Top Tech Jobs & Startup Jobs in NYC, NY

Leads and develops senior engineering teams delivering production AI solutions for tax, audit, and accounting clients. Owns hiring, staffing, capacity planning, client delivery, technical architecture, AI quality controls, risk mitigation, operating costs, and client outcomes. Oversees LLM applications using RAG, agents, integrations, evaluation frameworks, and observability. Partners with business, product, consulting, and platform leaders to improve engineering effectiveness, manage escalations, and align capacity with demand.

Build and deliver enterprise integrations connecting AI solutions with tax and audit products, ERP systems, document platforms, and data warehouses. Develop document-processing, retrieval, embedding, and vector-search pipelines; enable AI agents through APIs and MCP; and establish data validation and quality controls. Implement secure authentication, testing, monitoring, deployment patterns, and operational runbooks. Partner with clients and cross-functional engineering, platform, consulting, and reliability teams to deliver reusable, production-ready solutions.

Build and deploy secure, production AI applications for tax and audit professionals, including RAG pipelines, custom agents, and agentic workflows. Develop scalable Python backend services, integrate with client and Thomson Reuters systems, and establish evaluation, observability, monitoring, and testing practices. Lead client delivery, translate ambiguous business needs into technical solutions, support deployments and incidents, and collaborate with AI engineers and senior technical leaders across multiple engagements.

Build and deploy reliable AI automations for tax and audit professionals. Responsibilities include understanding client workflows, designing controlled AI solutions, creating prompts and agents, developing prototypes with Python and low-code tools, validating accuracy through expert datasets and test harnesses, demonstrating solutions to clients, and collaborating with domain, editorial, product, and engineering teams. The role requires substantial tax or audit experience, professional judgment, and the ability to translate complex workflows into practical AI applications.

Manage assigned corporate SMB accounts through migration to CoCounsel, from outbound outreach and discovery through completed transition. Meet migration quotas, maintain Salesforce records, forecast progress, identify risks, negotiate terms, and coordinate with internal teams to resolve customer issues. Serve as a consultative advisor by mapping customer workflows to CoCounsel, demonstrating value, addressing objections, and capturing feedback. Requires B2B sales experience, quota attainment, account management, CRM proficiency, and strong communication skills.

Own the roadmap for trust, security, and compliance capabilities in an agentic AI SaaS platform. Translate regulatory frameworks and government security mandates into product requirements, engineering work, audit evidence, and customer-facing capabilities. Partner with engineering, security, legal, compliance, sales, and customer success teams to deliver identity, access control, audit logging, data residency, and secure deployment features. Write PRDs and acceptance criteria, define metrics, support audit readiness, and balance regulatory needs with product velocity.

Lead product strategy and roadmap to enter Financial Services for Noetica. Define customer requirements, design data-intensive features, partner with engineering, GTM and sales, and drive commercial growth and integrations to scale the product for fund managers, credit managers, and treasuries.

Lead and grow an applied research team building LLM-based, agentic AI for tax and accounting products. Drive product-facing AI features from concept to production, set long-term AI strategy, partner with product and engineering, engage domain experts, and ensure rigorous evaluation and delivery in accuracy-critical workflows.

Provides technical direction for AI threat defense within Cyber Defense. The role develops strategies, architectures, detection content, telemetry, investigation methods, playbooks, and response workflows for threats involving AI applications, agents, models, infrastructure, and integrations. It also embeds responsible AI into SOC and CIRT operations, partners with engineering and AppSec teams, tracks emerging adversary techniques, mentors security professionals, and influences executives, customers, regulators, and industry groups.

Own the product strategy and technical contracts for an agentic customization platform, including skill registries, authoring tools, runtime integration, workflow composition, external tool connectors, governance, security, evaluation, and telemetry. Lead PRDs, API specifications, MVP delivery, enterprise design-partner betas, and GA readiness while partnering with Engineering, Science, Applied Research, Security, Design, Marketing, and Sales.