle from strategic planning to final execution
  • Define product requirements, user needs, metrics, and drive communication across teams
  • Create product management artifacts and lead cross-functional collaboration events
  • Translate strategy into prototype requirements and develop final product with engineering teams
Vianai Systems, Inc. logo
Vianai Systems, Inc. Scaleup https://vian.ai/
51 - 200 Employees
See more Vianai Systems, Inc. offers

Job description

The Opportunity:

Vianai Systems is hiring a Senior Product Manager to drive the future development of our new Enterprise ML platform. We are looking for an experienced Product Manager that will own the entire product lifecycle - from strategic planning, through execution to customer usage. In this role, you will apply your passion, creativity, and experience to push the boundaries of what is possible and to build our product. You will collaborate, guide, and inspire engineering, data science, and product teams to pursue a forward-thinking, innovative experience that our customers will love.

Expectations:

  • 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.
  • 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

Qualifications:

  • 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.

Preferred Qualifications:

  • 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.

Who we are:

We are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and brothers, fathers and mothers, partners and friends. We are curious and creative, confident and humble and we have a passion for what’s next. We believe that when used to amplify our humanity, our technology has the power to do good in the world.

While Vianai is a part of each one of us, it isn’t all of us.

Our company is founded on a culture of trust, empowerment, and respect. We bring our whole self to work — the non-perfect, messy, sometimes imposter, sometimes expert, sometimes vulnerable, and sometimes superhuman self that contributes to what we believe in. We are committed to advancing inclusion, equity, and diversity because we believe that to design more transparent and beneficial AI systems, we need architects of all types. And to us, the more perspectives the better.

Vianai has deep expertise in enterprise technologies and landscapes, business application development, engineering services, design thinking, and cutting-edge AI research. We are a startup, and we are founded, funded, and led by veterans of the industry. We think and work like entrepreneurs, but we’ve brought a wealth of experience and expertise that is deeply relevant to our mission and the market opportunity.

About Vianai:

Vianai is a Human-Centered AI platform and products company amplifying the power of human understanding and collaboration together with advanced AI techniques, to drive transformation. Vianai’s unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making and improve business outcomes. Vianai customers include many of the world’s largest and most respected companies in manufacturing, financial services, retail, and aerospace and defense, among many others. The company is headquartered in Palo Alto, California, and has an R&D center in Israel.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Non-Verbal Communication
  • Strategic Planning
  • Leadership
  • Collaboration
  • Social Skills

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