Director of Product Marketing
Posted on 7/19/2023
Domino Data Lab

201-500 employees

Enterprise MLOps platform
Company Overview
Domino's mission is to unleash the power of data science to address the world's most important challenges.
San Francisco, CA, USA • Remote in USA
Experience Level
Desired Skills
Microsoft Azure
DevOps & Infrastructure
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible At Domino Everything is a work in progress - we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • Refresh our core value props, product messaging and PMM “bill of materials” (e.g., website, collateral, videos, etc.)
  • Define our go-to-market themes and create key “hub” content to support (e.g., white papers, presentations, etc.)
  • With sales, scale our field enablement programs (e.g., competitive insights, objection handling, etc.)
  • Build our win/loss program with regular calendar of insights to PM and field teams
  • Build our packaging/pricing framework with bi-yearly refreshes of product pricing
  • Inform mid/long-term product roadmap through quarterly competitive, customer, and market insights
  • Build trusted, peer-level relationships with executive team, field leaders, and product leaders
  • An experienced PMM Leader for Enterprise B2B product who has launched product with pricing/revenue implications (e.g., license model switch, going on-prem to SaaS)
  • Domain expertise in ML Platforms / MLOps, including familiarity with others in the market like DataBricks, AWS Sagemaker, Azure Machine Learning and Google Vertex
  • Experience working with Enterprise customers on-prem and ideally transitioning a product to the cloud
  • Expertise with distributed/cloud computing is important (eg Kubernetes, Docker)
  • Expertise with digital transformation, business process automation, high performance computing, security or networking are nice to have