Datasite

Financial Planning and Analysis

• Serve as the chief financial strategist to the CEO, CFO, Executive Leadership Team, and Board of Directors
• Shape and refine the long-range financial vision, capital allocation strategy, and investment priorities for the enterprise
• Lead the end-to-end global FP&A function, including multi-year planning, forecasting, portfolio analysis, and performance management across all regions and business lines.
• Oversee transformation of financial systems, data architecture, and reporting capabilities—including Adaptive Planning, Workday Financials, and analytics platforms
• Lead, mentor, and develop a world-class global FP&A organization that supports Datasite’s growth, complexity, and expanding product portfolio
• Deliver clear, compelling analyses and strategic recommendations to the Executive Leadership Team and Board of Directors.

SVP, Financial Planning & Analysis

Product Manager

• Define the PLG strategy and vision for product growth
• Own the full PLG funnel with accountability for performance metrics
• Design a high-velocity experimentation program
• Develop growth systems that improve user journeys
• Partner cross-functionally with engineering, design, marketing, and sales teams

Senior Product Manager – Growth, PLG

Project Manager

• Serve as project manager on multiple simultaneous region-specific and multi-region marketing campaigns
• Partner with internal and external resources to ensure the campaign meets visibility, quality, budget, results, and delivery expectations
• Enhance/improve Marketing processes and our project management platform’s backend (Wrike)
• Understand the business and company’s key objectives to contribute to project success
• Manage resource allocation for assigned projects
• Develop dashboards and similar tools for the team
• Align regional and global marketing development and activation calendars
• Occasionally work with outside agencies to address marketing project needs

Marketing Project Manager

Data Engineer

• Establish and maintain the enterprise data architecture vision, including conceptual, logical and physical models, data flows, storage patterns, and integration frameworks
• Create and maintain a comprehensive inventory of current state data capabilities across all business units
• Define the target state architecture and align stakeholders on the required data product capabilities and technical foundations
• Define and integrate already architectural patterns that support enterprise AI, Generative AI, and Agentic AI use cases, ensuring scalable and governed deployment across the ecosystem
• Partner closely with leaders across Data Management, Data Governance, Data Product, Data Engineering, Analytics, and Product teams to translate business needs into data driven solutions
• Collaborate with AI/ML teams to shape enterprise AI strategies, ensuring data architecture enables model development, model operations (MLOps), vector storage, retrieval augmented generation (RAG), and agent-oriented workflows
• Identify opportunities to simplify, consolidate, or modernize legacy technologies, data stores, and applications
• Oversee the design of scalable architectures that support enterprise-wide data products and shared capabilities across multiple business units and group-level functions
• Lead the development and enforcement of data architecture standards, quality frameworks, and governance policies
• Incorporate AI governance standards, including model transparency, lineage, auditability, responsible AI practices, and controls for Generative AI and Agentic AI solutions
• Stay current with emerging technologies, architecture patterns, and industry best practices.

Vice President, Strategic Data Architecture

Data Scientist

• Design and build products that translate anonymized behavioral signals into leading indicators for financial performance
• Research and create proprietary indices that can be leveraged by financial services clients
• Perform rigorous backtesting on new and existing products against historical financial outcomes
• Implement anonymization and aggregation techniques to ensure products are compliant and non-identifiable
• Collaborate with external researchers/clients to refine product requirements and validate desired outcomes

Senior Data Scientist

Account Executive

• Develop markets and understand client needs
• Identify sales opportunities and collaborate to maximize revenue
• Anticipate client needs and deliver solutions
• Compile quotes, close sales, create SOWs, manage invoices
• Maintain accurate records of all call activity and report call information

Sales Executive

Full-stack Engineer

• lead projects and drive technical decisions
• manage complex systems while balancing business context, customer impact, and long-term goals
• shape the team’s direction and ensure high-quality execution across multiple phases of development
• create roadmaps in partnership with product, team, and leadership
• define architectural improvements to reduce operational overhead
• identify and champion cross-team improvements
• foster collaboration within the team through feedback
• provide technical guidance to cross-functional stakeholders
• evaluate trade-offs between business needs and technical constraints
• own ambiguous challenges and proactively resolve issues
• provide mentorship through coaching and feedback
• ensure delivery of high-quality, reliable features and services
• track project progress and adapt plans

Lead Software Engineer

Backend Engineer

• build on your foundational skills by independently delivering moderately complex features and shaping how we work as a team.
• take ownership of your work, collaborate closely with teammates and stakeholders, and begin to influence design and architecture decisions within your domain.
• actively mentor peers and contribute to our shared product and team objectives.
• Contributions to technical designs reflecting informed decisions that align with team architecture and best practices.
• Code is written to be high-quality, maintainable, and mindful of performance, scalability, and resilience.
• engage product, design, and QA partners early to clarify requirements, propose solutions, and ensure smooth delivery.
• Debugging strategies, telemetry, and data are applied to diagnose and resolve both production and development issues.
• Code review feedback is constructive, actionable, and aimed at helping others grow.
• Features and services are owned end-to-end, from planning through production support.

