Candidates should have a strong background in full-stack development, with proficiency in both front-end and back-end technologies. Experience in crafting responsive web applications and familiarity with cloud services are essential. Strong problem-solving skills and the ability to collaborate effectively with cross-functional teams are also required.
Candidates should have a degree in Electrical Engineering or a related field and experience in subsystem design and prototyping. Proficiency in schematic capture and hardware debugging is required, along with skills in component selection and hardware bug tracking.
Candidates should have a strong understanding of commodity sourcing in the electronics manufacturing industry and possess excellent communication and negotiation skills. Experience in sourcing electronics commodities such as ICs, PCBAs, EMS/Contract manufacturing, and system sub-assemblies is essential.
Candidates should have a strong background in computer vision and machine learning, with experience in designing and building algorithms. Proficiency in coding and developing neural network architectures is essential, along with the ability to work with large datasets and machine learning infrastructure. Experience in deploying algorithms on edge devices with limited compute resources is also required.
Candidates should possess 3-5 years of experience in SaaS sales or other relevant closing experience, along with a tangible track record of success across all sales roles. They should demonstrate a gritty, growth-oriented, coachable, process-oriented approach, exhibiting passion for sales and a commitment to excellence, and a drive to win that inspires others.
Candidates should possess a Bachelor's degree in Computer Science or a related field, along with a strong understanding of embedded systems and Linux operating systems. Experience with C/C++ programming is essential, and familiarity with Rust is preferred. A solid understanding of kernel development and driver programming is also required.
Candidates should have 4+ years of SaaS sales experience, with at least 2 years as an Account Executive, demonstrating consistent over-performance against targets, and at least 1+ years of direct sales experience within a data tools company such as ETL, Reverse ETL, Data Observability, Data Catalog, or BI, showcasing a strong understanding of the data ecosystem and customer pain points. They must also possess strong outbound prospecting skills, a proven ability to independently generate pipeline…
Candidates should possess intermediate or advanced knowledge of SQL, familiarity with BI tools such as Mode, Tableau, or Looker, and experience with cloud data platforms like Snowflake, Redshift, BigQuery, or S3. Furthermore, they should be familiar with customer support and product management systems like Zendesk, Jira, and Productboard, and demonstrate strategic problem-solving skills to navigate ambiguity.