Top Tech Jobs & Startup Jobs

Owns relationships and execution across a portfolio of partners in India. Builds joint go-to-market plans, develops and progresses partner-sourced and partner-influenced pipeline, manages deals through close, enables partner sales teams, recruits new partners, coordinates internal stakeholders, and conducts business reviews to drive revenue and growth.

Conducts multichannel prospecting through phone, email, social selling, marketing-qualified leads, and events. Partners with Account Executives to build sales opportunities, qualifies potential buyers, uncovers customer needs, communicates Workday’s value propositions, nurtures prospect relationships, and maintains an organized pipeline across multiple accounts.

Build, scale, observe, secure, and maintain Workday’s Kubernetes-based cloud platform. Responsibilities include infrastructure automation, CI/CD pipelines, observability, configuration management, application deployments, troubleshooting, security compliance, documentation, and collaboration with distributed engineering teams. The role supports U.S. federal government contracts and may require work at client sites in the DC, Maryland, and Virginia area, along with the ability to obtain and maintain a TS/SCI with CI polygraph clearance.

Own the full enterprise sales cycle for Sana’s agentic AI products, from prospecting and opportunity development through solution shaping and deal closure. Build self-sourced pipeline, exceed quota, close $10K–$100K ACV deals, engage C-level executives, and collaborate with product, engineering, and strategy teams to address customer needs across industries and geographies.

Generates enterprise sales pipeline through prospecting, lead qualification, market assessment, and high-value deal sourcing. Serves as an initial contact for executive stakeholders, identifies strategic opportunities for AI solutions, builds relationships, and collaborates with sales leadership to refine scalable go-to-market strategies, outreach methods, tools, and processes. The role requires strong communication, commercial judgment, market analysis, and decisive execution in a fast-paced B2B SaaS environment.

Configure and maintain IAM integrations across SaaS applications, internal systems, APIs, directories, and cloud environments. Implement and troubleshoot joiner-mover-leaver lifecycle workflows, resolve synchronization and authentication issues, administer LDAP and Ory Hydra, manage vulnerability updates, automate identity tasks with scripts, and maintain technical documentation and architectural diagrams. The role also supports zero-standing-privilege practices, secure design reviews, and identity security for human, non-human, and AI-agent identities.

Analyze product performance, migration logs, and system data to optimize deployment workflows and identify AI/ML opportunities. Build Tableau dashboards, model data from warehouses and NoSQL environments, prototype predictive models in Jupyter, and conduct advanced statistical analysis. Partner with Product and Engineering leaders to support data-driven decisions, maintain high-quality data products, follow software development practices, and mentor team members.

Lead product strategy and execution for agentic workloads on the Data Cloud. Define MCP toolkits, action schemas, secure write-paths, APIs, and evaluation/trust frameworks for LLMs and autonomous agents. Drive commercialization, cross-functional integration, and executive storytelling to ensure enterprise-grade performance, security, and auditability.

Lead multi-year vision and execution for a Universal Context Engine that unifies structured and unstructured enterprise data into a secure, time-aware semantic layer. Drive product strategy, define semantic routing, temporal reasoning, operational action schemas, security gating, and GTM alignment to enable trusted, autonomous agentic workflows and monetize premium Data Cloud capabilities.

Leads and mentors an AI agent engineering team building secure, scalable, production-grade solutions for Workday’s HR and Finance products. Translates business needs into technical solutions, oversees delivery and platform integration, evaluates LLM, RAG, and orchestration technologies, and partners with vendors and open-source communities. Establishes testing, monitoring, feedback, privacy, security, compliance, reliability, and scalability practices while fostering innovation and continuous learning.