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Tempo is a leader in Atlassian Marketplace apps, serving more than 30,000 customers—including a third of the Fortune 500—with an award-winning SPM suite that evolved from a popular time-tracking tool to a modular, scalable platform and a vision of harmonized work around high-impact opportunities. The role is Account Director for New & Expansion in Tempo's Enterprise segment, focused on the EMEA region, responsible for driving end-to-end sales—from qualification to close and account care—while representing Tempo and coordinating with partners, pre-sales, and sales engineers. Key responsibilities include articulating Tempo's value to large enterprises, collaborating with top solutions partners to pursue and close multi-million deals, building and managing pipeline in Salesforce, and helping design pricing and engagement models for large deployments. Candidates should have 6+ years in enterprise B2B SaaS selling to Fortune 500 or major logos, a track record of quota attainment and bringing in new logos through complex sales cycles, strong relationship-building with executives, and familiarity with Atlassian Marketplace or related ecosystems; French language is a plus. Tempo emphasizes impact, innovation, collaboration, and growth, offering a remote-first environment, unlimited vacation in most locations, comprehensive benefits, travel to offices as needed, and an inclusive, equal-opportunity culture—apply in English.

Tempo serves over 30,000 customers, including about a third of Fortune 500, and offers an integrated suite for time management, resource planning, budgeting, roadmapping, and program management, evolving from a 2007 time-tracking tool to the #1 time management add-on for Jira in the Atlassian ecosystem. The company aims to help teams work better through continuous product innovation and a culture described as having a heart. The SRE role is in Tempo's European team, working with the Global SRE group to design, implement, and maintain infrastructure on AWS using Kubernetes, Docker, Git, Linux, Bash, and Terraform, automate build and release processes, monitor and support on-call, and ensure security and compliance. Candidates need 6+ years of relevant experience, strong Kubernetes, Docker, Linux, Bash, Git, Terraform, cloud deployment on AWS, and proficiency in at least one programming language, with desirable experience in Helm, FluxCD, GitHub Actions, Ansible, Datadog, Java/Kotlin apps, and Atlassian ecosystem. Tempo offers a remote-first environment with comprehensive benefits, professional development opportunities, travel to international offices, diverse teams, and an inclusive, equal-opportunity workplace.

Zendesk is seeking a Staff Machine Learning Engineer to level up its full-text search platform and AI-powered products, including retrieval-augmented-generation bots, used by over 145,000 global brands. The role involves delivering AI capabilities at scale with the latest LLM tech, collaborating with Product Management, ML scientists, and engineers to define features, mentoring juniors, maintaining service stability, writing clean code, and contributing to technical design, while tackling challenges like expanding RAG use cases, hybrid search, ranking, indexing speed/cost, and multi-channel retrieval. Basic qualifications include proficiency in Python or Ruby, solid software architecture knowledge, a collaborative growth mindset, ability to work independently, experience building scalable applications, and the ability to form hypotheses and analyze experiments. Preferred qualifications include designing and optimizing ML-based search (Elasticsearch), AWS cloud experience, and event-driven architectures using Kafka. The tech stack features Python/Ruby, PyTorch, AWS, data stores such as MySQL, Redis, S3, Elasticsearch, Kafka, and Snowflake, with Kubernetes and Docker for deployment and Datadog/Sentry for monitoring, and Zendesk offers growth opportunities, ownership at scale, specialization options, a hybrid work policy, and a commitment to equal opportunity and inclusion with accommodations for applicants.