---
title: 'Sales Engineer at GoodData'
canonical: 'https://feeny.ai/job/sales-engineer-gooddata-san-francisco-t8c6thwfzqfy'
type: 'job'
last_seen: '2026-10-30'
---

# Sales Engineer at GoodData

- **Company:** GoodData
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.ashbyhq.com/gooddata/ef7b46d4-f5f0-48cd-8ee1-a5d0bd5a4bf7

## Job description

About [GoodData.AI](http://GoodData.AI) At [GoodData.AI](http://GoodData.AI), we're building the future of agentic AI for data intelligence. Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With [GoodData.AI](http://GoodData.AI), organizations don't just analyze data, they monetize it. But what really sets [GoodData.AI](http://GoodData.AI) apart is our mission: to put intelligence wherever decisions are made. That's why we've built a platform that's AI-native, composable, and built for the way modern enterprises work.

## About the Role

GoodData is hiring a Sales Engineer in San Francisco to win new deals and grow our US accounts. You’ll be the technical lead on our US deals. That means confidently walking into a room with a CIO, a data engineering lead, and a skeptical architect, quickly understanding your audience, and leading a conversation that moves the deal forward. You're comfortable running customer demos and technical discussions independently, navigating tough questions, and building credibility with stakeholders at every level. You don’t wait for the AE to tell you what’s next. You anticipate technical challenges, develop solutions, and proactively drive the next steps. This is far beyond a standard demo role. You will act as a strategic technical advisor and advocate, guiding enterprise customers on how GoodData's Agentic Serving Plane—including our semantic layer, agentic AI capabilities, embedded analytics, and flexible APIs—fits seamlessly into modern data architectures.

## What you'll do

Own the technical sales cycle

- Lead technical discovery: Evaluate customer business goals, data stack, AI roadmap, integration requirements, and security criteria.
- Design tailored solutions: Formulate solution architecture, data modeling strategies, and AI/agentic workflows into actionable recommendations, interactive demos, and prototypes.
- Deliver technical presentations: Conduct customized product demos and deep-dive technical workshops for prospect stakeholders and executive teams.
- Support GTM initiatives: Collaborate on technical outbound content, customer expansion playbooks, and workshops to drive net new acquisition and cross-sell momentum.
- Drive Proofs of Concept (PoCs): Define success criteria, build PoCs, manage check-ins, and deliver final technical readouts to secure technical wins.
- Partner with Account Executives: Align on deal strategy, opportunity qualification, mutual action plans, and technical validation.
- Manage technical procurement: Complete RFPs/RFIs, security questionnaires, and architecture reviews in coordination with cross-functional teams.

Be GoodData's technical voice in the US

- Present at conferences, meetups, partner events, and webinars; deliver talks and live demos
- Represent GoodData at customer dinners, executive briefings, and booth sessions
- Work with US partners in the data ecosystem (e.g. Snowflake, Databricks, cloud providers) on joint demos and co-selling.

## How we work

- Collaborative Spirit: Partner with US-based Account Executives, Solution Engineering, and Customer Success teams while serving as the vital technical bridge to European technical sales, engineering and product leaders.
- Hybrid Work: This position is based in San Francisco, CA. Connect in-person with colleagues at our SF office 2-3 days a week, with client and event travel as deal momentum demands.
- Global Collaboration: Work closely with our European teams, requiring regular early morning availability starting at 7:00 AM PT, with occasional meetings as early as 6:00 AM PT. Afternoons are generally focused on US customer discovery and strategic meetings.
- Travel: Up to 20% travel within North America for high-impact on-sites, key conferences, and partner events, with occasional trips to Europe. Depending on the progress of the deals, we sometimes visit prospects at later stages of the deal or for in-person discovery sessions.

## What you bring

- 5+ years in a customer-facing technical role (Sales Engineer, Solutions Engineer, Solution Architect, Field CTO, Forward-Deployed Engineer or similar), ideally selling B2B data, analytics, AI solutions, or developer platforms to US mid-market and enterprise buyers.
- A proactive, owner’s mindset: you anticipate what a deal needs next, whether that’s a prototype, an executive briefing, or a hard conversation about fit, and you drive it forward before anyone asks.
- Demonstrated experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.
- Presence: you’re at ease running a live demo for a room or a C-level audience, handling hard questions, and steering a meeting that’s going sideways.
- Solid grounding in analytics and data: SQL, dimensional modeling, semantic layers, and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Postgres).
- Hands-on building skills: you can prototype with Python, SQL, REST APIs, SDKs, and/or React/TypeScript, using AI coding tools (Claude Code, Cursor, Codex) as part of your daily work.
- Practical knowledge of AI and agentic systems: LLMs, agents, MCP, RAG, tool use, evaluation, and guardrails, and the ability to tell what is real from what is hype.
- Strong communication skills. You write briefs, recommendations, and handoffs that someone nine time zones away can act on without a follow-up call.

## Nice to have

- Experience with GoodData or comparable platforms (Looker, PowerBI, Sigma, etc.)
- Experience selling AI, analytics, or data-related solutions to SaaS companies.
- Experience building AI apps, agents, or copilots beyond a prototype
- An existing network in the Bay Area data and AI community, or a history of speaking at events such as Data + AI Summit, Snowflake Summit, or local meetups.
- Experience working with globally distributed engineering teams across time zones.
- Cloud experience on AWS including marketplace and co-sell motions.
- Early-stage experience: you have helped build a presales function in a new region or market.

Compensation: The annual base salary range is $150,000 - $170,000 plus variable incentive compensation and equity eligibility.

#LI-Hybrid

## About GoodData

## Company Overview
- **One-liner**: GoodData (now GoodData.AI) provides an AI-native, governed analytics platform designed for embedded, agentic, and enterprise decision intelligence.
- **Entity Type**: Private (total funding $170.2M, 13 rounds)
- **Headquarters**: San Francisco, California, USA; major offices in Prague and Brno, Czech Republic
- **Founded**: 2007
- **Founders**: Roman Stanek (Founder & CEO)

## Core Business
- **Primary industry/industries**: Business Intelligence, Data Analytics, Artificial Intelligence
- **Target customers**: B2B, Enterprise (companies embedding analytics into their products or building custom data applications)
- **Mission**: "To help you build the best data apps and products with GoodData's AI-native decision intelligence platform, designed to turn trusted data into confident action." [about page](https://www.gooddata.ai/company/)

## Products & Services
- **GoodData.AI Platform**: A composable, AI-native analytics platform featuring a governed semantic layer, agentic analytics (automated agents and workflows), embedded analytics capabilities, and an API-first architecture. Deployable on cloud or on-premises. [homepage](https://www.gooddata.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Annual revenue $63.0M; total funding $170.2M (LinkedIn)
- **Notable Investors/Partners**: General Catalyst Partners, Andreessen Horowitz, Intel Capital, Tenaya Capital. Board members include James Gellert, Tom Erickson, Larry Bohn, John O’Farrell (General Catalyst). [about page](https://www.gooddata.ai/company/)
- **Growth Signals**: Employee count grew 5.2% YoY to approximately 192 (LinkedIn); 3.6M users (about page) and 4.6M satisfied customers (homepage); 140K+ global businesses using the platform; recognized by Gartner (2025). Headcount data varies by source – Built In reports 341 total employees versus LinkedIn’s 192. [linkedin.com](https://www.linkedin.com/company/gooddata) [builtin.com](https://builtin.com/company/gooddata)

## Competitive Advantages
- **Governed Semantic Layer**: Business logic defined once ensures consistent, trustworthy insights across dashboards, agents, and embedded workflows.
- **AI-Native & Agentic**: Built from the ground up for AI velocity, with automated agents and agentic analytics capabilities.
- **Composable & Open Architecture**: API-first design allows seamless integration with existing cloud ecosystems and custom data products.
- **Security & Trust**: “Secure by design” with on-premises or cloud deployment options, lineage and policy compliance.
- **Award-Winning**: Named a Visionary by Gartner; 4.3 Gartner rating (187 reviews). [homepage](https://www.gooddata.ai/)

## Strategic Focus
- Accelerating enterprise AI adoption through a governed semantic foundation.
- Expanding agentic analytics and automated workflows.
- Deepening embedded analytics for customer-facing applications.
- Rebranding to GoodData.AI to emphasize the AI-native shift.

## Why Work Here
- **Culture**: “Results matter more than locations” – flexible remote/hybrid/in-office options in San Francisco, Prague, and Brno. Employee-led wellness initiative **GoodLife**. Emphasis on impact and teamwork: “Small enough that your work is visible, large enough that it matters.” [careers page](https://www.gooddata.ai/company/careers/)
- **Engineering Culture**: Values curiosity, directness, and solving hard problems. “If you want to create something meaningful, not maintain something comfortable, you’ll fit right in.”
- **Open Roles** (as of search date): Sr. Backend Engineer (Kotlin, Calcite), AI Solution Engineer, Sr. AI Python Engineer, Sr. Product Manager. Open positions in U.S. and Czech Republic. [linkedin.com](https://www.linkedin.com/company/gooddata)
- **Locations**: San Francisco (hybrid/in-office), Prague & Brno (in-office). Global team spanning North America and Europe.

## Sources
1. [gooddata.ai company careers](https://www.gooddata.ai/company/careers/)
2. [gooddata.ai homepage](https://www.gooddata.ai/)
3. [gooddata.ai about page](https://www.gooddata.ai/company/)
4. [builtin.com company page](https://builtin.com/company/gooddata)
5. [linkedin.com company page](https://www.linkedin.com/company/gooddata)

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