Top Tech Jobs & Startup Jobs

Architects, builds, and operates production-grade agentic AI systems for identity security at enterprise scale. Responsibilities include multi-agent orchestration, tool use, planning, memory, failure recovery, enterprise-grounded reasoning, retrieval and RAG pipelines, model integration and evaluation, safety guardrails, observability, and human-in-the-loop controls. Provides technical leadership through architecture ownership, code reviews, quality standards, and mentoring.

Lead enterprise reliability and infrastructure initiatives across cloud, on-premises, and SaaS environments. Architect scalable solutions, establish SRE practices, automate operations, respond to incidents, and implement compliance-focused infrastructure controls. Provide advanced customer support, onboarding, documentation, and technical guidance. Collaborate across Engineering, Product, Security, and Customer Success while mentoring engineers and driving reliability, operational excellence, and continuous improvement.

Leads architecture and development for ServiceNow’s enterprise data access platform. Responsibilities include improving scalable, secure, high-performance data access; developing SQL generation and database metadata capabilities; troubleshooting complex production issues; driving architecture, design, code reviews, testing, and reliability practices; delivering cross-team projects; and mentoring engineers across levels. The role requires expert Java and backend platform development, relational database expertise, distributed systems knowledge, and technical leadership across teams.

Owns digital M&A integration and product launch strategy for ServiceNow’s digital ecosystem. Develops integration playbooks, governance, requirements, decision frameworks, and sequencing across acquired companies’ platforms, portals, technology stacks, and customer communities. Partners with M&A, Product, Marketing, Engineering, and Legal teams to manage trade-offs and execution risks. Defines launch strategy, prominence criteria, and reusable playbooks while using analytics to validate outcomes and improve digital experiences.

Own governance strategy and execution for the Knowledge Atlas program and Product Content across Digital Content and Design. Define taxonomies, quality standards, workflows, decision rights, and compliance gates; partner with Engineering and cross-functional teams to implement governance tooling and monitoring. Develop playbooks, training, and enablement, track governance health and adoption, validate AI-generated content, and escalate risks. Represent the organization in enterprise data governance, metadata, and content lifecycle initiatives.

Owns digital M&A integration and product launch strategy for ServiceNow’s digital ecosystem. Develops integration playbooks, governance, sequencing, and decision frameworks; evaluates systems, teams, processes, costs, and execution risks; guides CRM, lead management, analytics, portal, authentication, branding, and customer migration decisions. Defines launch criteria and reusable playbooks, directs requirements for Product Managers and execution teams, and aligns senior stakeholders across M&A, Product, Marketing, Engineering, and Legal using analytics and metrics.

Lead implementation and ongoing technical support for the data.world data catalog solution. Partner with customer business and technical teams, develop implementation strategies, manage deliverables, integrate and customize platforms, write scripts and SQL queries, manipulate data, document solutions, and support data governance initiatives. Present technical concepts and project plans to stakeholders and executives, contribute to statements of work, and travel within the United States approximately 25%.

Lead global go-to-market execution for ServiceNow’s Asset Management portfolio. Drive customer engagement, sales plays, pipeline growth, expansion, CIO initiatives, field enablement, partner co-selling, solution messaging, and strategic deal execution across global regions. Collaborate with product, marketing, partnerships, customer excellence, and industry teams to improve positioning, pricing, packaging, adoption, and operational performance.

Build and calibrate an agent evaluation platform for multi-step LLM agent trajectories. Design rubrics, deterministic validators, LLM judges, confidence scoring, and human calibration workflows. Fine-tune judge models, analyze simulation-versus-production divergence, and develop process reward models for agent optimization. Establish versioned scenarios, simulated environments, and reliable measurement standards while maintaining production-grade Python code.

Tech Lead for an agent evaluation platform, responsible for scalable evaluation orchestration, agent observability and tracing, and stateful simulation environments. The role involves building reliable runtimes, OpenTelemetry-based trajectory tracing, deterministic enterprise-system simulations, validators, scoring, calibration, and optimization signals for AI agents. The lead will guide engineers, own end-to-end project delivery, and operate production backend or infrastructure systems handling real traffic at scale.