Jobs at Fruition Executive Search

Build and own the core platform powering AI agents for supply chain operations. Responsibilities include customer-facing feature development, secure data models, event-driven pipelines, APIs, real-time operator consoles, ERP and logistics integrations, synchronization infrastructure, observability, SLOs, and on-call practices. The role spans backend, data engineering, and frontend development in a hybrid startup environment.

Leads development of agentic AI capabilities that execute multi-step workflows across desktop engineering tools. Owns agent architecture, evaluation frameworks, benchmarking, cost efficiency, user-story validation, and production delivery. Serves as player-coach for a small AI engineering team, writing code, reviewing designs, and setting technical direction. Requires expertise in LLM application architecture, real-world agents, Python, desktop automation, engineering software domains, and enterprise deployment constraints.

Build and own the recruiting marketplace’s AI/ML intelligence layer, including recommendation, ranking, retrieval, and LLM-powered candidate-role matching. Ship production features rapidly, architect data pipelines and model services, and translate founder product goals into deployed systems. The role requires applied machine learning, recommender systems, production LLM API experience, and strong Python or TypeScript skills. Work is fully on-site in San Francisco six days per week.

Build and own full-stack AI systems for hospitality, including response generation, retrieval, tool orchestration, evaluation, observability, no-code controls, voice capabilities, infrastructure, data pipelines, and integrations. The role focuses on making AI agents reliable in real-world conversations with messy data and failing third-party APIs while optimizing performance and cost.

Own the end-to-end computer vision platform for fine-grained item identification and pricing. Responsibilities include designing and fine-tuning vision models, defining evaluation and confidence standards, building labeling feedback loops, prioritizing coverage versus accuracy, and deploying reliable, low-latency serving infrastructure at scale. The role also communicates model capabilities and trade-offs to technical and non-technical stakeholders.

Own and optimize growth programs across cold email, paid acquisition, content, SEO, partnerships, and events. Develop scientific testing processes, manage email deliverability, launch campaigns across Meta, LinkedIn, and Google, create high-velocity branded content, execute SEO strategy, and drive partnerships and event attendance through measurable outcomes.

Owns the architecture, infrastructure, evaluation, and quality improvement of multi-channel AI marketing agents. The role develops measurable agent evaluation systems, feedback loops, SEO and GEO optimization, model strategies, and supporting data pipelines. It also involves hiring and leading the AI team as the startup grows, while partnering directly with the founder.

Build and own an applied AI intelligence layer for construction documents. Set technical direction across computer vision, LLMs, and AI systems; select and coordinate detection, segmentation, OCR, and reasoning models; rapidly ship 0-to-1 prototypes; and harden them using user feedback. The role requires handling ambiguous problems, messy data, edge cases, and end-to-end production deployment as a founding engineer.

Build and ship production infrastructure for reliable AI agents handling complex, multi-step tasks. Responsibilities include agent execution, retrieval and memory systems, evaluation harnesses, production improvements, customer collaboration, orchestration, and hiring. The role requires owning the full development cycle and improving agent performance using real-world feedback.

Designs, builds, documents, and administers relational and non-relational database systems supporting mission-critical distributed environments. Responsibilities include replication, high availability, failover, performance tuning, capacity planning, backup and recovery, schema translation, scripting, requirements analysis, and risk assessment. The engineer collaborates within an Agile team with systems, software, test, information assurance, and customer stakeholders. An active TS/SCI clearance with Full Scope Polygraph is required, along with extensive DBA experience and Oracle expertise.

Designs, builds, documents, and administers relational and non-relational databases for a mission-critical distributed intelligence system. Responsibilities include replication, failover, high availability, performance tuning, capacity planning, backup and recovery, user administration, schema translation, requirements analysis, and risk assessment. Collaborates with systems, software, test, information assurance, and customer teams in an Agile environment. Requires active TS/SCI with Full Scope Polygraph and substantial DBA experience.

Designs and engineers relational and non-relational database systems for mission-critical, distributed intelligence systems. Responsibilities include architecture, replication, failover, high availability, performance tuning, capacity planning, backup and recovery, user administration, schema translation, scripting, requirements analysis, risk assessment, and database design. The role collaborates with systems, software, testing, information assurance, and customer teams in an Agile environment.

Designs, builds, documents, and administers relational and non-relational databases for a mission-critical distributed intelligence system. Responsibilities include replication, failover, high availability, performance tuning, capacity planning, backup and recovery, user administration, schema translation, scripting, requirements analysis, and risk assessment. Collaborates with systems, software, testing, information assurance, and customer teams in an Agile environment. Requires active TS/SCI with Full Scope Polygraph and extensive DBA experience.

Lead enterprise and solution architecture for SAP S/4HANA transformation, rollout, and system-conversion programs. Define target architecture across SAP, Salesforce, middleware, SaaS, legacy platforms, APIs, data, and security. Govern integration patterns, Clean Core, BTP extensions, master data, migration, architecture standards, risks, dependencies, technology roadmaps, and implementation sequencing.

Leads Workday and enterprise business application architecture, roadmap planning, integrations, data quality, security, releases, and continuous improvement. Partners with HR, Finance, HRIS, Payroll, IT leadership, vendors, and cross-functional teams to translate business needs into scalable solutions. Oversees program governance, risk management, executive reporting, implementation planning, system performance, compliance, documentation, training, and end-user adoption.