Redwood Software

Performance Marketing

• Execute integrated demand generation campaigns across email, website, paid channels, and organic programs.
• Build and optimize email marketing campaigns including newsletters, nurture flows, promotional sends, and triggered automation.
• Build AI workflows to generate additional pipeline and opportunities
• A/B test subject lines, CTAs, landing pages, and messaging to continuously improve performance.
• Track, analyze, and report on campaign performance metrics, including MQLs, opportunities, conversion rates, and pipeline contribution.
• Manage website updates to support campaigns, product launches, and conversion optimization efforts.
• Optimize landing pages and forms to improve lead capture and user experience.
• Partner with marketing leader and web teams to improve SEO, site engagement, and conversion rates.
• Monitor website analytics and recommend improvements based on data insights.
• Develop and manage lead nurture programs aligned to buyer stages and personas.
• Support lead scoring model implementation and ongoing optimization in collaboration with sales.
• Ensure proper lead routing, qualification criteria (MQL/SQL definitions), and CRM hygiene.
• Analyze funnel performance and identify gaps in lead progression.
• Work closely with sales to align on feedback, lead quality, and conversion improvement opportunities.
• Maintain dashboards and reporting on demand generation KPIs.
• Provide insights into campaign ROI, attribution, and pipeline impact.
• Identify trends and recommend strategies to improve lead quality and marketing effectiveness.

Demand Generation Specialist

Data Scientist

• Transform revenue data into AI-powered intelligence for decision-making.
• Lead application of advanced analytics, machine learning, and generative AI.
• Conduct in-depth analysis on sales cycles, conversion rates, and customer churn.
• Leverage AI to generate insights and improve analytical depth.
• Translate AI-derived data findings into concise narratives for stakeholders.
• Perform ad-hoc, AI-assisted data analysis to support strategic initiatives.
• Apply advanced statistical methods and machine learning to forecast revenue.
• Design, develop, and deploy AI-driven predictive models.
• Collaborate with stakeholders to define business problems into AI solutions.
• Continuously evaluate and refine models for accuracy, fairness, and impact.

Data Scientist – AI Engineer

Communications

• Shape how the global analyst community understands and positions Redwood.
• Own and scale analyst engagement strategy across Gartner and EMA.
• Actively manage relationships and prepare executives for high-stakes engagements.
• Influence how analysts interpret our roadmap, differentiation and market category.
• Own Redwood’s global analyst relations program including strategy, engagement planning and performance tracking.
• Build and maintain strong relationships with analysts across major firms and relevant boutique research organizations.
• Lead preparation for Magic Quadrants, Market Guides, Waves and other analyst evaluations.
• Develop clear, differentiated briefing materials that articulate Redwood’s value, roadmap and competitive strengths.
• Coordinate analyst briefings, inquiries and advisory sessions for consistent messaging.
• Expand Redwood’s analyst footprint into new automation, AI and ERP-related coverage areas.
• Partner with Product Marketing for consistent messaging across analyst conversations.
• Influence market narratives on automation, orchestration and SAP modernization.
• Translate analyst insights into actionable recommendations for Product and GTM teams.
• Track analyst sentiment, coverage, report inclusion and positioning shifts.

Communications Manager

Sales Operations Manager

• Act as a Business Partner to sales leadership on all things related to their business.
• Design, deploy, and maintain AI agents to assist the sales process (e.g., automated account research, AI-generated expansion prompts, and meeting intelligence summaries).
• Act as the technical consultant to sales leadership, translating business requirements into scalable code, automations, or data models.
• Drive territory and book-of-business assignments using data-driven modeling to ensure optimal account distribution.
• Own the forecasting process, leveraging Clari and predictive AI to improve accuracy and visibility into "at-risk" pipeline and renewals.
• Create validation and enrichment rules and processes to maintain pristine data integrity, replacing manual hygiene with scalable technical solutions.
• Build advanced dashboards focused on churn signals, expansion trends, and Sales Accepted Opportunity velocity.
• Build relationships with various departments

Sales Operations Analyst

Solutions Engineer

• Emphasizes equal opportunity employment practices.
• Handles and processes personal data according to GDPR regulations.

Senior Solutions Engineer

Events

• Identify and prioritize the most impactful events we should participate in.
• Work cross-functionally with marketing and sales to plan events.
• Manage and communicate the event calendar.
• Lead the project management and logistics of events we are attending.
• Able to travel domestically and occasionally internationally to manage the booth
• Write pre-show and post-show email copy, build emails in Hubspot, and send emails in Hubspot.
• Manage pre-show social media promotion
• Manage lead handoff to sales from booth scans at the events
• Manage the post-show lead nurture through Hubspot email and digital ads.
• Measure, report, and optimize event performance.
• Communicate our event results and optimizations to leadership.

Demand Generation Specialist

Data Scientist – AI Engineer

Communications Manager

Sales Operations Analyst

Senior Solutions Engineer

Events Marketing Specialist