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Job Description About Us Thrive delivers upon the promise of technology by enabling our clients’ digital transformation journeys with best practices on an AI, cybersecurity and cloud focused NextGen managed services platform. Thrive’s culture is powered by diverse talent, big ideas, and a customer-first mindset—and it’s what truly sets us apart. Thrive is built for people who want more than a weekday routine. If you’re hungry to grow, eager to tackle new challenges and ready to drive real impact in a rapidly expanding environment, then welcome to THRIVE! What You’ll Do The AI Solutions Consultant is a senior, client-facing AI Subject Matter Expert (SME) responsible for influencing artificial intelligence strategy and technology decisions throughout the sales lifecycle. Serving as a trusted advisor, this role partners closely with Sales Executives once discovery is initiated, bringing deep AI expertise to validate requirements, shape solutions, and articulate business-aligned AI strategies. The ideal candidate brings a strong passion for applied AI and recognized thought leadership, guiding buying conversations and shaping how organizations think about AI adoption, automation, data-driven decision-making, and responsible AI. This role plays a critical part in translating AI capabilities into measurable business outcomes. * Leverage deep AI expertise to validate client requirements, design tailored AI and machine learning solutions, and address technical objections, directly contributing to higher sales win rates. * Act as a proactive AI subject matter expert supporting sales executives during discovery, solution design, and validation, accelerating deal cycles and improving buyer confidence. * Architect and position AI solutions across use cases such as intelligent automation, predictive analytics, generative AI, conversational AI, and decision support systems. * Clearly articulate AI value propositions by translating complex technical concepts (models, data pipelines, GenAI architectures) into business outcomes such as efficiency, revenue growth, cost reduction, and competitive advantage. * Guide customers on AI readiness, including data strategy, governance, security, privacy, and ethical AI considerations. * Collaborate with internal product, engineering, and delivery teams to refine AI offerings, ensure accurate positioning, and provide strategic input into AI service roadmaps. * Represent Thrive externally at industry events, webinars, and client-facing initiatives, establishing credibility and thought leadership in AI and emerging technologies. * Mentor and enable sales and technical teams on AI positioning, messaging, and best practices to strengthen internal expertise and drive deal success. Skills You Bring * 2+ years of experience in AI, data science, machine learning, analytics, or AI-focused consulting/pre-sales roles supporting complex solution sales. * Experience with consulting firms, MSPs, or technology service providers delivering AI-enabled solutions preferred. * Deep understanding of AI and ML concepts, including supervised and unsupervised learning, deep learning, NLP, computer vision, and generative AI architectures (LLMs, RAG, fine-tuning). * Hands-on familiarity with AI platforms and ecosystems such as OpenAI, Azure AI, AWS AI/ML, Google Vertex AI, or similar. * Strong understanding of data pipelines, feature engineering, model lifecycle management, and MLOps practices. * Proven ability to accelerate deal cycles by providing actionable AI guidance during discovery and solution validation. * Expertise in translating AI capabilities into business impact, ROI, and measurable success metrics for executive and technical stakeholders. * Exceptional relationship-building and collaboration skills with internal teams and external customers. * Strategic thinking with the ability to shape AI roadmaps aligned to client objectives and maturity levels. * Ability to mentor and guide sales and technical teams on AI positioning, messaging, and responsible AI practices. * Comfort operating in fast-moving, ambiguous, and rapidly evolving AI and technology environments. How We Will Fuel Your Impact as an AI Subject Matter Expert * A real AI platform to shape and sell – Thrive’s rapidly evolving AI services portfolio (GenAI, automation, analytics, and AI-enabled managed services) gives you meaningful, production-ready solutions to architect, position, and influence — not slideware. * Executive-level credibility out of the gate – Thrive’s strong reputation as a trusted services provider opens doors at the executive level, allowing you to lead AI strategy conversations with authority and accelerate customer confidence. * Deep cross-functional support – You’ll partner with Sales Executives, engineers, architects, and delivery teams who value SME leadership and execution, enabling you to focus on strategy, solution design, and deal influence. * A front-row seat to AI innovation – From emerging GenAI use cases to applied AI at scale, you’ll help shape offerings, influence roadmaps, and stay hands-on with cutting-edge technologies that actually reach customers. * A platform to build your AI thought leadership – Thrive actively supports speaking engagements, webinars, content creation, and customer-facing initiatives, giving you visibility and a voice in how organizations adopt and operationalize AI. . 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Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. PolyAI is seeking a Partner Solutions Engineer to serve as the technical backbone of our Alliances organization. This role sits at the intersection of partner enablement, customer value delivery, and integration architecture. You will support Systems Integrators in deploying PolyAI into enterprise environments, help ISV partners integrate PolyAI into their products, guide SI partners in building proprietary IP around our technology, and ensure that customers realize the full value of PolyAI through partner-led engagements. This role also carries a forward-looking mandate: you will lead the adoption of AI tooling and automation across the Alliances and broader GTM organization, identifying opportunities to use platforms like Claude and other AI tools to make internal workflows more efficient and to embed AI-driven practices into partner deployment processes. You will report to the VP of Alliances. What You'll Do:SI Deployment Support & Technical Oversight • Serve as the primary technical resource for SI