Software Engineer – Back End

• Design and deliver complex features and systems within a domain
• Mentor others through code reviews and project leadership
• Promote engineering excellence and collaborate with stakeholders
• Balance trade-offs between business priorities and technical constraints
• Offer mentorship through coaching and feedback
• Own end-to-end system design and execution for high-impact features

Senior Software Engineer – Back End

DevOps Engineer

• Work closely with the DevOps team with the mission to operate applications that not only provide users with stability and 24/7 availability, but also make our customer's life easier through agility and control.
• You will handle generic processes such as packaging, deployments and rollbacks as well as configuration and key management so that the team can ship even more efficiently (new) features.
• Due to the fast growth of the company you will evaluate the pertinence and suitability of current and past solutions since our challenges evolve rapidly.

QA Engineer

• Ensuring product quality in order to achieve better customer satisfaction
• Establishing and maintaining a quality system for all requirements
• Analysing and evaluating data and key performances and drive continuous development of the quality
• Conduct testing of applications, identifying deficiencies and creating and managing the overall quality planning strategy
• Create and maintain automated tests to reduce the time of repetitive tasks
• Creating reports for management and making sure that a quality awareness mindset is established in the team

Technical Recruiter

• Lead full-cycle recruitment for technical and engineering roles across multiple locations.
• Will also recruit for non-technical roles as needed.
• Partner closely with hiring managers, and cross-functional teams to understand technical requirements, team dynamics, and ideal candidate profiles.
• Develop and execute sourcing strategies targeting both active and passive technical talent through platforms such as LinkedIn, GitHub, professional networks, and industry events.
• Evaluate technical skill sets effectively, ensuring candidates meet both functional and organizational requirements.
• Provide consultative insights and market intelligence, helping leaders make informed hiring decisions and plan for future technical workforce needs.
• Deliver an exceptional candidate and hiring manager experience throughout the recruitment process, with clear communication and timely follow-up.
• Manage a diverse, high-volume requisition load.
• Utilize employer branding, social media, and creative sourcing techniques to strengthen our visibility and attract top technical talent.
• Maintain accurate, timely documentation and workflow management within the Applicant Tracking System (Workday).
• Partner with HR Business Partners on technical hiring trends, workforce planning, and organizational needs.

Senior Corporate Technical Recruiter

Accountant

• Prepare and review U.S. foreign information returns, including: Form 5471, Form 5472, Form 8858, and related filings.
• Ensure compliance with U.S. international tax reporting requirements under IRC Sections 6038, 6046, and related regulations.
• Participate in quarterly and annual ASC 740 tax provision calculations, including data gathering and analysis for international entities.
• Support tax compliance for federal and state income tax returns.
• Assist with calculations related to Subpart F income, GILTI, and foreign tax credits.
• Collaborate with cross-functional teams (Finance, Legal, Treasury) to ensure proper documentation and reporting.
• Support transfer pricing documentation and related compliance requirements.
• Participate in special projects, including process improvements, acquisition integrations, and global tax initiatives.
• Monitor changes in U.S. international tax laws and assess their impact on reporting obligations.
• Respond to IRS inquiries and support audits related to foreign information returns.

Senior Tax Accountant

Content Marketing Manager

• Support the development and implementation of a comprehensive content strategy aligned to Americas regional marketing plans and broader global initiatives.
• Translate market insights into a cohesive editorial vision that supports the objectives and outcomes for awareness, demand generation, and audience engagement programs and initiatives within the Americas.
• In partnership with the Americas marketing team, maintain content calendar and deliverables aligned with program timing and execution.
• Produce and refine high-quality content — blogs, web copy, videos, email campaigns, social media, thought leadership pieces, product collateral, sales tools, and speeches/talking points — with accuracy and a strong understanding of the M&A, financial services, and FinTech landscapes.
• Tailor content for diverse audiences, including investment professionals, corporate deal teams, advisors, and internal stakeholders.
• Apply SEO best practices to enhance organic visibility and content discoverability.
• Monitor performance using analytics tools and contribute insights to optimize content, messaging, and go-to-market approaches.
• Partner closely with Regional Marketing Leads, Product Marketing, Demand Gen and Sales to align content to product positioning and campaign goals.

SEO Marketing

• Develop and execute an integrated organic strategy encompassing traditional SEO and international GEO, and AEO strategies to improve visibility in AI assistants and LLMs.
• Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions.
• Create and optimize content (web copy, articles, resources, FAQs) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source content.
• Partner with the Web Development Manager to deploy structured data markup (FAQ schema, HowTo schema, knowledge graph metadata), ensure site crawlers and LLM scrapers can access content effectively, and implement long-term AI readiness improvements (embedding strategy, no-login/public access guidelines where appropriate).
• Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models.
• Lead GEO strategy across priority markets, ensuring localization practices (hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy.
• Track organic search performance (rankings, CTR, traffic), LLM visibility metrics (e.g., referenced queries, position in AI response testing), and conversion KPIs. Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms.
• Work with content marketers, digital, product marketing, and thought leadership teams to align organic strategies with go-to-market priorities and significant content moments (e.g., Deal Drivers, product releases, expert content).
• Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation.
• Educate the marketing team on AEO best practices and evolving AI trends in digital discovery.