Member of Technical Staff, Enterprise AI

Pro Integrate LLC; New York (NY); Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health insurance reimbursement

Paid time off

401(K) plan with company match

Remote-first workforce

Job summary

Pro Integrate LLC is seeking a Member of Technical Staff, Enterprise AI, for a remote role. You will embed within enterprise AI workflows, surface failure modes, design datasets and evaluation protocols, run rapid experiments, and deliver decision-focused analyses.

You will develop agentic workflows with robustness and scalability in mind, build lightweight tooling, and contribute to research artifacts and benchmarks in a fast-iteration environment.

Qualifications

• Master's degree in Computer Science, ML, AI, or related technical field.
• Ability to translate ambiguous operational issues into structured research problems.
• Experience designing datasets and evaluation frameworks for ML systems.
• Familiarity with RL environments and agentic system evaluation.
• Clear, concise communicator with bias toward actionable insight.
• Proven ability to execute in fast iteration cycles and high-ambiguity settings.
• Collaborative mindset with cross-team experience.

Responsibilities

• Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
• Surface, formalize, and prioritize system failure modes in real-world deployments.
• Design high-signal datasets and evaluation protocols to target identified weaknesses.
• Run tight experimental loops to validate hypotheses and quantify improvements.
• Produce clear, decision-oriented analyses of system behavior and performance.
• Develop and benchmark agentic workflows focusing on robustness and scalability.
• Build lightweight tooling to support evaluation, data curation, and rapid iteration.
• Contribute to internal and external research artifacts, including reports and benchmarks.

Skills

Research signal quality

Datasets design

Evaluation design

RL environments

Agentic evaluation

Cross-functional collab

Education

Master's degree in Computer Science, ML, AI or related field

Job description

Job Title: Member of Technical Staff, Enterprise AI

Job Type: Full-time

Location: Remote

The Role

As a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.

What You\'ll Do

• Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.
• Surface, formalize, and prioritize system failure modes in real-world deployments.
• Design high-signal datasets and evaluation protocols to target identified weaknesses.
• Run tight experimental loops to validate hypotheses and quantify improvements.
• Produce clear, decision-oriented analyses of system behavior and performance.
• Develop and benchmark agentic workflows, focusing on robustness and scalability.
• Build lightweight tooling to support evaluation, data curation, and rapid iteration.
• Contribute to internal and external research artifacts, including reports and benchmarks.

Who You Are

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
• Strong judgment for research signal quality, including data selection and evaluation design.
• Experience designing datasets and evaluation frameworks for ML systems.
• Ability to translate ambiguous operational issues into structured research problems.
• Familiarity with RL environments and/or agentic system evaluation.
• Clear, concise communicator with a bias toward actionable insight.
• Proven ability to execute in fast iteration cycles and high-ambiguity settings.
• Collaborative mindset with experience working across research, product, and domain teams.

Preferred

• Strong client-facing experience, particularly in technical or research-driven environments.
• Experience building internal research or evaluation tooling.
• Contributions to benchmarks, research publications, or open research initiatives.
• Exposure to enterprise AI deployments or forward-deployed research models.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $200,000 $250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies.

• up to 100% reimbursement for health-insurance premiums
• paid time off
• a 401(K) plan with a company match
• additional benefits designed to support a high-performing, remote-first workforce