partners deploying PolyAI into enterprise customer environments — providing architectural guidance, integration design review, and escalation support, • Ensure SI-led deployments meet PolyAI's quality standards for telephony integration (SIP/PSTN), CCaaS platform connectivity (Genesys, NICE, Five9), CRM integration (Salesforce, Dynamics 365), and back-office API interconnection, • Develop and maintain technical enablement materials, reference architectures, and deployment playbooks that allow SI partners to execute independently at increasing scale, • Design and deliver technical onboarding, workshops, and certification programs for SI engineering teamsISV Integration & Technical Partnerships, • Support ISV partners in integrating PolyAI's voice AI capabilities into their own products — scoping integration requirements, advising on architecture, and guiding partners through development to production, • Work with PolyAI's Product and Engineering teams to ensure ISV integration requirements are reflected in API design, documentation, and roadmap priorities, • Help ISV partners realize maximum value from PolyAI by designing integration patterns that deliver compelling end-customer experiences and unlock new revenue opportunities for the ISVIP Development for SI Partners, • Collaborate with SI partners to design and build proprietary accelerators, vertical solution packages, and reusable integration templates on top of PolyAI's platform, • Provide technical architecture guidance that enables SIs to create differentiated, repeatable offerings — such as industry-specific conversation flows, pre-wired EHR or PMS integrations, and analytics dashboards — that they can take to market as their own IP, • Ensure SI-built IP meets PolyAI's technical standards and integrates cleanly with the core platformCustomer Value Realization Through Partners, • Act as a technical advisor to ensure enterprise customers achieve maximum value from PolyAI deployments delivered through SI partners — reviewing solution designs, identifying optimization opportunities, and supporting post-deployment performance tuning, • Bridge the gap between PolyAI's product capabilities and partner delivery execution, ensuring that what gets deployed in the field reflects the full potential of the platform, • Gather technical feedback from partner-led deployments and channel it to PolyAI's Product and Engineering teams to drive continuous product improvementAI Tooling & Workflow Automation, • Lead the adoption of AI tools and automation platforms across the Alliances and GTM organization — identifying use cases where tools like Claude, OpenClaw, and other AI platforms can streamline internal workflows such as partner enablement, deal support, content creation, and pipeline management, • Embed AI-driven practices into partner deployment processes — exploring how AI can accelerate conversation design, integration testing, QA, and post-deployment analytics, • Serve as the internal champion for practical AI adoption, building lightweight proofs of concept and rolling out tooling that the team can use immediatelyThe Ideal Candidate, • 5–7 years of experience in solutions engineering, partner engineering, sales engineering, or technical consulting — ideally in enterprise SaaS, contact center, voice AI, or CX technology environments, • Strong technical architecture skills: you can design integration solutions across telephony, CCaaS, CRM, and API-based systems, review partner solution designs, and provide credible technical guidance without needing to write production code yourself, • Willingness and ability to roll up your sleeves when needed — comfortable working with APIs, scripting, and troubleshooting integration issues alongside partner engineering teams, • Experience enabling technical partners: you have built enablement programs, reference architectures, or certification curricula that allowed external engineering teams to deploy or integrate a technology platform independently, • Familiarity with AI and voice technologies — conversational AI, speech recognition, NLP/NLU, large language models, or contact center automation, • Genuine enthusiasm for AI tooling and automation — you actively use tools like Claude, ChatGPT, or similar platforms in your own work and can see how they apply to team-level workflow optimization, • Strong communication skills: you can translate complex technical concepts for non-technical stakeholders and present credibly to both partner engineering teams and executive leadership, • Self-directed and comfortable working across multiple workstreams simultaneously in a fast-paced, high-growth environmentWhat Will Make You Stand Out, • Direct experience in contact center or voice AI technology — working with platforms like Genesys, NICE, Five9, Amazon Connect, Twilio, or similar, • Background supporting channel partners or systems integrators in deploying enterprise software — not just direct customer implementations, • Experience helping partners build IP, solutions, or practices around a technology platform, • Hands-on experience with AI/ML tooling, prompt engineering, or building automation workflows using AI platforms, • Familiarity with vertical-specific systems: healthcare (EHR, HIPAA), hospitality (PMS, loyalty platforms), or financial services (PCI-DSS, core banking) In addition to salary, this position includes equity in the business, giving you the opportunity to share in the company's long-term success. Benefits 💰 Participation in the company's employee share options plan 🏥 100% of Single Cost (employee) and 70% of Dependent for medical, dental & vision 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description Do you love building the systems and insights that help high-performing teams run? Are you energized by sitting at the center of a business - connecting the dots across sales, customers, and operations to drive smarter decisions and faster execution? Rockbot is building the future of out-of-home media, and we need the operational horsepower to match. As our Revenue Operations Manager, you'll sit at the center of our revenue engine, serving as a shared service and strategic partner to every team that touches the customer lifecycle. You'll join our newly formed Business Systems function alongside our GTM Systems Engineering team, owning the analytical and operational layer that keeps our commercial and customer organizations aligned, efficient, and moving. This role spans the full revenue journey: from pipeline and new business through order management, onboarding, customer