AI Strategy & Operations Generalist

Reflection; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided in office

Parental leave

Unlimited vacation

Visa sponsorship

Team off-sites

Job summary

Reflection is a research lab focused on open, accessible intelligence. We seek a Strategy & Operations Generalist to scale our operations, partner with founders and teams, and drive high-priority projects across GTM strategy, data automation, partnerships, and internal ops.

The ideal candidate combines strategic thinking with hands-on execution, thrives in a fast-paced, ambiguous environment, and is deeply interested in AI markets and strategies.

Qualifications

• 7–10 years of experience in strategy or operations, in a early-stage startup or top-tier consulting environment.
• Candidates should be autonomous with an ownership mindset.
• Strong analytical and problem-solving abilities with a bias toward action.

Responsibilities

• Drive and execute cross-functional initiatives spanning product, research, and business operations.
• Build scalable processes to accelerate company growth.
• Partner with leadership on strategic planning, prioritization, and execution.
• Own special projects including market analysis, automation, partnerships, ops, and finance.
• Develop insights and frameworks to guide company decision-making.
• Act as a force multiplier for leadership by identifying bottlenecks and unlocking growth.

Skills

Autonomous with ownership

Analytical and problem-solving

Excellent communication

Cross-functional collaboration

Adaptability

Interest in AI strategy

Job description

Reflection is a research lab focused on open, accessible intelligence. We seek a Strategy & Operations Generalist to scale our operations, partner with founders and teams, and drive high-priority projects across GTM strategy, data automation, partnerships, and internal ops.

The ideal candidate combines strategic thinking with hands-on execution, thrives in a fast-paced, ambiguous environment, and is deeply interested in AI markets and strategies.