Head of Post Sales Technology

MongoDB

Hybrid

Quick summary

Work type: Hybrid
Location: Palo Alto, CASan Francisco, CA
Salary: $168,000–$330,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $249k

$127k most similar roles pay here $352k

This role pays more than 82% of similar roles. Most pay $159,099–$225,481 — the shaded band above. At the midpoint, this role pays about $249k versus about $192k for comparable roles.

Based on 238 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Head of Post Sales Technology

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The Head of Customer Support Technology at MongoDB is a senior leadership role within the IT organization responsible for spearheading an AI-first transformation in customer support. This leader will design and execute a technology strategy that integrates AI as the core foundation across all aspects of customer support operations, including self-service tools, intelligent routing, real-time agent assistance, and predictive analytics. Key responsibilities include defining a multi-year AI roadmap with capabilities such as suggested responses, knowledge article generation, and sentiment detection; architecting scalable conversational AI platforms for various channels; implementing predictive case routing and automation workflows; establishing unified data architecture for insights and predictive analytics; and ensuring seamless integration of the support technology stack with other enterprise systems. The ideal candidate has over a decade of experience in leading large-scale AI adoption and possesses strong technical depth in post-sales and customer success platforms, as well as strategic leadership skills to drive measurable business value through innovative solutions.

Skills

AI MachineLearning NaturalLanguageProcessing ConversationalAIAPIs PredictiveAnalytics DataArchitecture RealTimeDashboards UnifiedSupportDataArchitecture EnterpriseIntegration APIStandardization HighAvailability SecurityCompliance CI/CD Python RAGSolutions PostgreSQL MongoDB

What you'll do

Define and own a multi-year AI roadmap for post-sales support.
Reimagine customer support workflows with AI as the default tool.
Lead transition from reactive to predictive service operations.
Architect scalable conversational AI platforms across multiple channels.
Implement predictive case routing based on complexity and skill levels.
Establish unified data architecture for real-time actionable insights.

What we're looking for

10+ years of experience leading AI adoption and implementation at scale.
Proven track record in product management within IT, including vision setting and roadmap execution.
Deep technical expertise in post-sales platforms, data integration, and intelligent automation.
Strong strategic leadership skills to drive measurable business value through AI initiatives.
Excellent stakeholder management and change leadership capabilities.
Bachelor’s degree required; Master’s or MBA preferred.
Experience with enterprise data platforms, RAG solutions, and workflow automation.

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