success, support, renewals, and expansion. You'll align Marketing, Sales, Customer Operations, Order Management, Customer Success, and Support through strong data infrastructure, reporting, and automation. We're looking for someone who thrives at the intersection of people, process, and technology, and who is excited about how AI is transforming revenue operations to enable faster decision-making and more scalable execution. You will: Revenue Operations: Full Commercial & Customer Lifecycle • Own and optimize revenue operations across the full customer lifecycle, from lead generation and sales through onboarding, customer success, and renewals, aligning systems, data, and workflows for scalability and efficiency., • Lead delivery of data for revenue forecasting, reporting, and performance analytics, delivering clear visibility into pipeline health, bookings, expansion, and retention while equipping leadership with actionable insights for decision-making., • Design and scale cross-functional operational infrastructure across Sales, Marketing, Customer Operations, Customer Success, Support, and Order Management, ensuring seamless processes, system integrations, and data flow across teams., • Serve as a shared services partner to all commercial and customer-facing teams driving operational excellence across deal desk, quote-to-cash, and customer lifecycle processes, identifying automation opportunities and leveraging data and AI-driven insights to improve deal velocity, expansion opportunities, operational efficiency, and overall commercial performance., • Evaluate, implement, and manage AI-powered revenue tools across the GTM and customer stack, including conversational intelligence (e.g., Gong), AI forecasting (e.g., Clari, SFDC Advanced Forecasting), prospecting/enrichment automation (e.g., UserGems, ZoomInfo) to improve deal execution and customer health visibility., • Build AI-driven workflow automations that reduce manual overhead and improve operational discipline across commercial and customer teams (e.g., lead routing, pipeline hygiene, renewal risk signals, escalation triggers, and forecast rollups)., • Own GTM and customer data intelligence, integrating intent data, enrichment, product usage signals, and AI-scored insights to prioritize pipeline, expansion, and retention opportunities., • Leverage AI copilots and agents to enhance analysis, surfacing patterns in pipeline performance, churn risk, and expansion signals that inform strategic decision-making., • Serve as the business owner and power user of Salesforce, partnering with GTM Systems Engineering on administration, system enhancements, and technical development., • Translate commercial and customer requirements into clear system solutions, defining process design, data structures, and reporting needs for the Business Systems team., • Conduct user acceptance testing (UAT) and business validation for Salesforce enhancements to ensure solutions meet operational needs across GTM and customer teams., • Maintain documentation for key business processes, data definitions, and reporting frameworks to ensure scalability, transparency, and cross-functional alignment., • 4+ years of experience in Revenue Operations, preferably at a high-growth SaaS company, with exposure to both pre- and post-sale operations (Sales, CS, Support, or Order Management)., • Demonstrated experience working with AI-powered GTM tools (e.g., Gong, Clari, Clay, ZoomInfo, Outreach/Salesloft, or equivalents)., • Proven ability to leverage AI tools and automation platforms (e.g., Workato, Zapier, n8n, or Salesforce Flow/Agentforce) to build or improve operational workflows without heavy engineering support., • Working knowledge of prompt engineering - ability to craft effective inputs for LLM-based tools to generate analysis, reports, playbooks, or content., • 2+ years of Salesforce experience as a power user or business-side owner, with ability to write reports, manage views, and partner effectively with technical admins (declarative development experience a plus, but not the focus of this role)., • Strong expertise in forecasting, reporting, and analytics across the full revenue lifecycle (pipeline, bookings, renewals, NRR/GRR), with proficiency in BI tools such as Tableau, Looker, Power BI, Einstein Analytics, or Hex., • Deep knowledge of Sales Cloud and the broader GTM and customer tech stack., • Experience managing and evaluating 3rd-party SaaS tool integrations., • Strong analytical and problem-solving skills, with a structured, data-driven approach., • Excellent communication skills, with the ability to partner with executives and cross-functional teams spanning both commercial and customer-facing functions., • Experience leading change management initiatives and enabling teams on new tools and processes., • Strong project management skills, including experience managing system implementations and cross-functional workstreams., • Salesforce Advanced Administrator or Einstein Analytics certification., • Hands-on experience with agentic AI workflows - building multi-step AI automations or agent sequences using tools like n8n, Relevance AI, or similar., • Experience with AI-assisted forecasting platforms (Clari, Boostup, Aviso, or similar)., • Familiarity with data enrichment and intent platforms (ZoomInfo, 6sense, Demandbase, Bombora)., • Experience supporting post-sale operations such as Customer Success platforms (Gainsight, Totango, ChurnZero), support tooling (Zendesk), or order management/fulfillment workflows., • Experience with revenue data infrastructure tools such as Snowflake, Fivetran, or dbt (conceptual understanding sufficient)., • Familiarity with JIRA, Gearset, or other DevOps tools for cross-functional project tracking. Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable. From independent local businesses to large national brands - across nearly every industry, including restaurants, bars, retailers, and more, Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information visit . Compensation: Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. The base compensation band for this role is $100,000 - $130,000 plus equity and benefits for all team members. Our Values: • Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better., • Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships., • Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The "Why" and "How" always matters., • Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions., • Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.

