Deployment Strategist

Socket.dev; Duarte (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Socket.dev is seeking a Deployment Strategist to architect and implement AI deployments. You will design agent workflows, manage builds, handle integrations, and ensure deployments deliver measurable value for clinical workflows.

You bring strong technical judgment, customer empathy, and the ability to scope complex problems. This is an orchestration role—not coding but coordinating integrations and running deployments from scoping through optimization.

Qualifications

• 5+ years of technical experience in software, cloud, or design roles.
• Excellent analytical and problem-solving skills for translating customer needs into technical requirements.
• Strong customer empathy and communication; translate concepts for non-technical audiences.
• Proven ability to scope work, estimate timelines, manage dependencies, and communicate status.

Responsibilities

• Initial Scoping & Requirement Analysis with customer to define agent scope and integrations.
• Agent Build & Configuration: design workflows, select tools, configure prompts and behaviors, validate functionality.
• Technical Account Management: lead deployment, manage scope decisions, explain constraints to customers.
• Project Management: develop build timelines, coordinate with engineering, track progress, raise blockers early.
• Integration Architecture: design data requirements and integration workflows with engineering.
• Post-Launch Analytics & Optimization: monitor performance, analyze usage, drive improvements.

Skills

Technical experience

Analytical & problem-solving

Customer empathy & communication

Project management

Job description

The Role

The Deployment Strategist is the technical architect and implementer for each AI deployment, bridging customer needs and technical execution. You'll design agent workflows, manage the build process, handle integrations, and ensure deployments deliver measurable clinical value.

This role demands strong technical judgment, customer empathy, and the ability to scope complex problems under uncertainty. You're not writing code - you're orchestrating integrations, configuring AI agents, and running the deployment from initial scoping through optimization.

What Success Looks Like

• Impact at deployment: Your scoping process accurately translates customer workflows into well-structured agent designs that deliver measurable results
• Efficient builds: You use established tools and patterns to configure agents quickly, spending your time on high-value technical decisions rather than low-level coding
• Smooth integrations: You define integration requirements clearly, work with engineering to execute them, and ensure data flows reliably between our agents and customer systems
• Customer leadership: You're the trusted technical and operational advisor to the customer, explaining trade-offs, managing expectations, and proposing solutions
• Analytics-driven optimization: You monitor agent performance, identify opportunities to improve accuracy or efficiency, and drive continuous refinement
• Knowledge capture: You document patterns, create reusable configurations, and build institutional knowledge that accelerates future deployments
• Effective project management: You are leading use case implementations end to end - tracking to milestones and ensuring successful timely go-lives.

Core Responsibilities

• Initial Scoping & Requirement Analysis - partner with the customer to understand workflows, define agent scope, and identify integration touchpoints
• Agent Build & Configuration - design agent workflows, select tools, configure prompts and behaviors, and validate functionality
• Technical Account Management - act as the lead during deployment, managing scope decisions and explaining technical constraints to customers
• Project Management - develop build timelines, coordinate with engineering, track progress, and elevate blockers early
• Integration Architecture - define data requirements, design integration workflows, and partner with engineering to implement them
• Post-Launch Analytics & Optimization - monitor agent performance, analyze usage patterns, and drive continuous improvements

Location & Travel

This is a forward-deployed, onsite role. This is an onsite role based in Duarte, CA, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.

What You Bring

Must Haves

• 5+ years of technical experience (software engineering, cloud architecture, systems design, or technical consulting)
• Strong analytical and problem-solving skills - ability to translate ambiguous customer needs into clear technical requirements
• Customer empathy and communication: you can explain technical concepts to non-technical audiences and listen deeply to understand underlying customer needs
• Project management capability: you scope work, estimate timelines, manage dependencies, and communicate status proactively

Nice to Haves

• Healthcare domain expertise (clinical workflows, EHR systems, healthcare data standards like FHIR)
• Experience with AI/ML orchestration, prompt engineering, or LLM-powered applications
• Healthcare IT experience (EHR integrations, healthcare data pipelines, clinical informatics)
• Experience building tools for complex, regulated environments

Why Hippocratic AI

You're architecting deployments of the world's first healthcare-only, safety-focused LLM - a breakthrough platform designed to transform patient outcomes at global scale. As the DS, you shape how that safety-first approach translates into real agent designs that clinicians trust. This is category creation, and you're the technical strategist making it work.

You work with an exceptional caliber of technical and clinical talent: AI pioneers from Google, Meta, Microsoft, NVIDIA alongside physicians and hospital leaders from Johns Hopkins, Washington University, Stanford. The insights you gain from customers and partners will accelerate your growth exponentially. You'll solve harder technical problems alongside smarter people.

Backed by $404M in funding

Backed by $404M in funding from the world's leading healthcare and AI investors - CapitalG, a16z, General Catalyst, Kleiner Perkins, and strategic investors like UHS, Cincinnati Children's, and WellSpan Health. This resources and confidence in the vision mean you can focus on technical excellence without worrying about runway. You're building for scale and longevity.

Impact

Every agent you architect has measurable clinical impact. Unlike many technical roles where success is indirect, your designs directly improve patient outcomes, increase clinician efficiency, and transform how healthcare operates. You'll see the clinical value of your technical decisions and know that your work matters in a way few engineering roles do.