Top Tech Jobs & Startup Jobs

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Enterprise solution seller responsible for driving new business and expansion across AMER and APAC. Develops strategic plans, exceeds bookings and OKR targets, closes complex six- and seven-figure SaaS transactions, builds CXO-level relationships, generates pipeline with sales and channel partners, presents forecasts, and monitors market and competitive shifts. Requires extensive enterprise cloud software sales experience and expertise in Strategic Portfolio Management, PPM, ERP, or CRM solutions.

Lead and manage account executives to drive revenue, grow customer relationships, hit sales targets and quotas, oversee pipeline and forecasting, and collaborate with marketing, product, and customer success to expand accounts.

Serve as a pre-sales Solutions Engineer for Atlassian’s Emerging Markets team, focusing on enterprise customers in Africa. Partner with sales teams and channel partners to discover business and technical needs, map challenges to Atlassian solutions, identify expansion opportunities, and lead customized value-based demonstrations. Build customer and sales partnerships, guide technical buying decisions, document product feedback and competitive intelligence, and continuously develop product and sales-process expertise.

Lead and develop a team of 6–8 Mid-Market sellers serving UKI customers. Responsibilities include creating sales strategies, achieving revenue targets, coaching and mentoring sellers, recruiting Account Executives, setting performance goals, analyzing sales trends, improving sales processes, and collaborating with internal teams and partners. The manager will also build talent pipelines, manage key stakeholder relationships, and identify market growth opportunities.

Lead design and deployment of production-grade ML systems (ranking, retrieval, LLMs). Drive architecture decisions, run experiments and evaluations, build scalable feature pipelines and monitoring, mentor engineers, and collaborate cross-functionally to integrate AI into products and scale ML capabilities.

Manage a portfolio of LATAM SMB accounts and own the full sales cycle from prospecting to close. Drive inbound follow-up and outbound outreach, qualify needs with consultative selling, execute territory and account plans, collaborate with solutions and partners, guide pricing/licensing, provide forecasts, and surface customer feedback to product teams.

Lead the technical vision and development of scalable ML and AI evaluation systems for Atlassian’s Rovo Chat. Build agentic capabilities, datasets, simulations, automated judges, experimentation platforms, and quality signals. Identify failure modes, ship interventions, and improve customer outcomes while balancing quality, latency, reliability, safety, and cost. Provide cross-organizational technical leadership, mentorship, design guidance, and strategic direction for AI products.

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, content management system integrations, and reliable features and services. The role requires JavaScript or TypeScript experience with React and Node.js, REST platform integrations, Git collaboration, HTML and Sass/CSS, server technologies, and cross-functional work with UX and visual designers. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Lead and grow the EMEA Forward Deployed Engineering team to design, deliver, and deploy applied AI/ML solutions. Hire and mentor engineers, drive 0-to-1 product development, ensure production-grade architectures, monitor models in production, manage AI risk and GDPR compliance, and align technical work with business outcomes while communicating with stakeholders.