Datasite

User Researcher

• Lead strategic, explorative research to uncover key pain points and unmet needs of Board Members and C-Level users
• Lead user and prospect recruiting and profiling to ensure the right participants are involved in each research activity
• Act as a central research partner for all product squads and relevant chapters
• Own and continuously improve Research Ops , including insight repositories, participant pools, and repeatable workflows
• Synthesize and communicate insights into clear, actionable narratives that drive alignment across teams
• Occasionally support opportunity validation , early concept testing, and usability research when needed
• Combine qualitative research and product analytics to understand problems and inform decisions

Financial Planning and Analysis

• Act as the primary point of contact for VP+ stakeholders on "Special Projects."
• Lead high-impact deep dives into complex topics like revenue leakage, product profitability, and margin optimization.
• Structure the problem, identify the levers, and define the success criteria.
• Lead the design and measurement of pilots and business experiments.
• Run deep-dive discovery, identifying root causes across sales, product, usage, and financial data.
• Define, standardize, and govern the core metrics for the Finance organization.
• Act as the "Business Architect" in partnership with Technology teams.
• Ensure that the transition from raw data (Salesforce/ERP) to the reporting layer is logically sound, well-documented, and reconciled to the penny.
• Serve as a consultant to VP+ leadership.
• Facilitate strategic reviews, translate technical data constraints into business terms, and manage the "Data Roadmap" for the CFO.
• Synthesize complex analytical findings into crisp, high-impact decks that lead with the "So What" and end with a clear call to action.
• Ensure senior leadership has access to "Practical Dashboards"- views that prioritize clarity and strategic snapshots over technical density.

Senior Manager, Strategic Analytics – Finance

DevOps Engineer

• You will drive the implementation of our security architecture roadmap, strengthen product resilience and ensure sustainable, compliant and rapid incident response capacity.
• This role enables our shift to proactive readiness, supports business continuity execution, and ensures we meet growing regulatory and customer security demands.
• You will work closely with the DevOps team to ensure our product is not only stable and available 24/7, but also secure, resilient and trustworthy for every customer.
• You will be responsible for ensuring security readiness into the workflows, ensuring that every application change, system component and operational process meets our security, compliance and incident‑response standards.
• You will also focus in strengthening the platform’s reliability by building secure automation, improving our ability to detect and respond to incidents as well as ensuring we can recover quickly in critical situations.
• You will enable agility without compromising safety, helping us deliver a product that is both easy for customers to rely on and protected against modern threats.

Senior DevSecOps Engineer

Technical Project Manager

• Oversee the planning, execution, and delivery of technical projects, ensuring alignment with business objectives, timelines, and quality standards.
• Coordinate cross-functional dependencies and manage project scope, schedule, and risks.
• Foster a collaborative environment that balances project work with urgent support needs.
• Balance resources between ongoing technical projects and incoming support escalations.
• Provide regular updates to stakeholders including Product, Engineering leadership, Customer Success, and Support teams.
• Own processes for handling support escalations, including triage, assignment, tracking, and post-resolution analysis.
• Identify potential risks in technical projects and support escalation workflows.
• Use data to drive decision-making and process improvements.
• Provide technical guidance on complex support escalations and project challenges.
• Coordinate response to critical production incidents, working with the team to implement quick fixes while planning longer-term solutions through the project management process.

Technical Project Manager – Europe

Data Scientist

• build and own end-to-end data-driven workflows for product and business growth
• produce concise, high-impact analyses of product usage patterns on demand
• apply advanced statistical and ML models to retention curves, user lifecycle metrics, and product usage data
• identify meaningful user segments and uncover hidden behavioral patterns that impact engagement and churn
• partner with product, engineering and business teams to define questions and guide decisions
• advise on experimentation design (sample sizes, statistical significance) to validate retention hypotheses and feature impact
• translate insights into actionable recommendations that drive measurable impact
• create impactful reports, dashboards and visualizations that highlight what matters most

Senior Data Scientist – Europe

AI Engineer

• Define and own Sherpany’s AI technical vision and drive strategy across the product
• Shape scalable AI platform architecture and ensure robust, secure solutions
• Lead design and optimization of on-prem AI systems, maintaining data privacy and compliance
• Guide engineering teams with clear technical direction and best practices
• Stay ahead of emerging AI technologies and apply them to solve real business problems
• Collaborate cross-functionally with product, engineering and go-to-market teams to deliver impactful AI solutions

