Manager, Forward Deployed Engineering

Build and lead the Forward Deployed Engineering function, defining the team’s operating model, technical roadmap, and standards for execution

Hire, mentor, and develop a high-performing team, fostering strong ownership, velocity, and engineering excellence

Own the design and evolution of end-to-end AI data pipelines, including dataset generation, evaluation systems, and quality frameworks

Drive development of ML-assisted and HITL workflows that improve the speed, scalability, and reliability of data production

Establish and standardize measurement, benchmarking, and validation systems to ensure consistent, high-quality dataset delivery Develop scalable internal tooling and workflows for orchestration, monitoring, and delivery, reducing bottlenecks and improving throughput

Partner cross-functionally with Delivery, Engineering, and Research to productionize new approaches and continuously improve DaaS capabilities

6+ years of experience in AI/ML/GenAI engineering, forward deployed engineering, solution engineering or applied AI roles, with strong hands-on technical depth

2+ years of experience leading or managing engineers in a hands-on, player-coach capacity

Strong experience building and operating data pipelines and ML/LLM-based workflows in production environments

Proficiency in Python, SQL, and modern data tooling; experience integrating systems via APIs. Has written code in the last 2 years

Experience designing evaluation frameworks, quality measurement systems, or benchmarking approaches for ML systems

Strong systems thinking — ability to design scalable, reusable solutions rather than one-off implementations

Proven ability to operate in ambiguous, fast-paced environments and drive execution across cross-functional teams. Start-up or growth-stage experience is strongly preferred.

Customer-facing, consulting, or services experience is strongly preferred

Nice to have:

Experience with human-in-the-loop (HITL) systems, data annotation workflows, or data-centric AI approaches.

Familiarity with synthetic data generation or model-assisted labeling techniques.

Experience building internal platforms or tooling for delivery or operations teams

At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to find a function and have a broad, lasting impact across the company.

The base salary range for this position is $200,000 – $320,000. This range reflects multiple factors, including role level and work location. The final offer within this range will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.