Pearl AI

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role We are seeking an AI Prompt Engineer II who combines strategic thinking, scientific expertise, and hands-on building skills. You will join a dynamic, agile team dedicated to designing, testing, and scaling large language model (LLM) prompts that drive impactful user experiences. Leveraging your deep knowledge of Generative AI, you will enhance our AI-powered expert platform, unlocking meaningful business outcomes and shaping how AI understands customers and supports experts. What You’ll Do - Design, build, and develop AI agents - Create complex multi-part prompting systems with parameter optimization and implement advanced prompting techniques - Develop comprehensive evaluation frameworks to measure performance across multiple dimensions, comparing approaches such as retrieval-augmented generation (RAG), fine-tuning, and advanced prompting methodologies - Analyze and optimize LLM performance using A/B testing, usage metrics, and strategic feedback loops - Develop AI-driven workflows that improve user interactions and Customer Care support - Design and refine expert playbooks to enhance knowledge sharing and operational efficiency - Run experiments to validate ideas rapidly and iterate based on performance data and user insights - Collaborate cross-functionally with product managers, engineers, and stakeholders to identify LLM opportunities and translate technical capabilities into business value - Manage stakeholder expectations and communicate complex technical concepts effectively to both technical and non-technical audiences - Implement LLMOps best practices including model governance, lifecycle management, and performance monitoring to ensure production-ready AI systems - Educate and empower internal teams to build better prompts and leverage AI tools effectively What We’re Looking For - Master’s or PhD in Computer Science, Computational Linguistics, Machine Learning, or a related field preferred - Strong proficiency in Python with hands-on experience building and testing complex prompting systems - Deep understanding of LLMs and advanced frameworks, with expertise across multiple LLM vendors and model versions - Proven experience developing and applying evaluation frameworks to test model outputs - Production experience with RAG and fine-tuning models - Demonstrated ability to automate large-scale API interactions and scripting for prompt testing, minimizing manual processes - Experience with LLMOps practices, including model governance, version control, performance monitoring, and lifecycle management - Strong stakeholder management skills and ability to collaborate effectively across technical and business teams - Proven track record of translating complex technical concepts into actionable business insights for diverse audiences - Analytical mindset with experience using Excel, Power BI, or Google Analytics - Solid understanding of NLP techniques - To build better prompts and leverage AI tools effectively - Excellent judgment with the ability to prioritize and independently drive projects forward while managing multiple stakeholder relationships - Experience working in agile, sprint-based development environments; familiarity with tools such as Azure Boards or Asana Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

Enterprise Trainer (Contract; Part-Time) Location United States - Remote Employment Type Part time Location Type Remote Department Customer Success OverviewApplication About Pearl Pearl is shaping the future of dentistry with a suite of AI solutions developed to establish higher standards of quality and care for patients worldwide. Since 2019, our team has engineered FDA-cleared computer vision capabilities for interpretation of 2D and 3D dental imagery — industry-leading capabilities which clinicians, practice owners, labs and insurers use to elevate the efficiency, accuracy and consistency of dental care around the world. Who We’re Looking For We are seeking a customer-centric, energetic, and highly-motivated individual to join our Enterprise Training team. As an Enterprise Trainer, you will play a key role in delivering high-quality training and support to enterprise clients, helping them to optimize the use of our platform and achieve their organizational goals. You will be responsible for developing and facilitating training sessions, creating educational materials, and providing ongoing support to ensure that our clients achieve the highest levels of success with our products. - Become an expert in Pearl’s provider-focused product offerings and educate customers on the use and benefits of our products - Work with customers to ensure they are leveraging Pearl’s suite of tools effectively and finding value in our services - Lead virtual and in-person training sessions, ensuring participants are effectively educated on product features, functionalities, and best practices. - Customize