The Chief of Staff, AI Special Projects is a high-agency operating role that reports to the Head of Engineering and helps a rapidly growing AI team operate with speed, clarity, and follow-through while building AI-enabled platforms inside a complex, high-stakes investment and financial services environment. 

This role is designed for a highly capable, technically curious operator who wants to work directly with Engineering leadership, learn quickly through close mentorship, and grow into materially broader ownership as the team scales. The expectation is not that this person has all the answers on day one; the expectation is that they bring strong judgment, learning velocity, organization, follow-through, and comfort operating in uncertainty. 

This role is a force multiplier for product development, Engineering leadership leverage, daily execution, and the operating rhythm required to scale quickly. Sitting at the epicenter of Engineering, Product, and domain Subject Matter Experts (SMEs), this person will help organize priorities, capture context, run the operating cadence, support platform health, source critical talent, and unblock work. 

Few roles offer this combination of access, urgency, mentorship, and learning curve: a front-row seat to technology, startup-style AI product building, and a cutting-edge financial services environment. You will see how ambiguous business problems become prototypes, evaluations, production launches, and scaled workflows, while learning directly from Engineering leadership and a founding AI team. Whether you are a recent graduate, early in your career, or coming from a different professional path with limited direct exposure to tech, startups, institutional finance, or hedge funds, this role is designed to be a growth accelerator and a credible bridge into multiple future paths, including engineering, product, strategy, operations, or other high-leverage technology-adjacent roles. 

The role will start with strong execution support, context capture, follow-through, and operating cadence, and is expected to grow into broader ownership of special projects, decision visibility, and cross-functional execution. 

This is a fully remote position that offers a competitive salary range of $120,000 to $180,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.

Daily Operations & Team Cadence 

• Own and run many of the team's daily operational tasks: agendas, notes, action items, follow-ups, trackers, decision logs, recurring rituals, operating checklists, and meeting preparation 

• Run a clear rhythm for priorities, standups, demos, stakeholder check-ins, feedback loops, launches, and post-launch follow-through 

• Keep docs, task boards, timelines, status updates, operational checklists, and open questions current so everyone knows what matters and who owns it 

Technology Platform Operations & Service Health 

• Play a significant role in ensuring healthy day-to-day operations of all critical technology platforms and services, partnering with Engineering to track service health, releases, incidents, escalations, risks, and follow-through 

• Maintain lightweight dashboards, runbooks, operating checklists, escalation paths, service-review notes, and post-incident action items so platform work stays visible and accountable 

• Help coordinate platform rollouts, issue triage, stakeholder communications, user feedback loops, reliability follow-through, and operational improvements across critical systems 

Engineering Leadership Leverage & Special Projects 

• Partner directly with the Head of Engineering on high-priority AI special projects that need structure, urgency, and follow-through 

• Convert broad goals into plans with owners, milestones, risks, decisions, and next actions 

• Jump into gaps across discovery, demos, rollout coordination, hiring support, vendor sourcing and engagement, talent sourcing, documentation, and stakeholder communication 

Product, Domain & Workflow Translation 

• Learn investment, operational, and technology workflows by working with SMEs, operators, product managers, engineers, and users 

• Turn messy domain context, feedback, edge cases, and constraints into notes, requirements, maps, FAQs, and action plans 

• Highlight where AI, automation, or better workflow design can create leverage for users and the team 

Communication & Stakeholder Alignment 

• Draft crisp briefs, research summaries, roadmap updates, launch notes, recaps, and executive-ready updates 

• Keep stakeholders aligned on priorities, tradeoffs, timelines, ownership, decisions, and follow-through 

• Build lightweight docs, onboarding materials, knowledge hubs, and playbooks that help the team scale 

• Build trust through responsiveness, discretion, judgment, and clear communication 

AI-Native Operations & Continuous Improvement 

• Use modern AI tools and platforms every day to speed up research, synthesis, planning, documentation, analysis, project management, workflow design, and communication 

• Experiment with AI-assisted ways to improve knowledge capture, reporting, process automation, recruiting workflows, service-health visibility, and team operations 

• Identify bottlenecks, manual work, dropped handoffs, and unclear processes; help fix them 

Talent Sourcing & Team Buildout 

• Help source critical talent and build out the team by identifying promising candidates, organizing outreach lists, preparing candidate context, coordinating interview loops, and driving fast follow-through 

• Support onboarding and team rituals as the AI organization scales, turning repeated questions, handoffs, and processes into clear playbooks 

• Represent the team with professionalism, urgency, and strong written communication in candidate and stakeholder interactions 

Culture & Team Building 

• Contribute to a founding-team culture of ownership, curiosity, urgency, low ego, customer obsession, technical curiosity, and learning 
• Take on unglamorous work when it matters and turn repeated work into scalable systems over time 

• Hunger to learn, high agency, excellent organization, and excellent written and verbal communication skills 

• Strong technical fluency and comfort using AI tools and platforms to accelerate research, synthesis, documentation, analysis, planning, workflow design, and communication. A coding, computer science, engineering, quantitative, analytical, operational, or self-taught technical background is helpful, but a traditional CS degree or conventional technology resume is not required 

• Comfort operating in ambiguous environments where priorities change, context is incomplete, and the next step needs to be created 

• Exceptional learning velocity and comfort growing into broader responsibility quickly; you may not have direct experience in every area, but you can absorb context, ask good questions, build judgment, and take on increasingly ambiguous work over time 

• Strong follow-through: you remember details, close loops, keep people accountable, and make sure important work does not get dropped 

• Strong curiosity about AI, product development, engineering, platform operations, financial markets, startup-style execution, complex workflows, and how technology teams build and scale products 

• Strong judgment, discretion, and maturity when working in a regulated, high-stakes environment 

• Ability to work well with technical, product, business, operational, recruiting, and vendor stakeholders 

• Bias toward action and continuous improvement; you are energized by learning quickly, improving systems, and making the team more effective 

Preferred Experience 

• Exposure to startups, consulting, operations, product, engineering, AI tools, automation, recruiting, team-building, or workflow improvement 

• Experience using AI tools for research, writing, analysis, coding, automation, project management, or workflow acceleration 

• Experience working with operators, domain experts, customers, executives, technical teams, candidates, or external partners 

• Experience organizing teams, programs, labs, communities, side projects, events, operational initiatives, or other complex workstreams 

A note to candidates 

You do not need prior finance, AI, engineering, hedge fund, or startup experience, or a traditional computer science degree, to succeed in this role. We are looking for someone hungry to learn, highly organized, technically savvy, high agency, and an excellent communicator. 

This is a rare opportunity to earn a front-row seat inside a cutting-edge hedge fund building frontier AI platforms and operational capabilities from the ground up, with the pace, ambiguity, and learning curve of a startup-style technology team. Whether you are a recent graduate, early in your career, or coming from another path without deep exposure to these environments, the role can supercharge growth into multiple possible trajectories over time. 

If your background does not line up perfectly with every bullet, but this role feels like the kind of opportunity that could help you grow into engineering, product, strategy, operations, or another high-leverage technology-adjacent path, please apply.

Bayview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. 

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