Distyl AI

Artificial Intelligence

• Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders
• End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement
• Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer
• Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
• User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value
• Product Feedback: Represent the customer's voice, surfacing pain points that drive future product improvements

AI Strategist, All Levels

Technical Writer

• Own and drive the content calendar — ideation, scheduling, publishing, and iteration
• Maintain a consistent publishing rhythm of 2–4 quality pieces per month across channels
• Track performance across channels and use data to sharpen what's working
• Partner with sales to ensure content drives qualified pipeline, not just engagement metrics; track which content and channels generate leads
• Own and manage a regular Distyl newsletter that keeps our audience of engineers, executives, and prospects engaged with our latest thinking, product updates, and industry perspective
• Write and edit technical blog posts, white papers, thought leadership pieces, case studies, and presentations
• Translate complex AI/ML concepts into content that both engineers and executives actually want to read
• Develop and maintain Distyl's brand tone of voice across all written channels
• Own Distyl's LinkedIn company page and support executive profiles
• Produce authentic, DIY short-form video content — filmed on your phone, not a film set
• Develop creative video concepts and scripts from scratch, and pull in teammates, engineers, or founders to bring ideas to life on camera
• Build content that drives recruiting interest and brand awareness among technical audiences — attracting top-of-funnel candidates is a real goal, not an afterthought
• Experiment relentlessly
• Support events and conferences to build relationships with the technical community
• Own and manage Distyl's video presence end to end — from short-form social clips to longer-form technical explainers — scripting, filming, and editing
• Partner directly with our PR agency to align content with media strategy, support campaign execution, ensure a consistent narrative across owned and earned channels, and draft press releases and media pitches
• Ghostwrite executive content across formats — LinkedIn posts, op-eds, bylined articles, award submissions, and speaking abstracts — for the CEO, co-founder, and other executives; you can capture a founder's voice and make it sound effortless
• Develop and nurture direct relationships with journalists and analysts covering AI and enterprise tech

Technical Content Creator

• Drive the AI solutioning throughout the pre-sales process on healthcare deals — from initial discovery through deal close, you own the momentum that gets engagements across the finish line
• Diagnose prospective client problems through an AI lens and identify where AI-enabled strategies can transform operations, optimize workflows, and improve outcomes at scale
• Research clients and their industry landscape to prepare materials for prospective client meetings, including use case points of view tailored to each prospect
• Develop deep expertise in Distyl’s Healthcare Solutions (Utilization Management, Care Management, Cost of Care, Claims, Member/Provider Communications etc.) to identify and prioritize high-value use cases for each customer
• Feed insights to AEs to sharpen the pitch and differentiate Distyl’s AI-enabled offerings
• Conduct technical discovery after Account Executives open the door — identify the right use cases, solution architecture, and feasibility
• Identify the most valuable problems to solve. Embed yourself in the customer’s workflow to understand it better than the users themselves
• Work closely with engineering to co-design solutions — you can whiteboard an architecture, debate tradeoffs in system design, and bridge the gap between what the customer needs and what the platform can deliver
• Build demos and competitive positioning docs with internal stakeholders, driving rapid delivery for demos and POC scoping
• Build out POC proposals — define scope, success criteria, timelines, and resource requirements
• Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
• Build compelling storylines and decks that make the ROI of AI transformation concrete and undeniable
• Create and maintain reusable GTM assets — demo scripts, ROI calculators, competitive positioning materials, and use-case-specific pitch decks aligned for Solutions
• Own the knowledge transfer, ensuring clean, formal handoff to the expansion team
• Maintain living account documentation during the pre-sales phase

AI Strategist, Healthcare Solutions

Product Manager

• Define and drive the product roadmap for Distyl’s internal AI platform, including vertical products ensuring it supports both internal teams and enterprise deployments.
• Partner closely with platform engineers, forward-deployed engineers, AI researchers and Clients to translate real-world use cases into scalable platform capabilities.
• Identify opportunities to turn one-off customer solutions into reusable product features.
• Prioritize development of platform components such as:
• - AI model orchestration
• - agent frameworks
• - evaluation pipelines
• - developer tooling
• - enterprise data integrations
• Gather feedback from internal teams and enterprise clients to improve developer experience and system reliability.
• Define clear product requirements, success metrics, and technical specifications for platform capabilities.
• Ensure the platform enables fast, reliable, and secure AI deployments for enterprise customers.
• Collaborate with leadership to align platform investments with Distyl’s strategic goals.

