Senior Sales Engineer

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.

At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems. 

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.

Location:  London, UK (Preferred) or US Northeast

The power of prediction starts with HumanSignal. We build software that helps people do what only they can do – give meaning

Data fills our modern world. It flows prolifically inside organizations, customer interactions, through product usage, environmental research, healthcare imaging, and beyond. What if we could use any of that historical data to predict the future? The fact is, in most cases we can make predictions through Machine Learning and AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and absent of bias.

In order to make the best predictions, we believe internal teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling to the next level.

We believe that data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process. That’s why we created Label Studio, which has quickly become the most popular open source data labeling platform with 1,000,000 users around the world, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.

We are excited to announce that HumanSignal has recently raised $25 million in Series A funding, bringing our total funds raised to $30 million from notable investment partners Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures, as well as angel investors.

HumanSignal is a fully distributed organization with people all over the world. We have team members in North America, Europe, and South America across 6 countries.

About the Opportunity:

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.

What You'll Bring:

• 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

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

It is an exciting time at HumanSignal we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!

At HumanSignal

While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page.

We hope you are interested in our opportunities and encourage you to apply even if you are not sure you fit all of the requirements. When applying please include: A short document covering of your experience & skills, such as a resume or linkedin profile. If you have a cover letter expanding on your background and why HumanSignal is of interest to you, even better, though a cover letter is not required & will not impact your application status. When we receive your application, we’ll get back to you about the next steps.

HumanSignal is an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us.

We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences.

We are hiring for this role across North America. For US based candidates our base cash compensation for this role is targeted between $145,000 to $185,000 USD. This role also qualifies for variable compensation in the form of commissions. If an employee is meeting sales objectives as outlined in our commission plan we anticipate the on target earnings for this role to be between $180,000 to $215,000. This range is provided by market data and is in good faith. The final offer details are determined by several factors including candidate experience, expertise as well as applicable industry knowledge, and may vary from the pay ranges listed above.