Sr. Deployment Strategist, FDE - Financial Services
About this role
Managing complex customer engagements requires partnering closely with sales teams to perform deep technical discovery and map organizational landscapes for high-value artificial intelligence opportunities. Operating as part of a founding Forward Deployed Engineering initiative sponsored by executive leadership, the individual acts as a product manager for the field by defining Minimum Viable Products, authoring product requirement documents, and driving agile software delivery alongside engineering partners. Success in this role demands translating ambiguous multi-million-dollar business problems into structured technical requirements for data, integration, security, and operational readiness.
The position exists to bridge the gap between high-profile customer challenges and technical delivery from initial discovery through production launch and full adoption. Candidates who thrive in this environment combine executive presence with deep product thinking, technical fluency, and a hands-on delivery mindset to navigate both organizational and technical roadblocks. The role requires an individual who enjoys working onsite with customers between 25 and 50 percent of the time to ensure solutions move successfully from prototype to production.
What you will do
- Partner with sales teams to perform deep technical discovery, map customer organizations, and quantify business value for major opportunities.
- Author product requirement documents, prioritize engineering backlogs, manage scope, and act as the primary hands-on quality assurance tester.
- Drive build teams through an agile delivery process while managing stakeholders from the C-suite to individual engineers.
- Lead technical discovery and design reviews to evaluate customer data flows, integrations, platform constraints, and operational environments.
- Manage war rooms during launches and drive solutions from initial deployment to full user adoption and proven business value.
- Codify reusable solution patterns and feed field insights back to product and engineering organizations.
What you need
- Demonstrate strong executive presence and communication skills to serve as a trusted advisor to senior stakeholders.
- Possess product judgment to define requirements, prioritize work, manage scope, and lead complex agile software projects.
- Understand modern data and artificial intelligence architectures including cloud platforms, distributed systems, machine learning, and APIs.
- Show proficiency in at least one programming language such as Python, Java, or SQL for data exploration and code review.
- Bring 7 or more years of experience delivering complex, customer-facing data, analytics, artificial intelligence, or software engagements.
- Demonstrate experience helping deliver data, machine learning, or generative AI systems into production environments.
Nice to have
- Experience in a high-growth technology company
- Background in a forward-deployed organization
- Experience working in a leading consultancy
- Experience as a founder or technical builder
Skills and tech stack
Questions candidates ask
What is the travel or onsite policy for this role?
This role requires working onsite with customers often between 25% and 50% of the time, and sometimes higher, to drive delivery.
What is the expected pay range for the position?
The expected base salary range is $219,765 to $302,220 USD, with actual compensation based on job-related skills, depth of experience, certifications, and work location.
What technical skills are required?
Candidates must be proficient in at least one language such as Python, Java, or SQL, and understand modern data and AI architectures including cloud platforms, distributed systems, and machine learning.