Director of AI/ML (Grata)
- Source: Workday
- Datasite
- $200,400 to $360,500 /yr
- On-site
- New York City
- Full-Time
- Senior
Job Description
- Grata is the leading private market dealmaking platform
- We make it easy to find, research, and engage with private companies while powering end‑to‑end M&A business development workflows
- Our platform delivers the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners
- We are looking for a Director of AI/ML to lead the AI/ML team building the intelligence behind Grata’s next generation of dealmaking workflows
- This role owns the models and evaluation frameworks that power how customers discover opportunities, research companies, and act faster
- You will lead Grata’s AI/ML team end‑to‑end: setting the multi‑quarter AI strategy, owning execution and quality of production AI systems, and growing the engineers and applied scientists on the team, while partnering with senior leaders across Engineering, Product, Data, and Platform to deliver AI capabilities that move the business
- As Director of AI/ML, you will be accountable for AI strategy, team health, and the quality of AI systems in production. You will partner with senior leaders in Engineering, Product, Data, Platform, and Design
- Set and own a multi‑quarter vision for Grata’s AI/ML stack, including agentic workflows, retrieval and RAG systems, model selection and fine‑tuning, and evaluation; and translate it into a prioritized, funded roadmap
- Set the product direction for AI-powered functionality, partnering with Product and senior leadership to define what AI experiences Grata builds, why they matter to customers, and how they differentiate the platform
- Lead the AI/ML team directly, including hiring, leveling, performance management, coaching, and career development for the engineers and applied scientists on the team
- Own the outcomes of the team’s efforts: successful AI feature launches, measurable customer impact, and shared commercial wins
- Own the quality of AI systems in production, including accuracy, reliability, latency, cost, and safety; and the evaluation and monitoring frameworks that keep them honest
- Make principled build‑vs‑buy decisions on models, vendors, and tooling, and partner with Finance and engineering leadership on AI spend and capacity planning
- Drive cross‑functional initiatives that span AI, Product, Data, and Platform, including major architectural shifts as the model and tooling landscape evolves
- Balance near‑term delivery with long‑term technical health, making explicit trade‑offs on prototype velocity, productionization, and technical debt
- Represent AI/ML in company‑level planning and communicate strategy clearly to technical and non‑technical audiences, up to and including the executive team
- Establish and evolve healthy team practices across research, productionization, evaluation, and operational excellence; and foster a culture of high ownership, psychological safety, and sustainable pace
- This role is primarily focused on team leadership and AI strategy, with hands‑on technical engagement as needed to guide architecture, evaluate models, unblock the team, and support high‑impact initiatives
Benefits
- Culture and benefits built around work-life balance
- Extensive resources to support physical and mental health
- Employee assistance program
- Generous retirement plans
- Incentives for referring new colleagues
- Learning, training and mentoring programs
- Cross-functional projects
- Stretch assignments to help you progress
- Receive feedback and earn bonuses from peers & managers
- Employee bonding activities
- ESG and charitable team initiatives- Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish
- Building the intelligence that powers Grata’s M&A business development platform and the agentic workflows on top of it
- Investing in the AI development lifecycle, including experimentation tooling, evaluation harnesses, and feedback loops that compound over time
- Partnering with Product, Data, and Platform leadership to align AI investments with where the business is heading next
- Designing and operating retrieval, ranking, and reasoning systems that help customers find the right private companies, investors, and opportunities
- Developing agents and tool‑use systems that automate workflows for dealmakers, with the evaluation frameworks needed to ship them reliably
- Generating propr…
Skills
- grata
- Airflow
- apache-airflow
- dbt
- amazon-web-services
- google-cloud-platform
- microsoft-azure
- Kubernetes
- amazon-eks
- azure-databricks
- databricks
- Spark
- Kafka
- pulsar
- workday
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