Avoca is transforming how home service companies engage with their customers.Our AI-powered conversational agents handle every high-value inbound call, including booking jobs, qualifying leads, and driving higher revenueall at a speed and consistency unmatched by human call centers.We've expanded to

Job Description Kasisto is seeking a skilled and versatile Technical Project Manager to work with customers on the implementation of agentic applications for financial services. This role will include extensive customer communications as well as development of tools to accelerate implementation and integration with customer systems as part of the end-to-end production solution. This full time position can be based in our New York City office or fully remote. We will consider only candidates who reside in New York, New Jersey, Massachusetts, Georgia, or Texas. Key Responsibilities • Coordinate project activities from initial customer kick-off through successful production go-live and beyond., • Act as the primary liaison between the customer and Kasisto., • Participate in the discovery process with customers to capture their technical requirements and business objectives., • Identify project risks and mitigation options., • Drive consensus with the customer on project plans and timeframe., • Participate in project-specific development activities, either as the primary developer or contributing to a team effort., • Assist with validation of the complete solution in development, staging, and production environments., • Monitor and optimize deployments in response to evolving business needs., • Create and maintain the documentation archive specific to each implementation. Required Skills, • At least 5 years of hands-on experience in project management, preferably in the financial services industry., • Experience implementing customer service automation, preferably solutions incorporating AI and ideally agentic AI., • Working knowledge of the regulatory, security, and governance needs of financial institutions., • Strong ability to communicate clearly with technical and non-technical stakeholders from the trenches to the C-suite., • General knowledge of Java or Python sufficient for building, enhancing, and debugging proprietary tools., • Comfortable with solving problems in a complex and ambiguous context., • Willingness to "wear many hats" and "roll up your sleeves" as is common in a fast-paced, nimble company such as ours., • Bachelor's degree in Computer Science, Engineering, or a related field.Desired Skills, • Proficiency with AWS and Azure environments., • Capable of building production-ready scripts or code for data manipulation and API integration, either directly or using AI tools., • Experience with banking platforms such as Candescent, Q2, FIS, and Jack Henry., • Familiarity with voice systems and modern telephony., • Understanding of contact center architecture and operations., • Conversational Spanish fluency, ideally as a native speaker.What We Offer, • Base salary of $110,000 to $130,000, commensurate with experience., • Comprehensive benefits package., • Collaborative work environment within a small team focused on delivery projects.

Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. PolyAI is seeking a Senior Manager, Systems Integration Partnerships to build, manage, and scale our systems integrator ecosystem. This role owns the full lifecycle of SI relationships — from identifying and recruiting the right partners, to enabling their technical and sales teams, to overseeing joint customer deployments, to helping SIs build proprietary IP around PolyAI's platform and take it to market. You will manage a portfolio of approximately 20 SI partners spanning global consultancies, mid-market integrators, and vertical specialists across healthcare, hospitality, and financial services. This is a hands-on role that requires both technical depth — you need to understand how PolyAI deploys into enterprise contact center environments — and business development instincts to structure partnerships that drive mutual revenue growth. You will report to the VP of Alliances. What You'll DoPartner Ecosystem Development • Identify, recruit, and onboard systems integrators aligned to PolyAI's priority verticals: healthcare, hospitality, and financial services, • Develop and execute joint business plans with each SI partner, including co-sell motions, revenue targets, and account mapping, • Build multi-threaded relationships across SI organizations — from practice leads and delivery teams to executive sponsorsTechnical Enablement & Deployment Oversight, • Oversee SI-led customer deployments to ensure quality, timeline adherence, and successful go-live outcomes, • Work with PolyAI's Solutions Engineering team to build certification programs, sandbox environments, and technical enablement materials for SI partners, • Understand PolyAI's integration architecture — SIP/PSTN telephony, CCaaS platforms (Genesys, NICE, Five9), CRM systems (Salesforce, Dynamics 365), and back-office APIs — well enough to guide partner delivery teams and troubleshoot escalationsIP Development & GTM, • Help SI partners develop proprietary accelerators, vertical solution packages, and reusable integration templates built on PolyAI's platform, • Collaborate with partners on go-to-market strategies for their PolyAI-powered offerings, including joint case studies, co-marketing campaigns, and event participation, • Position PolyAI as a platform SIs can build a practice around — not just a product they deployPerformance Management & Cross-Functional Alignment, • Track partner-sourced pipeline, influenced revenue, deployment velocity, and customer time to value through partners across the portfolio, • Run quarterly business reviews with SI partners and internal stakeholders, • Align closely with PolyAI's direct sales team, Solutions Engineering, Product, and Marketing to ensure SI activity reinforces the overall go-to-market strategyThe Ideal Candidate, • 5–7 years of experience in systems integration, channel partnerships, or technical alliances — ideally with time spent both at an SI (delivery side) and at a technology vendor (partner management side), • Technical