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Pricing Strategy & Analytics: Analyze pricing data, customer usage, and market trends to develop and optimize pricing models that drive revenue and align with business goals.
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Office and Facilities Management
Research and Communication: • Conduct thorough research on emerging features and technologies to stay updated and ensure documentation reflects the latest developments. • Communicate regularly with engineers and product owners to gather detailed information about upcoming features and align documentation with product development.
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Discovering Customer Requirements: • Diagnose technical and business pain, confirming root causes and negative consequences. • Engage key stakeholders to confirm desired future state, mapping it to success metrics and business outcomes. • Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams.
Personal Capabilities Required, e.g. skills, attitude, strengths
Talent Attraction, Selection, and Assessment: Source high-quality, diverse candidates using innovative methods and build talent pools through proactive outreach. Develop strong candidate shortlists with an emphasis on skill, diversity, and cultural fit.
Have worked with some of the following key technologies: Prometheus, Grafana, Elasticsearch, Logstash, Kibana, OpenTelemetry, Micrometer, New Relic, Data Dog • Be experienced with cloudformation, terraform and any other infrastructure-as-code technologies. • Have a solid understanding of networking systems and protocols • Be confident in your ability to own and deliver projects and issues to resolution using Agile methodologies and demonstrate a definite bias for action and focus on results • Be an excellent communicator and cross-team collaborator • Strive for personal excellence through continuous development and by keeping current with developments and offerings in the observability field • Have a passion for solving problems • Personal Capabilities Required - Inquisitiveness- digging into problems and solutions to understand the underlying technology • Autonomy - ability to work on a task and solve problems independently • Motivation - sets personal challenges and constantly looking to stretch themselves • Problem solving - recognition of problems and recasting difficult-to-solve problems in order to find unique and innovative solutions • Integrity - honest and transparent in dealing, open to voice and accept criticism, is trustworthy and builds credibility through actions • Detail focussed - pays attention to the details and can make a conscious effort to understand causes instead of just the effects • Big picture aware - understands the scope and impact of a problem or solution
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Have worked with some of the following key technologies: Prometheus, Grafana, Elasticsearch, Logstash, Kibana, OpenTelemetry, Micrometer, New Relic, Data Dog • Be experienced with cloudformation, terraform and any other infrastructure-as-code technologies. • Have a solid understanding of networking systems and protocols • Be confident in your ability to own and deliver projects and issues to resolution using Agile methodologies and demonstrate a definite bias for action and focus on results • Be an excellent communicator and cross-team collaborator • Strive for personal excellence through continuous development and by keeping current with developments and offerings in the observability field • Have a passion for solving problems • Inquisitiveness- digging into problems and solutions to understand the underlying technology • Autonomy - ability to work on a task and solve problems independently • Motivation - sets personal challenges and constantly looking to stretch themselves • Problem solving - recognition of problems and recasting difficult-to-solve problems in order to find unique and innovative solutions • Integrity - honest and transparent in dealing, open to voice and accept criticism, is trustworthy and builds credibility through actions • Detail focussed - pays attention to the details and can make a conscious effort to understand causes instead of just the effects • Big picture aware - understands the scope and impact of a problem or solution
Personal Capabilities Required, e.g. skills, attitude, strengths
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Maintain the base of official training for Matillion’s customers, on subjects such as: Platform Best Practices, APIs, Data Warehousing, Git, AI • Write and publish thought leadership articles on subjects of interest and important to the business • Maintain deep awareness of complementary cloud platforms including AWS, Azure, and GCP and cloud data platforms including Google BigQuery, Amazon Redshift, Azure Synapse and Snowflake. Knowledge of Delta Lake for Databricks is a plus. • Collaborate with product managers, engineers, and marketing team members to identify ways to improve Matillion products as well as partner and customer outcomes • Represent the voice of the customer to inform product roadmap priorities, contribute to the development of success plans in partnership with the Success Management team, and identify expansion opportunities within existing accounts. • Minimum 3-5 years of experience working with customers in a technical consulting role as part of a consulting organization • Hands-on expertise with on-premise data solutions, data warehouses, ETL products or other data analytics solutions • Experience with AWS Redshift, Snowflake, Google Big Query, Microsoft Azure or Matillion is highly valued • Ability to create structure in ambiguous situations and design effective solutions • A degree in computer science, engineering, mathematics, data analysis, or equivalent is a plus
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Plan and Execute Campaigns: Develop detailed plans and implement multi-channel marketing campaigns across email, social media, paid search, and content initiatives.
