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We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap - not just execute against a backlog.

What you will do
1. Research Direction

Set the technical research agenda for our tabular prediction models.
Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data.
Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy.
Set standards for experimentation, evaluation, and model guardrails.
2. Client Project Delivery

Own DS delivery end-to-end across concurrent client engagements - from discovery through modeling, validation, and go-live.
Partner with Solutions and Implementation on discovery and rollout; represent Data Science in client meetings, presenting results directly to stakeholders.
Ensure delivery lands inside the product, on timeline, coordinating with Engineering on productionization.
Track delivery risk across the client portfolio, flagging blockers and scope changes early.
3. GenAI Tooling & Team Capability

Build the team's onboarding and delivery playbook for new use-cases and encode it as reusable Claude skills/agents
Turn repeatable steps in the DS workflow into standardized, shared tooling.
Raise the team's GenAI fluency through mentoring on Claude Code and related tooling.

We are looking for a Product Manager with a builder mindset to own end-to-end execution of product initiatives, from ideation through solution design, development, launch, and continuous improvement.

You will use modern AI tools as a core part of how you work to build and ship high-quality products faster. You will collaborate closely with Engineering, Design, AI, and cross-functional stakeholders to rapidly transform ideas into scalable products and capabilities. Whether building customer-facing experiences or internal product capabilities, you will focus on delivering solutions that create measurable value for our customers and the business.

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Responsibilities
Lead the execution of product initiatives from ideation through launch and continuous improvement.
Use modern AI tools to rapidly explore ideas, build interactive prototypes, validate concepts, and accelerate execution.
Write clear and comprehensive PRDs and supporting product documentation for both humans and AI agents.
Work closely with Engineering throughout development to clarify requirements, make product decisions, resolve trade-offs, and ensure successful delivery.
Monitor product adoption, performance, and customer feedback after launch, and continuously improve the product.
Prioritize work based on customer value, business priorities, and technical considerations.
Coordinate effectively across Product, Engineering, Design, Implementation, Customer Success, and Sales to ensure successful product delivery.
Contribute to reusable product patterns, documentation, and best practices that improve future product development.