Labelbox Logo

Labelbox

Forward Deployed Engineering Manager

Posted 5 Days Ago
Be an Early Applicant
In-Office
7 Locations
Senior level
In-Office
7 Locations
Senior level
Responsible for building and leading a team to enhance operational processes and customer satisfaction while managing AI-related projects.
The summary above was generated by AI
Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview

We are seeking a dynamic, highly-driven Forward Deployed Engineering Manager to build and lead a new team that directly engages with our customers. This individual will not only manage but actively construct and optimize the team's operational processes from the ground up, ensuring successful delivery and high customer satisfaction.

Your Impact
  • Demonstrated experience managing and leading forward-deployed engineering, solutions engineering or sales engineering teams.

  • Proven track record in building teams from scratch, including hiring, onboarding, and training.

  • Strong experience developing and implementing effective operational processes and metrics to drive team success.

  • Solid engineering background; familiarity with software development lifecycle, technical problem-solving, and customer integrations.

  • Professional background in the AI industry, demonstrating familiarity with current technologies, trends, and challenges.

  • Exceptional communication skills, both verbal and written, to engage effectively with customers and internal stakeholders.

  • High degree of confidence and agency, capable of independently driving initiatives and owning outcomes.

What You Bring
  • Prior experience in the human data industry (e.g., data annotation, crowdsourcing, or human-in-the-loop AI operations) is highly desirable and considered a strong bonus.

  • Experience managing geographically dispersed or globally distributed teams.

  • Passion for AI and the intersection of technology, product, and customer needs.

  • Strong project management and organizational skills.

  • Exceptional communication skills: ability to convey complex technical concepts clearly.

Alignerr Services at Labelbox

As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range
$170,000$200,000 USD
Life at Labelbox
  • Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
  • Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

Top Skills

AI
Software Development Lifecycle

Similar Jobs

An Hour Ago
Hybrid
Vancouver, BC, CAN
Internship
Internship
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The intern will assist in the design validation of new camera products, performing tests and collaborating with engineering teams to evaluate performance and functionality.
Top Skills: MS OfficePython
An Hour Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Senior Splunk Engineer will enhance Cyber Technology Compliance operations and monitor projects for financial services clients, requiring 5+ years of Splunk Engineering experience.
Top Skills: Splunk
18 Hours Ago
Remote
Hybrid
Canada
Senior level
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead a team of mobile engineers to develop and enhance the online sports betting product by managing communication, mentoring team members, and driving technical innovation.
Top Skills: AndroidiOSKotlinSwift

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account