training materials, including presentations, guides, and videos, to align with client-specific use cases. - Build strong relationships with key stakeholders in client organizations to understand their goals and deliver value-driven training. - Conduct regular assessments and evaluations of training effectiveness, adjusting content and delivery methods as needed. - Collaborate with the Customer Success, Product, and Engineering teams to stay informed about new product features and updates. - Develop and maintain a library of self-paced learning resources, such as video tutorials and FAQs, for client reference. - Track and report on training outcomes, client satisfaction, and adoption metrics to management. - Maintain and continue to expand technical product knowledge to remain proficient What You’ll Need to Succeed - 2+ years of experience working in or with dental practices - Ability to read 2D dental radiography - Exceptional public speaking skills both written and verbal - Intermediate computer skills (working with browsers, spreadsheets, and text - documents) - Ability to work with a pipeline of assigned trainings and tasks and complete them in a timely manner - Passion for teaching and helping others succeed, with a focus on client outcomes. - Demonstration of excellent customer service skills - A growth mindset, always looking for opportunities to improve the training process and contribute to the success of the team and the clients. - Ability to be available for 1-hour remote training sessions with 48 hour notice. - Confidently represent Pearl as a product expert during live training sessions, fielding customer questions and objections with clarity and composure - Rapidly learn complex products and workflows and translate them into simple, engaging training experiences relevant to diverse audiences - including clinical, administrative, and leadership roles - Adapt training delivery in real time based on audience knowledge level, engagement, and session dynamics to ensure maximum impact What We Offer - This role is a part-time, contract position - Competitive Compensation Offerings - Ongoing Training and Development Opportunities - Remote Work

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success Why this role exists Pearl is transforming professional services through AI + human expertise. As AI reshapes how products are imagined, built, and delivered, Design must evolve from crafting screens to orchestrating intelligent experiences. We are seeking a Senior Director, Product Design to transform Design for the AI age, elevating taste, redefining the role of designers, and building a practice that combines human judgment with AI leverage to create world-class experiences at unprecedented speed. This leader will define what remains human, what becomes AI-accelerated, and how Pearl delivers intelligent, trustworthy, and emotionally resonant experiences at scale. Your Mandate You’ll modernize how Pearl designs and ships experiences, raising the bar on taste and trust while building an AI-native design practice that increases velocity without sacrificing quality. This is a hands-on leadership role (part creative director, part systems builder, part org multiplier), setting the standards for design while building the systems that scale great design across Pearl. - Transform design into an AI-native practice: define where human judgment matters most and where AI can accelerate workflows from discovery to delivery. - Set the bar for taste and trust: establish a design standard that ensures experiences feel coherent, credible, and distinctly human as we scale with AI. - Build an AI-enabled design system: evolve our system into reusable components + patterns + prompts that scale quality and enable safe creation beyond the design team. - Lead and grow a high-impact team (~20+): coach, develop, and raise the team’s AI fluency while preserving what already makes Pearl design great. - Ground design in real human insight: deepen customer and expert research, leverage AI to surface behavioral patterns and intent, and ensure experiences reflect how people actually think, decide, and act. - Drive experience strategy upstream: strengthen research and system-level experience thinking, and partner across Product, Eng, Content, and ML to deliver outcomes, not just interfaces. The leader we’re looking for This role calls for a rare blend of creative vision, systems thinking, and AI fluency. The right leader will raise the bar for design while building the practices that allow great work to scale. Design Authority & Taste Leadership - You possess exceptional design judgment and set a high bar for clarity, coherence, and usability. You understand what makes experiences feel credible, premium, and human. Systems Thinker & Builder - You design systems, not just screens, building frameworks, tools, and workflows that scale quality and speed. AI-Native Practitioner - You