fluency in enterprise contact center architecture: telephony, CCaaS, CRM integrations, and API-based system interconnection. You don't need to write code, but you need to hold your own in a technical deployment review, • Experience managing a portfolio of 15–25 SI or channel partners with measurable revenue impact, • Track record of enabling partners to build IP, solutions, or practices around a technology platform, • Direct experience in at least one of PolyAI's target verticals: healthcare, hospitality, or financial services, • Strong business development instincts — comfortable negotiating partnership terms, structuring co-sell agreements, and presenting to SI executive leadership, • Highly organized with strong CRM discipline (Salesforce preferred), • Self-starter who operates well in a fast-paced, high-growth environment with limited playbook — you'll be building this function, not inheriting itWhat Will Make You Stand Out, • Experience with conversational AI, voice AI, or contact center automation technologies, • Existing relationships with SI practice leads at firms like Accenture, Slalom, Cognizant, Deloitte, or mid-market integrators in the CX space, • Background in deploying or integrating with platforms like Genesys, NICE, Salesforce Service Cloud Voice, or Amazon Connect In addition to salary, this position includes equity in the business, giving you the opportunity to share in the company's long-term success. Benefits 💰 Participation in the company's employee share options plan 🏥 100% of Single Cost (employee) and 70% of Dependent for medical, dental & vision 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. PolyAI is seeking a Senior Manager of Private Equity and Venture Capital Partnerships to build and lead our strategic partnerships with Private Equity firms, Venture Capital firms, Growth Equity investors, and accelerators. This is a greenfield role — you will be responsible for creating PolyAI's PE/VC partner program from the ground up, developing the strategy, recruiting partners, and driving measurable revenue through portfolio company adoption of PolyAI's voice AI platform. The ideal candidate has direct experience working within the PE/VC ecosystem — either at a fund or by managing partnerships with investment firms in a SaaS or technology vendor context. You understand how value creation teams operate, how portfolio companies make technology decisions, and how to position a platform like PolyAI as a strategic lever across a portfolio. This role carries a quota and reports to the VP of Alliances. What You'll Do • Build PolyAI's PE and VC partnership program from scratch — defining the partner strategy, target firm profile, engagement model, incentive structures, and go-to-market approach, • Identify, prospect, and recruit high-potential PE, VC, Growth Equity, and accelerator partners, building long-term relationships with GTM leaders, value creation teams, and operating partners, • Drive portfolio company pipeline and revenue by positioning PolyAI as a preferred technology partner across partner portfolios, converting partner relationships into qualified opportunities and closed business, • Develop and execute joint go-to-market initiatives with partners — including co-branded campaigns, partner events, webinars, and conference activations targeting the investment community, • Serve as the primary point of contact between PolyAI and PE/VC stakeholders, aligning partnership objectives with PolyAI's strategic goals and ensuring partners see clear, measurable value from the relationship, • Manage and grow existing partner relationships, maintaining regular engagement cadences and ensuring continued expansion across portfolio accounts, • Collaborate cross-functionally with Sales, Marketing, and Customer Success to ensure partner-sourced opportunities are supported through the full customer lifecycle, • Track and report on partnership performance metrics — including partner-sourced pipeline, revenue, portfolio company adoption, and partner engagement — with full accountability to quota, • Represent PolyAI at industry events, conferences, and networking functions relevant to the PE and VC communitiesThe Ideal Candidate, • 6–8+ years of experience in partnership management, business development, or investment relations — with direct exposure to the Private Equity and/or Venture Capital ecosystem, • Proven experience working within a PE or VC firm, or managing partnerships and business development with PE/VC firms in a technology or SaaS company, • Track record of building and executing partnership strategies that drive measurable pipeline and revenue outcomes, • Strong understanding of investment models, portfolio structures, value creation frameworks, and how technology drives operational improvement in PE/VC-backed companies, • Exceptional communication, presentation, and relationship-building skills at the executive level — comfortable engaging with Managing Directors, Operating Partners, and C-suite portfolio company leaders, • Highly organized, strategic, and capable of managing multiple complex initiatives simultaneously in a fast-paced, high-growth environment, • Self-directed and entrepreneurial — you thrive when building something new and don't need a playbook to get startedWhat Will Make You Stand Out, • Experience in the SaaS, Revenue Operations, contact center, or B2B software industries, • Established network within the Private Equity and Venture Capital ecosystem — particularly among firms with portfolio companies in healthcare, hospitality, or financial services, • Familiarity with CRM and revenue technologies (e.g., Salesforce, HubSpot, CCaaS platforms, CPQ, or CLM solutions), • Experience building a partner program from scratch at a high-growth startup In addition to salary, this position includes equity in the business, giving you the opportunity to share in the company's long-term success. Benefits 💰 Participation in the company's employee share options plan 🏥 100% of Single Cost (employee) and 70% of Dependent for medical, dental & vision 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description Rezolve AI is a global conversational AI technology company operating globally