Platform Product Manager

Frontend Engineer

• Design and ship interfaces where operators interact with AI systems to perform real operational work. These applications may include: knowledge capture tools, evaluation and feedback workflows, AI configuration and control interfaces, workflow orchestration tools, and custom applications for enterprise use cases
• Collaborate closely with AI Strategists and customer domain experts to understand real workflows
• Translate those workflows into working product experiences that allow operators to interact with and guide AI systems
• Move quickly from idea → prototype → production
• Use real user interactions and system behavior to refine both the product experience and the AI systems it supports
• Integrate applications with LLMs, evaluation pipelines, and internal AI infrastructure
• Understand how interface design affects: system behavior, feedback quality, user trust, system improvement loops

Frontend Product Engineer, AI Applications

Backend Engineer

• Build the frontend platform that enables humans and AI agents to create and evolve applications
• Design frontend architecture ensuring applications can be built and deployed rapidly
• Enable forward deployed and research teams to push the limits
• Work closely with research engineers developing new AI capabilities
• Design frontend primitives and platform infrastructure for rapid experimentation
• Develop and maintain frontend platform guardrails and standards
• Define architectural patterns and shared primitives for building applications
• Design and own component systems and UI primitives

Frontend Platform Architect

Affiliate Manager

• Serve as a strategic operational partner to the CEO, helping manage priorities, commitments, and key initiatives.
• Manage and optimize the CEO’s calendar, travel, and scheduling to maximize focus on high-impact work
• Drive preparation and follow-through for board meetings, executive leadership meetings, investor discussions, and critical internal forums.
• Track and coordinate company-wide initiatives, ensuring alignment across leadership teams and removing blockers when they arise.
• Anticipate issues before they become problems and proactively resolve them.
• Manage complex logistics and communications across internal and external stakeholders.
• Create systems that improve information flow, operational clarity, and execution speed for the leadership team.
• Support high-priority projects and company initiatives directly with the CEO.
• Serve as a trusted gatekeeper for the CEO’s time while ensuring important issues reach them quickly.

Executive Business Partner

General Counsel

• Own and drive Distyl’s commercial contracting framework (enterprise and partner agreements), ensuring repeatability, consistency, and legal defensibility at scale.
• Lead contract negotiations end-to-end with strategic customers and partners, including drafting terms that balance business objectives with risk tolerance.
• Design and implement scalable systems (templates, playbooks, workflows) that reduce cycle times and elevate legal quality across teams.
• Partner closely with cross-functional stakeholders (Sales, Product, Finance) to align legal strategy with business objectives and to unblock deals.
• Assess and manage legal risk in commercial and regulatory contexts, advising business partners with clarity and practical solutions.
• Continuously improve internal standards, tooling, and best practices to support Distyl’s rapid growth while maintaining legal resilience.

Commercial Counsel

Production Engineer

• Own the performance and reliability characteristics of AI systems deployed in customer environments
• Design, build, and operate low-latency AI services—including real-time voice and interaction pipelines—as well as large-scale batch processing workflows that execute complex AI workloads reliably
• AI Production Engineers are the escalation point for performance and reliability risk, and have veto power on launches that violate production constraints
• Deeply involved in system design, implementation, and operation, investigating performance bottlenecks, failure modes, and scaling limits across AI pipelines, APIs, orchestration layers, and infrastructure
• Design and evolve observability systems—metrics, logs, tracing, alerts—that make AI behavior understandable and actionable in production
• Work directly with Forward Deployed AI Engineers, Product Engineers, and Architects to ensure that production constraints meaningfully shape system design
• Step in on high-risk or high-impact issues, debug live systems, and harden AI services so they can operate continuously under real-world load
• Help turn one-off production solutions into reusable patterns and platform capabilities, raising the overall production bar for Distyl’s AI systems over time

AI Production Engineer

AI Engineer

• Own the behavior and performance of AI systems deployed for customers
• Design and implement compound AI workflows that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real SME needs
• Operate on live systems, measuring behavior, identifying failure modes, and iterating rapidly to improve quality, reliability, and usefulness. This includes designing prompts and agent logic, building evaluation frameworks, integrating feedback loops, and using AI-driven tools to accelerate debugging and experimentation
• Integrate AI systems into customer data platforms, APIs, and existing applications. You'll make pragmatic system design decisions that balance speed, robustness, and maintainability, and ensure systems remain understandable and operable over time
• Work directly with customer stakeholders—often in high-visibility settings—and are expected to reason clearly about system behavior, tradeoffs, and limitations.
• Take accountability for outcomes in production and adapt systems as requirements evolve

