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ai product specialist

REGAL

<div>
 ABOUT US:
 
 
 Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations &ndash; with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie&rsquo;s List, HomeAdvisor and Handy) to over $1.5B in revenue.
 
 
 Based in Manhattan, we&rsquo;re building an in-person culture of entrepreneurs who want to win and build something meaningful. We&rsquo;re backed by top investors including Founder Collective, Homebrew and Emergence Capital.
 
 
 Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!
 
 
 
 ABOUT THE ROLE:
 
 
 We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to.
 
 
 The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you&rsquo;re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success.
 
 
 AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You&rsquo;ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You&rsquo;ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you&rsquo;ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you&rsquo;ll own Quality Control and testing of AI Agents to ensure they meet quality standards.
 
 
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer&rsquo;s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent
 </li>
 <li>
 Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal&rsquo;s signature and that meets customer&rsquo;s requirements and business objectives.
 </li>
 <li>
 Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile
 </li>
 <li>
 QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer&rsquo;s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers&rsquo; confidence in AI Agents so they don&rsquo;t have to put QA hours against it
 </li>
 <li>
 Iterate &amp; Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria
 </li>
 <li>
 Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we&rsquo;ve learned in a digestible way for internal and external consumption
 </li>
 <li>
 Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you&rsquo;ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster - help inform these features!
 </li>
 <li>
 Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects
 
 
 
 
 
 </li>
 </ul>
 
 ABOUT YOU:
 
 
 
 <ul>
 <li>
 Technical Chops: You&rsquo;ve received a Bachelor&rsquo;s or Master&rsquo;s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering
 </li>
 <li>
 Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for
 </li>
 <li>
 Demonstrated Curiosity for AI &amp; Voice: You&rsquo;re excited about the potential of Voice AI, and keep up with the latest products in the space. You&rsquo;ve experimented with conversational design or prompt engineering for a school, work or personal project.
 </li>
 <li>
 Analytical Thinking &amp; Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences
 </li>
 <li>
 Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team &amp; other stakeholders in the loop
 </li>
 <li>
 Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. &ldquo;Not my problem&rdquo; isn&rsquo;t in your vocabulary
 </li>
 <li>
 Entrepreneurial DNA: You&rsquo;re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease
 
 
 
 
 
 </li>
 </ul>
 
 AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?
 
 
 
 <ul>
 <li>
 The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience.
 </li>
 <li>
 The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer&rsquo;s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment
 
 
 
 
 
 </li>
 </ul>
 
 BENEFITS/PERKS:
 
 
 
 <ul>
 <li>
 We care about your health!
 </li>
 <li>
 Medical, Dental, and Vision plans - 80% covered by the company
 </li>
 <li>
 Flexible PTO &amp; 11 paid holidays/year
 </li>
 <li>
 We care about future you!
 </li>
 <li>
 401k Plan
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Pre-tax commuter benefits
 </li>
 <li>
 We care about connection!
 </li>
 <li>
 In-office breakfast and snacks daily
 </li>
 <li>
 Happy hours, team outings, &amp; annual off-sites
 </li>
 <li>
 Complete laptop workstation
 </li>
 <li>
 &amp; more to come!
 
 
 
 
 
 </li>
 </ul>
 
 POSITION LOCATION &amp; OFFICE DETAILS:
 
 
 This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and encouraged 5x/week.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.
</div>

AI Product Specialist

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Application deadline: May 14, 2026 
 
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. 
 
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect! 
 
The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist &amp; Partner (ASP) org, which works backwards from our customer&rsquo;s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. 
 
A critical dimension of this role is Customer Data Readiness &mdash; assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect deployments. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business. 
 