and growing rapidly through acquisitions. As part of this strategy, the company is integrating acquired companies into a unified financial reporting environment.We are hiring a Technical Financial Program Manager to own and deliver finance systems integrations, with a primary focus on NetSuite, Certinia (FinancialForce), and US GAAP–compliant reporting.This role sits at the intersection of finance, systems, and M&A integration and is critical to audit readiness and scalable financial operations. Role OverviewYou will own end-to-end financial integrations for acquired entities, ensuring accurate, timely, and audit-ready migration of financial data and processes into Rezolve AI’s core finance systems.This is not a traditional accounting role. It is a delivery-oriented systems and integration leadership role with deep accounting fluency. Key ResponsibilitiesLead post-acquisition financial systems integration, including:Migration of historical and current financial data into NetSuiteIntegration or retirement of legacy finance systemsAlignment of acquired entities to Rezolve AI’s chart of accounts and reporting standardsOversee the convergence of multiple NetSuite licenses into a unified instanceOwn trial balance mapping, data validation, reconciliations, and cutover planningEnsure acquired entities meet US GAAP reporting requirements and audit expectationsPartner with Finance, IT, external auditors, and acquired company finance teams to:Standardize close processes (month-end, quarter-end, year-end)Implement appropriate financial controls and documentationManage integration timelines, risks, dependencies, and stakeholder communicationServe as the single accountable owner for financial integration workstreams during M&A Required Experience7+ years experience in financial systems, integrations, or finance transformationDeep, hands-on experience with NetSuite (multi-entity, consolidations, reporting)Strong working knowledge of US GAAP and audit requirementsProven experience integrating acquired companies’ financial data and processesDemonstrated ability to manage complex, cross-functional programs end to endComfortable working directly with finance teams, auditors, and technical partnersTrack record of operating in complex, matrixed environments spread across time zones Strongly Preferred (but not required)Experience with Certinia (FinancialForce)Prior M&A integration or carve-out experienceBackground in finance systems consulting, ERP implementations, or internal transformation teamsAccounting qualification (CPA, ACA, ACCA) — nice to have, not required What Success Looks LikeAcquired entities are live in NetSuite on scheduleFinancial data is accurate, reconciled, and audit-readyFinance teams operate on standardized processesAudits proceed without integration-related issuesRezolve AI scales acquisitions without rebuilding finance each time 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.

Job DescriptionPeople & Operations Associate Manhattan, New York On Target First-Year Earnings: $150,000 ($110k base + $40k uncapped bonus) Meaningful early equity at our ground-floor valuation with >100x upside potential In office with flexible remote days About Aurora Aurora is the travel & lifestyle management operating system for the world’s highest-performance founders, athletes, and family offices. Backed by the most successful founder in the space ever. Our mobile app empowers ultra-high-performance individuals and their teams to master their relationships, exploration, and longevity across five lifestyle categories: travel, dining, experiences, luxury goods, and longevity. To date, we have: • Raised $5M from Tier-1 investors and operators, including the founder of Cleo, Quadpay, early investors in Supercell and Deliveroo, the President of VistaJet, and tier-1 athletes including Kevin Love and Kyle Kuzma, • Achieved industry-leading engagement among paying members, with a large waitlist seeking access, • Built a proactive, seamless, conversational product frequently described as “magic” by our members The Aurora People & Operations Associate What if you could define the high-performance culture for the team setting a new standard for high-performance living? Aurora is building a new category: an AI-native lifestyle operating system for the world’s highest-performing individuals. To do that, we’re assembling an equally exceptional internal team: small, elite, and obsessed with excellence. We’re now hiring our first People & Operations Associate to work directly alongside Aurora’s COO. This is a rare, ground-floor opportunity to embed a high-performance culture, shaping how Aurora hires, operates, and performs as we scale. The role reports directly to Aurora’s Co-Founder & COO and has clear potential to grow rapidly into a leadership position spanning Operations and People. Requirements Key Responsibilities • Own Aurora’s people operations and internal infrastructure end to end, spanning performance management, HR systems, hardware and tools., • Manage Aurora’s performance management system, including scorecards, reviews, and tracking that give founders and managers clear, real-time visibility., • Foster an engaging, high-trust team culture, owning initiatives such as milestone recognition, internal rituals, and programs that strengthen connection and morale., • Partner directly with the founders on execution, owning cross-functional special projects such as team offsites, strategy sessions, internal planning cycles, and ad hoc operational initiatives., • Operate Aurora’s hiring and onboarding processes, coordinating with function leads to establish hiring pipelines, assessment mechanics, and interview flow, and ensuring seamless employee onboarding., • Run core finance-adjacent people operations, including expense management, policy adherence, and early flagging of anomalies or inefficiencies. Who You Are You’re early in your career (~3–8 years of experience) and have operated inside a professional, high-expectation environment. Your spikes: • Exceptionally organized. You’re borderline obsessive about order, clarity, and follow-through. You take pride in building systems that run cleanly and reliably., • Emotionally intelligent. You