Pre Sales Systems Engineer

• Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle
• SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process
• SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycle

Benefits

• Equity Compensation; our success is your success with eligible participation in our company equity plan
• Health & Well-being; we’ll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits
• Financial Future; we’ll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan
• Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays
• Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ
• Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
• Equipment; we’ll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup
• Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition

• 2-3 years of experience in pre-sales engineering role
• 3-5 years of progressive experience implementing information technology solutions
• Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc
• Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies
• Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop
• Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns
• Strong communication skills in explaining technical architecture
• Solutions-focused approach that requires in-depth needs analysis (discovery)
• Willingness to travel to customers as needed
• Desire to work in fast-paced startup environment where change is constant
• End to end knowledge architecting cloud infrastructure
• Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg
• Experience contributing to open source technologies