Overview
On Site
Full Time
Skills
Startups
Salesforce.com
Recruiting
Data
Workflow
Research
Google Tag Manager (GTM)
Use cases
Software engineering
Pick
Switches
Leadership
Communication
Artificial intelligence
Job Details
Job Description
Job Description
We're assisting a well-funded Series B startup with their search for Full Stack Engineers. They're building fully autonomous digital workers that automate specific jobs end-to-end. The role will be onsite in their SF office, and they're hiring multiple engineers in this capacity.
What you'll do:
- Scale the range of workflows, data pipelines and integrations that are the core of our digital workers
- Build new workflows and contribute to the maintenance of existing feature-rich workflows
Be the connective tissue between Applied Research, GTM, Product, and Engineering, especially when it comes to frontier model techniques for customer use cases
Highlight new and creative ways our architecture and Digital Worker playbook can be established in new domains
What you'll bring:
4+ years of experience in software engineering, across the stack.
- Experience proactively identifying opportunities for maximizing customers business value, and building those opportunities into production.
- Experience owning problems end-to-end, and willing to pick up whatever knowledge is missing to get the job done to ensure both the team and its customers succeed.
- A desire to work directly with technical and non-technical customers, be a good listener and interpreter of their needs, and not be afraid to inquire deeper.
- Ability to operate with high urgency, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
- Experience working in dynamic environments and navigating ambiguity.
- Experience leading complex technical projects and programs, potentially with many stakeholders involved.
- Effective and polished communication skills.
- Passion for LLMs and widening the reach of practical AI technologies.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.