Customer Success Manager, HumanSignal
Enterprise
$180-190k
OTE
$144-152k
BASE
Data labelling platform for machine learning
Be an early applicant
Data labelling platform for machine learning
21-100 employees
Be an early applicant
$180-190k
OTE
$144-152k
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 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 also enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide as North American businesses outsource labour abroad, the competition looks fierce but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
80% employee growth in 12 months
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
Articles
Leadership
Michael Malyuk
(CEO & Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(CTO & Co-Founder)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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