GraphAware

Support Engineer

• Manage our technical support function for GraphAware Hume, our graph-powered intelligence platform
• Provide advanced technical support to our global customer base, ensuring fast and effective issue resolution while continuously improving support processes and tools
• Act as Level 2 (L2) support, independently troubleshooting and resolving reported technical issues, escalating to L3 as needed with complete technical documentation
• Lead and coordinate support operations across time zones, ensuring stability, responsiveness, and continuous service improvement
• Contribute to support process design, including SLA structures, metrics definition, and team workflows
• Collaborate with engineering and product teams to ensure smooth issue resolution, knowledge sharing, and process consistency
• Maintain and enhance documentation and internal knowledge bases (KB) for efficient future issue resolution
• Provide online technical support to enterprise customers globally
• Participate in root cause analysis, monitor recurring issues, and propose improvements to systems and processes

Technical Support Engineer

Content Writer

• As a Content Writer at GraphAware, you will own the content function, creating high-quality written content that demonstrates the impact of our graph-powered intelligence analysis platform across the law enforcement, public safety, and intelligence domains.
• You will source, create and edit content from across the business, translating complex topics into clear and compelling narratives tailored to our target audience.
• Collaborate with our Marketing Director to develop and deliver a quality-first content and editorial plan.
• Balance content needs across the customer lifecycle, from thought leadership and demand generation, to customer engagement and advocacy.
• Build strong relationships with internal subject matter experts, external partners and customer advocates to identify new content opportunities, and make them a reality.
• Produce clear, concise, audience-appropriate content including blog posts, articles, landing pages, case studies and emails.
• Translate technical concepts (graph analytics, AI capabilities, ETL workflows, data pipelines, etc.) into impact-led narratives, anchored in customer needs and real-world use cases.
• Define and maintain a consistent GraphAware voice across all written marketing materials.
• Work with Product and Engineering teams to prepare accurate and compelling product announcements and release-related content.
• Develop thought leadership content that explains the value of graph-powered intelligence analysis to our target domains, including LinkedIn content when needed.
• Act as the content expert for the marketing team, establishing a content sign-off process and acting as the first-line reviewer of new materials.
• Support agency-produced video content with storyboards, scripts, and messaging.
• Contribute written assets for demand generation campaigns.
• Refresh and optimise existing content to maintain relevance, accuracy, performance, and alignment with our positioning and tone of voice.
• Conduct interviews with internal subject matter experts to gather insight and perspective.
• Work closely with Product, Engineering, Marketing, and Customer Success teams to ensure content reflects customer needs, real use cases, and accurate positioning.
• Help shape and evolve GraphAware’s content voice.

Solutions Engineer

• As a Solution Engineer at GraphAware, you’ll help customers unlock the full value of their connected data using GraphAware Hume, our graph-powered intelligence analysis platform.
• Design and deliver high-quality, end-to-end graph solutions that address customers’ analytical and operational needs, using GraphAware Hume, Neo4j, Python, and modern ML, AI, and LLM technologies.
• Translate business objectives into robust technical implementations and ensure successful adoption and measurable outcomes.
• Build trusted, long-term relationships with customers, acting as a technical advisor and ensuring their continued success.
• Design and deliver tailored GraphAware Hume demonstrations and solution prototypes, contribute to internal demo environments and pre-sales assets.
• Participate in online and offline marketing and sales related activities.
• Lead technical discussions during sales calls, workshops, and proof-of-value projects, contribute to solution proposals, implementation plans, and technical documentation.
• Train and advise customers, partners, and internal teams on Hume capabilities and best practices.
• Collaborate closely with Product and Engineering teams, sharing feedback and field insights.

Solution Engineer

Technical Product Manager

• You will be reporting to the Head of Product and own the roadmap for Orchestra, the specialised low-code data orchestration component acting as the enterprise integration backbone for GraphAware Hume, our flagship product.
• Shape and evolve the low-code data integration product roadmap in line with company vision and customer needs.
• Translate insights from customers and market trends into actionable product priorities.
• Partner with engineering, UX, and technical writing to deliver impactful features.
• Balance innovation with technical feasibility and operational reality.
• Keep the backlog focused, transparent, and value-driven.
• Participate in broader product architecture discussions to understand how Orchestra can be used to solve internal product needs and align platform capabilities across GraphAware Hume.
• Ensure clear communication of product vision and roadmap across teams.
• Equip Sales and Marketing with product knowledge and updates.
• Use customer feedback and product metrics to guide future development.

Backend Engineer

• Design and implement platform functionality for creating and running ingestion workflows within the intelligence platform.
• Build connectors and reusable components that can be plugged into user-defined pipelines.
• Ensure pipeline orchestration, monitoring, and error handling are robust and user-friendly.
• Work with the data science team to understand prototypes and engineer them into production-ready services.
• Support the evolution of conversational interfaces that bridge graph data models and LLMs.
• Explore GenAI opportunities for intelligent mapping, enrichment, or transformation.
• Build and evolve conversational AI capabilities.
• Implement observability features (metrics, logs, tracing) for both pipelines and integrations.
• Collaborate with product and UX teams to ensure pipeline creation is intuitive for end users.
• Review code, contribute to architectural discussions, and mentor peers.
• Take end-to-end ownership of features from design through production in a remote-first team.

Technical Support Engineer

Content Writer

Solution Engineer

Technical Product Manager

Senior Java Engineer