understand how AI changes the design process and can translate emerging capabilities into practical workflows that amplify human judgment. Research-Driven Experience Leader - You believe great design begins with understanding people. You integrate research, behavioral insight, and real-world signals into experience decisions. Experience & Qualifications - 10+ years in product design, experience design, or related leadership roles - Proven leadership of multidisciplinary design teams at scale - Track record elevating design quality and organizational design maturity - Experience building or evolving design systems used across complex products - Deep partnership with Product and Engineering to deliver customer-facing experiences - Demonstrated integration of AI into design workflows, prototyping, or product development to improve velocity, insight, or consistency - Strong judgment in distinguishing where human craft is essential and where AI can accelerate quality and speed What Success Looks Like in 12–24 Months - Design operating model transitioned to an AI-native workflow from discovery through delivery - Measurably improved design velocity without degradation in quality, usability, or customer trust - AI-enabled design system adopted across Product & Engineering with clear governance standards - User research and behavioral data embedded at the core of design decisions, with continuous insight loops informing product evolution - Elevated design maturity across the organization, with cross-functional partners citing Design as a strategic driver of outcomes - Team AI fluency materially increased, with repeatable workflows and playbooks embedded into daily practice Remote From these States: California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin. Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company.) Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role As a Senior Product Manager at Pearl, you will own discovery, strategy, and execution for high-impact products supporting Pearl Enterprise, with direct responsibility for driving revenue outcomes (including Enterprise contracts totaling $2.5M+). This is a hands-on, high-ownership PM role in a fast-moving, ambiguous environment. You will partner closely with Engineering, AI / Innovation (IL), Sales, and cross-functional stakeholders to define priorities, set OKRs, and deliver results at Pearl-speed. Pearl’s product itself is increasingly AI-driven, and while this role does not require you to be an AI engineer, it does require comfort working with AI-powered products, AI prototypes, and AI-enabled teams. What You’ll Do Product Ownership & Execution - Own the end-to-end discovery PM role: problem definition, prioritization, roadmap creation, execution, and delivery. - Partner with IL / AI leaders to define OKRs, priorities, and quarterly roadmaps aligned to Enterprise goals. - Lead agile teams to execute against the roadmap with speed, focus, and accountability. - Own releases and delivery using lean and agile practices, balancing experimentation with execution. Discovery, Data & Decision-Making - Drive discovery through customer research, data analysis, experimentation, and rapid validation. - Define product requirements for MVPs, AI-enabled features, and enhancements. - Use product metrics and insights to inform decisions, measure impact, and iterate quickly. - Operate with a strong data-driven mindset, making clear, timely decisions in ambiguous situations. Cross-Functional Collaboration - Partner closely with B2B sales, Enterprise stakeholders, customers, and partners to identify market problems and opportunities. - Act as a strong cross-functional collaborator, aligning Engineering, AI, Sales, and Leadership. - Clearly communicate the “why,” connect work to outcomes, and ensure focus on the highest-leverage initiatives. What We’re Looking For Experience & Skills - 5+ years of Product Management experience in B2B web or platform products. - Proven experience delivering first-generation or early-stage products. - Comfort working with AI-powered products; experience with GenAI is a strong plus. - Bonus: Ability to build or collaborate on AI prototypes to accelerate discovery. - Strong experience with experimentation, MVP definition, and iterative delivery. Core Traits & Capabilities - Adaptability – Proven success operating in volatile, uncertain, complex, and ambiguous (VUCA) environments. - Efficiency & Pace of Execution – Demonstrated ability to deliver results quickly using standard PM and lean start-up practices (“Pearl-speed”). - Collaboration – Strong track record partnering cross-functionally, especially with B2B sales and Enterprise stakeholders. - High Ownership Mindset – Proactive, accountable, and comfortable operating with minimal oversight. - Data-Driven Decision Making – Uses data, not opinion, to guide priorities and trade-offs. - Quick, Confident Decision-Making – Able to make informed decisions with imperfect information. - Dependability – High follow-through and reliability on commitments. - Strategic Thinking – Sees the big picture, communicates it clearly, and ensures work maximizes impact against OKRs. - Growth Mindset – Open to feedback, continuously improving, and eager to learn. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role As a Analyst, Digital Marketing, you will manage and optimize Google Ads campaigns, analyze performance data, and collaborate with cross-functional teams to drive better ROAS/CPA while maintaining robust tracking and reporting practices. What You’ll Do - Build and optimize Google Ads campaigns, including structure, keyword research, targeting, and ad creatives. - Conduct experiments, analyze segmented performance data, and drive improvements in CTR, conversion rate, ROAS, and CPA. - Monitor daily metrics, identify anomalies, and address performance or tracking issues proactively. - Use Excel and SQL to analyze large datasets and support bid/budget optimization decisions. - Collaborate with Analytics, Product, Engineering, and market teams while ensuring strong tracking, tagging, and measurement hygiene (UTMs, GA4, conversion tracking). What We’re Looking For What We’re Looking For - 5–8 years of experience in performance/search marketing, including 3+ years managing Google Ads campaigns end-to-end. - Strong knowledge of Google Ads fundamentals, bidding strategies, auction dynamics, quality score, and search query analysis. - Data-driven mindset with the ability to define KPIs, analyze trends, and make evidence-based recommendations. - Advanced Excel/Sheets skills and working knowledge of SQL for handling large datasets. - Familiarity with GA/GA4, conversion tracking, and attribution basics. - Clear communicator, comfortable sharing insights with cross-functional teams. - Flexible to attend planned evening IST meetings to overlap with US teams. - Leverages AI for creatives, keyword clustering, anomaly detection, real-time insights, and automated reporting to enhance strategy and efficiency. Good to have - Google Ads Search certified or equivalent practical experience. - Exposure to Microsoft Ads, Display/YouTube, or other paid channels. - Experience with dashboarding tools (Looker Studio, Power BI, Tableau) and/or basic scripting (Python). - Familiar with A/B testing, experimentation frameworks, and statistical fundamentals. - Comfortable using LLM/prompting tools to enhance analysis and reporting productivity (as per policy). Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role We’re looking for an iOS engineer who loves building high-performance, scalable apps and knows Swift inside and out. You’ll design and ship polished UI/UX, own end-to-end delivery, and collaborate across product, Android, backend, and analytics to drive impact. What You’ll Do - Build, debug, and ship high-quality iOS features and apps end-to-end. - Implement modern iOS UI with UIKit and SwiftUI, including animations, transitions, CALayer/CAAnimation. - Apply and advocate for solid architectures (MVP, MVVM, VIPER), choosing the right approach for the job. - Drive quality with automated tests (unit, integration, E2E) and CI/CD pipelines. - Own multi-environment builds, config injection, and App Store releases. - Implement push notifications, deep linking, and platform best practices. - Boost development speed and quality using AI for coding, refactoring, debugging, test generation, and automating repetitive tasks. - Strengthen collaboration and innovation with AI-driven requirement summaries, Android–iOS logic translation, and insights that enhance UX, analytics, and performance. - Translate product UX mocks into performant, maintainable code; estimate and propose pragmatic solutions. - Collaborate with Android to ensure feature parity and translate Android/Kotlin logic to iOS where needed. - Participate in code reviews, mentor teammates, and improve engineering processes and tooling. - Contribute to analytics and A/B testing in high-traffic production environments. What We’re Looking For - 3+ years of professional iOS development in Swift language. - Deep knowledge of UIKit, SwiftUI, iOS UI architecture, animations, and performance tuning. - Strong grasp of MVP/MVVM/VIPER and their tradeoffs. - Proven experience with App Store releases, multi-environment builds, and config injection. - Solid understanding of push notifications, deep linking, and modern iOS capabilities. - Experience with automated testing across layers and CI/CD for iOS. - Ability to solve algorithmic problems and analyze data to inform decisions. - Experience with cross-functional teams, high-traffic apps, analytics, and A/B testing. - Clear communicator who thrives in fast-paced, ambiguous environments; champion of TDD and code quality. - Familiarity with full-stack concepts; experience mentoring; Android/Kotlin literacy. Why You’ll Love It Here At JustAnswer, you’ll build a high-impact iOS app used by millions, applying modern architecture, Swift expertise, and rigorous experimentation in a culture of continuous delivery and deep cross-functional collaboration. You’ll harness AI to ship faster—auto-generate code/tests/docs, improve code reviews and CI/CD, translate Android↔iOS logic, and surface insights that elevate UX and performance. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role As a Senior Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape JustAnswer’s AI-driven capabilities. What You’ll Do - Build, train, and deploy ML models that improve product performance and monetization. - Collaborate with data, product, and engineering teams across multiple internal initiatives. - Design and implement data pipelines for extraction, transformation, and analysis. - Apply statistical and machine learning techniques to real-world business problems. - Work on projects involving LLMs and Generative AI technologies. - Analyze large datasets to identify trends, insights, and optimization opportunities. - Integrate ML models into production systems and monitor their performance. - Communicate findings and recommendations clearly to technical and non-technical stakeholders. - Experiment with emerging AI tools and methodologies to enhance existing workflows. - Ensure data quality, reliability, and scalability in all deliverables. What We’re Looking For - 3+ years of hands-on experience in ML Engineering or Data Science. - 5+ years total experience in software or data engineering. - Strong programming skills in Python. - Proficiency in SQL for data querying and analysis. - Solid understanding of data processing, analysis, and visualization. - Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor). - Ability to build and deploy ML models end-to-end. - Strong analytical and problem-solving mindset. - Experience with .NET for integration work - Upper-intermediate English proficiency (B2 or higher). - Familiarity with Databricks or similar data platforms (nice-to-have). - Exposure to AWS or other cloud-based ML environments (nice-to-have). Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success About the Role We are hiring a dedicated and detail-focused Finance Executive for a 6–8 month contract to manage routine accounting tasks and support the month-end closure cycle. The suitable candidate should possess strong knowledge of core accounting concepts, advanced Excel capabilities, and the ability to perform efficiently in a dynamic, deadline-driven work environment. What You’ll Do - Collect vendor onboarding documents, prepare vendor master details, and obtain approvals - Manage the AP inbox and respond to vendor queries promptly - Maintain accurate and updated vendor records - Post weekly bank entries in Intacct - Perform monthly bank, credit card, and wallet reconciliations - Ensure accurate recording of all financial transactions - Investigate and resolve reconciliation discrepancies promptly - Prepare journal entries (accruals, prepaids, reclassifications) during month-end close - Support ledger reconciliations and other close-related activities - Compile audit documents including invoices, receipts, payment files, and ledgers - Maintain organized documentation to ensure audit readiness - Prepare bi-weekly US payroll workings in spreadsheets and update details in ADP - Use AI tools for reconciliations, audit scheduling, and automating reporting and compliance tasks What We’re Looking For - CA Inter qualification along with a Bachelor’s degree in Commerce, Accounting, or Finance. - 2–3 years of hands-on experience in accounting or related roles. - Sound knowledge of fundamental accounting concepts and standards. - Strong working skills in MS Excel. - Experience in bookkeeping and account reconciliations. - High level of accuracy, attention to detail, and ability to meet deadlines. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

About Us Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values - Data driven: Data decides, not egos - Courageous: We take risks and challenge the status quo - Innovative: We're constantly learning, creating, and adapting - Lean: We focus on customers, using lean testing to learn how to serve them best - Humble: Past success is not a guarantee of future success THE OPPORTUNITY Pearl (the parent company of JustAnswer) is building a category-defining enterprise business at the intersection of AI and professional human expertise. One of our most important bets is AI Human Data Services: Expert data products that accelerate frontier model development - data that goes beyond generic labeling and commodity reinforcement learning through human feedback (RLHF) into high-signal, professional-grade work that materially improves model behavior. AI labs are moving from models that “know things” to models that “do things.” That shift demands training and evaluation data that is harder, longer-horizon, and