Tech Ops Intelligence & AI Efficiency Analyst

Socket.dev; New York (NY); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Discretionary bonus

Comprehensive benefits package

Job summary

Verition Fund Management LLC is seeking a data‑driven analytics professional to optimize the technology organization’s efficiency and AI leverage. You will evaluate delivery, reliability, and unit economics across the tech estate and present actionable recommendations with clear ownership.

Reporting to the Technology COO, you will work across engineering, finance, and operations to quantify impact, benchmark platforms, and drive adoption of improvements with measurable outcomes.

Qualifications

• 2-4 years of experience at a top-tier strategy consultancy or quantitative analytical background in engineering, sciences, or quantitative research within a leading financial services organization.
• Strong proficiency in Python.
• Experience working with telemetry, logs, cost data, APIs, dashboards, and operational technology metrics.
• Demonstrated analytical and quantitative problem‑solving skills, with the ability to size opportunities, defend assumptions, and evaluate tradeoffs.
• Ability to identify meaningful metrics and translate analysis into actionable recommendations.
• Experience leveraging AI tools, automation, or agents to improve workflows, generate insights, and increase operating efficiency.
• Strong communication and stakeholder management skills
• High level of intellectual curiosity, strong work ethic, and keen attention to detail

Responsibilities

• Own the engineering intelligence stack, including delivery velocity, software reliability, service performance, onboarding effectiveness, and AI-assisted development metrics.
• Develop and maintain live unit economics across technology, including cost per pod, workload, transaction, and AI workflow.
• Analyze consumption spend across AI inference, cloud infrastructure, and market data platforms.
• Identify structural inefficiencies, quantify their impact, and drive remediation efforts to closure.
• Provide recommendations across the technology organization, including prioritization, sequencing, approval, and rejection decisions supported by measurable outcomes.
• Conduct internal and external benchmarking of technology platforms, tooling, services, and operating practices.
• Determine where instrumentation and measurement provide actionable decision‑making value and avoid unnecessary reporting.
• Build and leverage AI‑driven agents, pipelines, and automation to collect, reconcile, and synthesize technology data.
• Utilize AI tools to generate reporting and briefing materials, allowing focus on analysis and strategic decision‑making.
• Partner closely with engineers, Vertical COOs, and technology leaders to build trust, communicate findings, and drive adoption of recommendations.
• Present analyses and recommendations clearly, concisely, and with defined ownership and expected business impact.

Skills

Python

Data analysis

AI tooling

Communication

Problem solving

Stakeholder management

Tools

Telemetry systems

APIs

Dashboards

Cost data platforms

Job description

Verition Fund Management LLC is seeking a data‑driven analytics professional to optimize the technology organization’s efficiency and AI leverage. You will evaluate delivery, reliability, and unit economics across the tech estate and present actionable recommendations with clear ownership.

Reporting to the Technology COO, you will work across engineering, finance, and operations to quantify impact, benchmark platforms, and drive adoption of improvements with measurable outcomes.