Key job responsibilities 
<ul><li>Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans.
</li><li>Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.
</li><li>Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
</li><li>A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries.
</li><li>Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases).
</li><li>Cloud Data Access: Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG).
</li><li>Agentic IDE Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation.
</li><li>Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
</li><li>Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns.
</li></ul> 
A day in the life 
<ul><li>Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration
</li><li>Designing prompt strategies and evaluating model performance across different foundation models
</li><li>Building Lambda functions and API integrations that serve as tools for AI agents
</li><li>Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption
</li><li>Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise
</li><li>Configuring knowledge bases and data connectors for RAG-powered agent responses
</li><li>Running evaluation frameworks to measure AI agent accuracy, latency, and customer satisfaction
</li><li>Conducting architecture reviews and providing prescriptive guidance for production readiness
</li><li>Documenting implementation patterns and contributing to the team's knowledge base
</li></ul> 
About the team 
The Applied AI Solutions Architecture team is part of the AWS Specialist and Partner Organization (ASP). We are the technical bridge between Amazon Connect customers and the service teams building the next generation of AI-powered contact center capabilities. Our team operates at the forefront of agentic AI adoption, helping customers become production-ready with Amazon Connect's Unlimited AI features.
 
 
Diverse Experiences 
 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth 
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing</li><li>Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of distributed systems design and implementation or equivalent</li><li>Knowledge of large scale automation and workflow management or equivalent</li><li>Knowledge of database design and implementation or equivalent</li><li>Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers</li><li>Experience architecting, migrating, transforming or modernizing customer requirements to the cloud</li><li>Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.)</li><li>Hands-on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually 
USA, CO, Denver - 182,800.00 - 247,300.00 USD annually 
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually 
USA, IL, Chicago - 182,800.00 - 247,300.00 USD annually 
USA, NY, New York - 201,000.00 - 272,000.00 USD annually 
USA, VA, Herndon - 182,800.00 - 247,300.00 USD annually 
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually</div>

Principal Applied AI Solutions Architect, Amazon Connect

DataAnnotation

<div>
 We are looking for an AI Content Writing Specialist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of writing, editing, and content development. Other related fields include, but are not limited to: Communications and/or Journalism.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $25-$30+/hr, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Excellent command of grammar, style, and brand voice
 </li>
 <li>
 A current, in progress, or completed Bachelor's is preferred but not required
 </li>
 <li>
 Detail-oriented Excellent command of grammar, style, and brand voice.
 </li>
 <li>
 A current, in progress, or completed Bachelor's is preferred but not required.
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #generalist
</div>

AI Content Writing Specialist

Lakeview Loan Servicing

<div>Overview:
<div>
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.</div><div></div><div> 
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.</div><div></div><div> 
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.</div><div></div><div> 
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.</div><div>
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.</div><div></div><div> 
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.</div>
Responsibilities:

Daily Operations &amp; Team Cadence<ul><li>
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</li><li>
Run a clear rhythm for priorities, standups, demos, stakeholder check-ins, feedback loops, launches, and post-launch follow-through</li><li>
Keep docs, task boards, timelines, status updates, operational checklists, and open questions current so everyone knows what matters and who owns it</li></ul>
Technology Platform Operations &amp; Service Health<ul><li>
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</li><li>
Maintain lightweight dashboards, runbooks, operating checklists, escalation paths, service-review notes, and post-incident action items so platform work stays visible and accountable</li><li>
Help coordinate platform rollouts, issue triage, stakeholder communications, user feedback loops, reliability follow-through, and operational improvements across critical systems</li></ul>
Engineering Leadership Leverage &amp; Special Projects<ul><li>
Partner directly with the Head of Engineering on high-priority AI special projects that need structure, urgency, and follow-through</li><li>
Convert broad goals into plans with owners, milestones, risks, decisions, and next actions</li><li>
Jump into gaps across discovery, demos, rollout coordination, hiring support, vendor sourcing and engagement, talent sourcing, documentation, and stakeholder communication</li></ul>
Product, Domain &amp; Workflow Translation<ul><li>
Learn investment, operational, and technology workflows by working with SMEs, operators, product managers, engineers, and users</li><li>
Turn messy domain context, feedback, edge cases, and constraints into notes, requirements, maps, FAQs, and action plans</li><li>
Highlight where AI, automation, or better workflow design can create leverage for users and the team</li></ul>
Communication &amp; Stakeholder Alignment<ul><li>
Draft crisp briefs, research summaries, roadmap updates, launch notes, recaps, and executive-ready updates</li><li>
Keep stakeholders aligned on priorities, tradeoffs, timelines, ownership, decisions, and follow-through</li><li>
Build lightweight docs, onboarding materials, knowledge hubs, and playbooks that help the team scale</li><li>
Build trust through responsiveness, discretion, judgment, and clear communication</li></ul>
AI-Native Operations &amp; Continuous Improvement<ul><li>
Use modern AI tools and platforms every day to speed up research, synthesis, planning, documentation, analysis, project management, workflow design, and communication</li><li>
Experiment with AI-assisted ways to improve knowledge capture, reporting, process automation, recruiting workflows, service-health visibility, and team operations</li><li>
Identify bottlenecks, manual work, dropped handoffs, and unclear processes; help fix them</li></ul>
Talent Sourcing &amp; Team Buildout<ul><li>
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</li><li>
Support onboarding and team rituals as the AI organization scales, turning repeated questions, handoffs, and processes into clear playbooks</li><li>
Represent the team with professionalism, urgency, and strong written communication in candidate and stakeholder interactions</li></ul>
Culture &amp; Team Building<ul><li>
Contribute to a founding-team culture of ownership, curiosity, urgency, low ego, customer obsession, technical curiosity, and learning</li><li>
Take on unglamorous work when it matters and turn repeated work into scalable systems over time</li><li><div>
</div></li></ul>
Qualifications:
<ul><li>Hunger to learn, high agency, excellent organization, and excellent written and verbal communication skills</li><li>
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</li><li>
Comfort operating in ambiguous environments where priorities change, context is incomplete, and the next step needs to be created</li><li>
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</li><li>
Strong follow-through: you remember details, close loops, keep people accountable, and make sure important work does not get dropped</li><li>
Strong curiosity about AI, product development, engineering, platform operations, financial markets, startup-style execution, complex workflows, and how technology teams build and scale products</li><li>
Strong judgment, discretion, and maturity when working in a regulated, high-stakes environment</li><li>
Ability to work well with technical, product, business, operational, recruiting, and vendor stakeholders</li><li>
Bias toward action and continuous improvement; you are energized by learning quickly, improving systems, and making the team more effective</li></ul> 
Preferred Experience<ul><li>
Exposure to startups, consulting, operations, product, engineering, AI tools, automation, recruiting, team-building, or workflow improvement</li><li>
Experience using AI tools for research, writing, analysis, coding, automation, project management, or workflow acceleration</li><li>
Experience working with operators, domain experts, customers, executives, technical teams, candidates, or external partners</li><li>
Experience organizing teams, programs, labs, communities, side projects, events, operational initiatives, or other complex workstreams</li></ul> 
A note to candidates<div>
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.</div><div></div><div> 
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.</div><div></div><div> 
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.</div><div></div><div> 
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.</div><div></div><div> 
#LI-Remote</div></div>

Chief of Staff, AI Special Projects

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 
 
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 
 
 
 The Role
 
 
 
