Distyl AI

AI Research Scientist

• The Benchmarking team defines how progress is measured. Researchers design evaluation frameworks that capture reasoning depth, interaction quality, reliability, and operational impact. They construct benchmarks that reflect real-world complexity.
• Researchers in Benchmarking explore new paradigms for evaluating intelligent systems: adversarial robustness testing, longitudinal performance tracking, and human-in-the-loop assessment. They investigate how metrics shape model behavior and establish rigorous methodologies for quantifying emergent capability. Their insights drive both Distyl’s internal research priorities and industry-wide standards.

Applied AI Researcher, Benchmarking

Financial Planning and Analysis

• Build and lead Distyl’s finance function, including FP&A, accounting, and reporting from the ground up.
• Partner closely with the COO and leadership team across Operations, Growth, and Engineering to inform key business decisions.
• Develop financial models, forecasts, and frameworks to guide hiring, pricing, and investment decisions.
• Create scalable processes for budget discipline, expense management, and financial accountability.
• Lead and manage fundraising preparation, owning investor materials, scenario modeling, and due diligence readiness.
• Design and manage monthly and quarterly close processes in partnership with external accounting firms.
• Deliver clear, actionable financial reporting and insights for executives, the board, and investors.
• Oversee treasury, cash management, and capital allocation to ensure financial sustainability and strategic growth.
• Build, coach, and develop a small finance team as the company scales.

Head of Finance

• The System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation.
• Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to “understand” and redesign itself. Their work defines the frontier of self-referential, generative system architectures.

Applied AI Researcher – System Self-Construction

• The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance
• Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation
• Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail
• They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution

Applied AI Researcher – System Self-Improvement

• The Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements.
• Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl’s enterprise systems.
• Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives.
• They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability.

Applied AI Researcher, Post-Training

• Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems
• Draw connections across disparate domains to uncover new system archetypes
• Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration

Applied AI Researcher – System Discovery

• Designing compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution
• Investigating the governing principles behind complex system interactions
• Studying coordination, information flow, and emergent behavior across multiple agents and models
• Identifying underlying mechanics of robustness, composability, and alignment

Applied AI Researcher, AI Systems

Operations

• Run the weekly Delivery business rhythm (forecast reviews, staffing standups, at‑risk project reviews, backlog health).
• Maintain a rolling 13‑week delivery and revenue forecast; track variance to plan and drive corrective actions.
• Build and maintain dashboards for utilization, margin, delivery status, and capacity.
• Establish & monitor project P&L (budget vs. actuals, gross margin, burn rate, change orders, billing milestones).
• Partner with Finance on revenue recognition readiness (T&M vs. fixed fee), WIP, backlog, and DSO impacts.
• Ensure accurate and timely time entry, expense submission, and milestone completion for invoicing.
• Own supply/demand planning, role forecasting, and staffing requests across projects and pre‑sales.
• Track utilization (billable, productive, and bench) and recommend hiring or contractor backfills.
• Maintain skills inventory and help route the right resources to the right work.
• Setup initial PSA system and ensure data accuracy and process compliance in PSA and CRM.
• Define and enforce a services data dictionary (project stages, fields, picklists, SLAs); build automation and QA checks.
• Translate SOWs into deliverable work plans with budgets, schedules, and resourcing assumptions.
• Partner with Sales Ops to ensure opportunity handoff completeness and clean project creation; align with Finance on billing cadence and margin targets.
• Create and maintain process documentation, standardize SOW templates, project plans, and reporting packs; train PMs/consultants on operational best practices.
• Analyze trends to reduce delivery risk and improve throughput; lead pilots for new tools or process changes and scale successes.

Delivery Operations Manager

Executive Assistant

• Support CEO with business and personal tasks, blending executive and personal assistance.
• Manage the CEO’s complex calendar, scheduling internal and external meetings, appointments, and travel; anticipate needs, resolve conflicts, and prioritize.
• Coordinate domestic and international travel, including flights, accommodations, itineraries, visas, reservations, and expense reporting.
• Serve as primary point of contact for internal and external stakeholders, oversee correspondence, draft communications, and triage requests.
• Streamline administrative workflows, systems, and documentation for the CEO’s office and act as central point of coordination.
• Proactively remove friction from the CEO’s day-to-day operations and enable focus on top priorities.
• Manage personal tasks such as scheduling, reservations, travel, errands, and liaise with household vendors; plan personal events.

