Top Tech Jobs & Startup Jobs

Lead Atlassian’s analyst relations program for AI Software Delivery solutions. Build relationships with industry analysts, coordinate responses for major evaluations, translate research into market intelligence, advise product and marketing teams on positioning, and improve analyst engagement through new formats and AI-powered workflows.

Lead pre-sales technical engagements for enterprise UK public-sector customers. Partner with sales teams and Atlassian partners to discover business needs, map them to Atlassian solutions, identify expansion opportunities, and deliver tailored value-based demonstrations. Advise customers on technical requirements, procurement, security, and compliance considerations, while gathering competitive intelligence and advocating for customer needs internally.

Supports product, design, and engineering teams by researching customer needs, competitors, market trends, and AI tools. The intern will translate insights into feature plans, identify product opportunities, build prototypes, collaborate with customers and partners, and help create innovative product solutions. The role requires full-time enrollment in a technical degree program and availability for a 40-hour weekly internship in the Pacific Time Zone.

Serve as a pre-sales specialist for Atlassian’s Strategy Collection, partnering with sales teams to discover enterprise planning challenges, architect solutions, lead executive demonstrations and workshops, identify cross-product opportunities, and relay customer and competitive insights to internal teams. The role requires expertise in strategic portfolio management, enterprise planning, workforce planning, agile transformation, complex SaaS platforms, consultative discovery, and executive communication, plus fluent German and English.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Own the full sales cycle for new business and strategic expansion across DACH and EMEA enterprise accounts. Prospect, qualify, demo, run proofs of concept, develop business cases, negotiate, and close complex SaaS opportunities. Build and manage pipeline, forecast accurately, guide buyers through evaluations, develop executive and technical relationships, and provide customer and market feedback to improve product and go-to-market strategies.

Leads Atlassian’s AMER Trust Engagement team, overseeing customer trust, security, compliance, privacy, legal, and sales interactions. Responsibilities include team leadership, strategic planning, process and tooling improvements, cross-functional initiatives, enterprise customer escalations, executive briefings, trust strategy presentations, and security and compliance contract negotiations. The role requires extensive experience in security, governance, risk, compliance, cloud environments, AI security, privacy, and enterprise-scale trust programs.

Own the full sales cycle for mid-market Benelux prospects, from prospecting and qualification through negotiation and close. Run demos, proof-of-concept engagements, and business case discussions; build and forecast pipeline accurately; guide buyers through complex evaluations; and provide customer and market feedback to improve product and go-to-market strategy. The role requires 3+ years of B2B SaaS or technology closing experience, successful $200K+ ARR deals, and fluency in English and Dutch.

Lead technical aspects of enterprise sales cycles for the DX product, including discovery, technical evaluations, proofs of concept, pilots, solution design, product demonstrations, and API integrations. Advise prospects on deployment and analytics best practices, translate technical concepts into business value, and relay customer feedback to Product and Engineering teams.

Lead hands-on development of generative AI products grounded in enterprise knowledge. Design LLM, embedding, multimodal, fine-tuning, retrieval-augmented, and agentic solutions; rapidly prototype and evaluate GenAI applications; and scale successful experiments into production systems. Provide technical direction to a tiger team, mentor engineers and scientists, influence retrieval and serving architecture, shape innovation strategy, and promote responsible AI, groundedness, and data quality.