Enterprise Solutions Sales Executive

Engagement Manager (German Speaking)

Location: Germany or UK (no relocation support). Works within Atlassian Advisory Services to partner with large enterprise customers.

• Primary client contact throughout the engagement lifecycle.
• Manage scope, deliver projects on time and within resources.
• Identify growth opportunities and accelerate time‑to‑value.
• Build enduring client relationships and coordinate with internal Atlassian teams.
• Travel up to 30% domestically or internationally for client and internal events.
• Account Executive, Enterprise

Location: Remote (UK based); open to other countries with a legal entity. Serves Fortune 500 customers.

• Develop named account or territory plans and execute strategic sales plans.
• Identify and qualify leads, build relationships with decision makers.
• Deliver presentations, negotiate contracts, and close deals.
• Forecast, provide account plans, and stay informed on industry trends.
• Serve as main contact or escalation point and run strategy plays.
• Travel to meet clients and attend events.
• Senior Principal Engineer, Search Platform

Responsible for technical roadmap of Search Data pillar, building secure, scalable search for Atlassian data and external apps.

• Shape architecture, data pipelines, and operational excellence.
• Drive initiatives balancing freshness, correctness, cost, and operability.
• Mentor engineers and foster an ownership culture.
• Lead cross‑team collaboration and design observable, testable systems.
• Senior Machine Learning Systems Engineering Manager – AI & ML Platform

Lead the AI & ML platform team building infrastructure for generative LLMs, GPU‑accelerated model serving, and feature stores.

• Influence platform direction and build empowered engineering teams.
• Coach and support individual development and growth.
• Improve engineering and operational practices and provide thought leadership.
• Design Manager – JSM

Lead design initiatives for Jira Service Management, focusing on AI‑enabled features and inclusive experiences.

• Recruit, mentor, and build a diverse design team.
• Set vision, deliver initiatives from idea to launch, and drive AI adoption.
• Communicate plans clearly to stakeholders.
• Technical Account Manager – Japan (Miro)

Strategic customer‑facing role guiding workflow transformation and AI adoption for enterprise clients.

• Redesign Discover–Define–Deliver workflows and optimize AI interventions.
• Drive API integration, platform health, and change management.
• Deliver data‑driven quarterly business reviews.
• Require 5+ years in enterprise Saa S, native Japanese & business English.
• Strategic Account Executive – South Africa (Git Lab)

Lead large prospects and customers with pre‑ and post‑sales account leadership.

• Develop formal quotes, proposals, and account plans.
• Generate leads with partners, collect customer feedback for product improvement.
• Strong negotiation, presentation, and closing skills required.
• Staff Fullstack Engineer – Data Products (Git Lab)

Build in‑product insights using the Data Insights Platform and Knowledge Graph.

• Architect ingestion, modeling, and data delivery pipelines.
• Integrate with Jira and other third‑party tools.
• Mentor engineers and coordinate across teams.
• Senior Solutions Architect – Global SI (India)

Trusted partner advisor collaborating with GSI partners to deliver subscription‑based services.

• Own technical activation and partner engagement.
• Identify and address technical gaps, build reference architectures.
• Influence product roadmap through partner feedback.
• Senior Revenue Analytics Analyst (Git Lab)

Translate sales data into AI‑enabled insights for go‑to‑market teams.

• Design and maintain analytic solutions, segment data, and perform experiments.
• Collaborate with cross‑functional stakeholders and communicate findings.
• Experience in Saa S analytics, SQL, Python, and BI tools required.
• Senior Named Account Executive – DACH (Git Lab)

Primary link to mid‑market customers, managing the full sales cycle.

• Discover customer needs and articulate Dev Sec Ops value.
• Maintain pipeline, conduct win/loss analyses, and represent customer voice.
• German fluency and travel willingness required.
• Senior Backend Engineer – AI Engineering: AI Coding (Git Lab)

Design and build the event platform for AI‑powered workflow triggers.

• Architect high‑availability, high‑throughput systems in Rails.
• Collaborate with product, design, and engineering teams.
• Ruby & Rails expertise required; AI integration experience preferred.
• Revenue Analytics Manager (Git Lab)

Translate sales and go‑to‑market data into actionable insights and AI tools.

• Lead analytics projects, manage dashboards, and ensure data quality.
• Proficiency with Snowflake, dbt, SQL, and Python required.
• Experience with AI‑driven analytics tools a plus.
• Manager, Engineering – Git & Gitaly Operations (Git Lab)

Lead the Git infrastructure team across Self‑Managed, Dedicated, and Saa S deployments.

• Build and mentor a team of Git experts.
• Own production reliability and incident management.
• Design service models and maintain cloud‑agnostic architecture.
• Intermediate Backend Engineer – Analytics Instrumentation (Git Lab)

Develop a unified data collection platform for usage and billing metrics.

• Build pipelines with Go, Kubernetes, Click House, and NATS.
• Improve data emission quality and support instrumenting APIs.
• Collaborate with research and product teams for data‑driven decisions.
• Enterprise Account Executive – DACH (Git Lab)

Own mid‑market and enterprise book, guiding customers through AI‑powered Dev Sec Ops deployments.

• Manage full sales cycle, articulate value, and maintain pipeline.
• German fluency, strong negotiation and presentation skills required.
• Engineering Manager – Switchboard (Git Lab)

Lead the Switchboard team responsible for tenant management in Git Lab Dedicated environments.

• Own full‑stack product delivery and product‑design coordination.
• Drive cross‑functional execution and improve quality, security, performance.
• Experience in building large‑scale distributed services preferred.
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