Datasite

• This role flexes across all four pillars of the Transformation Office • FDE Program support: Support the Forward Deployed Engineering program as needed • Operational leverage & first-pass execution: Take ambiguous, high-priority asks from Transformation Office leadership and turn them into strong first drafts and finished deliverables • Data analysis: Lead end-to-end analysis across financial, operational and AI usage domains, with a focus on ROI, cost optimization and consumption economics • AI Enablement & ad hoc analysis: Jump into AI Enablement support and miscellaneous AI requests • Portfolio & intake support: Help maintain the transformation portfolio and intake funnel • Process automation & efficiency: Identify and build out automations for recurring Transformation Office and cross-functional workflows • Cross-pillar gap-filling: Plug into any pillar wherever capacity is needed.

• Identify potential corporate customers and convince them of our meeting management solution • Make initial contact via phone or email to arouse interest • Coordinate follow-up meetings between sales executive and outbound lead • Maintain data in CRM tool and ensure compliance with sales processes • Participate in sales and marketing activities such as trade fairs

• Perform Bank Statement reconciliations in Workday and coordinate with appropriate team members to resolve un-reconciled transactions • Research and post applicable ad-hoc journal entries for unique or complex bank transactions (intercompany transfers, purchase accounting payments, expense allocations, etc.). • Research balances in Datasite’s various Cash Clearing accounts and post manual journal entries as needed • Preparation of cash-related account reconciliations and supporting schedules as part of the Datasite monthly close process • Prepare monthly account analysis including explanations of significant account variances • Support external audits through preparation of schedules and documentation

• Lead projects and drive technical decisions for scalable platform systems with an AI-first mindset • Balance business context, customer impact, and long-term platform health • Enable intelligent, API-driven experiences and partner integrations • Help ensure new partnerships are delivered with operational rigor and creative problem solving • Drive architectural improvements that scale AI workloads and improve reliability across APIs and platform services • Evaluate trade-offs across speed, cost, accuracy, and scalability in AI-enabled and partner-driven solutions • Mentor engineers through coaching and feedback, promote continuous learning and experimentation.

Role Description As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems — ingestion, transformation, validation, and reconciliation — bringing the monitoring and SLA discipline that sophisticated partners expect. You balance partner trust, engineering velocity, and long-term data platform health while enabling intelligent, contract-driven data exchange across our partner ecosystem. You bring hands-on experience with modern data tooling (Snowflake, dbt, Airflow, schema registries) paired with practical, AI-augmented workflows that compress manual investigation into minutes. You will help ensure new partnerships are delivered on a foundation of trustworthy data, with the rigor and creative problem solving that lets the broader engineering team stop firefighting and start building. Qualifications - Strong experience designing and operating data pipelines with defined latency, freshness, and accuracy SLAs - Expert SQL skills and proven ability to work with large, complex datasets across diverse partner schemas - Hands-on experience with modern data tooling such as Snowflake, dbt, Airflow, and schema registries - Practical, in-the-workflow use of agentic tooling to accelerate schema mapping, anomaly detection, data profiling, and pipeline debugging - Track record of building monitoring, alerting, runbooks, and reconciliation processes for systems with external commitments - Ability to ramp quickly on new partner ecosystems, data formats, and domains - Proven success leading work in ambiguous, fast-moving environments - Excellent collaboration, communication, and cross-team influence Requirements - Guide data architecture decisions that incorporate AI-augmented capabilities into ingestion, transformation, and reconciliation workflows for partner integrations. - Partner with Product, Engineering, and partner teams to develop flexible data roadmaps aligned to Datasite strategy while adapting to fast-evolving partner data needs. - Drive pipeline improvements that scale across diverse partner data formats, reduce operational overhead, and improve reliability of SLA-bound data products. - Maintain adaptable data contracts and schema strategies, enabling rapid onboarding of new partners in uncertain, high-velocity environments. - Identify and drive cross-platform improvements (schema registries, validation tooling, data contracts, lineage tracking) that enhance partner and developer experiences. - Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready data solutions. - Communicate complex data concepts clearly, translating pipeline design trade-offs and SLA commitments for diverse stakeholders. - Provide technical guidance that ensures alignment, simplicity, and consistency across data flows and partner integrations. - Evaluate trade-offs across freshness, accuracy, latency, and cost, especially in partner-driven and AI-augmented data workflows. - Simplify pipelines and drive down data debt while supporting rapid experimentation and onboarding of new partners. - Own ambiguous data challenges — mismatched schemas, silent failures, partial loads, reconciliation gaps — and drive them to resolution. - Apply strong diagnostics to identify root causes of data discrepancies and deliver resilient, auditable solutions. - Mentor engineers and analytics contributors through coaching and feedback, including adoption of modern and AI-augmented data practices. - Support team growth by promoting continuous learning, experimentation, and adaptability in data engineering methods. - Foster a culture of psychological safety, collaboration, and shared ownership of data quality. - Help raise the bar in hiring, ensuring alignment with Datasite's technical and cultural expectations. - Own end-to-end design and delivery of ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products. - Build pipelines with strong observability, alerting, and self-healing characteristics — so issues are identified and, where possible, remediated before they become partner-visible. - Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution. - Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term data integrity. Benefits - Health insurance (medical, dental, vision) - Retirement savings plan - Paid time off - Other employee benefits Company Description Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

