Customer Engagement Manager

Posted Yesterday
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San Francisco, CA
In-Office
Mid level
Software
The Role
The Customer Engagement Manager builds and maintains customer relationships, ensuring operational efficiency and satisfaction while managing project implementations and advocating for client needs.
Summary Generated by Built In

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.

HumanSignal's customer base is growing exponentially, and you will be on the front lines of ensuring that these customers become passionate, lifelong partners. As a member of our Customer Engagement team, you'll be accountable for establishing deep customer relationships, driving revenue, hitting SLAs, and maintaining the quality standards that power breakthrough AI applications. You will work closely with HumanSignal's enterprise customers and frontier labs, driving end-to-end engagements from new projects and pilots, owning account execution, working cross-functionally to ensure our Label Studio platform and Data Creation Laboratory services are delivered consistently and on-time, and driving account growth.

You are the primary contact between HumanSignal and our customers, working with and advocating for data leaders and engineering/operations teams who are pushing the boundaries of what's possible with AI. You have a strong interest in how purpose-built, human-created data can unlock novel AI capabilities. Your bias is towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver excellence. You have a track record of managing customers to renewal, forecasting with precision, and supporting sales teams in driving expansion. And you are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. Within HumanSignal, you will work cross-functionally with Operations, Product, Sales, and our Data Creation Laboratory teams as the primary customer operations advocate.

The blend of operations and customer management to drive our most important outcomes makes this a unique and exciting role at the heart of HumanSignal's mission to harness human intelligence to power the future of AI. The ideal candidate is customer-driven, analytical, empathetic, outcome-focused, and above all someone who drives and inspires results.

You Will:

  • Build and drive critical operational processes: the consistent, on-time delivery of Label Studio platform capabilities and Data Creation Laboratory services, and revenue growth for our customers
  • Build and oversee operational levers with a relentless focus on SLA achievement and quality improvement
  • Review, track, and improve operational performance with an obsession for continuous improvement
  • Oversee onboarding and successful implementation for new customer projects
  • Manage the long-term health of customers by identifying and preempting areas of risk or concern
  • Partner with clients to understand operational issues and advocate for solutions with HumanSignal engineers
  • Work directly with customers' engineering teams, partnering with customer-facing engineers and technical account managers
  • Answer questions and address issues related to our platform, APIs, and data services
  • Create an effective feedback loop between frontline operations, product teams, strategy, and customers
  • Collaborate with stakeholders to improve processes for new and existing customers

Ideally You'd Have:

  • 4-9 years of total work experience, with experience in consulting or technical program management roles
  • Associate / Senior Consultant / Engagement Manager experience at a top-tier consulting firm
  • A technical background (education or professional experience with CS, Economics, Statistics, Engineering)
  • A proven track record in B2B client-facing roles and expanding client relationships
  • Ability to understand APIs, ML workflows, and data operations, and build great relationships with technical customers
  • Excellent cross-functional collaboration skills
  • Outstanding verbal and written communication abilities
  • A track record of structured, analytics-driven problem solving
  • A history of diligence and organization across multiple work streams
  • An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
  • Strong analytical, planning, and process improvement capabilities
  • Experience with SQL and/or other database languages

Nice to Haves:

  • Prior experience at an API-driven technology company and/or managing technical customers
  • Experience with data annotation, labeling platforms, or ML operations
  • Understanding of how training data impacts model performance

About HumanSignal

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are 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.

Top Skills

SQL
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The Company
HQ: San Francisco, California
51 Employees
Year Founded: 2019

What We Do

HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation.

Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.

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