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 
 
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <ul>
 <li>
 Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
 </li>
 <li>
 Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
 </li>
 <li>
 Own the full lifecycle: build, deploy, monitor, and iterate
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <ul>
 <li>
 Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
 </li>
 <li>
 Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
 </li>
 <li>
 Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <ul>
 <li>
 Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
 </li>
 <li>
 Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
 </li>
 <li>
 Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <ul>
 <li>
 Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
 </li>
 <li>
 Vibe code: move fast, prototype rapidly, validate with real users, and iterate
 </li>
 <li>
 Maintain clean, well-documented codebases so that automations and tools can be extended over time
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <ul>
 <li>
 Build lead enrichment, CRM hygiene, and outbound personalization workflows
 </li>
 <li>
 Create content generation and repurposing pipelines for the marketing team
 </li>
 <li>
 Develop internal tools that give the Sales team faster access to prospect and market data
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
 </li>
 <li>
 Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
 </li>
 <li>
 Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
 </li>
 <li>
 Experience building multi-step AI workflows or agent-based systems
 </li>
 <li>
 Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
 </li>
 <li>
 Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
 </li>
 <li>
 Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
 </li>
 <li>
 Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
 </li>
 <li>
 Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
 </li>
 <li>
 Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
 </li>
 <li>
 Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
 </li>
 <li>
 Understanding of global payroll compliance, tax regulations, or labor laws
 
 
 </li>
 </ul>
 
 How We Will Measure Success
 
 
 
 <ul>
 <li>
 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
 </li>
 <li>
 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
 </li>
 <li>
 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
 
 
 </li>
 </ul>
 
 Why Join Niural
 
 
 
 <ul>
 <li>
 You will build systems that directly impact how a global fintech platform operates and scales
 </li>
 <li>
 You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
 </li>
 <li>
 You will ship constantly and see your work used by real people every day
 </li>
 <li>
 You are joining a team that values speed, ownership, and ambition over process and perfection
 
 
 </li>
 </ul>
</div>

AI Product Operator - Intern

ReadMe

<div>
 
 📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
 
 
 
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 
 
 We&rsquo;re at the forefront of a major shift in developer experience:
 
 
 <ul>
 <li>
 AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
 </li>
 <li>
 At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
 
 
 </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 
 
 🦉 What we do
 
 
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 
 
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 
 
 ✅ What you&rsquo;ll do here
 
 
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 
 
 ReadMe's AI surface spans three bets we're doubling down on:
 
 
 <ul>
 <li>
 Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
 </li>
 <li>
 Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
 </li>
 <li>
 APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
 
 
 </li>
 </ul>
 Day to day, you&rsquo;ll:
 
 
 <ul>
 <li>
 Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
 </li>
 <li>
 Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
 </li>
 <li>
 Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
 </li>
 <li>
 Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
 </li>
 <li>
 Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
 </li>
 <li>
 Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
 </li>
 <li>
 Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
 
 
 </li>
 </ul>
 💙 You'll love this job if you...
 
 
 <ul>
 <li>
 Want to own meaningful systems end-to-end, not just features.
 </li>
 <li>
 Care deeply about developer experience and documentation quality.
 </li>
 <li>
 Enjoy working on problems where AI, APIs, and product design intersect.
 </li>
 <li>
 Have strong instincts about what makes AI actually useful and where the industry is headed.
 
 
 </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
 
 
 <ul>
 <li>
 Experience building with LLMs in production, not just prototypes.
 </li>
 <li>
 Strong JavaScript/TypeScript or Python experience.
 </li>
 <li>
 Experience working with:
 </li>
 <ul>
 <li>
 Embeddings and retrieval systems (RAG).
 </li>
 <li>
 Prompting and structured outputs.
 </li>
 <li>
 Evaluation and iteration of AI systems (quality, latency, cost).
 </li>
 </ul>
 <li>
 Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
 </li>
 <li>
 Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
 </li>
 <li>
 Strong instincts around when to use AI vs. deterministic approaches.
 </li>
 <li>
 Experience improving AI reliability, observability, and production readiness.
 </li>
 <li>
 Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
 
 
 </li>
 </ul>
 🌱 How you'll grow within one month...
 
 
 <ul>
 <li>
 Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
 </li>
 <li>
 Ship meaningful improvements to existing AI features.
 </li>
 <li>
 Get close to real customer workflows and pain points.
 
 
 </li>
 </ul>
 🪴 Within a few months, you'll...
 
 
 <ul>
 <li>
 Own a core part of one of our AI systems.
 </li>
 <li>
 Drive improvements in quality, reliability, and user experience.
 </li>
 <li>
 Contribute to product and technical direction.
 
