AI Enablement Lead

New Yorkfull timeOn Site

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senior

$200k–$250k

H1B: yes

Tower Research Capital The AI Enablement Lead at Tower Research Capital tracks AI model and feature releases, evaluates their relevance, and drives adoption across the firm. This role partners with InfoSec, Legal, trading, and research teams to integrate AI capabilities and redesign processes for maximum impact.

Responsibilities

Track model and feature releases across the firm's AI tools, evaluate what matters for Tower, and drive the decisions on what the firm adopts and when
Partner with InfoSec and Legal & Compliance to move new capabilities through review and into users' hands quickly
Stay close to the broader AI landscape and translate developments into concrete opportunities for Tower's teams
Establish how we measure adoption and impact, and use data on how people actually use AI tools to find where the gains are, and where they aren't
Work closely with trading and research teams to understand how their work gets done, identify where AI would help most, and help them redesign processes from the ground up rather than layering AI onto existing ways of working
Proactively enabling teams, bringing new capabilities to the teams that would benefit, running the sessions and building the material that raises fluency, and turning what works in one team into something the next can reuse
Define how AI tools are set up and used at Tower so that configuration, access and experience are consistent across tools and teams, and redundant tooling is retired
Be the central connector between users, the firm's AI and platform teams, and vendors — surfacing what teams need, influencing vendor roadmaps, and helping colleagues navigate access, policy and procedural questions

Qualification

High AI fluencySharp product instinctsExcellent communication skills

Required

High AI fluency: daily hands-on use of AI assistants, coding agents and agentic workflows; fluent in modern LLM tooling and concepts (prompting, agents, tool use, MCP, workflow design); strong opinions about how engineers and researchers do good work with AI
Hands-on technical background — programming, automation, data analysis or product/engineering work — with the range to take an idea from discovery through prototype to production-ready, and the judgment to know when to pull in deeper engineering help
Track record of taking internal tools or platforms from early adopters to broad, firm-wide use
Sharp product instincts: asks the right questions, gets to root causes, lays out trade-offs clearly, and pushes back when needed
Excellent communication skills
Sound judgment around responsible AI use, confidentiality and operational risk; comfortable working with security and compliance partners
Thrives with high autonomy in an ambiguous, fast-moving environment; comfortable owning outcomes and making or coordinating difficult trade-offs

Preferred

Experience building AI fluency or enablement programs for technical teams
Experience shipping tools or products for technical audiences, internal or external
Admin or power-user experience with one or more enterprise AI platforms
Familiarity with usage-based and token-based pricing models
Anticipated New York and Chicago annual base salary range $200,000-$250,000, plus eligible for bonus(es).

Benefits

PTO
Wellness

Company

Tower Research Capital

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Source: greenhouse

Active within the past hour

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AI toolsmodel trackingfeature releasesInfoSecLegal & Compliance

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