understand individual needs and team dynamics, and you believe strong culture is built through clear expectations, consistent standards, and accountability., • Willing to roll up your sleeves. You’re comfortable jumping between strategic work and hands-on execution, and you take real ownership of whatever needs to get done to keep the team moving., • Comfortable with chaos. You can prioritize and re-prioritize quickly in an early-stage environment where requirements shift and ambiguity is constant., • Competitive salary with uncapped performance-based bonus, • Founding stock options package, • Flexible remote days, • Lifestyle access perks and access to exclusive events & Aurora services, • Whoop or Oura Ring on us, • $2,000 annual education budget, • Longevity subscription, • Whatever tech you need to do your best work, • Generous parental leave, • Comprehensive health benefits, with 90% coverage, including dental and vision

Job DescriptionAbout Monstro Monstro is an AI-native fintech platform reimagining how people and institutions manage money. We're building a modern foundation for financial decision-making—combining intelligence, automation, and elegant design to help users make smarter choices with confidence. Our team includes experienced builders from leading fintech, wealth management, and technology companies, united by a shared goal: to create a category-defining product that transforms how financial insight is delivered and acted on. About the Role We're looking for a Senior AI Engineer who is, first and foremost, a strong software engineer—someone who writes clean, well-tested, production-grade code and brings the same engineering rigor you'd expect from any senior engineer on our team. On top of that foundation, you'll bring deep expertise in AI systems: building agentic workflows, deploying both commercial and open-source models, and designing intelligent features that work reliably at scale. You'll build the AI-powered capabilities at the core of our platform—systems that can reason, plan, and act on behalf of users while remaining trustworthy, explainable, and aligned with user intent. Because we deploy within our partners' infrastructure, you'll work with both commercial model APIs (such as Anthropic's Claude) and self-hosted open-weight models, choosing the right tool for each use case based on performance, cost, security, and deployment constraints. What You'll Do Build Production Software Write clean, maintainable, well-tested code. Design APIs, services, and data models with the same rigor expected of any senior engineer. Participate in code reviews, contribute to architecture decisions, and uphold engineering best practices across the codebase. You'll own features end-to-end—from design through deployment and monitoring. Design and Build Agentic AI Systems Design and implement autonomous AI agents with planning, memory, and tool-use capabilities. Build orchestration layers that coordinate multi-step agent workflows, manage conversational context, and handle fallback behaviors gracefully. Integrate both commercial model APIs and self-hosted open-weight models depending on the requirements of each use case. Deploy and Operate AI Models Deploy and manage self-hosted open-weight LLMs within secure cloud environments. Optimize inference performance through quantization, batching strategies, and efficient serving frameworks (vLLM, TGI, or similar). Integrate commercial model APIs (Anthropic, OpenAI, etc.) where appropriate, managing cost, latency, and reliability. Build systems that can operate in environments with limited or no external network access. Build RAG & Knowledge Systems Design retrieval-augmented generation pipelines that ground AI responses in authoritative, up-to-date information. Develop chunking, indexing, and retrieval strategies optimized for financial content. Integrate AI systems with structured knowledge bases and real-time data sources. Ensure AI Quality and Safety Develop evaluation frameworks that measure reliability, consistency, and safety—not just accuracy. Build automated testing pipelines for AI systems, including regression testing, adversarial testing, and edge case detection. Implement guardrails that prevent harmful, biased, or off-topic outputs. Design transparency mechanisms and audit trails that support compliance and debugging. Adapt and Fine-Tune Models Adapt open-weight foundation models for domain-specific tasks using techniques like instruction tuning, LoRA, QLoRA, and parameter-efficient fine-tuning. Implement prompt engineering strategies and evaluate their effectiveness. Optimize model performance for latency, cost, and quality tradeoffs. Monitor and Improve Production AI Implement monitoring for model drift, latency, error rates, and output quality. Design for graceful degradation when models or services underperform. Create feedback loops that surface production issues and drive continuous improvement. Collaborate with Data Engineers and ML Engineers to ensure seamless integration with data pipelines and feature stores. Mentor and Collaborate Mentor junior engineers on AI development and software engineering best practices. Collaborate with product managers and domain experts to translate business needs into AI capabilities. Communicate complex AI concepts clearly to technical and non-technical stakeholders. What We're Looking For Core Engineering Experience • 7+ years of software engineering experience, with a track record of shipping production systems, • Strong proficiency in Python and/or Go, with clean, well-structured code, • Solid understanding of software engineering fundamentals: system design, API design, testing, code review, CI/CD, and version control, • Experience with containerization (Docker, Kubernetes) and cloud infrastructure, • 3+ years of hands-on experience building AI/ML-powered features or products, • Experience building agentic AI systems—chat interfaces, multi-step workflows, tool-use patterns, and orchestration frameworks (LangChain, LangGraph, or similar), • Working experience with both commercial LLM APIs (Anthropic, OpenAI) and open-weight models (LLaMA, Mistral, Qwen, or similar), • Experience designing and implementing RAG