Forward Deployed Engineer

Rely Health•San Francisco, CA

5d•Hybrid

About The Position

Looking for candidates located in the San Francisco Region only. About Rely We’re building the AI Operating System for Patient Orchestration. Care fails when the next best step doesn’t happen—and most systems don’t have a closure mechanism. A reminder can be sent and the patient still misses care. A referral can be placed and the patient still leaks. A discharge can be signed and the patient still bounces back. Rely is the missing layer: detect exceptions, route resolution, and prove completion —with AI for throughput , humans for exceptions , and observability that lets us debug real operations and drive human minutes per completed outcome down over time. The Role The Forward-Deployed Engineer (FDE) is a customer-proximate, outcomes-driven individual contributor who makes Rely’s programs work end-to-end in the real world. This role sits at the intersection of engineering, product, and operations and is “navigator-based”: you work closely with navigators and ops, and collaborate directly with customers and Sales/AM to ensure we deliver outcomes. This role is not static. Tools and platforms evolve month-to-month as we adopt vendors, build internal systems, and improve the stack. Success requires comfort learning new tools quickly while maintaining a high bar for quality, reliability, and delivery. Important note: what “engineering” means here This is not a backend production engineering role. You will build internal tools, scripts, workflow configurations, dashboards, and prototypes (often using AI-assisted / low-code tooling). You will not be asked to own production backend services

Requirements

Minimum Required Qualifications: Bachelor’s degree in related field (UX/UI design, Interaction Design, HCI, Computer Science) or equivalent experience
Proven experience with GPT (or similar AI content generation technologies and Kibana)
Comfort with SQL and basic scripting (Python/TypeScript) for internal tooling.
Strong knowledge of Elasticsearch and its integration with Kibana
Ability to communicate complex technical topics clearly and concisely
Ability to debug across systems (configs, APIs, logs, data) and ship reliable changes.
Experience interfacing with customers in a high-capacity and significantly driving the adoption of the product
Experience with no-code or low-code platforms
Experience with project management/documentation tools like Notion

Nice To Haves

Experience with other OpenAI products
Experience building automation/agents, eval sets, or quality gates.
Experience in forward-deployed engineering, solutions engineering, implementation, or technical operations.
Competencies (Knowledge/Skills/Abilities): Strong ownership and problem-solving mindset; you drive issues to verified resolution.
Ability to build relationship across the company to effectively design products
Strong analytical skills to work evaluate model performance and improve prompt effectiveness
Knowledge of data visualization principles and best practices
Excellent problem-solving skills and a detail-oriented approach to design
Comfort operating in ambiguous, fast-moving environments with evolving tools.
Strong communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
Ability to scope project timelines and meet appropriate deadlines
Ability to work evening and weekends as needed to execute on deadlines
Creativity, open mindset to drive experimentation and internal R&D
Proven ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders, ensuring that customers can effectively leverage advanced product features.