Senior Sales Engineer, HumanSignal
$180-215k
OTE
$145-185k
BASE
Salary range for US based candidates only
More information about location
Data labelling for machine learning
Job no longer available
Data labelling for machine learning
21-100 employees
Job no longer available
$180-215k
OTE
$145-185k
BASE
Salary range for US based candidates only
More information about location
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
- 5 or more years in a pre/post sales role as a sales engineer, solutions engineer, or solutions architect type of role
- You are very comfortable delivering highly technical content to executives and engineers
- You have optimal mix of both business and technical acumen to craft an excellent value proposition to potential customers
- A solid understanding of how data labeling works and can effectively communicate those concepts to an audience
- Previous experience in a Sales Engineering role for a highly technical SaaS product
- Solid presentation and communication skills
- An innate ability to engage audiences and predict their needs as well as the skills to handle any possible objections
- A creative side to help improve upon our documentation and marketing materials
- A willingness to travel to meet with GTM team members as well as potential customers
- You have a track record of proactively building process and systems that solve recurring problems
What the job involves
- We’re looking for a talented Sales Engineer to join our growing revenue organization
- In this role you will play a key role in the sales process
- Label Studio is a highly technical product used by Data Scientists and Machine Learning engineers to be successful in this role you will need to understand the importance of Data Labeling and the role it plays in ML models
- Our sales process is highly consultative and is a team sport
- You will be a strategic advisor working closely with Account Executives, Account Development, and other stakeholders to successfully close deals
- The core function of this role will be to craft and deliver compelling and value oriented demos as well as Proof of Concepts that help our potential customers understand the value of Label Studio Enterprise
- Within 1 month, you'll:
- Start by onboarding with a supportive team that will get you up to speed with Label Studio
- Help create technical documentation, presentations, data sheets, and proposals as needed
- Attend Sales Calls, Demos, and customer calls to gain insight and knowledge about HumanSignal and Label Studio
- Within 3 months, you'll:
- Have the ability to independently deliver demos, Proof of Concepts, and security reviews to potential customers
- Possess a deep technical understanding of HumanSignal/Label Studio so that you can be a trusted advisor to members of the revenue team when needed
- Within 6 months, you'll:
- Partner w/ team of Account Executives to deliver revenue commitments to the business in the form of high conversion rates on Demo, PoC’s, and security reviews
- Work with the HumanSignal Product & Engineering teams to identify and prioritize bugs + feature requests
- Continue to develop processes, documents, and tooling to improve the efficiency of Sales Engineering org
Salary benchmarks
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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