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.

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

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

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.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

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.

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.

XML job scraping automation by YubHub

The future of work is here, and it's at Cresta.

About the role:

At Cresta, shipping AI is only half the story. Deploying it successfully is where the real impact happens.

As Forward Deployed Engineering Manager, you'll lead the team that turns cutting-edge AI into real-world customer success. You'll build, mentor, and scale a world-class team of Forward Deployed Engineers (FDEs) who work directly with customers to deliver AI agents that solve practical business problems and drive measurable outcomes.

This is a high-impact leadership role for someone who loves building teams, refining processes, and driving product excellence through deep customer engagement. You'll be at the intersection of engineering, product, and go-to-market , ensuring that Cresta delivers exceptional value at scale.

Travel Expectations:

10-25% travel for customer visits, team offsites, and company events

This role is perfect for someone who:

• Has been in the trenches as an FDE or similar customer-facing engineering role and wants to scale that impact through leadership
• Thrives on building high-performing teams and developing talent
• Loves turning customer insights into product improvements
• Gets energized by complex deployments, ambiguous problems, and fast-paced environments
• Believes that engineering excellence and customer obsession go hand-in-hand

Why You'll Love This Role:

• High impact, high visibility: You'll own one of the most strategic functions at Cresta , the team that turns AI into customer success
• Build something new: FDE at Cresta is still being defined. You'll shape the function, the culture, and the playbook
• Work with cutting-edge AI: You'll be hands-on with state-of-the-art AI agents, LLMs, and enterprise deployments at scale
• Develop world-class talent: You'll recruit and mentor some of the best engineers in the industry
• Influence product strategy: Your insights will directly shape what Cresta builds and how we win in enterprise
• Collaborate with the best: You'll work alongside world-class teams across product, engineering, and go-to-market
• Move fast, see impact: This isn't a slow-moving enterprise role. You'll ship fast, iterate, and see your work drive measurable customer outcomes

What You'll Do:

• Build and Scale the FDE Team
• Recruit top talent: Own hiring strategy and execution for FDEs, building a diverse team of engineers who blend technical excellence with customer empathy
• Develop your team: Mentor FDEs through hands-on coaching, career development, and technical guidance
• Define the role: Evolve the FDE career ladder, competencies, and growth paths as the function matures
• Foster culture: Build a team culture grounded in ownership, customer-first mentality, and continuous learning

• Refine Processes and Drive Operational Excellence
• Optimize the customer lifecycle: Design and refine how FDEs engage across sales, implementation, and long-tail support
• Scale what works: Identify patterns in successful deployments and turn them into repeatable processes
• Balance speed and quality: Establish frameworks for scoping, prioritization, and delivery that enable FDEs to move fast without sacrificing quality
• Measure what matters: Define team metrics and KPIs tied to customer outcomes, deployment velocity, and product adoption

• Drive Product Improvements
• Be the voice of the customer: Synthesize customer feedback, pain points, and feature requests to inform product roadmap priorities
• Close the feedback loop: Partner closely with Product and Engineering teams to advocate for improvements that unlock enterprise value
• Build vs. buy vs. hack: Guide FDEs in making smart trade-offs between quick fixes, generalizable features, and platform investments
• Champion generalization: Push the team to build scalable solutions, not one-off customizations, while still delivering customer value quickly

• Lead Cross-Functional Collaboration
• Partner with Product: Work with PMs to translate customer insights into product strategy and roadmap decisions
• Align with Engineering: Collaborate with core engineering teams to ensure FDE-built features integrate seamlessly into the platform
• Enable Go-to-Market: Partner with Sales, Solutions Engineering, and Customer Success to scope opportunities, manage expectations, and deliver successful outcomes
• Influence leadership: Present customer insights, deployment learnings, and strategic recommendations to executive leadership

• Stay Hands-On (When Needed)
• Jump into the fire: Roll up your sleeves to support critical deployments, troubleshoot complex issues, or unblock your team
• Stay technical: Maintain credibility by staying close to the codebase, understanding AI agent architecture, and contributing when it matters most
• Lead by example: Model the behaviors you want to see , customer empathy, technical depth, ownership, and urgency

What We're Looking For:

• Engineering management experience: At least 2 years managing, mentoring, and growing engineering teams
• Customer-facing engineering background: Experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or similar role working directly with customers
• Technical depth: Strong software engineering fundamentals (coding, system design, APIs, databases) , you've built production systems and can earn the respect of senior engineers
• AI/LLM familiarity: Hands-on experience with AI agents, LLMs, prompt engineering, or ML deployments in production
• Hiring and talent development: Proven track record of recruiting, onboarding, and developing high-performing engineers
• Cross-functional leadership: Demonstrated ability to influence and collaborate across Product, Engineering, Sales, and Customer Success teams
• Bias toward action: You ship fast, iterate, and believe that perfect is the enemy of good
• Customer empathy: Deep understanding of enterprise customer needs and pain points

XML job scraping automation by YubHub