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Enterprise Account Executive

GoodData

San Francisco, CAJob$200–340K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$200–340K/yr
Location
San Francisco, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

GoodData.AI seeks an Enterprise Account Executive to grow its U.S. enterprise business by selling analytics and AI solutions. The role owns the full sales cycle, from prospecting and discovery through negotiation and closure, and builds relationships with senior decision-makers. It is based in San Francisco with in-office collaboration 2–3 days per week, regular early-morning coordination with European teams, and travel as deal needs require.

Skills & qualifications

RequiredNice to have

Skills

SalesSoftware as a Service (SaaS)Enterprise Application SoftwareNegotiationConsultative SellingRelationship BuildingData ScienceArtificial IntelligenceB2B SaaS SalesEnterprise Software SalesPipeline GenerationEnterprise Deal ClosingComplex Technical SalesTechnical Stakeholder EngagementExecutive Relationship BuildingDiscoveryAccount ExpansionCollaborationCommunicationPresentation SkillsCross-Cultural CollaborationData SalesAnalytics SalesAI SalesProfessional Services Sales

Qualifications

5+ Years B2B SaaS or Enterprise Sales

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

About the Role GoodData.AI is seeking an ambitious, results-driven Enterprise Account Executive to grow our enterprise business in the U.S. If you're passionate about data, analytics, and AI, thrive in fast-paced environments, and have a proven track record of building pipeline and closing complex enterprise deals, this is your opportunity to help organizations turn trusted data into actionable insights and intelligent decisions through agentic analytics and AI.

What You’ll Do

  • Drive new business by selling GoodData.AI's analytics and AI solutions to enterprise customers across the U.S.

  • Develop and execute sales strategy and account plans to build a strong pipeline, identify new business opportunities, and consistently achieve revenue targets.

  • Own the entire sales cycle, from outbound prospecting and discovery through negotiation and deal closure.

  • Lead discovery conversations to understand customer business challenges, identify use cases, and articulate the value of GoodData's solutions.

  • Build relationships with VP and C-level decision-makers and lead complex, multi-stakeholder enterprise deals through closure.

  • Partner closely with Solutions Engineering to lead technical evaluations, address customer requirements, and demonstrate the value of GoodData's solutions.

  • Collaborate with marketing, product, and customer success teams to advance sales opportunities and provide feedback from the market.

  • Maintain accurate pipeline data and sales forecasts, providing clear visibility into deal progression, risks, and next steps.

  • Consistently meet or exceed revenue goals and key performance metrics.

How we work

  • Collaborative Spirit: Partner with US-based Solution Engineering, Partnership, 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.

About You

  • 5+ years of direct B2B SaaS or enterprise software sales experience, with demonstrated success selling to enterprise customers.

  • Hunter mentality with a proven ability to independently generate qualified pipeline and close new business.

  • Experience selling complex technical products or solutions to enterprise customers, with the ability to engage confidently with technical stakeholders and communicate value to both technical and business audiences.

  • Comfortable selling to and building relationships with VP, SVP, and C-level executives.

  • Strong discovery, negotiation, and consultative selling skills, with the ability to translate customer challenges into compelling business solutions.

  • Ability to build long-term relationships with enterprise customers, identify new business opportunities, and uncover potential for account expansion.

  • Transparent and collaborative team player who proactively communicates opportunities, challenges, and blockers to support strategic decision-making.

  • Detail-oriented, with excellent relationship-building, organizational, and customer service skills.

  • Excellent written and verbal communication skills, including strong presentation skills.

  • Ability to work cross-culturally and cross-functionally.

  • Experience selling data, analytics, AI, Professional Services, or related enterprise software solutions is a plus.

About GoodData.AI At GoodData.AI, we're building the future of agentic analytics. GoodData.AI is a leading cloud-based analytics and AI platform that empowers organizations to make data-driven decisions at scale. Our platform allows companies to seamlessly embed AI and analytics into their products, services, and workflows—delivering real-time insights for their customers exactly where they’re needed. With a robust, innovative, AI-native architecture, GoodData.AI empowers our customers to build scalable, secure, and highly customizable agentic analytics experiences. Trusted by global enterprises and innovative SaaS companies alike, GoodData is redefining how data and AI work together to drive smarter business outcomes.

Compensation & Benefits

  • Health, Dental, and Vision Insurance

  • 401(k) plan with company match

  • Paid Time Off

  • Paid Parental Leave

  • Weekly Lunch Credit

  • Wellness and Work from Home Stipends

On-target earnings (OTE): 200,000 - 340,000 annually, based on a 50/50 base salary and target commission structure, plus equity. The range represents the anticipated low and high range for this position. Actual salary will vary based on geographic location, job related skills, experience, qualifications and market conditions.

#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 4,726 open Enterprise Sales jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$200–340K/yr
  • California median$163–257K/yr540 salary ranges
  • US median$140–214K/yr3,800 salary ranges

This range's midpoint, $270K, is 34% above the California median midpoint ($202K) — in the middle half of Enterprise Sales salary ranges in California.

Openings
Olive Jobs lists 655 open Enterprise Sales jobs in California and 4,726 across the US. 22% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Enterprise Sales postings that state a minimum ask for 7 years at the median (4,101 postings).
Education
376 of the 4,726 open Enterprise Sales jobs (8%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 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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