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Enterprise Account Executive

💰 $150k-$175k

Job Description

Striim, (pronounced “stream” with two i’s for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity.

We are seeking a high-performing Enterprise Account Executive with 10+ years of proven success selling data transformation solutions to large enterprise organizations. This is a non-negotiable requirement and the most critical qualification for this role.

The ideal candidate brings deep expertise in positioning and closing solutions related to cloud adoption and migration, data modernization, continuous analytics/observability, and AI enablement/Real-Time AI. The Enterprise Account Executive understands how to identify the right enterprise buyers, clearly articulate why these solutions are essential in today’s market, and demonstrate how these solutions drive meaningful improvements in productivity and business outcomes.

This role will be responsible for driving revenue through a combination of partner-led and direct sales motions in a fast-paced, high-growth environment.

This is a remote position; however, candidates must be located within close proximity to Palo Alto, CA (short flight distance, ideally within the Pacific Time Zone or nearby regions such as Salt Lake City) and able to travel to headquarters on short notice.

Responsibilities

  • Own and drive complex enterprise sales cycles focused on data transformation solutions, including cloud migration, data modernization, real-time analytics, observability, and AI enablement.
  • Identify and engage the right enterprise stakeholders (e.g., CIO, CTO, CDO, data/platform leaders) and lead value-based, consultative sales conversations.
  • Clearly communicate the urgency and business impact of modern data infrastructure, linking solutions to productivity, efficiency, and competitive advantage.
  • Drive revenue through a strong partner ecosystem, including cloud providers (Microsoft, Google, AWS) and data/platform partners (e.g., Snowflake, Databricks, MongoDB).
  • Build, develop, and maintain effective co-sell relationships with partner sales teams; manage and advance partner-sourced opportunities with consistent communication and alignment.
  • Generate and progress pipeline through direct outbound efforts, owning full-cycle sales from prospecting to close.
  • Collaborate cross-functionally with Partner/Alliances, Sales, and Field Engineering teams to execute coordinated go-to-market strategies.
  • Maintain high standards of CRM hygiene, pipeline management, forecasting accuracy, and KPI tracking.
  • Leverage AI tools and modern sales technologies to drive efficiency and pipeline generation in a lean, fast-moving environment

Requirements

  • 10+ years of enterprise sales experience selling data transformation solutions to large organizations.
  • Proven success selling technologies such as data integration, replication, streaming, cloud data migration, data modernization platforms, real-time analytics/observability, and AI/ML enablement solutions.
  • Demonstrated ability to navigate complex, multi-stakeholder enterprise sales cycles and consistently meet or exceed revenue targets.
  • Strong understanding of modern data architectures and the ability to clearly articulate why these solutions are critical in today’s business landscape.
  • Experience identifying ideal customer profiles and tailoring messaging to both technical and executive audiences.
  • Track record of success in fast-paced startup or scale-up environments, with a high degree of autonomy and accountability.
  • Exceptional organizational skills, including disciplined CRM (Salesforce) usage and data-driven pipeline management.
  • Leverage AI tools and modern sales technologies to drive efficiency and pipeline generation.
  • Bring a forward-thinking approach to selling in the absence of a traditional marketing engine.
  • Must be able to work flexible hours across multiple time zones.
  • Must be able to travel up to 50%.

Preferred Requirements

  • Proven success selling into Telecommunications, Media, and/or Technology (TMT) industries.
  • Proven experience building and executing partner/co-sell motions with hyperscalers (Microsoft, Google, AWS) and/or data ecosystem partners.
  • Existing relationships within cloud or data partner ecosystems.
  • Experience working with system integrators or channel partners.
  • Professional proficiency or fluency in Spanish

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$150,000 - $175,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.

Our company culture fosters entrepreneurship and nurtures our team members to grow with the company. Come join a Silicon Valley startup focused on delivering a product that’s loved by its customers and primed to be a core part of the cloud data stack.

We are an equal opportunity employer, and we value diversity at our company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.

For more information on Striim’s Privacy Policy, click here.

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