Executive and Personal Assistant

Manager

• Oversee day-to-day operations of the San Francisco office (facilities, supplies, space planning, seating charts, equipment)
• Manage relationships with building management and external vendors (cleaning, security, catering)
• Be on-site five days per week and oversee/collaborate with the Office Coordinator to ensure NY office operates smoothly
• Ensure workplace safety, compliance, and emergency preparedness
• Create a welcoming and productive environment for employees, visitors, and partners; manage front-of-house operations, reception, guest check-ins, and visitor flow
• Plan and execute team events, celebrations, swag, and engagement programs that foster connection across NY and SF offices
• Organize culture-building initiatives and support internal communications and feedback loops
• Oversee employee services programs (perks, food, wellness initiatives) and assist with planning logistics for team offsites and cross-functional projects
• Deliver smooth onboarding for new hires across NY and SF, including Day 1 logistics, scheduling, account setup, and monthly onboarding cohorts
• Own office budget for supplies, food, events, and vendor contracts; negotiate with vendors for cost savings and quality

Workplace Experience Manager

Chief of Staff

• Serve as trusted partner to CEO: triage priorities, prepare for high-stakes meetings, ensure follow-through on critical decisions
• Manage company-wide operating rhythms and leadership operating cadence (OKRs, planning)
• Lead and track cross-functional initiatives, unblock issues, manage interdependencies, ensure outcomes
• Surface and solve key strategic issues; ensure CEO time is focused on highest-leverage areas
• Partner with SGE leaders to shape pricing, packaging, and customer feedback loops
• Draft executive communications, internal updates, and strategic narratives to drive alignment
• Design and run leadership team meetings, offsites, and company-wide moments
• Identify organizational gaps, remove friction, and improve systems and structures to support scale

Growth Marketing

• As the Growth & Alliances Strategist, you’ll be the bridge between partnerships, marketing/brand, and top of funnel sales initiatives - keeping executive engagement for new opportunities alive, relationships warm, and our thought leadership visible. You’ll work closely with leadership to ensure the right opportunities move forward, our presence in the market expands and our partnership delivers measurable impact.
• Increase engagement velocity by ensuring every opportunity in our pipeline is warm and moving toward conversion.
• Manage CRM updates, keep pipeline clean and current, and ensure timely follow-ups.
• Support top-of-funnel outreach and nurture early stage opportunities into active deals.
• Coordinate compelling partner marketing collateral and campaigns.
• Maintain consistent touchpoints with 4 partners (OpenAI, Anthropic, MS, and Snowflake).
• Drive outreach and research for the Distyl Dialogues series and Ignite. Coordinate calls for papers, conference submissions, and speaking opportunities at major events like NeurIPS, CubeCon.
• Ensure Distyl’s brand presence at events feels world-class and strategically aligned with our growth goals.
• Anticipate needs and proactively connect dots across brand, events, partnerships, and business development.
• Track deadlines, deliverables, and follow-ups for key strategic initiatives.
• Prep leadership with relevant context, talking points, and opportunities ahead of key meetings.
• Our CRM is clean, current, and adapted as a source of truth for opportunity management (and used for future investor meetings).
• All opps in “Engage” are warm with a path to “Capture”.
• Leadership is consistently prepped and two steps ahead in all partnership meetings.
• Partnerships and brand moments feel seamless and coordinated, including partner marketing assets and other deliverables.
• We’re three steps ahead in CFPs and don’t miss key industry opportunities to speak, attend, or engage with the right Distyl folks at the right events.

Growth & Alliances Strategist

Artificial Intelligence

• Lead High-Impact Delivery: Oversee the successful execution of a portfolio of enterprise-scale projects, ensuring they meet business objectives and drive measurable impact.
• Operate at Maximum Velocity: Embrace a high-speed, dynamic environment where priorities can shift, requiring quick thinking and adaptability.
• Drive Stakeholder Alignment: Regularly report on program status to senior executives, technical teams, and business leaders, fostering trust and maintaining alignment.
• Optimize Program Success: Structure and scale delivery efforts to maximize impact and efficiency, ensuring the program runs at peak performance.
• Influence Key Customer Decisions: Guide the client in providing the necessary teams, integrations, and resources to make the program a success.
• Grow and Motivate a Team: Onboard and organize forward-deployed AI engineers and AI strategists to design and build cutting-edge AI solutions.
• Stay Engaged in Delivery Activities: Run daily project scrums, engage in planning, requirements gathering/refinement, product management, testing, evals, deployment, etc, whatever is needed to drive execution forward.
• Champion AI-Driven Solutions: Understand how AI and automation can enhance business processes and technology delivery.
• Write the Playbook: Author best practices for delivering AI programs at scale.