Employment type
Full time

Your mission

Texts are the fabric of the digital world. There’s so much information at our fingertips, but making sense of it efficiently is still very hard. You can become part of a mission to break this barrier, PLUS you will get a lot of freedom and an unbureaucratic, highly collaborative environment with a high level of immediate impact. Our open source project Haystack is already used by industry leaders all around the world and we set out to become the semantic layer in every enterprise tech stack. As a Senior Product Manager at deepset, you will join our early product team and have a big impact on building out our SaaS product “deepset Cloud”. Our typical users are Machine Learning Engineers in an enterprise and their "job to be done" is to make text information in the organization easily accessible for a variety of use cases. This used to be a highly complex and scattered process involving many different steps, technologies, and stakeholders. With deepset Cloud, we enable streamlined workflows to set up, customize, deploy, scale and monitor modern search pipelines - all in one place. You will shape this new generation of “integrated MLOps Platforms” and help developers to embed the power of NLP into a huge variety of products and services worldwide. The product is still in an early phase but the direction is validated, first customers are in place and the waiting list is huge. You will enter an interesting period of product growth!

Your profile

Your responsibilities

  • You’ll build strong empathy for our customers, the developers using our products, and the problems they want to solve
  • You’ll work closely with internal & external stakeholders to define what we want to work on next and why
  • You’ll own the full PM lifecycle from exploring early ideas, moderating team discussions, breaking down complex topics into clearly scoped chunks, iterating closely with the engineering team, and collecting user feedback once it’s shipped
  • You’ll be an ambassador for our product vision in daily discussions - Understand the big picture of our product, the market, the customers and connect the dots in discussions
  • You’ll shape the next generation of MLOps platforms and help developers and companies all around the world to access information via language

Requirements

  • 5+ years experience as a PM (does not have to be in deep tech PM)
  • You have worked in a deeply technical product role before - ideally building an enterprise SaaS product
  • You can relate to python developers, data scientists, NLP engineers, backend engineers and have an idea about their workflows and pain points
  • You can show us examples of your work where you covered the whole lifecycle from an early idea to a shipped product feature
  • You are an excellent communicator who can steer complex group discussions towards a pragmatic outcome, summarize complex product features in a single sentence, and communicate the product vision to different target groups
  • You are a good context switcher and enjoy switching from highly technical discussions with engineers to strategic presentations in an executive meeting
  • You are passionate about user experiences and pragmatic in choosing the steps towards a long term vision
  • Your enthusiasm & curiosity makes it easy for you to investigate new product features, understand problems in depth and motivate others to join you on the journey
  • You have a diverse toolkit of PM methods & processes to pick the right ones depending on the environment

Why us?

  • Latest NLP: deepset is at the forefront of NLP, we are on our way to become a standard for neural search. Work with tech experts and shape the NLP space together with us.
  • Flexible: At deepset, we all treasure the remote-first nature of the company. It's a big milestone for us today to be recognized and accredited by Flexa Careers as being very flexible to employees :)
  • Remote-first: We are building a remote-first organization. You can choose to work from home or any other place. We offer a home office budget for equipment and furniture, and we would be happy to sponsor a co-working spot.
  • Choose your tech: Linux, Windows, or macOS? Laptop or PC? The choice is yours and we will provide what you need.
  • Re:base: Once every few months we meet in person. We believe it's great to still see each other occasionally IRL. We discuss things, we do mini-workshops, we brainstorm, we have lunches together, and we have fun. We cover travel expenses for sure.
  • You are an owner: We offer every employee an opportunity to own part of the company, you will be enrolled in the employee stock option plan.
  • No AI hype: Work on real-world cases with realistic expectations about NLP capabilities.
  • Fast-paced: Fast path to decisions and actions. A great deal of responsibility and immediate impact (no legacy).
  • Recharge: We all need time to recharge every now and then - or to travel the word - you will get 27 days of paid holidays.
  • Grow: Focus on professional growth, we have a budget for learning and further development of skills, possibility to speak at conferences, monthly internal hacky Fridays.

deepset
Natural Language Processing
AI
OpenSource
View company profile

Remote-first

A little flex time