---
title: 'Account Executive at MotherDuck'
canonical: 'https://feeny.ai/job/account-executive-motherduck-new-york-7qbxz23hsrn5'
type: 'job'
last_seen: '2026-09-13'
---

# Account Executive at MotherDuck

- **Company:** MotherDuck
- **Location:** New York, NY
- **Compensation:** $175k–$325k
- **Employment:** full-time
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/motherduck/37efb789-3158-4ee5-8d46-dc86fbe7af95

## Job description

## About MotherDuck

Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. What you'll do: At MotherDuck, we're reimagining cloud-based data analytics with a delightful, developer-first experience powered by DuckDB. We're a team of curious, driven, and thoughtful people who believe simplicity can be powerful, and that selling software should be just as magical as building it. As we grow, we're looking for an Account Executive who can do more than just run a sales motion, we want someone who helps shape it. The best AEs we've met bring authentic confidence, real urgency, and the kind of entrepreneurial ownership that comes from genuinely believing in what they're selling. If you've spent time in the data analytics, database, or developer tooling space and you light up when a customer finally connects the dots on a hard problem, you might be just the duck we're looking for. This isn't a role where you'll be handed a polished playbook and told to execute. You'll be selling to data engineers, analysts, and technical decision-makers who will absolutely ask hard questions... and you'll need to love that part of the job. Our deal teams are collaborative by design (AE, customer engineer, support engineer, and manager all working together), so you'll never be going it alone. But you do need to show up with curiosity, grit, and the ability to read the room and adjust appropriately. This is a hybrid role based out of our New York City office (union square).

Key Responsibilities:

- Drive new revenue: Prospect, engage, and close new business across a mix of inbound and outbound opportunities.
- Own the full sales cycle: From first touch to signed contract, you’ll guide prospects through the buying process and ensure they feel the value of MotherDuck at every step.
- Understand the problem space: You’ll connect with data engineers, analysts, and decision-makers to understand their challenges and communicate how we solve them—clearly and convincingly.
- Collaborate cross-functionally: Work with product, marketing, and customer success to share feedback, align on messaging, and continuously improve how we go to market.
- Contribute to the playbook: Help refine sales strategies, positioning, and processes so we can scale efficiently (and delightfully).
- Build relationships, not just pipeline: Focus on long-term partnerships and helping customers get the most value out of their data.

## Requirements

- Proven experience in SaaS sales, ideally within the data analytics, database, or developer tooling space.
- Strong product and technical curiosity... you don’t need to be an engineer, but you should enjoy learning how the tech works and how it solves real problems.
- A consistent track record of meeting or exceeding quota and helping build revenue in a fast-moving environment.
- Drive and resilience... you push through setbacks, learn quickly, and stay focused on the goal.
- Coach-ability and self-awareness... you seek feedback, act on it, and grow from it.
- A strong alignment to our values:
- Agency: You take initiative and act like an owner.
- Thoughtfulness: You consider the “why” behind every decision.
- Unorthodoxy: You’re open to creative approaches and fresh thinking.
- Flexibility: You adapt quickly and stay calm in ambiguity.

## What we provide

- Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success.
- Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 85% coverage for dependents (because we care about your whole nest).
- Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond.
- 401k plan – because even ducks need to plan for the future.
- Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager.

Our Interview Process We like to keep things transparent, so here's what to expect if you apply...

- Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit
- A conversation with one of our Sales Leads to dig into your background, how you think about selling, and what draws you to MotherDuck
- A set of deeper conversations with our AE team covering your approach to technical buyers, how you navigate complex deals, and a hands-on exercise where you'll pitch MotherDuck to a skeptical audience
- A final conversation with our CEO focused on values and vision

Please Apply Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

## About MotherDuck

## Company Overview
- **One-liner**: MotherDuck is a serverless, cloud-native data warehouse built on DuckDB that delivers sub-second query performance and AI-native analytics for humans, agents, and applications.
- **Entity Type**: Private (Series B; $100M total funding)
- **Headquarters**: Seattle, Washington, United States (with hubs in San Francisco, New York, and Amsterdam)
- **Founded**: 2022
- **Founders**: Jordan Tigani (co‑founder & CEO, former Google BigQuery founding engineer) in partnership with DuckDB creators Hannes Mühleisen and Mark Raasveldt (DuckLabs)

## Core Business
- **Industry**: Data Infrastructure and Analytics (serverless cloud data warehouse)
- **Target Customers**: B2B – data teams, SaaS companies building customer‑facing analytics, AI/agent developers, and enterprises wanting to cut data warehouse costs
- **Mission**: “Collapse the distance between question and answer” – make it easy for anyone to explore data without waiting on data teams