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Shape Pricing Strategy: Analyse customer usage, product adoption, and market dynamics to design data-informed pricing and packaging models.
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Familiarity with at least one cloud platform: AWS, GCP, or Azure. • Solid understanding of the Software Development Life Cycle and Agile methodologies (e.g., Kanban, Scrum). • Knowledge of backend integration using REST APIs, WebSockets, or GraphQL, with appropriate data structures and stores.
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Drive Revenue Growth: Manage and expand existing customer accounts through upsells, cross-sells, and renewals, ensuring quarterly quota attainment and increased customer satisfaction.
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Metrics driven: you are proficient in measuring success, value and gaps.
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Content powerhouse with a focus on business impact — creates high-quality, customer-facing content across the funnel: web, decks, solution briefs, email, and sales tools that educate, engage, and convert. • Simplifier of the complex — takes technical, nuanced product capabilities and turns them into easy-to-grasp value propositions that resonate with both C-suite decision-makers and hands-on users. • Trusted cross-functional partner — known for building strong, collaborative relationships across Sales, Product, and Marketing teams to ensure alignment and amplify go-to-market efforts. • Proactive and driven — doesn’t wait around. Constantly looking ahead, identifying opportunities, and pushing initiatives forward with urgency and ownership. • Results-focused — tuned into metrics that matter. Obsessed with moving the needle on awareness, engagement, adoption, and revenue.
Shape Pricing Strategy: Analyze customer usage, product adoption, and market dynamics to design data-informed pricing and packaging models.
Own your workflow: writing high-quality, maintainable code, testing it, deploying it to production, and supporting it post-release. • Participate in regular code reviews, knowledge-sharing sessions, and innovation initiatives focused on new technologies including GenAI. • Contribute to internal research projects around LLMs, prompt optimization, and AI-enhanced product features. • Continually develop your skills—both technical and interpersonal—through mentoring, self-learning, and team collaboration. • Understand the domain and architecture of the system to help manage risk and guide improvements in processes and decision-making. • Essential Skills & Experience • Strong programming skills in Java with solid knowledge of OOP, design principles, and coding best practices. • Experience building microservices using Spring and deploying them via container technologies (e.g., Docker). • Comfortable working with relational databases and capable of writing efficient SQL. • Experience in the full SDLC including CI/CD tooling and working in an Agile environment. • Familiarity with cloud-native development, especially on AWS. • Strong collaboration skills with the ability to adapt across a variety of technical challenges. • Generative AI / LLM Expertise (Essential) • Experience working with LLM APIs (e.g., OpenAI, Anthropic, HuggingFace). • Skilled in prompt engineering to tune prompts and maximize LLM output quality. • Understanding and implementation of Retrieval-Augmented Generation (RAG) workflows. • Working knowledge of LLM concepts like system/user prompts, tokens, embeddings, context windows, temperature, top-p, and stop sequences. • Nice to Have • Experience with fine-tuning language models or training smaller models. • Familiarity with prompt compression techniques to optimize context length. • Exposure to GenAI architectures such as prompt chaining, routing, agentic design, etc. • Experience using Spring AI or similar libraries that abstract LLM integrations. • Familiarity with evals frameworks to benchmark and assess LLM performance.
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Lead Innovation: Design and deploy advanced Generative AI (Gen AI) solutions directly into Matillion’s product ecosystem.
Experiment & Optimise: Run structured evaluations to improve performance, speed, and cost-efficiency of large language models (LLMs).
Bridge Dev and AI: Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines.
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Lead by example: Contribute hands-on to software development, championing high-quality code and robust architecture.
Metrics driven: you are proficient in measuring success, value and gaps.
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Talent Attraction, Selection, and Assessment: Source high-quality, diverse candidates using innovative methods and build talent pools through proactive outreach. Develop strong candidate shortlists with an emphasis on skill, diversity, and cultural fit.
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