Shelf
Head of Automation
New York, New York · Exec
No sponsorshipDetected 7 days ago
PythonNode.jsSnowflakeDatabricksRESTData EngineeringLLMsAgentic AISalesforceCustomer SuccessLeadershipCommunicationCollaboration
About the role
- (No H1B or OPT Visa Sponsorship will be provided).
- About Shelf: There is no AI Strategy without a Data Strategy.
- Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production.
Responsibilities
- Develop and execute company-wide automation strategy leveraging Shelf AI Platform's ontological graph structure
- Partner with department leaders to identify high-impact automation opportunities and establish automation roadmaps
- Build and scale several specialized automation teams within 12 months, starting immediately
- Recruit and manage teams including Data & Integration Engineers, Automation Engineers, Business Analysts, and Data Modelers/Ontology Designers
- Lead hands-on development of automation solutions and AI agents across all organizational processes
- Integrate and optimize existing automation tools (such as Lindy, n8n, Typingmind, custom builds) with Shelf AI Platform
- Collaborate with Product and Engineering teams to enhance Shelf AI Platform capabilities
- Work closely with GTM, Finance, Operations, Customer Success, Engineering, and Product teams to drive automation adoption
- Lead automation assessment and integration projects across different platforms and departments
- Team Building & Management
Requirements
- Startup Experience preferably in Series A to C companies, understanding the pace and flexibility required
- Cross-Functional Collaboration with ability to work effectively with all departments to identify and prioritize automation opportunities
- 8+ years of overall experience including 2+ years in automation and 3+ years in leadership roles
- Experience with data engineering, ontology design, and enterprise data platforms (Databricks, Snowflake)
- Experience with automation platforms and integration tools (RPA, workflow automation, API integrations)
- Excellent communication skills with ability to present technical concepts to executive audiences
- Strong technical background in Node.js, Python, AI/LLM technologies, and agentic frameworks
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
- Build and scale several automation teams with full team composition including 20+ team members total
- Deliver measurable automation adoption with high reliability and accuracy across all departments
- Achieve significant automation coverage percentage per department with focus on high-impact processes
- Successfully integrate existing automation tools with Shelf AI Platform while maintaining operational continuity
- Establish automation as a strategic competitive advantage driving measurable business outcomes
Nice to have
- Proven track record of scaling technical teams and automation capabilities in startup environments (Series B/C preferred)
- Bachelor's degree in Computer Science, Engineering, or related field
- advanced degree preferred
Compensation
- Competitive salary, equity, & benefits
Benefits
- Competitive salary, equity, & benefits
- Comprehensive health and wellness packages
- Strategic Leadership & Vision
Company info
- Quality - We're united by our focus on world‑class Quality.
- Quality in all things - starting with everything that leaves your desk.
- Everything you touch - every email, report, campaign, and piece of code - should be outstanding.
- Your work product should blow people away.
- Having people look at what you've done and say, "Wow." That's the standard here.
- Remember that how you do anything is how you do everything.
- Focus on craftsmanship-your ability to make things better.
- Momentum - for us means that you should know that the things you're responsible for are moving forward.
- When you look around and see something that's stalled, get it moving again.
- We pride ourselves on "ball movement." When your boss or team leaves you with something, they should return to see measurable progress.
- Small, continuous movement is our recipe for success.
- Constantly look for how to make the work around you move forward.
- GenAI is expected to be a $4 trillion market by 2032, and Shelf is a core infrastructure that enables GenAI to be deployed at scale.
- Our Leadership Team possesses deep knowledge management and AI domain expertise, as well as an enterprise SaaS background, to execute this plan effectively.
- We've been helping our customers prevent knowledge mismanagement since our founding in 2017.
- We have raised over $60 million in funding, with investors including Tiger Global, Insight Partners, Base10, and others.
- We have experienced high velocity growth, powered by the most innovative product in our category, achieving 3X growth for 3 consecutive years.
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months.
- We want you to initiate solutions, ideas, and progress.
- Don't wait for it to come to you-reach out and create movement.
- All the time.
- Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect.
- Each of us should feel real responsibility for things even at the edge of our control.
- We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
- Hard Work - We're here to do something difficult together.
- We care intensely about the mission and we expect that from our teammates.
- That care means that we work hard here.
- Hard work comes with long hours, extra effort…and real opportunity at Shelf.
- Your passion for creating and sustaining output is a part of our DNA.
- Support each other, cheer each other on, drive the mission forward.
Visa & Work Authorization
- (No H1B or OPT Visa Sponsorship will be provided).
This listing is sourced directly from Shelf's careers page and normalized into a canonical job model.