Deployment Strategist

Mercor•San Francisco, CA

11d•$140,000 - $210,000•Onsite

About The Position

As a Deployment Strategist, you'll sit at the intersection of Product, Engineering, Operations, GTM, and our customers - the world's leading AI labs. You'll help grow Mercor's most strategic accounts by scoping complex AI data projects during the sales process, developing the technical strategy behind account growth plans, and ensuring every committed project is set up to deliver. As part of our Applied AI team, you'll own technical scoping upstream of commitment - turning ambiguous customer requests into sized, deliverable projects and serving as the voice of the customer inside the Product organization. You'll also own the roadmap for customer integrations and the processes that make delivery measurably more reliable with every cycle. This is a highly technical, customer-facing role in the Product Operations job family for someone who enjoys solving ambiguous problems, working directly with strategic customers, and building systems that scale.

Requirements

2+ years in Product Management, Technical Program Management, Solutions Engineering, Forward Deployed Engineering, Implementation Consulting, or a similar technical, customer-facing role.
Familiar with coding agents. Comfortable using SQL/Python without agent assistance as well. Can break down large engineering problems into well-scoped roadmaps. Able to hold your own in technical conversations with AI researchers and engineers.
Thrive in ambiguous environments and take ownership from problem definition through execution. Customer-focused with excellent written and verbal communication.
Comfortable weighing revenue upside against delivery cost, and spotting the account opportunities others miss.
Strong project management and cross-functional communication skills. Passion for fixing problems at the source and building repeatable systems rather than one-off solutions.

Responsibilities

Scope Customer Solutions: Partner with GTM and customers during the pre-sales process to scope complex AI data projects. Define technical requirements, break down and size the engineering effort, identify the ROI for each project.
Drive Account Growth: Work directly with AI researchers at leading labs and internal GTM leads to formulate and execute account growth plans. Leverage Mercor's evaluation infrastructure and data inventory to generate new demand, and track the competitive landscape to position Mercor to win.
Lead Customer Implementations: Assemble the right solution for every committed project - composing the teams, resources, and bandwidth it will take to deliver - and coordinate across Product, Engineering, GTM, and customer stakeholders to ensure successful launches.
Own Customer Integrations: Set the roadmap for integrations with customer platforms and data systems, expanding the integration surfaces that unblock new revenue and driving toward seamless, reliable delivery regardless of customer infrastructure.
Make Delivery Reliable: Lead delivery incident response and root-cause analysis, triage technical blockers to the right owners, and track corrective actions to resolution so the same issue never recurs.
Shape The Product: Identify recurring customer needs and translate them into product requirements. Own the roadmap for customer integrations and partner with Engineering to expand platform capabilities.