Forward Deployed AI Engineer

• Own the technical shape of AI systems deployed in customer environments
• Define how models, agents, data pipelines, APIs, and orchestration layers fit together, how those systems integrate with existing enterprise infrastructure, and how they are operated safely and reliably at scale. Their focus is on cross-cutting architectural patterns that span multiple customer systems, ensuring consistency, safety, and long-term evolvability across deployments
• Hands-on throughout the lifecycle—building reference implementations, reviewing and evolving production systems, and stepping in directly on high-risk or high-impact technical problems
• Accountable for architectural coherence across teams and over time, ensuring that systems remain composable, secure, observable, and adaptable as requirements evolve
• Investigate how AI systems, legacy systems, and human operators interact in practice.
• Identify failure modes, risk surfaces, and integration bottlenecks, and establish guardrails and patterns that allow teams to move quickly without sacrificing safety, auditability, or correctness
• Act as peers to senior technical leaders in customer engagements—whiteboarding architectures, pressure-testing assumptions, and translating business objectives into concrete, executable system designs. They influence direction through clarity of reasoning and demonstrated delivery, not escalation

Forward Deployed AI Architect

Full-stack Engineer

• Own the design and implementation of user-facing applications that sit directly on top of AI systems
• Build interfaces and workflows for knowledge capture, system configuration, evaluation, and feedback
• Accountable for whether human interactions with AI systems produce high-quality signal that measurably improves system behavior over time
• Partner with AI Strategists to understand customer goals, domain constraints, and success metrics
• Help shape how domain knowledge and business intent are encoded into workflows, schemas, and interfaces
• Work across the full stack—front end, back end, and data—to deliver cohesive product experiences
• Study how humans and AI systems interact in real workflows
• Iterate quickly in production, using real user behavior and system outcomes to refine both the product experience and the AI systems
• Ownership of shipped product experiences and adapt them as customer needs, business objectives, and AI capabilities evolve

AI Product Engineer

• Design and implement evaluation frameworks that enable Evaluation-Driven Development for AI systems deployed in customer environments
• Define how system quality is measured in each domain, ensuring that evaluation signals reflect real user needs, domain constraints, and business objectives
• Build and maintain golden test cases and regression suites in Python, using both human-authored and AI-assisted test generation to capture critical behaviors and edge cases. These test suites are treated as first-class system components that evolve alongside the AI system itself
• Develop and maintain evaluation pipelines—offline and online—that integrate directly into system iteration loops. Evaluation results inform prompt design, agent logic, model selection, and release readiness, ensuring that system changes are driven by measurable improvements rather than intuition alone
• Define, calibrate, and operate LLM-based graders, aligning automated judgments with expert human assessments. They investigate where evaluation signals diverge from real-world outcomes and refine grading approaches to maintain signal quality as systems and domains evolve
• Work closely with Forward Deployed AI Engineers, Architects, Product Engineers, AI Strategists, and domain experts to ensure evaluation frameworks meaningfully guide system development and deployment in production

AI Evaluation Engineer

Financial Planning and Analysis

• Own monthly close execution end-to-end, including journal entries, reconciliations, cutoffs, and balance sheet integrity
• Apply strong accounting judgment to complex or ambiguous transactions and flag issues early
• Maintain high standards for documentation, reconciliations, and internal controls
• Perform monthly variance and trend analysis, investigating what changed, why it changed, and whether it makes sense
• Translate financial results into clear operational explanations for finance leadership
• Own day-to-day billing, collections, and revenue recognition execution
• Own payroll accounting end-to-end: payroll journal entries, accruals, balance sheet reconciliations, payroll tax filing oversight, and stock-comp payroll inputs, coordinating with People Ops on employee-facing administration
• Build, document, and improve close workflows, reconciliations, and finance processes with scalability and audit readiness in mind
• Support cash management, forecasting inputs, and operational reporting, including vendor commitment tracking and renewal visibility
• Help build audit readiness progressively: draft and maintain GAAP accounting policies, standardize monthly support schedules, strengthen internal controls, and support auditor selection and coordination
• Identify process gaps and implement practical solutions across finance operations, including spend controls, approval workflows, and procurement processes as the function scales