Human Agency

Chief of Staff

• Partner with the Managing Director of AI and executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes.
• Maintain focus and accountability on near-term deliverables and long-term goals; surface risks and options early.
• Bring a practical understanding of AI capabilities; convert complex concepts into clear options with trade-offs for leaders and clients.
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions.
• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and post-launch improvement.
• Run discovery to surface use cases, success metrics, risks, and change-management needs; translate findings into scopes, timelines, and clear acceptance criteria.
• Coordinate solution build-outs with internal teammates and external partners (no engineering management required): data/connectivity needs, tool selection, light integration planning, and rollout choreography.
• Quality & governance: set lightweight evaluation routines (accuracy, latency, cost), prompt/playbook management, basic safety/guardrail checks, and UAT plans.
• Communication & stakeholder management: lead standing client check-ins, demo readiness, decision logs, and release notes—presenting succinct options and recommendations.
• Budget & scope control: track time against SOWs, flag changes early, manage subcontractors, and ensure on-budget delivery with clear documentation.
• Enablement: create simple guides, FAQs, and training sessions to help client teams adopt new AI-enabled workflows.
• Design and continuously improve the operating system for work: intake → triage → prioritization → delivery → QA → launch → measurement.
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack).
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences.
• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights.
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions.

Full-stack Engineer

• At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development.
• We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently.
• As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.
• In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.
• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.
• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.
• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Senior Full-Stack Engineer

Product Manager

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
• Scope projects with realistic estimates and clear milestones that deliver value early and often.
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
• Codify lessons into playbooks so the client builds lasting product capability.
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.

Chief of Staff

Senior Full-Stack Engineer

Product Lead