## Products & Services
- **MotherDuck (Cloud Data Warehouse)**: Serverless, fully managed DuckDB service. Every user/agent gets an isolated DuckDB instance (“Duckling”) that spins up in 100ms and shuts down when idle. Supports petabyte‑scale data in S3, GCS, Azure (including Iceberg/Delta Lake). 5–10x cheaper than Snowflake/BigQuery.
- **DuckLake**: The fastest, simplest lakehouse – open table format that stores metadata in a SQL database instead of thousands of files, for petabyte scale and 100x faster metadata operations.
- **Dives**: AI‑generated interactive visualizations. Ask natural‑language questions, get live charts with sub‑second performance. Persistent and shareable – no separate BI tool needed.
- **Flights**: Agent‑native data pipelines – scheduled Python jobs for ingestion, enrichment, and transformation, built and deployed through the MCP server.
- **MCP Server (Model Context Protocol)**: Connects AI agents (Claude, ChatGPT, Cursor, etc.) to MotherDuck databases with fuzzy catalog search, query guidelines, and cost isolation.
- **Data Sharing**: Create shareable, read‑only snapshots of databases (cross‑org collaboration).
- **Read Scaling**: Replicas for high‑concurrency BI and multi‑user workloads.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: $40M annual revenue (LinkedIn estimate, 2026) + $100M total funding ($12.5M Seed, $35M Series A, $52.5M Series B)
- **Notable Investors/Partners**: Andreessen Horowitz, Redpoint, Felicis (investors). Technology partners include Airbyte, Fivetran, dbt, Metabase, Tableau, Hex, Power BI, LangChain, LlamaIndex, Anthropic, Monte Carlo, and 59+ others.
- **Growth Signals**: Headcount grew 54.4% YoY (to ~97 employees); active job postings increasing month over month (37.5% monthly trend, 11 open roles as of mid‑2026); strong ecosystem integration with 59 technology and 11 consulting partners.

## Competitive Advantages
- **Built on DuckDB**: Inherits the blazing‑fast, in‑process query engine that improves 20% per version, while adding serverless cloud capabilities.
- **Hypertenancy Architecture**: Each user/agent gets an isolated DuckDB instance – no noisy neighbors, no workload management, and no cost spikes from AI agents.
- **Extreme Cost Efficiency**: Customers routinely cut warehouse costs 5–10x vs. Snowflake/BigQuery by running small queries on small machines.
- **AI‑Native from Day One**: MCP server, Dives, Flights – designed for agentic and natural‑language analytics, eliminating the need for separate BI or orchestration tools.
- **Seamless Embedding**: SaaS companies can give each end customer an isolated analytics backend; 100ms spin‑up and zero idle costs make it ideal for product‑embedded analytics.

## Strategic Focus
- **Agentic Analytics**: Deepening AI integration (MCP, Dives, Flights) to make MotherDuck the default data layer for AI agents and natural‑language querying.
- **Customer‑Facing Analytics**: Helping SaaS vendors embed isolated, fast analytics into their own products.
- **Cost Migrations**: Continuing to win customers leaving expensive cloud warehouses (Snowflake, BigQuery, Redshift) by delivering comparable power at a fraction of the cost.
- **Ecosystem Expansion**: Growing the 70+ partner integrations to cover more data ingestion, transformation, BI, and AI tools.

## Why Work Here
- **Culture & Values**: A globally distributed team (Stretch from Seattle to Amsterdam) that values collaboration, fun (“quacking together”), and building a product that redefines data analytics. Emphasizes creativity, entrepreneurship, and building the future of data.
- **Work Policy**: Remote‑first with physical hubs in Seattle, San Francisco, New York, and Amsterdam. Teams hold regular offsites.
- **Benefits** (from careers page): Competitive compensation and stock options; 100% paid medical, dental, and vision for employees (85% for dependents); flexible time away; 401k plan.
- **Engineering Culture**: Small, high‑impact teams; ownership from day one; opportunities to work on core database technology, cloud infrastructure, and AI integration. Engineers come from Google, AWS, Databricks, Snowflake, and DuckLabs.
- **Open Roles**: 11 active positions as of mid‑2026, including Backend Engineer (Amsterdam, Seattle, SF, NYC), Customer Engineer, Implementation Solutions Engineer, Account Executive, and Business Development Representative. Salary bands: $140K–$260K for engineering roles + equity; sales roles $100K–$260K + commission.

## Sources
1. [motherduck.com (Product Overview)](https://motherduck.com/)
2. [motherduck.com (About Us)](https://motherduck.com/about-us/)
3. [motherduck.com (Careers)](https://motherduck.com/careers/)
4. [linkedin.com (Company Profile)](https://www.linkedin.com/company/motherduck)
5. [builtin.com (Workplace Perception)](https://builtin.com/company/motherduck/faq/workplace-perception)

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