Jobs at CluePoints

The Director of FP&A will own budgeting, rolling forecasts, integrated financial modeling, cash flow and headcount planning, SaaS KPI reporting, variance analysis, board reporting, and PE sponsor reporting. The role will improve planning infrastructure across NetSuite, Salesforce, Pigment, and Bob, apply AI to finance workflows, and lead and develop the FP&A team across a multi-entity, multi-currency SaaS business.

Own the monthly close and group consolidation across Belgium, the UK, Poland, and the US. Prepare IFRS and local GAAP accounts, manage intercompany eliminations and FX translation, support statutory and group audits, address international tax matters, improve reporting processes, and mentor accounting team members. The role partners with FP&A and stakeholders to deliver accurate, decision-ready financial reporting.

Own the monthly close and group consolidation across Belgium, the UK, Poland, and the US. Prepare consolidated accounts under IFRS and local GAAP, manage intercompany eliminations and FX translation, support statutory and group audits, improve reporting processes using Excel, NetSuite, consolidation tools, and AI-enabled workflows, and mentor accounting team members.

Leads and builds the mid-market business development function, owning territory strategy and the full sales cycle for pharma and biotech accounts. Develops and coaches a high-performing BD team, drives pipeline and new-logo acquisition, closes multi-year SaaS deals, and partners with marketing, strategy, product, and commercial operations. Represents the company at industry events and contributes to commercial frameworks, forecasting, segmentation, and coverage models.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Develop production software using AI-assisted and Spec-Driven Development practices. Implement features from approved specifications, evaluate AI-generated code, handle integrations and edge cases, maintain automated testing, and contribute to architecture. Ensure systems are secure, auditable, performant, observable, and compliant with GxP expectations. Work across backend and frontend technologies within small, collaborative squads.

Own the architecture, reliability, governance, and evolution of the Databricks lakehouse. Design batch and streaming pipelines, develop SQL/Python/PySpark transformations, productionize analytical and AI prototypes, and implement testing, orchestration, monitoring, data-quality controls, governance, and access management. Collaborate with analysts, Engineering, and Product to deliver scalable, cost-effective data solutions for clinical trial insights.

Develops and maintains sales playbooks, battlecards, objection-handling guides, and competitive content. Leads onboarding and ramp programs for new sales hires, provides ongoing coaching, identifies training gaps, and coordinates content development with instructional designers. Manages sales enablement content structure and adoption in Docebo, using usage data to improve effectiveness. Partners cross-functionally with Sales, Marketing, and Product in a B2B SaaS environment.

Leads commercial growth execution as the CCO’s operating partner, translating strategy into measurable GTM programs across Sales, Marketing, Customer Success, Partnerships, and Operations. Owns growth orchestration, execution frameworks, KPI dashboards, performance reporting, enablement, accountability systems, and recurring commercial operating rhythms. Aligns cross-functional leadership, removes execution barriers, improves forecast confidence, and drives scalable growth initiatives across a life sciences SaaS organization.

Build and evolve CluePoints’ enterprise data platform using Microsoft Fabric and Azure. Responsibilities include migrating Azure SQL and ADF workloads, integrating SaaS and web data, developing scalable ingestion and transformation pipelines, maintaining Kimball dimensional models, and establishing CI/CD, data quality, lineage, security, and monitoring. The role partners with analytics leadership and supports trusted Power BI reporting across multiple business functions.

Owns squad-level product definition, specifications, backlog prioritization, clarifications, validation intent, and delivery alignment for an AI-enabled, regulated B2B SaaS product. The role translates Product Management requirements into clear product behavior, workflows, constraints, and acceptance expectations while collaborating with Engineering, QA, UX, Support, customers, and stakeholders. It requires hands-on AI use for product work, understanding of Agentic AI fundamentals, strong product judgment, and the ability to operate autonomously in complex domains.

Leads commercial growth execution as the CCO’s operating partner, orchestrating go-to-market programs across Sales, Marketing, Customer Success, Partnerships, and Operations. Establishes execution frameworks, operating rhythms, accountability systems, KPI dashboards, and performance reporting. Aligns cross-functional leadership, scales sales motions, identifies capability gaps, removes execution barriers, and drives measurable revenue, customer, and market growth initiatives.

Organize and maintain sales playbooks, battlecards, objection-handling guides, and competitive content. Design onboarding and ramp programs, deliver ongoing sales coaching, identify training gaps, and coordinate content development with instructional designers. Manage enablement content and adoption within Docebo, using usage data to improve effectiveness. Partner cross-functionally with Sales, Marketing, and Product in a B2B SaaS environment.

Develop high-performance C++ software and Python tooling for clinical trial analytics. Translate statistical algorithms and research prototypes into scalable production software, optimize performance and memory usage, build automated tests, and support validation and deployment of computational models. Collaborate with researchers, statisticians, product managers, and engineers on data-intensive systems, architecture, automation, machine learning, and research innovation.

Explore, prototype, and productionize AI solutions for clinical data review, focusing on LLMs, agentic AI, RAG, and intelligent workflows. Build modular agent systems, APIs, and interfaces; integrate clinical data sources; evaluate and monitor AI performance; and ensure scalable, reproducible, traceable, auditable solutions aligned with regulatory expectations. Collaborate with clinical experts, product managers, and engineering teams while contributing to AI innovation strategy.