Remote Across the East Coast, US
Competitive Salary + Substantial Equity & Benefits.
Pre IPO SaaS Scale Up - ETL & Data Transformation Platform
We have partnered with a SaaS tech scale up (in the Data ETL Industry) who are one of a kind. It is not often you'll see a business with a selection of products that are so unique and have so many benefits. They've spent the last few years scaling up their technology, to help SMB's & Enterprise businesses truly understand their data and convert them into real life, actionable insights
These insights have had huge impacts on brands, and they work with High-street names and start-up's changing the world, but they all have one thing in common, they cannot live without their solution, now they've seen what it can do.
So, we're looking for someone to join a growing division within the business, marketing. They've brought in some brilliant minds, to keep them on the forefront of developments and have created one of the most engaging strategies B2B SaaS has ever seen.
Now, what they are looking for is a senior product marketer who can keep them at the forefront of their growth and development! They offer a portfolio of unique solutions and need someone who can oversee the product positioning, product messaging and development! You will own all communications and become a subject matter expert in the product you look after!
So, what are we looking for?
Previous experience in product marketing within a software, SaaS or Data Transformation or similar business.
Ability to position a product by understand the personas of their customers.
Enhancing the product development as well as managing product launches.
Someone who's comfortable working remotely, with teams across the globe.
Experience in a fast-paced start-up/scale-up environment.
Creation of content (Website, Sales Collateral, Presentation Material) that is of a high quality and customer facing.
Understanding of the ETL Landscape is desirable.
Knowledge of Cloud Data Warehouses including Amazon Redshift, Snowflake, Microsoft Azure, Google Big Query or Databricks.