 
 </li>
 </ul>
 🌳 Within your first year, you'll...
 
 
 <ul>
 <li>
 Be a key driver of AI across the product.
 </li>
 <li>
 Ship systems used daily by thousands of developers and teams.
 </li>
 <li>
 Help define how AI reshapes developer hubs and API workflows.
 
 
 </li>
 </ul>
 🛣️ What's the hiring process like?
 
 
 <ul>
 <li>
 We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
 </li>
 <li>
 If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
 </li>
 <li>
 Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
 </li>
 <li>
 We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
 </li>
 <li>
 Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
 </li>
 <li>
 We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
 
 
 </li>
 </ul>
 
 ✨ Our Benefits Include&hellip;
 
 
 
 <ul>
 <li>
 Unlimited PTO with a three-week minimum. 🏝️
 </li>
 <li>
 Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
 </li>
 <li>
 A One Medical membership. 👨&zwj;⚕️
 </li>
 <li>
 A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
 </li>
 <li>
 One-to-one donation matching of up to $1,000 per year. 💸
 </li>
 <li>
 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
 </li>
 <li>
 Work from home. 🏠
 </li>
 <li>
 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
 </li>
 <li>
 Take a look at our handbook for more information on our benefits! 📘
 
 
 </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 
 
 
 At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
 
 
 
</div>

AI Engineer

Alignerr

<div>
 
 English Audio Transcription Specialist (AI Training)
 
 
 
 
 About The Role
 
 
 
 What if your sharp ear and command of English could directly shape how AI listens to and understands the spoken word? We're looking for English Audio Transcription Specialists in the New York metro area to convert spoken audio into accurate, well-formatted text &mdash; helping AI systems learn to process real human speech with all its accents, nuances, and complexity.
 
 
 This is a fully remote, flexible contract role. No prior transcription or AI experience is required &mdash; just excellent English listening skills, strong attention to detail, and a reliable internet connection.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Listen to audio recordings in English and produce precise, verbatim transcriptions
 </li>
 <li>
 Accurately capture spoken content including natural speech patterns, filler words, and speaker changes where required
 </li>
 <li>
 Apply consistent formatting, punctuation, and spelling conventions according to project guidelines
 </li>
 <li>
 Identify and flag unclear, inaudible, or ambiguous audio segments
 </li>
 <li>
 Handle a diverse range of audio types &mdash; conversations, interviews, lectures, podcasts, customer interactions, and more
 </li>
 <li>
 Review and proofread transcriptions for accuracy, completeness, and adherence to style guides
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Native or near-native fluency in English with excellent listening comprehension
 </li>
 <li>
 Strong written English skills &mdash; confident with grammar, spelling, and punctuation
 </li>
 <li>
 Naturally detail-oriented with a consistent, methodical approach to work
 </li>
 <li>
 Able to follow structured guidelines and apply them accurately at scale
 </li>
 <li>
 Comfortable working with different accents, speaking speeds, and audio quality levels
 </li>
 <li>
 Self-motivated and reliable when working independently
 </li>
 <li>
 No prior transcription, AI, or tech experience required
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in transcription, closed captioning, subtitling, or stenography
 </li>
 <li>
 Familiarity with transcription tools or audio editing software
 </li>
 <li>
 Background in linguistics, journalism, communications, or media production
 </li>
 <li>
 Experience working with varied English dialects and accents (American, British, Australian, Indian, etc.)
 </li>
 <li>
 Fast, accurate typing skills (70+ WPM)
 </li>
 <li>
 Knowledge of specialized vocabulary in fields such as medicine, law, technology, or finance
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Contribute to AI development that directly improves how technology understands human speech
 </li>
 <li>
 Build skills in a high-demand field at the intersection of language and AI
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 
 
 </li>
 </ul>
</div>

English Audio Transcription Specialist

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