ClickHouse

1 month ago

Commercial Account Executive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Technical, engineering-led sales role owning the full cycle for inbound, product-led accounts under 250 employees. Engage with data engineers and platform architects to map use cases to ClickHouse capabilities, act as a technical advisor, and collaborate with Solutions Engineers to close strategic, high-impact deals.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Own the full sales cycle from inbound lead to close for accounts under 250 employees, focusing on speed, technical depth, and conversion quality.
•Engage directly with data engineers, platform architects, and technical founders to understand use cases, data volumes, query patterns, and infrastructure requirements, mapping them to ClickHouse capabilities.
•Troubleshoot schema design questions, ingestion patterns, and integration challenges during evaluation; act as a trusted technical advisor rather than a traditional sales rep.
•Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
•Partner with Solutions Engineers on complex evaluations and advocate for customer needs internally with Product and Engineering.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffRemote-friendlyGlobal Gatherings

Key Requirements

•Technical foundation from data engineering, solutions engineering, software engineering, or similar roles.
•Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, SQL-heavy analytics. Experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a plus.
•Some customer-facing experience (pre-sales, technical account management, solutions engineering, or customer-success capacity).
•Ability to move quickly, drive urgency, and remove technical blockers that stall deals.
•Strong written and verbal communication; ability to simplify complex concepts for engineers.

Experience:Data engineeringSolutions engineeringSoftware engineeringCloudAnalytics

Skills:CommunicationProblem-solvingTeamworkPresentationCustomer-facing

Languages:English

Tech Stack:ClickHouseDuckDBDruidPinotBigQuerySnowflakeKafkaKinesisSQLCloud

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

1 month ago

Commercial Account Executive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Own the full sales cycle from inbound lead to close for accounts under 250 employees, focusing on speed, technical depth, and conversion quality.
•Engage directly with data engineers, platform architects, and technical founders to understand use cases, data volumes, query patterns, and infrastructure requirements, mapping them to ClickHouse capabilities.
•Troubleshoot schema design questions, ingestion patterns, and integration challenges during evaluation; act as a trusted technical advisor rather than a traditional sales rep.
•Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
•Partner with Solutions Engineers on complex evaluations and advocate for customer needs internally with Product and Engineering.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffRemote-friendlyGlobal Gatherings

Key Requirements

•Technical foundation from data engineering, solutions engineering, software engineering, or similar roles.
•Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, SQL-heavy analytics. Experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a plus.
•Some customer-facing experience (pre-sales, technical account management, solutions engineering, or customer-success capacity).
•Ability to move quickly, drive urgency, and remove technical blockers that stall deals.
•Strong written and verbal communication; ability to simplify complex concepts for engineers.

Experience:Data engineeringSolutions engineeringSoftware engineeringCloudAnalytics

Skills:CommunicationProblem-solvingTeamworkPresentationCustomer-facing

Languages:English

Tech Stack:ClickHouseDuckDBDruidPinotBigQuerySnowflakeKafkaKinesisSQLCloud

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn