Customer Success Manager, HumanSignal
Enterprise
$158-190k
OTE
$127-152k
BASE
Data labelling for machine learning
Open for applications
Data labelling for machine learning
21-100 employees
Open for applications
$158-190k
OTE
$127-152k
BASE
21-100 employees
Company mission
To help data scientists use data to teach ML/AI models how to make the best predictions.
Role
Who you are
- Minimum of 6 years of experience working in customer-facing technical roles
- At least 5 years of experience building and managing customer relationships
- Minimum of 4 years of experience at a SaaS-company working with cloud architectures
- Foundational technical understanding of data collection, feature engineering, model training and productionalization
- Solid knowledge of the ML/AI market, pain points of enterprise-wide AI adoption, and common strategic focus of Head of Engineering / Head of AI persona
What the job involves
- As one of the founding members of the Customer Success team, you will be the primary owner in charge of each account to ensure clients meet their desired business goals
- Build long lasting meaningful relationships with customers to ensure consistent and proactive engagement
- Drive business value with the customers by prescribing effective success plays based on customer business goals and long term strategic direction
- Help our existing and new customers fully utilize the software and integrate it into their pipelines
- Own customer lifecycle from onboarding through renewal
- Land and expand existing Enterprise accounts to democratize and operationalize labeling initiatives as part of their standardized practice
- Within 1 month, you'll:
- Get introduced to existing enterprise customers and setup schedules to collect feedback and understand their desired outcomes
- Learn and understand company product value proposition
- Identify gaps between the current status and the client’s desired outcome and how those gaps could be bridged
- You will be working alongside the sales, product and marketing teams crafting a mutual success plan with the customers
- Within 3 months, you'll:
- Advise our customers on best practices for product usage and share applicable success stories to help clients transform their data labeling practice
- Focus on hitting targets for customer satisfaction, renewals, and retention
- Partner with the champion to evangelize success and achievements to further drive awareness and expansion opportunities within the organization
- Iterate on the process of capturing product feedback and feature requests, identify the “why” and value behind that information
- Within 6 months, you'll:
- Nurture relationships with strategic accounts starting from user personas, then move to senior, and then executive levels. Guarantee satisfaction and alignment along every step
- Help continue building out customer success functions by drafting best practices, playbooks, and process designs in order for the team to serve a large book of customers at scale
- Within 1 year you'll:
- Keep scaling customer success initiatives based on the customer and usage growth
- Be proactive in identifying future obstacles in terms of larger customers' adoption and usage
- Have the opportunity to be groomed into a leadership position
Our take
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access and data security. With industry leaders such as IBM, Nvidia and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide, the competition looks fierce - but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Total funding: $25.2m
Company benefits
- Work from Anywhere
- Equity Options
- Inclusive Culture & Environment
- Annual Team Offsite
- Time off & Vacation
Company HQ
SoMa, San Francisco, CA
Leadership
Michael Malyuk
(Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(Co-Founder & CTO)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
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