Job Overview
Location
Remote
Job Type
Full-time
Category
Data Science
Date Posted
November 2, 2025
Full Job Description
đź“‹ Description
- • Own the end-to-end go-to-market strategy for Incorta’s data and AI platform, translating complex technical capabilities into crisp, revenue-generating narratives that resonate with C-suite executives, data engineers, and line-of-business leaders alike.
- • Architect and deliver a library of sales plays, competitive battle cards, ROI calculators, and persona-based pitch decks that empower global sales teams to move prospects from first call to signed contract faster and with greater confidence.
- • Produce high-impact technical content—whitepapers, solution briefs, case studies, demo scripts, and interactive web assets—that guides prospects through every stage of the funnel, from awareness and consideration to decision and expansion.
- • Partner daily with Sales Engineers and Account Executives to capture field intelligence, refine messaging, and rapidly iterate on enablement materials that shorten sales cycles and increase win rates.
- • Translate deep product knowledge into compelling website copy, SEO-optimized landing pages, and nurture emails that consistently rank on page one and convert at above-industry benchmarks.
- • Lead product launches and feature releases end-to-end: craft positioning, write press releases, orchestrate launch webinars, and arm demand-gen teams with the assets they need to create pipeline within hours—not weeks.
- • Conduct rigorous competitive and market analysis—tracking Snowflake, Databricks, Oracle, SAP, and emerging AI platforms—to surface insights that shape roadmap priorities and sharpen differentiation.
- • Build and maintain a data-driven content calendar that aligns with quarterly pipeline targets, ensuring every asset is measurable, attributable, and optimized for continuous improvement.
- • Serve as the voice of the customer inside the company, synthesizing win/loss interviews, analyst feedback, and user-community sentiment into actionable recommendations for Product, Engineering, and Executive leadership.
- • Collaborate cross-functionally with Product Management to define packaging, pricing, and roadmap narratives that accelerate adoption of new data management, analytics, and AI capabilities.
- • Champion Incorta at industry events, customer advisory boards, and third-party webinars—delivering thought-leadership talks that position the company as the definitive leader in unified data and AI platforms.
- • Establish metrics and dashboards that track content performance, sales utilization, and influenced revenue, presenting findings to senior leadership and iterating rapidly based on results.
- • Mentor junior marketers and create scalable playbooks that institutionalize best practices in product marketing, ensuring the team’s impact compounds over time.
🎯 Requirements
- • 4–5 years of B2B product marketing experience, ideally within enterprise data, analytics, or AI platforms
- • Hands-on experience with at least two of the following: Oracle Database, SAP ERP, Snowflake, Databricks, or comparable modern data stack technologies
- • Proven track record of creating sales enablement materials that directly accelerate pipeline and revenue
- • Exceptional written and verbal communication skills with the ability to translate complex technical concepts into clear business value
- • Demonstrated ability to manage cross-functional projects and influence without authority across Sales, Product, and Marketing teams
🏖️ Benefits
- • Competitive base salary of $140,000–$175,000 plus performance bonus and equity
- • Fully remote-first culture with flexible hours and quarterly in-person team gatherings
- • Comprehensive health, dental, and vision coverage for you and your dependents
- • Annual professional development stipend for conferences, courses, and certifications
Skills & Technologies
Senior
Remote
About Incorta Inc.
Incorta provides an open data delivery platform that enables direct analytics on complex enterprise data without traditional modeling, ETL, or data warehouses. Founded in 2013 and headquartered in San Mateo, California, it offers unified data ingestion, transformation, and visualization for finance, supply chain, and customer applications. Its Direct Data Mapping technology accelerates query performance across relational, cloud, and on-premises sources, supporting self-service analytics, operational reporting, and machine learning workflows. Customers include Fortune 500 enterprises seeking faster insights and reduced infrastructure costs. The company offers cloud and on-premise deployment options and maintains global offices and partner ecosystems.
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