Top Tech Jobs & Startup Jobs

Lead legal support for product development, AI governance, IP and global privacy. Advise product, engineering, and design teams; manage global IP portfolio; run privacy compliance (GDPR, CCPA/CPRA); draft and negotiate data processing and privacy terms; manage outside counsel and legal budgets; deliver training and cross-functional guidance to reduce risk and enable product innovation.

Lead direction, planning, and delivery of Conga's core platform capabilities. Define and evolve APIs, integrations, and shared services; own platform roadmap, SLAs, and versioning; collaborate with engineering, architecture, and product teams; track platform KPIs (API adoption, reliability, latency) and prioritize developer experience improvements.

Design, configure, administer, and optimize global commission programs in SPIFF. Build rules, maintain compensation data and dashboards, support annual planning and audits, analyze attainment and ad hoc requests, recommend process improvements and document best practices while partnering with HR, Finance, Sales, and business leaders.

The Sr. Technical Architect leads technical design and documentation for SaaS solutions, focusing on Salesforce integration, performance optimization, and Agile methodologies.

Senior technical leader designing, building, and evolving cloud infrastructure, automation, and platform capabilities. Lead DevOps architecture, CI/CD, IaC, Kubernetes/Docker orchestration, cloud migrations (AWS/Azure), security/compliance, observability, and SRE practices while mentoring teams and driving platform modernization and reliability for enterprise SaaS.

Lead APAC go-to-market: own regional GTM strategy, revenue (ARR/NRR), forecasting, and pipeline. Build and run Sales, Presales (Solution Consulting), SDRs, and partner programs. Align cross-functionally with marketing, product, and customer success to scale enterprise SaaS growth across APAC.

Provide global technical support for Conga CRM products: troubleshoot, debug, identify root causes, and resolve customer issues. Work with integrations, workflows, security settings, SQL queries and application code to ensure solutions remain operational and customers meet SLAs. Communicate with customers and escalate when needed; work rotational shifts to support global time zones.

Own strategy, roadmap, and execution for the Rebate Management product. Define product requirements, prioritize backlog with engineering, translate customer feedback into features, track product-health metrics, and align cross-functionally with Pricing, CPQ, and Data Platform teams to deliver integrated commercial workflows.

Lead and architect end-to-end ML/AI solutions across multiple projects. Own model design, development, fine-tuning, deployment and integration into business applications. Optimize production ML systems for performance and scalability, mentor engineers, coordinate cross-functional teams, and ensure timely delivery of ML initiatives. Apply transformer fine-tuning and recommender/search techniques on cloud platforms.

Design, implement, optimize, and deploy machine learning models and pipelines for production. Perform data processing, feature engineering, model training, evaluation, and runtime tuning. Collaborate with engineers on integration and infrastructure, maintain technical documentation, participate in code reviews, and support sales/implementation teams with technical guidance.