Top Tech Jobs & Startup Jobs

Leads contracting innovation across the contract lifecycle by driving process improvement, workflow automation, AI adoption, and operational transformation. Designs scalable solutions, reduces manual effort, develops dashboards and documentation, and partners with Sales, Operations, Legal, Compliance, and technology teams. Supports governance, change management, user adoption, and broader AI strategy development within the SMA business.

Provides 24x7 technical support to executives and assistants by diagnosing, repairing, installing, and maintaining hardware, software, networks, and multimedia equipment. Supports Windows, macOS, mobile devices, virtual desktops, Office 365, and enterprise applications through desk-side, phone, email, and remote channels. Responsibilities include asset management, documentation, escalation, vendor coordination, disaster recovery participation, project support, executive travel assistance, and occasional weekend or on-call coverage.

Leads the design, delivery, and operation of enterprise AI platforms and LLM-based systems. Responsibilities include AI architecture, RAG and fine-tuning, model evaluation, platform development, cloud services, governance, buy-versus-build decisions, cross-team delivery, stakeholder communication, and engineering team leadership and mentorship.

Leads a portfolio of strategic transformation initiatives across AI, private markets risk management, operating model redesign, and cross-functional innovation. Responsibilities include program governance, prioritization, milestone and dependency tracking, executive reporting, stakeholder influence, AI adoption, governance framework development, operating model design, and value realization. The role partners with senior leaders across risk, technology, investment, and corporate functions to deliver complex, multi-year initiatives.

Leads Talent Acquisition Operations across the Americas, overseeing service delivery, workload management, team development, stakeholder partnerships, and recruiting operations. Uses data, automation, and artificial intelligence to improve processes, mitigate risk, and enhance candidate and hiring-team experiences. Drives regional transformation initiatives, process improvements, technology adoption, and collaboration with global Talent Acquisition teams.

Leads complex Aladdin prospect engagements from RFP through vendor selection, partnering with business development, product, and implementation teams. Delivers tailored demonstrations across investment, risk, operations, and technology workflows; diagnoses operating model challenges; and maps client objectives to Aladdin solutions. Builds relationships with senior institutional stakeholders, contributes to sales strategy, incorporates market and regulatory insights, and helps shape product direction.

Support multi‑sector fixed income portfolio management across institutional and ETF mandates by assisting with construction, positioning, trade implementation, performance and risk monitoring. Apply data, automation, and AI-driven workflows to portfolio monitoring, risk identification, reporting, and analytics. Partner with senior PMs and tech teams to scale and integrate tools (e.g., Aladdin) and improve processes and automation.

Support cloud identity and access management across Azure, AWS, and GCP. Create and govern user and non-human access, roles, permissions, entitlements, and enterprise application onboarding. Automate IAM infrastructure through Terraform, CI/CD pipelines, Python, and PowerShell. Manage Azure RBAC and PIM, AWS IAM policies and roles, secret rotations, access reviews, and least-privilege improvements while collaborating with security, engineering, and business teams.

Leads technology, data, automation, analytics, and applied AI solutions supporting investment manager research across public and private markets. Translates business requirements into scalable production systems, develops applications and dashboards, improves data quality and governance, and prototypes AI/LLM capabilities. Partners with research, investment, data, technology, operations, and vendor stakeholders while managing complex initiatives, controls, priorities, and adoption.

Leads enterprise AI security architecture and strategy across LLM applications, RAG pipelines, agent workflows, and cloud-native platforms. Establishes security standards, governance requirements, guardrails, threat models, and secure development patterns. Drives remediation of AI-specific risks including prompt injection, jailbreaks, data exposure, unsafe tool usage, and excessive permissions. Partners with senior engineering, product, architecture, and security leaders, leads investigations, supports automated security testing, represents AI security in governance forums, and mentors security engineers.