Top Tech Jobs & Startup Jobs

Lead APAC FP&A, planning and reporting for GTM functions; deliver actionable insights using Anaplan and AI, manage P&L analysis, partner with Sales Ops and leadership, and automate financial reporting to drive profitable growth.

Build scalable backend services and MLOps infrastructure for production forecasting and predictive models. Responsibilities include designing training and deployment pipelines, productionizing data science models, improving forecasting and data-processing services, operating high-availability systems, participating in on-call rotations, leading technical reviews, mentoring engineers, and driving platform improvements.

Investigate and resolve complex customer technical issues through support tickets, using deep knowledge of Anaplan’s platform and monitoring tools such as Grafana. Collaborate with Engineering, Product, Operations, and Customer Success teams; track bugs, lead release reviews, onboard support teams to new features, document investigations, and provide 24/7 emergency coverage through an on-call rotation.

Lead and scale Anaplan’s regional Partner Success team across the AMER market. Develop partner enablement and delivery excellence programs, manage and coach Partner Success specialists, establish joint operating models across internal teams, and measure program outcomes. Build strategic relationships with consulting, technology, and cloud partners while improving partner readiness, adoption, implementation quality, revenue, retention, and customer value. Engage senior internal and external stakeholders to support the company’s Apps-led growth strategy.

Leads the AMER Partner Success team and partner enablement strategy across consulting, technology, and cloud partners. Oversees partner-led delivery excellence, implementation quality, operating models, performance measurement, and cross-functional collaboration with sales, marketing, product, professional services, and customer success. Coaches team members, develops partner capabilities, drives adoption and revenue growth, and builds strategic partner relationships involving SaaS, data, AI, and machine learning solutions.

Lead the architecture, development, deployment, and optimization of production Generative AI and machine learning systems. Build end-to-end AI features, APIs, conversational interfaces, agentic workflows, RAG implementations, evaluation frameworks, and model monitoring. Optimize inference for performance, cost, and scalability while collaborating with data scientists to productionize models and forecasting algorithms. The role requires strong Python software engineering, LLM integration, prompt engineering, fine-tuning, MLOps, and LLMOps expertise.

Lead the architecture and production deployment of generative AI and machine learning systems. Build end-to-end AI features, APIs, conversational interfaces, agentic workflows, RAG implementations, evaluation frameworks, monitoring, and inference pipelines. Integrate and fine-tune LLMs for enterprise planning applications while optimizing performance, cost, scalability, and reliability. Collaborate with data scientists to productionize ML models and forecasting algorithms.

Lead and scale Anaplan’s AMER Partner Success organization. The role owns partner enablement, delivery excellence, readiness measurement, and joint operating models across consulting, technology, systems-integrator, ISV, and cloud partners. Responsibilities include managing and coaching Partner Success specialists, coordinating with sales, marketing, product, professional services, and customer success teams, improving partner-led implementations, tracking KPIs, advocating for partners, and driving growth, adoption, revenue, retention, and customer outcomes through the partner ecosystem.

Develop and deliver reliable, scalable SaaS software in an autonomous Agile team. Design backend microservices using Java, Kotlin, Spring Boot, and the JVM; promote best practices for safe, zero-downtime production deployments; write comprehensive tests; solve complex architectural problems; and support, enable, and mentor teammates.

Architects, scales, and automates multi-cloud infrastructure supporting high-volume workloads. Responsibilities include developing Kubernetes controllers and operators, building chaos engineering frameworks, optimizing compute and networking costs, tuning Linux kernels, implementing eBPF-based security and routing, and embedding cryptographic attestation into CI/CD pipelines. The role also requires expertise in distributed consensus, global database replication, active-active deployments, service meshes, and zero-downtime production operations.