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Pythian

Cloud migration and managed analytics services

Senior Sales Executive

Account ExecutiveUpdated on Nov 14
Full-timeRemote in USA$150k - $175k /yr

About the Job

Requirements

  • 10+ years of enterprise technology sales experience with a consistent record of meeting or exceeding quota.
  • Active experience selling Data and AI services, including managed databases, cloud data platforms, AI strategy, or production AI implementations, to enterprise buyers.
  • Demonstrated ability to sell managed services, build business cases, and navigate procurement for recurring-revenue engagements.
  • Experience co-selling with hyperscaler or original equipment manufacturer field teams, including familiarity with partner programs, deal registration, and funded motions.
  • Ability to coordinate cross-functional resources, including solutions architects, delivery leads, legal, and finance, across complex multi-stakeholder sales cycles while maintaining momentum and scope control.
  • Ability to pursue new logos and grow and retain existing accounts.
  • Ability to engage confidently at vice president and C-suite level across business and technical audiences.
  • Proficiency in Salesforce for pipeline management, forecasting, and account planning.
  • Strategic territory planning and disciplined pipeline management.
  • Consultative selling, including diagnosing business problems before proposing solutions.
  • Ability to influence, persuade, and build consensus across complex enterprise buying committees.
  • Curiosity about AI developments and their enterprise implications.
  • Clear written and verbal communication, presentation, and proposal skills.

Responsibilities

  • Build and execute a territory plan with a disciplined mix of new-logo hunting, inbound conversion, and account expansion.
  • Maintain an accurately forecasted pipeline in Salesforce and provide weekly pipeline reviews and revenue projections.
  • Develop targeted account strategies for key prospects in retail, manufacturing, logistics, financial services, and other enterprise verticals.
  • Identify and pursue net-new logos while deepening relationships and expanding wallet share within existing accounts.
  • Lead discovery and solution conversations about Production AI, AI Strategy, Agentic AI, and AI Automation with enterprise buyers, including chief AI, data, technology, and information officers.
  • Explain how well-managed data estates across databases, cloud data platforms, and data migrations support scalable AI.
  • Sell Database Managed Services and DBA Support, connecting operational reliability to AI readiness and cost efficiency.
  • Help clients understand the phased Data Foundations to Production AI journey and position suitable entry points based on their maturity.
  • Co-sell with hyperscaler and OEM field teams, including Google Cloud and Oracle, to drive joint pipeline and use partner co-sell programs, marketplace motions, and funded assessment opportunities.
  • Navigate partner deal registration, funding programs, and co-sell qualification processes across technology ecosystems to accelerate deal velocity and protect margin.
  • Build and maintain relationships with partner account teams and activate appropriate partner resources at each deal stage.
  • Own primary account relationships while leveraging delivery, solutions, and field CTO resources as needed.
  • Lead enterprise sales cycles from discovery through business case development, proposal, negotiation, and close.
  • Coordinate Solutions Architecture, Delivery, Legal, and Finance as the internal project manager for deals, keeping complex cycles moving, maintaining scope integrity, and delivering proposals on time.
  • Engage internal resources such as Field CTOs, practice leads, and delivery subject matter experts to build prospect credibility without overcommitting delivery capacity.
  • Prepare and present proposals, RFP responses, and executive-level business case materials.
  • Document client interactions, capture competitive intelligence, and share win/loss insights to improve go-to-market execution.
  • Travel as required to attend client meetings, partner events, industry conferences, and the annual sales kickoff.

Desired Qualifications

  • Experience selling within one or more of Pythian's core technology ecosystems, including Google Cloud technologies such as BigQuery, Vertex AI, and Gemini; Oracle database or infrastructure; AWS; Microsoft Azure; Snowflake; Databricks; or SAP.
  • Familiarity with the modern data stack and cloud data platforms across multiple hyperscalers.
  • Comfort positioning Agentic AI, GenAI/RAG, MLOps, and AI automation solutions to enterprise decision-makers.
  • Experience with Database Managed Services or Infrastructure Managed Services sales cycles and pricing models.
  • Background selling into companies with $300 million to $1 billion in revenue in manufacturing, retail, logistics, finance, or healthcare.
  • Relevant cloud, database, or AI certifications.
  • Relevant Bachelor's degree or equivalent combination of experience and education.

About the Company

Pythian

Cloud migration and managed analytics services

Pythian helps organizations move, manage, and analyze data and IT infrastructure. It provides cloud migration, managed services, and advanced analytics to help businesses use cloud platforms such as Google Cloud, AWS, and Azure. Its solutions include moving data and applications to the cloud, running and monitoring those systems, and turning data into insights through machine learning, artificial intelligence, and data science. Pythian differentiates itself by offering a fully managed analytics platform that unifies a company’s data across sources and by combining expert consulting with ongoing operations to ensure data systems run smoothly. The company’s goal is to enable enterprises to improve decision-making, reduce IT friction, and drive growth by leveraging cloud technology and data analytics.

Company size
501-1,000
Company stage
Early VC
Total funding
$21M
Headquarters
Ottawa, Canada
Founded
1997

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