Full-Time
AI Product Engineering Lead
Updated on 4/26/2024
Collaborative analytics and visualization platform
Data & Analytics
Senior
San Francisco, CA, USA
Required Skills
Data Analysis
Requirements
- At least 8+ years of engineering experience, with at least 4+ in a management capacity
- Strong focus on execution, with a track record of shipping complex, full-stack projects with multiple stakeholders within the context of a top-tier EPD organization
- Technical chops and desire to go deep with LLM and related technology
- Strong product intuitions, particularly about users, workflows and prioritization
- Background working with research projects and understanding how to evaluate and measure their success
- Must be hands-on, e.g. reading RFCs or giving feedback on the designs, joining customer calls, and using the product frequently
- Clear, proactive communication, particularly with less technical stakeholders
- Inspiring and compassionate people management to lead the team to great achievements while helping them navigate the stress of working with cutting-edge technology in a rapidly changing environment
- Talent magnet: experience hiring incredible individuals with the connections in the industry to attract & sell that talent on Hex
- Familiarity with modern data technologies and the trends within the industry
Responsibilities
- Leading the team to deliver an industry-leading AI-assisted experience for data analytics workflows
- Developing and executing on a technical strategy for optimizing current technology in partnership with SMEs (e.g. using multiple models or deploying to different architectures) and for quickly incorporating new advancements as they arise
- Cultivating a high-output, high-vision team culture on one of the most important teams at the company
- Engaging with the AI community to maintain and extend Hex’s thought leadership and marketing presence
- Working with EPD leadership to develop future phases of AI product strategy within Hex
Hex provides a collaborative analytics workspace with polyglot notebooks, AI assistance, interactive visualizations, governed metrics, and modern version control. The platform integrates with popular data warehouses, databases, and orchestration tools, and prioritizes enterprise-grade security and control.
Company Stage
Series B
Total Funding
$101.5M
Headquarters
San Francisco, California
Founded
2019
Growth & Insights
Headcount
6 month growth
↑ 22%1 year growth
↑ 45%2 year growth
↑ 134%Benefits
Competitive salary & equity
Health, vision, & dental
Flexible PTO
Parental leave
401k matching up to 4%
Workstation + learning & development stipends