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Required VP Product Marketing & Customer Education
This is a transformative leadership role reporting directly to the CMO. Youll lead a high-performing team responsible for solution positioning, messaging, competitive differentiation, go-to-market strategy, analyst relations, and customer-facing storytelling. Youll bring together strategy and execution, uniting internal stakeholders around a cohesive narrative and enabling our teams to speak with one voice across every touchpoint.
Were looking for a proven leader who is both highly strategic and hands-onsomeone who can set a vision, inspire a team, and also roll up their sleeves to dive into messaging, launches, and customer engagement.
What You'll Do:
Lead and Grow the Team: Build, mentor, and scale a world-class product marketing team. Foster a culture of curiosity, excellence, and impact. Develop leadership capabilities across direct and skip-level reports.
Craft Messaging That Resonates: Own and evolve our messaging and positioning. Ensure it is differentiated, customer-centric, and aligned with our broader narrative. Tailor messaging for key personas across industriesfrom CMOs and strategy leaders to analysts and performance marketers.
Drive Go-to-Market Strategy: Partner with Product, Sales, and Customer Success to define and execute launch strategies for new products and features. Ensure launch excellence across content, enablement, measurement, and internal alignment.
Fuel Competitive Differentiation: Collaborate closely with our competitive intelligence and product teams to keep messaging fresh and aligned to market dynamics. Embed clear points of differentiation into every touchpointfrom sales decks to website copy.
Be a Thought Partner Across the Business: Work directly with VP- and C-level product and sales leaders as a strategic voice and challenger. Stay close to customers, analysts, and market trends to help inform product strategy and roadmap priorities.
Elevate Analyst and Market Perception: Partner with Communications and Analyst Relations to shape how we are viewed across the industry. Develop briefings, narratives, and supporting materials to influence analyst evaluations and category leadership.
Empower the Field: Collaborate with GTM teams to create the right content, tools, and training that drive commercial success. Ensure our front-line teams have what they need to deliver consistent, compelling customer experiences.
Deliver the Message Yourself: Actively participate in events, keynotes, webinars, and customer briefings as a lead storyteller for us. Represent the voice of the company and help bring our vision to life externally.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

We are looking for a highly motivated and talented Senior Business Analyst to join our Revenue Analytics team and contribute to our Go-To-Market organization's strategic decision-making process.
As a Senior Business Analyst, you will work closely with members of the Go-To-Market organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Senior Business Analyst mean?
Collaborate closely with members of the Go-To-Market organization to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our Go-To-Market efforts.
Identify new growth opportunities and foster a data-driven culture within the Go-To-Market organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.