SEO/GEO Marketing Manager Locations: - USA - MN - Minneapolis - Hybrid - Remote USA Full time Overview Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital content efforts across global markets. This role goes beyond traditional organic growth strategies to include visibility across platforms ChatGPT, Claude, and Gemini, ensuring Datasite is not just ranked, but referenced, as a trusted leader in M&A workflow technology. You will be responsible for managing the transition from traditional search to AI driven answer engines. This means you will be optimizing both search engines (Google, Bing, etc.) and AI platforms and conversational platforms. You will be hands-on in enhancing our digital presence through technical SEO, AEO/GEO targeted tactics, LLM content structuring, and direct content creation. This role requires someone who combines analytical rigor, strategic foresight, and strong content skills to help Datasite own the organic demand space. Responsibilities - Integrated organic & AI search strategy: Develop and execute a global strategy spanning traditional SEO and Answer Engine Optimization (AEO), with the explicit goal of making Datasite both rank in search engines and citable in AI assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions.   - Link Building: Lead an Authority & Entity Building program through digital PR, strategic partnerships, link building, and unlinked brand mentions to establish domain authority and solidify Datasite’s semantic association with M&A technology in LLM training sets. Manage backlink profile health, including disavowal of toxic links and competitive link gap analysis.   - Content creation & structuring for LLM recognition: Work with our content team to 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. Ensure content is technically structured to increase likelihood of AI citation.   - Technical SEO & AI readiness: Partner with the Web Development Manager to deploy structured data markup, 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).   - Keyword, entity & intent mapping: Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models.    - Geo-targeted optimization: Lead a localization strategy across priority markets, ensuring localization practices (translations, hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy.   - Performance analysis: Track and report on organic search performance, including demand, rankings, CTR, traffic, and LLM visibility metrics (e.g., referenced queries, query fan outs, position in AI response testing). Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms.   - Cross-functional collaboration: 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).   - Stay ahead of AI trends: 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. Qualifications   - 5+ years of digital marketing experience with deep expertise in SEO and organic growth strategy. - Proven track record of increasing brand prominence, organic traffic, and conversions for B2B companies (ideally SaaS or technology). - Strong understanding of entity-based search tactics, Knowledge Graph management, and semantic NLP optimization. - Experience designing or optimizing content specifically for AI/LLM discoverability or answer engines. - Analytical skills using GA4, Search Console, and SEO platforms (Ahrefs, SEMrush, etc.). - Comfort operating in a measurement environment that is still maturing, able to set meaningful KPIs and defend them when complete attribution isn't available. - Technical understanding of HTML, metadata, and on-page optimization enough to brief developers. - Highly collaborative, hands-on mindset, capable of juggling strategic planning and execution. Preferred   - Experience with AEO and visibility strategies in LLM platforms (ChatGPT, Gemini, Copilot, Perplexity). - Background in M&A, financial technology, or transaction lifecycle content. - Familiarity with LLM prompt engineering concepts or entity-based UX optimization. - Understanding of content distribution strategies to feed AI knowledge (e.g., public knowledge graphs, structured publishing, AI indexing enablement). - Knowledge of CRO and high-intent conversion strategies for organic landing pages. - Certifications in SEO, analytics, or AI-related marketing methodologies. Work Location & Flexibility  This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities. The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $99,000.00 - $172,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

• Support the development and execution of always-on content initiatives aligned to global marketing priorities and brand objectives. • Help maintain editorial standards, messaging frameworks, reusable content systems, and governance processes that support consistency across Datasite and portfolio brands. • Produce and refine high-quality content — blogs, website copy, FAQs, executive thought leadership, social content, campaign messaging, and brand materials. • Apply SEO and emerging AEO/GEO best practices to improve organic visibility and strengthen Datasite’s discoverability. • Partner closely with Product Marketing, Revenue Marketing, Corporate Communications, Creative Studio, Field Marketing, and Sales to align content with brand positioning and campaign objectives.