pipelines with vector databases, • Strong understanding of prompt engineering and LLM behavior optimization, • Familiarity with model serving frameworks (vLLM, TGI, Triton, or similar) and inference optimization techniques, • Experience with model adaptation techniques (LoRA, QLoRA, PEFT, instruction tuning), • A problem solver at heart—you dig into complex problems, explore options, and find practical solutions rather than waiting for direction, • Proactive and self-driven; you identify opportunities and risks before they become blockers, • Innovative and curious; you keep up with a fast-moving field and bring new ideas to the team, • Passionate about building AI systems that are both powerful and trustworthy, • Excellent communicator who can explain AI behavior and limitations clearly to any audience Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage. Note: This role will be hybrid in office for those in the NYC metro or remote for those in the Denver metro area (but with the expectation of periodic travel to our NYC office) Compensation Range (New York City): $189,000 - $235,000 Compensation Range (Denver Metro): $166,000 - $207,000 *The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 5+ years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This is a hybrid position in New York, NY. We are onsite 3+ days per week. What you’ll do: * Design, build, and scale backend services and APIs using Python (and preferably Go) to power our AI agent platform. * Partner with ML engineers to integrate large language models (LLMs) into production systems. * Own feature development from ideation to launch: gather requirements, implement, test, and iterate. * Improve system reliability and scalability by enhancing testing, removing performance bottlenecks, and refining infrastructure. * Collaborate closely across disciplines, including with our CEO, product manager, and designer, to translate product goals into technical solutions. * Participate in on-call rotations and production maintenance to ensure a great user experience. Who you are: You are a Systems Software Engineer with a strong grasp of both backend and frontend systems. You balance technical depth with product intuition, building reliable, user-focused applications that scale. You’re comfortable moving quickly in a startup environment, collaborating across disciplines, and owning features from concept through deployment. You thrive in ambiguity, enjoy working with emerging AI technologies, and are based in New York City for a hybrid schedule. * 7+ years of infra / backend engineering experience. * Good understanding of database technologies, like SQL, Postgres, etc. * Strong intuition for product balancing user needs with technical constraints. * Comfortable working across the stack, from frontend to backend systems and data pipelines. * Familiarity with cloud architecture and deploying to cloud, particularly Google Cloud Platform (GCP) or Terraform * Able to work independently and handle ambiguity in a fast-paced startup environment. * Excited about the opportunity to tackle impossible problems. Bonus points if you have: * Experience integrating or deploying AI/ML models into user-facing products. * Background in real-time or conversational applications. * Prior experience in high-growth startups or developing products from 0 to 1. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Schedule: Flexible (Project-Based) Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of conversational AI systems. In chemistry-related contexts, AI systems must demonstrate: * Accurate mechanistic reasoning * Quantitative precision * Strong command of chemical theory and application This role focuses on evaluating and improving how AI models reason about, explain, and communicate chemistry concepts across foundational and advanced topics. Key Responsibilities * Write and refine prompts to guide AI model behavior in chemistry contexts * Evaluate AI-generated responses for: * Scientific accuracy * Mechanistic correctness * Quantitative reasoning * Conduct fact-checking using authoritative sources and domain expertise * Annotate responses by identifying: * Strengths * Weak reasoning * Conceptual inaccuracies * Assess explanation clarity and structure for different audience levels * Ensure responses align with conversational guidelines and evaluation standards * Apply structured taxonomies, benchmarks, and detailed review frameworks Required Qualifications * PhD in Chemistry or a closely related field Deep expertise in one or more of the following domains: * Organic Biological Chemistry * Inorganic Materials Chemistry * Physical Theoretical Chemistry * Analytical Instrumental Chemistry Additional Requirements: * Significant experience using large language models (LLMs) * Strong understanding of how LLMs are used and where they fail * Excellent technical writing and explanation skills * Exceptional attention to detail * Experience reviewing or editing academic or technical writing Nice-to-Have Qualifications * Experience with RLHF, AI model evaluation, or data annotation * Teaching or mentoring experience * Familiarity with structured evaluation rubrics or benchmarking systems What Success Looks Like * You identify subtle inaccuracies or weak reasoning in chemistry outputs * Your feedback improves scientific rigor and clarity * You deliver reproducible evaluation artifacts * AI systems become more reliable in chemistry-related applications Why Join * Apply PhD-level expertise to frontier AI development * Contribute to high-impact AI research beyond traditional academic roles * Flexible schedule with project-based autonomy * Competitive compensation aligned with expertise Contract Payment Terms * Independent Contractor engagement * Fully remote with flexible working schedule * Project-based work (may be extended or concluded based on needs and performance) * Weekly payments via Stripe or Wise * Unable to support H1-B or STEM OPT candidates at this time

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli

Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Uber is available for delivery in hundreds of cities,. If you have previous employment experience in transportation (such as a deli