Legatics Limited
The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success. This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage. You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work. Key Responsibilities AI Engineering & Intelligent Automation Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams. Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification. Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting). Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss. Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms. Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams. Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement. Revenue Analytics & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Commercial Systems & Data Infrastructure Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses. Act as commercial data and systems owner: define data models, governance, definitions and quality standards. Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights. Ensure seamless integration between product telemetry, CRM data and commercial analytics systems. Stakeholder Management & Technical Leadership Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy. Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them. Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity. Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority. Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working. Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications. Essential 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development. Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications. Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches. Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly. Comfortable working with product usage and adoption data Ability to translate business problems into technical solutions and measure impact on commercial outcomes. Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value. Pragmatic builder: bias for shipping working solutions over perfect architectures. Desirable Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable). Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot). Background in Revenue Operations, Commercial Analytics or SaaS growth analytics. Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight. Understanding of causal inference methods for measuring intervention impact. Experience in legal tech, professional services software or complex B2B sales environments. Track record of building internal tools or platforms used by non-technical teams. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale-ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success. This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage. You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work. Key Responsibilities AI Engineering & Intelligent Automation Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams. Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification. Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting). Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss. Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms. Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams. Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement. Revenue Analytics & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Commercial Systems & Data Infrastructure Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses. Act as commercial data and systems owner: define data models, governance, definitions and quality standards. Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights. Ensure seamless integration between product telemetry, CRM data and commercial analytics systems. Stakeholder Management & Technical Leadership Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy. Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them. Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity. Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority. Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working. Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications. Essential 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development. Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications. Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches. Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly. Comfortable working with product usage and adoption data Ability to translate business problems into technical solutions and measure impact on commercial outcomes. Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value. Pragmatic builder: bias for shipping working solutions over perfect architectures. Desirable Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable). Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot). Background in Revenue Operations, Commercial Analytics or SaaS growth analytics. Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight. Understanding of causal inference methods for measuring intervention impact. Experience in legal tech, professional services software or complex B2B sales environments. Track record of building internal tools or platforms used by non-technical teams. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale-ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
Legatics Limited
About Legatics Legatics is one of the world's leading LegalTech scale-ups. We put users at the heart of our design to provide legal transaction experiences that everybody loves, and we're on a mission to transform the market for legal services worldwide. Legatics is a transaction management platform that streamlines the way lawyers collaborate and close deals, transforming traditional paper and email based processes into simple, highly automated software that frees lawyers from administrative tasks and improves profitability. Our customers include some of the world's top law firms, and Legatics has been used on live transactions originating in more than 20 countries. The role You'll build production AI systems that change how our commercial teams work. This is a hands on engineering role: you'll design, ship and maintain LLM powered applications, automation and models that solve real problems across Sales, Marketing and Customer Success. You'll work close to the business, turning messy commercial questions into working software. What you'll do Design, build and deploy production AI applications (LLM powered tools, agents, automation) that commercial teams use daily. Build and maintain ML models for problems like churn risk, lead scoring, pipeline and revenue forecasting, and expansion signals. Ship fast: prototype, get it in front of users, iterate. You'll own features end to end, from data to interface. Integrate systems via APIs so data flows cleanly between our CRM, product analytics and data warehouse. Work directly with commercial leaders to find the highest impact problems, then build the tools that solve them. Set sensible practices for responsible AI (evaluation, monitoring, bias, explainability) as we scale usage. What we need from you 4+ years building and shipping production software, with recent hands on work deploying AI/ML or LLM powered applications. We care about what you've built and run in production, not just prototyped. Strong general engineering fundamentals: you write clean, maintainable code (Python or similar), work confidently with APIs, databases and modern data stacks, and can reason about system design. Practical experience building applications on LLMs (OpenAI, Anthropic, open-source), including prompt engineering and RAG architectures. Experience training, deploying or productionising ML models, and measuring whether they actually work. Ability to translate a vague business problem into a technical solution and measure its commercial impact. Strong communication: you can present to non technical stakeholders and C suite, and translate technical work into business value. Bias for shipping working solutions over perfect architectures. Desirable Experience with commercial or CRM data (Salesforce especially), or a willingness to own it. Familiarity with fine tuning, evaluation frameworks or causal inference for measuring intervention impact. Experience with BI tools (Tableau, Looker, Power BI, QuickSight) and building dashboards. Background in RevOps, commercial analytics or SaaS growth analytics. Experience in LegalTech, professional services software or complex B2B sales environments. Track record of building internal tools used by non technical teams. Bonus points (not essential) Exposure to B2B SaaS, regulated industries or LegalTech. Experience collaborating directly with Product and Customers. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
About Legatics Legatics is one of the world's leading LegalTech scale-ups. We put users at the heart of our design to provide legal transaction experiences that everybody loves, and we're on a mission to transform the market for legal services worldwide. Legatics is a transaction management platform that streamlines the way lawyers collaborate and close deals, transforming traditional paper and email based processes into simple, highly automated software that frees lawyers from administrative tasks and improves profitability. Our customers include some of the world's top law firms, and Legatics has been used on live transactions originating in more than 20 countries. The role You'll build production AI systems that change how our commercial teams work. This is a hands on engineering role: you'll design, ship and maintain LLM powered applications, automation and models that solve real problems across Sales, Marketing and Customer Success. You'll work close to the business, turning messy commercial questions into working software. What you'll do Design, build and deploy production AI applications (LLM powered tools, agents, automation) that commercial teams use daily. Build and maintain ML models for problems like churn risk, lead scoring, pipeline and revenue forecasting, and expansion signals. Ship fast: prototype, get it in front of users, iterate. You'll own features end to end, from data to interface. Integrate systems via APIs so data flows cleanly between our CRM, product analytics and data warehouse. Work directly with commercial leaders to find the highest impact problems, then build the tools that solve them. Set sensible practices for responsible AI (evaluation, monitoring, bias, explainability) as we scale usage. What we need from you 4+ years building and shipping production software, with recent hands on work deploying AI/ML or LLM powered applications. We care about what you've built and run in production, not just prototyped. Strong general engineering fundamentals: you write clean, maintainable code (Python or similar), work confidently with APIs, databases and modern data stacks, and can reason about system design. Practical experience building applications on LLMs (OpenAI, Anthropic, open-source), including prompt engineering and RAG architectures. Experience training, deploying or productionising ML models, and measuring whether they actually work. Ability to translate a vague business problem into a technical solution and measure its commercial impact. Strong communication: you can present to non technical stakeholders and C suite, and translate technical work into business value. Bias for shipping working solutions over perfect architectures. Desirable Experience with commercial or CRM data (Salesforce especially), or a willingness to own it. Familiarity with fine tuning, evaluation frameworks or causal inference for measuring intervention impact. Experience with BI tools (Tableau, Looker, Power BI, QuickSight) and building dashboards. Background in RevOps, commercial analytics or SaaS growth analytics. Experience in LegalTech, professional services software or complex B2B sales environments. Track record of building internal tools used by non technical teams. Bonus points (not essential) Exposure to B2B SaaS, regulated industries or LegalTech. Experience collaborating directly with Product and Customers. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.