Title: SEO/GEO Marketing Manager Location: USA - MN - Minneapolis Remote USA Full time Job requisition id R35743 Job Description: Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital content efforts across global markets. This role goes beyond traditional organic growth strategies to include visibility across platforms ChatGPT, Claude, and Gemini, ensuring Datasite is not just ranked, but referenced, as a trusted leader in M&A workflow technology. You will be responsible for managing the transition from traditional search to AI driven answer engines. This means you will be optimizing both search engines (Google, Bing, etc.) and AI platforms and conversational platforms. You will be hands-on in enhancing our digital presence through technical SEO, AEO/GEO targeted tactics, LLM content structuring, and direct content creation. This role requires someone who combines analytical rigor, strategic foresight, and strong content skills to help Datasite own the organic demand space. Responsibilities - Integrated organic & AI search strategy: Develop and execute a global strategy spanning traditional SEO and Answer Engine Optimization (AEO), with the explicit goal of making Datasite both rank in search engines and citable in AI assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions. - Link Building: Lead an Authority & Entity Building program through digital PR, strategic partnerships, link building, and unlinked brand mentions to establish domain authority and solidify Datasite's semantic association with M&A technology in LLM training sets. Manage backlink profile health, including disavowal of toxic links and competitive link gap analysis. - Content creation & structuring for LLM recognition: Work with our content team to 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. Ensure content is technically structured to increase likelihood of AI citation. - Technical SEO & AI readiness: Partner with the Web Development Manager to deploy structured data markup, 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). - Keyword, entity & intent mapping: Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models. - Geo-targeted optimization: Lead a localization strategy across priority markets, ensuring localization practices (translations, hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy. - Performance analysis: Track and report on organic search performance, including demand, rankings, CTR, traffic, and LLM visibility metrics (e.g., referenced queries, query fan outs, position in AI response testing). Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms. - Cross-functional collaboration: 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). - Stay ahead of AI trends: 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. Qualifications - 5+ years of digital marketing experience with deep expertise in SEO and organic growth strategy. - Proven track record of increasing brand prominence, organic traffic, and conversions for B2B companies (ideally SaaS or technology). - Strong understanding of entity-based search tactics, Knowledge Graph management, and semantic NLP optimization. - Experience designing or optimizing content specifically for AI/LLM discoverability or answer engines. - Analytical skills using GA4, Search Console, and SEO platforms (Ahrefs, SEMrush, etc.). - Comfort operating in a measurement environment that is still maturing, able to set meaningful KPIs and defend them when complete attribution isn't available. - Technical understanding of HTML, metadata, and on-page optimization enough to brief developers. - Highly collaborative, hands-on mindset, capable of juggling strategic planning and execution. Preferred - Experience with AEO and visibility strategies in LLM platforms (ChatGPT, Gemini, Copilot, Perplexity). - Background in M&A, financial technology, or transaction lifecycle content. - Familiarity with LLM prompt engineering concepts or entity-based UX optimization. - Understanding of content distribution strategies to feed AI knowledge (e.g., public knowledge graphs, structured publishing, AI indexing enablement). - Knowledge of CRO and high-intent conversion strategies for organic landing pages. - Certifications in SEO, analytics, or AI-related marketing methodologies. Work Location & Flexibility This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities. The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $99,000.00 - $172,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

• Convince and win well-known enterprise companies in Germany • Present Sherpany’s vision to decision-makers • Engage with multiple departments within customer organizations • Identify prospects’ needs and prepare tailored proposals • Work closely with Sales, Product, and Customer Success teams to optimize the sales cycle

• Develop and execute a global strategy spanning traditional SEO and Answer Engine Optimization (AEO). • Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions. • Lead an Authority & Entity Building program through digital PR, strategic partnerships, link building, and unlinked brand mentions. • Work with our content team to create and optimize content (web copy, articles, resources, FAQs) aligning with structured knowledge formats. • Partner with the Web Development Manager to deploy structured data markup and ensure site crawlers and LLM scrapers can access content effectively. • Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models. • Lead a localization strategy across priority markets, ensuring localization practices support regional organic growth and LLM relevancy. • Track and report on organic search performance, including demand, rankings, and LLM visibility metrics. • Collaborate with content marketers, digital, product marketing, and thought leadership teams. • Proactively test Datasite visibility within AI assistants.