Principal AI Engineer

Performance Marketing

• Build the foundation for a scalable, high-impact content marketing studio—including editorial strategy, governance, resourcing, and workflows
• Develop an integrated content roadmap (reports, blogs, video, podcasts, guides, case studies) that supports demand gen goals and brand storytelling across regions
• Partner with product marketing to translate product value propositions and differentiators into compelling customer-facing narratives and assets
• Ensure consistency in messaging across demand gen campaigns, sales collateral, and customer touchpoints while tailoring content for local markets
• Establish KPIs for content effectiveness (engagement, conversion, influence on pipeline) and use insights to refine editorial priorities
• Elevate Datasite’s market authority by creating content that positions the company as a trusted voice in M&A, financial services, and SaaS innovation
• Develop and execute comprehensive demand generation strategies aligned with overall business objectives
• Lead the planning, execution, and optimization of multi-channel campaigns, including email marketing, content marketing, social media, paid advertising, webinars, and events
• Drive high-quality lead generation through targeted campaigns and effective lead nurturing programs
• Collaborate with the sales and inside sales teams to provide them with the tools, content, and insights they need to close deals
• Utilize data and analytics to measure campaign performance, identify trends, and optimize strategies for maximum impact
• Manage and allocate marketing budgets effectively to maximize ROI.

Senior Director, Demand Generation

• As a Principal Data Scientist, you will be the technical lead and primary "engine" of our data science initiatives.
• Reporting to the Director of Data Science, you are a high-level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling.
• You will lead the end-to-end development of "Data Intelligence Products" - from high-dimensional forecasting and financial risk engines to ML-driven revenue optimization.
• While this is an IC role, you will set technical standard for the department, acting as a mentor to junior analysts and an architect for our predictive ecosystem.

Principal Data Scientist, Finance

Digital Marketing

• Lead the design, development, enhancement, and support of web-based and mobile web-based applications using technologies such as .NET, JS libraries, and SQL Server databases.
• Develop applications, templates, and components for Content Management Systems such as Sitecore, Adobe AEM, or Sitefinity.
• Define and encourage best practices for the full software development life cycle, including adhering to coding standards, setting up and maintaining builds for continuous integration, designing and coding enterprise framework components, and performing code reviews.
• Investigate and solve challenging time sensitive production support issues.
• Work in an agile, rapid development, and prototyping environment.
• Develop and optimize front-end UI to ensure the application is rendered consistently for all browsers and devices.
• Must be able to build responsive and elegant web applications that are scalable.

Senior Web Developer, Digital Marketing

• Lead the evolution of our financial data ecosystem.
• Manage infrastructure and own Data Assets.
• Lead a multidisciplinary team of Engineers, Data Analyst and Power BI Experts.
• Transform raw data into high-value Data Products.
• Oversee the development and maintenance of automated pipelines using dbt.
• Shift from static reporting to Data Product development using Power BI.
• Partner with cross-functional leaders to define and standardize core business metrics.
• Empower non-technical stakeholders by building "Certified Semantic Models".
• Lead and grow a team of Data Engineers, Architects, and BI Experts.

Director, Data Operations – Engineering, Finance

• High-Impact Modeling: Directly oversee and contribute to the development of predictive models for revenue forecasting, profitability, and demand planning.
• Risk Prediction Tools: Architect and deploy tools for predictive financial risk assessment.
• ML/AI Roadmap: Define the vision for AI/ML integration.
• Experimentation Rigor: Establish framework for A/B testing.
• Abstract Problem Solving: Serve as primary partner to the C-suite.
• Stakeholder Management: Work cross-functionally to integrate predictive insights.
• Data Productization: Ensure models are 'production-ready'.
• Team Scaling: Act as a 'Player-Coach' to the current Data Science team.
• Talent Pipeline: Build a network for future roles.
• Standard Setting: Establish the 'Data Science Playbook'.

Director, Data Science – Finance

Data Analyst

• Build and maintain clean, well-documented SQL models using CTEs, window functions, and views to power finance-ready reporting
• Map complex Salesforce object relationships into reliable, flattened reporting tables
• Proactively investigate data anomalies and reconcile figures against source systems
• Design star-schema models and complex DAX measures within Power BI/Fabric
• Drive the full lifecycle from stakeholder requirements to delivered dashboards
• Own the Fabric workspace ecosystem, including capacity management and deployment pipelines
• Partner with Finance and Ops leaders to define metrics and manage change control process

Principal Data Analyst, Finance

Full-stack Engineer

• Design, build, and run A/B tests to optimize product-led growth loops, user activation funnels, and retention strategies.
• Develop and maintain user-facing components and experiences, including the free-trial sign-up and onboarding process.
• Collaborate with DevOps and Engineering to scope and implement necessary infrastructure to support growth initiatives, such as trial environments or data pipelines.
• Instrument, measure, and analyze experiments and user behavior to provide data-driven feedback to the Growth team.
• Build and maintain integrations with marketing, analytics, and CRM tools.
• Work across the full stack, with a strong emphasis on front-end, to rapidly prototype, ship, and iterate on growth-focused features.
• Partner with Product and Design to ideate and prioritize growth experiments.