AI Deployment Lead

About the role:

Rippling is standing up a new business line: Rippling AI Solutions. This covers everything from (1) custom applications and AI point solutions sold through Sales (“Build”) to (2) a full turnkey AI consulting and implementation service (“Transform”). We cover the full spectrum, with a focus on G&A and other non R&D orgs.

We will help customers identify, design, build, and ship production AI workflows, while also supporting adoption and change management within the org to tie automations to ROI. We will be an AI thought partner to our customers - though Rippling will be a central part of all solutions we implement, we are model agnostic and insert other 3P AI tools around Rippling as needed.

The ultimate vision is to scale AI Solutions into a large product line that is central to Rippling’s AI strategy of delivering value to its customers and being their “go to” for their AI needs.

This is a founding role on the AI Solutions team. We are hiring our first AI Deployment Lead to own customer engagements end to end, from discovery through measurable impact. This role combines (1) an AI Transformation Lead, who identifies high-value opportunities, shapes them into a transformation roadmap, owns the client relationship, and drives adoption; and (2) a Forward Deployed Product Manager, who translates customer workflows into product requirements and ships solutions in partnership with our team of Forward Deployed Engineers (FDEs). You will report to the General Manager of AI Solutions and work closely with FDE, Product, and Sales.

What you will do:

1. Own the customer relationship
Serve as the customer’s day-to-day lead from kickoff through value realization, working with executive sponsors, operators, and end users.
Align the GM, Sales, FDEs, and the customer on scope, success criteria, and the path to launch.
Run the operating cadence for each engagement, including status updates, steering committees, risks, decisions, and executive readouts.

2. Run the AI diagnostic and create the AI transformation roadmap
Diagnose customer workflows and identify the highest-value opportunities for AI-driven operating leverage.
Create a sequenced, quantified and prioritized AI Transformation Roadmap with baselines, target KPIs, and clear success measures.
Bring a practical point of view on where Rippling, third-party AI tools, and custom workflows can create the most value.

3. Define and ship AI workflows with FDEs
In partnership with FDE, translate customer workflows into MVP definitions, requirements, acceptance criteria, and evaluation criteria.
Product manage the implementation with FDE, from scoping through testing, launch, and iteration.
Pressure-test solution design with FDE across architecture, integrations, data access, permissions, and edge cases.

4. Drive adoption, ROI, and repeatability
Lead training, workflow redesign, and change management so shipped workflows are adopted and trusted.
Measure realized value against the baseline and turn results into case studies, references, and expansion opportunities.
Codify repeatable patterns into playbooks, templates, ROI models, and product feedback.

5. Build the AI Solutions motion with the GM
Help refine the nascent AI Solutions playbook across discovery, scoping, delivery, adoption, ROI measurement, and expansion.
As a founding member of the team, help turn early engagements into a repeatable motion that can scale across customers and future AI Deployment Leads.
Partner with the GM and FDE leadership on engagement health, staffing needs, delivery capacity, and how the motion should evolve as it scales.

What you will have :
You have 5 to 10 years of experience as a commercially minded product manager, technically minded consultant, deployment lead, solutions lead, implementation lead, or similar operator in a high-growth environment.
You have led complex, cross-functional programs from ambiguous problem framing through production launch, ado