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Growth Manager - US (San Francisco)

Encord

Encord

Sales & Business Development
San Francisco, CA, USA
Posted on Tuesday, January 9, 2024
About Us
At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We are a talented and ambitious team of 60, working at the cutting edge of multimodal and visual AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our first Growth Manager to join us in building our team.
About The Role
Encord is seeking an analytical and driven individual to join our Growth team in San Francisco. As one of the first members of the U.S based growth team, you will play a major part in sustaining a rapid growth trajectory for Encord.
We are looking for highly motivated individuals with a bias for action to help build a scalable growth engine and drive global demand. We are still a startup: you’ll have to get hands-on with projects, operate with partial knowledge, and constantly be rethinking how we do things. Plus, move very quickly.
Responsibilities
In this role, you will:
- Identify and prioritize new opportunities for growth.
- Execute growth experiments across various channels (events, content, PPC, social, campaigns, etc.) & use the results to craft data-driven strategies for lead acquisition.
- Contribute to building a scalable growth machine that allows us to run constant, iterative tests throughout the funnel.
- Coordinate with cross-functional teams to ensure seamless execution of growth initiatives.
- Drive global demand and revenue by marketing Encord through various channels and across multiple geographies.
About You
To succeed in this role, you should have:
- An entrepreneurial mindset, demonstrating natural analytical abilities and the capability to adapt and thrive in a fast-paced startup environment.
- Comfort in decision-making, executing with conviction & good judgment with limited guidance.
-Needs minimal direction in an ambiguous context to take action & adapt quickly.
- Excellent verbal and written communication skills, including communication with executives and senior leaders.
- Previous experience in B2B and/or SaaS is a plus, but not required. We are looking for demonstrated success in a challenging field that showcases resilience and determination.
More about the Role & Encord
- Competitive salary and equity in a hyper growth business.
- Strong in-person culture: most of our team is in the office 3-5 days a week.
- 18 days annual leave a year + public holidays.
- Clear and concrete opportunities to grow – a year ago we were 25 people, now we’re over 60. We’ll be growing insanely fast over the next 24 months and you’ll have all the opportunities for growth that you can handle.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.