Cluepoints

Role Description As an AI-First Engineer, you will operate at the intersection of strong software engineering fundamentals and modern AI-assisted development. You will use state-of-the-art AI coding tools (e.g., Claude Code, GitHub Copilot, Codex-style agents) to generate and iterate on production-grade code — while applying human judgment, architectural thinking, and rigorous review to ensure quality, security, and compliance. As part of our AI-First transformation, we are adopting Spec-Driven Development (SDD) across our engineering teams. Instead of moving straight from user stories into code, engineers write structured specifications that serve as the single source of truth for both human and AI-driven implementation. The spec is reviewed and approved before any code is written, and AI coding agents work within the constraints it defines. Some of our squads are already working this way, and these roles will help scale the approach across the organisation. Experience with SDD frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers is required. This is not a traditional “ticket-driven” engineering role. Instead, you will: - Work in small, high-impact squads (4–5 people) - Operate within a Spec-Driven Development (SDD) framework - Treat AI as a powerful collaborator — not a replacement for engineering responsibility - Focus on integration, edge cases, system-level thinking, and production robustness Your output will be amplified by AI — but your judgment will define its quality. Qualifications - 5+ years of professional software engineering experience shipping production systems - Proficiency in Python (essential) and/or TypeScript (experience with both is ideal) - Hands-on, daily use of AI coding assistants in real delivery workflows - Demonstrated ability to critically evaluate AI-generated code: identifying hallucinations, security risks, architectural drift, and edge cases - Solid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL store - Strong testing discipline: unit, integration, and end-to-end testing as part of your normal workflow - Experience with Spec-Driven Development frameworks such as OpenSpec, SpecKit, BMAD, or Superpowers - Comfort working in a regulated or compliance-sensitive environment, or willingness to learn GxP expectations quickly Requirements - Experience with Angular or a modern frontend framework - Experience building structured AI-assisted workflows (prompt pipelines, agent orchestration, automated review systems) - Microsoft Azure cloud experience - Background in life sciences, healthcare, or other regulated industries Benefits - Contributions to open-source AI tooling or developer productivity projects - Experience with CI/CD pipeline design and DevOps practices - Familiarity with clinical trial data, CDISC standards, or RBQM concepts Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 40 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

Role Description We’re looking for a AI Product Manager to join our Product team and contribute to our mission of transforming clinical research through data-driven insights. - The Product Manager – AI Delivery & Discovery owns day-to-day product execution for a product area or squad within an industry domain. - The role blends problem discovery, backlog ownership, and delivery accountability, operating under the guidance of a Group Product Manager who owns domain strategy and long-term vision. - The role operates under CluePoints’ AI lifecycle development framework, where systematic use of AI tools is fundamental to speed-to-market, quality, and learning. - The Product Manager contributes to the design and delivery of AI-powered and agentic capabilities, ensuring trust, observability, and regulatory alignment. Qualifications - 3–6 years in Product Management, Product Ownership, or similar roles. - 3-5 years' experience within Clinical Trials software (RBQM knowledge will be a plus). - Strong backlog ownership in Agile/Scrum environments. - Ability to translate problems into clear, buildable requirements. - AI & Data Mindset. - Experience with AI-enabled or data-driven products. - Understanding of AI lifecycle concepts. - Ability to define trust, explainability, and observability needs. - Hands-on use of AI tools to improve speed and quality. Requirements - Outcome-focused and delivery-oriented. - Strong communicator with customers and technical teams. - Comfortable owning execution under Group PM guidance. - Curious, pragmatic, and improvement-driven. Nice to Have - Experience in technology scale-ups. - Familiarity with GCP, RBQM, or data analytics tools. - Additional language skills.

Role Description We’re looking for a Professional Services Sales Lead to join our Commercial Team and contribute to our mission of transforming clinical research through data-driven insights. - Accountable for driving Professional Services revenue through the sale of consulting and services offerings in a SaaS environment. - Independently originate, shape, and close services opportunities. - Attach services strategically to product deals and maintain services through the lifecycle of the customer relationship. - Focus on expanding services revenue, improving deal quality, and ensuring strong alignment between sales and delivery. Qualifications - Experience in Professional Services sales within a SaaS environment. - Strong understanding of consulting engagements and service offerings. - Ability to translate client needs into high-value services engagements. Requirements - Own and deliver Professional Services bookings and deal quality. - Build, qualify, and manage a robust services pipeline across new and existing customers. - Lead the sale of consulting engagements, including standalone services and product-attached services. - Partner with Business Development and Account Management to position services early and influence overall deal strategy. - Lead SOW development, pricing strategy, and negotiations. - Ensure alignment with Delivery on scope, feasibility, resourcing, and margin expectations. - Accountable for ensuring deal shaping respects target margins and project profitability in line with services gross margin expectations at the time of contract signature. - Drive expansion opportunities within existing accounts through additional services offerings. - Maintain accurate forecasting and pipeline visibility for services bookings. - Perform retrospective deal reviews to ensure services delivery activities remain aligned to deal scoping and shaping. Benefits - Dynamic and diverse international team. - Culture of collaboration, flexibility, and continuous learning. - Opportunities for growth and impact. Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

