Keebo

Keebo is a technology-focused company that is currently hiring for various positions, including Senior Software Engineers, a Product Manager, an Executive Assistant to the CEO, and a Senior Customer Success Engineer.

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👥 1001-5000💰 $48.8m Post-IPO Debt on 2024-09-13Messaging SaaS Telecommunications Mobile Software

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🔥 Account Executive

Posted 2024-10-23

📍 US, EU, Canada

🧭 Full-Time

🔍 Data analytics and cloud solutions

The ability, experience, and hunger to hunt for new opportunities.
Experience engaging with new prospects and key stakeholders (CTOs, CIOs, CFOs, VPs).
Experience navigating complex customer organizations and building deep relationships with decision-makers.
Understanding and ability to present compelling proposals that illustrate the business value of Keebo’s solutions.
Attention to detail.
Maintain a robust pipeline and manage all sales activities using CRM tools.
4+ years of experience in enterprise sales, ideally selling technical products or SaaS solutions to senior executives.
Proven track record of closing complex deals.
Exceptional ability to understand client needs, negotiate terms, and effectively present value propositions.
Familiarity with CRM software and sales automation tools.
Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels.
Willingness to travel as required to meet with clients and prospects.

Build strong, long-term relationships with clients by understanding their goals, technical challenges, and data strategies.
Engage with decision-makers early and proactively, managing a strategy to win high-value opportunities.
Articulate how Keebo can solve customer pain points, demonstrating ROI and aligning with their business priorities.
Collaborate with cross-functional teams, including product and engineering, to ensure seamless client engagements.
Stay current with data engineering, analytics, and AI trends to tailor pitches and consult clients effectively.

SnowflakeStrategyData engineering

Posted 2024-10-23

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🔥 Senior Software Engineer KWT

Posted 2024-10-13

📍 US, EU, Canada

🧭 Full-Time

🔍 Data Learning, Cloud-based Data Analytics

A PhD in database systems or a track record of working on products focusing on database internals and/or query optimization.
Experience building scalable, reliable products and features, and desire to work in a fast-paced, startup-like environment.
Track record of rapidly prototyping ideas and building MVPs for customer feedback.
Experience using algorithm development for performance enhancing projects.
Strong desire to partner with product to turn customer requirements into well-specified, technical work.
Passion for mentoring engineers in database optimization knowledge and rapid delivery.
Writes clean, high quality, well-documented, readable code, with good test coverage.
Extensive familiarity with ETL pipelines, SQL, databases, data warehouses, and big data processing tools.
Experience with object-oriented programming best practices.
Skilled at communicating effectively in a distributed environment with people across multiple time zones.
Ability to work in US Eastern time or Central European time.
Extreme sense of ownership, from requirements gathering with product and customers all the way to running and monitoring production deployments and service reliability and scalability.

Partner with product and work directly with customers to deeply understand customer needs with regards to query performance tuning and query cost optimization.
Perform data-driven research to identify innovative solutions to solve customer pain points.
Create tightly-scoped greenfield products and features, designed for fast iteration based on customer feedback.
Build algorithms to automatically optimize queries for cost and performance.

SQLArtificial IntelligenceETLMachine LearningSnowflakeAlgorithms

Posted 2024-10-13

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🔥 Senior Software Engineer (KWO)

Posted 2024-09-27

📍 US, EU, Canada

🧭 Full-Time

🔍 Data Learning platform, cloud-based analytics

Proven experience in backend development with a passion for building robust, high-performance systems.
Startup experience is required.
Ability to troubleshoot and solve challenging problems, even in unfamiliar territory.
Strong architectural design skills, with a focus on creating scalable and resilient systems.
Skilled in partnering with product teams to deeply understand customer needs and translate them into features that delight users.
Experience leading complex technical projects involving multiple engineers, driving them from concept to successful delivery.
A collaborative mindset—you're proactive in sharing knowledge and raising the technical bar for the whole team.
Proficiency with databases with a deep understanding of SQL and large datasets.
Familiarity with cloud platforms, modern CI/CD pipelines, and big data tools.

As a Senior Software Engineer at Keebo, you will be instrumental in designing and developing scalable systems for our Warehouse Optimization team.
From day one, you’ll drive critical, customer-driven solutions that directly impact our business and shape the technical landscape of Keebo.
You’ll collaborate with cross-functional teams to create innovative features that meet real business needs.
In this role, you will have the opportunity to mentor engineers, promote best practices, and continuously refine processes that drive system performance and resilience.

Backend DevelopmentPythonSQLArtificial IntelligenceGCPJavaKubernetesPostgresCI/CD

Posted 2024-09-27

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🔥 Senior Customer Success Engineer

Posted 2024-09-22

🧭 Full-Time

🔍 Data Analytics

BS or MS or MCA in Computer Science or related fields.
Proficiency in SQL.
Fluency in writing Python code.
Comfort with Unix and Bash.
Excellent communication skills.
Willingness to work on a US Eastern Time Zone schedule.

Tune algorithmic parameters to maximize performance.
Create SQL queries and data extracts from metadata tables in Snowflake, BigQuery, and Postgres.
Analyze warehouse performance metrics including latency and alert customers.
Identify opportunities for improving the customer experience.
Build tools to orchestrate and automate data-driven customer success.
Work with leadership to deliver insights and report progress.

Posted 2024-09-22

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🔥 Database Research Engineer

Posted 2024-09-07

📍 Georgia, EU, S America, US

🧭 Full-Time

🔍 Data analytics and cloud solutions

Significant experience in improving analytical databases or a PhD in Database systems.
Extensive experience with database performance tuning techniques.
Passion for researching database performance parameters and conducting experiments.
Familiarity with data analysis and visualization tools.
Experience in rapidly prototyping ideas and building MVPs.
Strong documentation and coding skills, writing clean and tested code.
Extensive knowledge of SQL, databases, and big data processing tools.
Familiarity with cloud technologies and modern CI/CD tools.

Partner with product teams to understand customer data warehouse needs.
Research parameters affecting database performance and propose improvements.
Create rapid proofs of concept for algorithms enhancing performance and cost.
Mentor engineers in database performance and rapid prototyping.

SQLArtificial IntelligenceData AnalysisMachine LearningSnowflakeAlgorithmsData analysisData engineeringCI/CD

Posted 2024-09-07

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🔥 Product Manager

Posted 2024-08-08

📍 North/South America, Europe

🧭 Full-Time

💸 Competitive salary packages

🔍 Data Learning and Analytics

3+ years of experience in technical product management, preferably with a B2B SaaS product.
Bachelor's degree or equivalent experience in a technical field such as Engineering, Computer Science, or Information Systems.
Knowledge of database and data warehousing technologies.
Experience with data visualization tools, SQL, and familiarity with data engineering concepts.
Experience with cloud-based data warehouse platforms like Snowflake, Databricks, BigQuery, or Redshift.
Strong leadership skills and excellent communication skills.
Self-driven with strong analytical skills.
Experience in building analytical products with user-friendly interfaces.
Experience with product management methodologies like Agile or Scrum.
Flexibility to coordinate across different time zones.

Shape the vision, define the roadmap, and drive execution of new product capabilities.
Prioritize product features and technical debt based on various criteria.
Develop product requirements documents and manage product backlogs.
Collaborate with engineering teams to build world-class products.
Monitor and report on key product metrics.
Conduct market research and competitive analysis.
Work with customers to identify pain points and solutions.
Coordinate with marketing, sales, and customer success teams.

Project ManagementSQLProduct ManagementData engineeringCommunication SkillsAnalytical Skills

Posted 2024-08-08

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Keebo

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