Sales Engineer
San Francisco, CAJob$150–170K/yrPosted todayStill listed today
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At a glance
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Job overview
GoodData is hiring a Sales Engineer in San Francisco to lead technical sales for US deals and grow accounts. The role advises enterprise customers on integrating GoodData’s Agentic Serving Plane into modern data architectures, and spans discovery, solution design, demos, proofs of concept, procurement, and deal strategy. The engineer also represents GoodData at industry events and works with US partners and European teams.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About GoodData.AI At 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, organizations don't just analyze data, they monetize it. But what really sets 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
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Lead technical discovery: Evaluate customer business goals, data stack, AI roadmap, integration requirements, and security criteria.
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Design tailored solutions: Formulate solution architecture, data modeling strategies, and AI/agentic workflows into actionable recommendations, interactive demos, and prototypes.
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Deliver technical presentations: Conduct customized product demos and deep-dive technical workshops for prospect stakeholders and executive teams.
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Support GTM initiatives: Collaborate on technical outbound content, customer expansion playbooks, and workshops to drive net new acquisition and cross-sell momentum.
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Drive Proofs of Concept (PoCs): Define success criteria, build PoCs, manage check-ins, and deliver final technical readouts to secure technical wins.
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Partner with Account Executives: Align on deal strategy, opportunity qualification, mutual action plans, and technical validation.
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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
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Present at conferences, meetups, partner events, and webinars; deliver talks and live demos
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Represent GoodData at customer dinners, executive briefings, and booth sessions
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Work with US partners in the data ecosystem (e.g. Snowflake, Databricks, cloud providers) on joint demos and co-selling.
How we work
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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.
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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.
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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.
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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
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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.
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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.
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Demonstrated experience independently managing the technical aspects of complex sales opportunities, from discovery and PoC through technical validation and close.
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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.
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Solid grounding in analytics and data: SQL, dimensional modeling, semantic layers, and cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Postgres).
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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.
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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.
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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
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Experience with GoodData or comparable platforms (Looker, PowerBI, Sigma, etc.)
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Experience selling AI, analytics, or data-related solutions to SaaS companies.
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Experience building AI apps, agents, or copilots beyond a prototype
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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.
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Experience working with globally distributed engineering teams across time zones.
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Cloud experience on AWS including marketplace and co-sell motions.
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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
Benefits
Paid time off
Personal days
Floating Holidays & Volunteer days
Medical, Dental, and Vision Benefits
Life, Voluntary Life, AD&D
Employee Assistance Program
401k Matching
WFH Stipends
Parental Leave
Gympass
Shine
GrubHub+
Apply now
About GoodData
- Main careers page
- Offices in USA
- Benefits
Share this position
About GoodData
- Main careers page
- Offices in USA
- Benefits
How this job compares
Set against the 1,175 open Sales Engineering jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$150–170K/yr
- California median$159–240K/yr165 salary ranges
- US median$148–214K/yr818 salary ranges
This range's midpoint, $160K, is 19% below the California median midpoint ($198K) — in the lowest quarter of Sales Engineering salary ranges in California.
- Openings
- Olive Jobs lists 191 open Sales Engineering jobs in California and 1,175 across the US. 26% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Sales Engineering postings that state a minimum ask for 5 years at the median (851 postings).
- Education
- 225 of the 1,175 open Sales Engineering jobs (19%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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