Role Description Reporting to the Quality Director, you will own testing strategy and quality outcomes across 3–5 cross-functional squads within a product domain. You will directly manage and mentor a team of approximately 5–7 testers (manual and automation) while remaining hands-on in quality and automation practices. This role combines leadership and execution. You will partner closely with Product, Engineering, and Release Management to embed risk-based quality practices, ensure test readiness, and support reliable delivery. We operate with an AI-first engineering mindset. As Test Manager, you are expected to actively use and champion AI-powered tools (e.g., GitHub Copilot, Codex, AI-assisted test generation and intelligent regression optimisation) to increase efficiency, improve coverage, and drive smarter quality decisions across your squads. Qualifications - Proven quality leadership experience within cross-functional Agile teams (Engineering, Product Owners, Release Management). - Demonstrated people management and mentoring experience, leading 5–7 team members. - Experience overseeing quality delivery across multiple squads (3–5). - Minimum 3 years hands-on test automation experience. - Proven track record in regression, end-to-end, and integration testing. - Full-stack test engineering experience from testing backend (APIs, services, data layers) to frontend (UI). - Practical experience using AI-powered engineering tools such as GitHub Copilot, Codex, or similar AI-assisted development/testing platforms. - Strong understanding of risk-based testing principles and intelligent regression strategies. - Excellent communication, planning, prioritisation, and stakeholder management skills. - Data-driven mindset with the ability to define, track, and improve quality metrics. Requirements - Proven quality leadership experience within cross-functional Agile teams (Engineering, Product Owners, Release Management). - Demonstrated people management and mentoring experience, leading 5–7 team members. - Experience overseeing quality delivery across multiple squads (3–5). - Minimum 3 years hands-on test automation experience. - Proven track record in regression, end-to-end, and integration testing. - Full-stack test engineering experience from testing backend (APIs, services, data layers) to frontend (UI). - Practical experience using AI-powered engineering tools such as GitHub Copilot, Codex, or similar AI-assisted development/testing platforms. - Strong understanding of risk-based testing principles and intelligent regression strategies. - Excellent communication, planning, prioritisation, and stakeholder management skills. - Data-driven mindset with the ability to define, track, and improve quality metrics. Benefits - Dynamic and diverse international team representing more than 20 nationalities. - Culture of collaboration, flexibility, and continuous learning. - Opportunities for growth and impact. - Guided by values of Care, Passion, and Smart Disruption.

Role Description The Site Reliability Engineer, Observability & RUM is responsible for improving end-to-end observability across our platforms and customer-facing applications, with a particular focus on frontend and Real User Monitoring (RUM). This role combines core SRE practices with ownership of monitoring, logging, tracing, alerting, and user-experience telemetry in production. - Help evolve observability capabilities across Azure and Kubernetes environments. - Improve incident detection and diagnosis. - Support decisions around managed versus self-managed observability tooling. - Partner closely with Engineering, Support, QA, and Security teams to ensure systems ship with actionable telemetry, dashboards, alerts, and operational runbooks. Qualifications - 5+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Observability Engineering roles. - Strong hands-on experience with observability and monitoring platforms, including several of the following: Elastic, Grafana, Prometheus, OpenTelemetry, Sentry, monitoring agents, and managed APM/observability platforms. - Experience implementing and supporting Real User Monitoring (RUM) and frontend/application observability in production environments. - Ability to work across frontend, backend, and platform teams to improve telemetry, alerting, and incident diagnosis. - Experience evaluating or operating managed observability platforms and understanding the trade-offs versus self-managed stacks. Requirements - (Nice to have) Experience supporting ML, AI, or LLM-backed services in production (RAG, LangSmith, Arize Phoenix, LangChain, LangGraph, Azure OpenAI, OpenAI, or Anthropic APIs). Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. - Ambitious, fast-growing technology scale-up. - Diverse international team representing more than 20 nationalities. - Culture of collaboration, flexibility, and continuous learning. - Values of Care, Passion, and Smart Disruption. - Mission to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.

The Senior Strategic Consultant will drive the successful adoption of CluePoints’ AI-powered platform, focusing on risk-based quality management (RBQM) in clinical trials. This role involves: Direct customer engagement to assess challenges Developing strategic recommendations Leading change management efforts to ensure seamless adoption Collaborating with Professional Services, Customer Success, and other teams at CluePoints Optimizing rollout and refining adoption strategies using data-driven insights Mitigating adoption risks With 12+ years in clinical development, deep RBQM expertise, and strong stakeholder management skills, the ideal candidate will enhance trial efficiencies and identify opportunities for business growth.