---
title: 'Senior Director, Global AI Native & POD Program at MongoDB'
canonical: 'https://feeny.ai/job/senior-director-global-ai-native-pod-program-mongodb-austin-famxd81j61v9'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Director, Global AI Native & POD Program at MongoDB

- **Company:** MongoDB
- **Location:** Austin, TX / New York, NY / San Francisco, CA
- **Compensation:** $190k
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-06
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8092253

## Job description

MongoDB is seeking a Senior Director to provide global program leadership across our PoD Program — the operating model supporting our most strategic global accounts as well as to lead global program management for our AI, Digital Native, and Acquisition account segments.

This is a highly cross-functional, strategic role at the intersection of sales strategy, revenue operations, and go-to-market execution. The ideal candidate is a systems thinker who can architect scalable program frameworks, translate data into actionable whitespace and account strategy, and align Product, Services, Sales, and Partner organizations around a shared playbook for growth in our highest-priority accounts and fastest-growing segments.

You will operate as the connective tissue between field sales leadership, account teams, and corporate functions — ensuring our most important customers and our highest-growth segments receive consistent, best-in-class coverage models, sizing, and go-to-market motions.

We are interested in speaking with candidates who are based out of Austin, New York, and San Francisco

## Role Responsibilities

Strategic Account Program Leadership (PoD)

- Own the end-to-end operating cadence for the PoD program covering MongoDB's most strategic global accounts
- Partner with global account leaders to ensure consistent program governance, executive reporting, and cross-regional alignment
- Serve as the central point of coordination for account planning cycles, QBRs, and executive engagement across PoD accounts

Segmentation

- Design and continuously refine global account segmentation frameworks across strategic, AI/Digital Native, and Acquisition accounts
- Ensure segmentation logic reflects growth potential, product fit, and strategic value, and is consistently applied across regions

Whitespace Analysis

- Build repeatable whitespace analysis methodologies to identify expansion opportunities within existing accounts and adjacent buying centers
- Partner with sales and analytics teams to operationalize whitespace insights into account plans and territory design

Best Practice Sharing

- Establish mechanisms (playbooks, communities of practice, enablement forums) to capture and scale best practices from top-performing account teams globally
- Drive knowledge-sharing loops between strategic account teams, AI/Digital Native teams, and Acquisition sales

Sales Plays

- Design and launch targeted sales plays aligned to product launches, industry motions, and segment-specific opportunities (e.g., AI workloads, digital-native growth patterns, net-new acquisition)
- Partner with Product Marketing and Sales Enablement to ensure plays are field-ready, measurable, and iterated based on performance data

Cross-Functional Alignment

- Serve as the primary program owner aligning Product, Services, Sales, and Partner organizations around strategic account and segment priorities
- Facilitate structured forums to ensure product roadmap, services capacity, partner ecosystem strategy, and sales motion are synchronized

TAM Analysis & Quota Sizing

- Lead global TAM/SAM analysis to inform investment prioritization across strategic accounts and growth segments
- Partner with Sales Finance and Sales Operations on quota sizing methodologies to ensure targets are data-driven, equitable, and aligned to market opportunity

Global AI, Digital Native & Acquisition Program Management

- Provide program management discipline for go-to-market motions targeting AI-native and digital-native companies, as well as newly acquired accounts
- Ensure these segments benefit from the same rigor of segmentation, whitespace analysis, and playbook development as the strategic PoD accounts

## Requirements

## Experience

- 10+ years of experience in sales strategy, revenue operations, program/product management, or management consulting, ideally within enterprise software or cloud/data infrastructure
- Proven experience designing and running global account-based programs for strategic/named accounts (Fortune 100/Global 2000 experience strongly preferred)
- Experience working with or supporting financial services, healthcare, or other regulated enterprise verticals is a plus given the current PoD account mix
- Experience supporting AI/ML or digital-native customer segments and/or M&A integration/account transition programs

## Skills

- Strong quantitative and analytical skills — comfortable owning TAM/SAM modeling, segmentation analytics, and quota/capacity sizing
- Demonstrated ability to build and scale programs from ambiguity — this is a builder role, not just a maintainer role
- Excellent executive presence and communication skills; able to represent the program to C-suite and field leadership alike
- Strong cross-functional influence skills — ability to align Product, Services, Sales, and Partner leaders without direct authority
- Experience with sales methodology, account planning frameworks, and GTM playbook design

Tools & Data Fluency

- Comfortable working with CRM (Salesforce), BI/analytics tools, and sales planning/quota systems
- Experience partnering with Sales Ops/Finance on territory and quota design

Education

- Bachelor's degree required; MBA or equivalent advanced degree preferred

## About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. [From employee affinity groups, to fertility assistance and a generous parental leave policy](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.[Learn more about what it’s like to work at MongoDB](https://www.mongodb.com/blog/channel/culture), and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426355 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is: $190,000—$190,000 USD

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

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