more domain-specific: PhD-level human evaluations, expert preference selection, verifiers, rubrics, agentic task environments, and multimodal workflows. Pearl is uniquely positioned to win here because we have a large, liquid network of licensed professionals (>20,000 professionals), an operating platform built for high-trust expert work over the last 20 years, and multimodal production capabilities across chat, voice, and computer-use style tasks. WHY THIS ROLE EXISTS We need a AI data service entrepreneur/intraprenuer to discover where we can have maximum product-market fit and then build on early AI Data Services traction to build a durable product line: a repeatable set of data offerings, a world-class quality and evaluation system, and a delivery engine that frontier labs trust with their most important training and evaluation problems. This is not a quota-carrying sales role. It’s a product-and-operations leadership role with deep customer intimacy - owning the end-to-end data product lifecycle from discovery to specification to production to quality to expansion. We believe the ideal leader is someone who has either: Owned procurement / partnerships for custom AI training or evaluation data inside a major AI lab (or equivalent model-building org), or Successfully brought to market high-end custom data programs at a leading data provider (e.g., Scale, Appen, Handshake, or similar), with firsthand experience of what differentiates “elite” data from commodity output YOUR MANDATE Build Pearl’s AI Data Services business into the trusted, go-to partner for frontier labs and AI-native companies that need expert-grade data at speed and scale - without sacrificing rigor, confidentiality, or quality. You will: - Define and productize our AI Data Services portfolio (what we sell, how it’s packaged, how it’s priced, what “done” means). - Build the delivery engine: staffing, workflows, tooling, QA loops, and automation that make elite data repeatable. - Establish Pearl’s quality bar and measurement system: rubrics, verifiers, audits, gold sets, calibration, and continuous performance scoring for experts and outputs. - Own customer outcomes: translate ambiguous research needs into precise task designs and production-ready specs that reliably improve models. - Build data rights and licensing strategy in partnership with Legal: ensure we can responsibly reuse and monetize data across customers when appropriate, while honoring confidentiality, privacy, and contractual commitments. - Create Pearl’s external credibility in expert data: benchmarks, evaluation frameworks, and clearly articulated standards. THE DATA PRODUCTS YOU’LL BUILD (EXAMPLES) This role spans multiple data modalities and program types, including: - Expert Supervised Fine Tuning (SFT) and instruction data for specialized domains. - Preference data / ranking / pairwise comparisons with high-quality rubrics. - RLHF-style programs: verifiers, critiques, and structured feedback loops. - PhD-level and licensed-professional evaluations (truthfulness, reasoning, safety, policy adherence, domain correctness). - “AI stumps” and hard-case datasets designed to expose failure modes. - Agentic task environments and long-horizon workflows (models doing multi-step work, using tools, making decisions). - Multimodal programs across text, voice, and computer-use tasks (screen-based workflows, tool usage, real software interaction, and voice-based reasoning). - Safety, policy and adversarial evaluation programs for high-risk or high-accuracy domains. EXPERIENCE & QUALIFICATIONS - AI data procurement/partnerships at a frontier lab, data product leadership, data operations, ML research operations, or senior roles at an AI data provider delivering custom programs. - Demonstrated experience building or operating high-quality human-data programs (SFT, preference data, evals, verifiers, rubric-driven QA). - Strong technical intuition: comfortable working with ML researchers and engineers on dataset specs, formats, and evaluation methodology (you don’t need to be an ML engineer, but you must be credible). - Strong contract and vendor maturity: familiarity with data rights, licensing, confidentiality constraints, and what “labs-grade” trust requires. - Comfort operating in high-ambiguity, high-velocity environments with lean start-up methods, and clear articulation of what Pearl does better than anyone else. - Smart, fun, get-things-done. Remote From these States California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin. Pay Transparency Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. Employment is with JustAnswer LLC, a Pearl company. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote

Role Description This is a hybrid research, strategy, and business development role working closely with the founder. You will transform complex market signals—regulatory filings, company intelligence, and industry developments—into actionable go-to-market strategies and a qualified pipeline. The work spans regulatory research (e.g., FDA 510k submissions), competitive intelligence, high-touch LinkedIn outreach, and producing structured research documents that the founder uses in customer meetings. You will be an analytical and strategic extension of the founder, testing hypotheses in the real world, closing feedback loops between research and execution, and contributing directly to growth. Over time, the role may expand to more client-facing responsibilities as trust and capability increase. Your Impact - Build a qualified diagnostic company pipeline — 50+ companies with strategic context, regulatory status, and outreach approach in a CRM. - Produce regulatory deep dives — analyses of FDA guidance, EU AI Act, and specific filings to identify actionable opportunities. - Map the competitive landscape — structured competitor maps to sharpen positioning and uncover whitespace. - Draft go-to-market strategy — strategic narratives grounded in research to guide acquisition and investor conversations. - Complete market size analysis — quantitative, evidence-based assessment of the addressable market. - 1–2 years success measures: major strategy decisions, customer wins, and market moves are traceable to your research and recommendations. Core Responsibilities - Company Research & Intelligence — 35% - Conduct deep-dive research on target companies using regulatory filings, product details, and market context. - Build a three-pronged intelligence framework: regulatory, business, and scientific angles. - Use AI tools (Claude / Claude Code) to accelerate research while verifying outputs. - Produce intelligence packages forming the foundation for outreach strategy. - Strategy Development & Synthesis — 25% - Translate research into GTM strategy proposals with clear positioning rationale. - Build and test strategic hypotheses within defined cycles (1–2 weeks). - Produce decision-ready documents: competitor maps, market analyses, GTM outlines, regulatory deep dives. - Integrate real-world feedback into strategy iterations. - Pipeline Building & CRM Management — 20% - Identify and qualify diagnostic AI companies, hospitals, and AI vendors as pipeline targets. - Build and maintain the CRM (currently Google Sheets; potential upgrade to dedicated platform). - Source and curate VC lists aligned with investment thesis. - Targeted Outreach Execution — 15% - Execute high-touch outreach via LinkedIn and email using research-backed approaches. - Test strategic hypotheses with prospects through real conversations. - Document market feedback and refine outreach strategies. - Output Production & Reporting — 5% - Package research and strategy into structured deliverables (e.g., intelligence packages, deep dives). - Prepare pre-meeting materials the founder can use directly in customer conversations. Qualifications - Rigorous logical reasoning with dense regulatory/technical material (e.g., FDA 510k, EU AI Act). - Proactive, hypothesis-driven experimentation — test assumptions in real-world scenarios. - Strong synthesis skills — integrate feedback and translate insights into actionable strategy. - AI-native critical evaluation — fluent with AI tools, verifying outputs and identifying uncertainties. - Low ego / truth-seeking orientation — prioritize correct outcomes over being “right.” - Clear and precise communication — articulate reasoning and decisions effectively. - High initiative and independent thinking — identify flaws and propose better strategies collaboratively. Nice-to-Haves - Background in regulatory, compliance, safety, or evaluations (healthcare or AI preferred). - Experience setting up and managing CRM systems, executing high-touch outreach campaigns. - Familiarity with go-to-market frameworks. - Market sizing and analysis experience. - Exposure to evidence, validation, or evaluation-oriented companies (diagnostic AI, medtech, regtech). Tools Proficiency - Required: Claude / Claude Code, Google Sheets, LinkedIn - Preferred: Perplexity or other AI research tools, CRM platforms (Salesforce, HubSpot, Notion), familiarity with FDA regulatory databases or EU AI Act documentation Benefits - Competitive Salary: Based on experience and skills - Remote Work: Fully remote—work from anywhere - Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency - Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting - Generous PTO: In accordance with company policy - Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees - Direct Mentorship: Guidance from international industry experts - Learning & Development: Ongoing access to resources for professional growth - Global Networking: Connect with professionals worldwide Our Recruitment Process - Application - Screening - Skills Assessment - Topgrading Interview - Client Interview - Job Offer - Client Onboarding Ready to Join Us? If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.