Find AI Work That Works for You

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We are looking for a dynamic clinical project manager who will report to the Head of Clinical Operations to drive our clinical study roadmaps by partnering with internal and external stakeholders. Scientific and project management skills will be key to success in driving the necessary studies for pre- and post-market assessment of our products, as well as clinical trial services.  What You'll Do Responsible for, and must have a demonstrated ability to successfully develop, implement, manage, and complete clinical trials operationally within designated programs and timelines. Lead the development and communication of presentations to keep internal and external teams informed  of progress, timelines, and risks- ensuring alignment and successful completion of projects. Generate high quality trial documentation that accurately captures trial activities and workflows, with high attention to detail. Manage day to day monitoring of study activities and proactively address any issues that may arise. Partner with cross functional internal teams (Engineering, Clinical Science, BioPharma Laboratory, etc.) and external stakeholders to manage, adjust, and revise project timelines/budgets as necessary. Must be able to resolve problems using FDA and other regulations, adherence to GCP requirements, and through regular site interactions. Demonstrate excellent interpersonal skills, ability to bring teams together to successfully plan and execute PathAI clinical trials, and ability to prioritize with multiple competing priorities. Manage external vendors, as needed. What You Bring 3+ years of project management experience in medical device and/or drug development clinical trials and a BS or BA in a relevant scientific discipline, or 1-2+ years of experience with an M.S. or PhD in a relevant scientific discipline. Robust understanding of clinical trial regulations, GCP and GCLP. Experience in digital pathology, radiology or other imaging technology-based clinical trials is highly preferred. Good organizational skills, attentive to details, and able to multitask. Project Management Certification is a plus. Strong understanding of laboratory practices, histology, and pathology preferred. Experience in MASH, IBD, and Oncology preferred. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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About the jobMaincode is building sovereign AI models in Australia. We train foundation models from scratch, design new reasoning architectures, and deploy them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is creating new systems from first principles. We’re hiring a research leader for our AI Residency program. Our AI Residency Program is a focused research collaboration with top academic talent: late-stage PhD students, postdocs, and professors, working on foundational AI research at the architectural level. Each cohort of residents joins us for 6-months to pursue ambitious projects that align with our mission, combining academic rigor with industry-scale infrastructure and execution. This is a full-time, permanent role with ongoing responsibility for sourcing and selecting residents, guiding them through their projects, supporting publication efforts, and ensuring impactful, aligned research outcomes. The program is already up and running, now we’re looking for a research leader to own its day-to-day execution. You’ll make sure the right people are selected, the right projects are pursued, and the research produced is impactful, publishable, and aligned with Maincode’s long-term goals. You’ll also lead sourcing, interviewing, and hiring of residents, and ensure each one’s experience is productive and inspiring. This is a hybrid role based in Australia.What you’ll doRun the AI Residency Program end-to-end, ensuring smooth operations, clear timelines, and high-impact outcomes.Source, recruit, and hire outstanding residents, managing the full candidate pipeline from outreach to signed offers.Select and greenlight projects in consultation with Maincode’s research leadership to ensure strategic alignment.Guide and mentor residents throughout their 6-month program, drawing on your academic and industry experience.Maintain research quality, ensuring outputs meet top-tier publication standards and practical applicability.Coordinate with internal research teams so residency work complements and extends Maincode’s own research agenda.Represent the program externally, building relationships with universities, research groups, and other AI communities. Who you areA senior academic researcher (postdoc or above) with deep expertise in AI and a broad understanding of the field’s directions.Experienced in supervising PhD-level research and managing multiple projects simultaneously.Skilled in candidate sourcing, interviewing, and selection for high-level research roles.Have a strong publication record in top AI/ML venues (NeurIPS, ICLR, ICML, etc.).Strong strategic judgment in choosing projects and people that balance novelty with long-term impact.A confident communicator who can work seamlessly with both academic researchers and industry engineers.Motivated to strengthen sovereign AI capability in Australia through academic–industry collaboration.Why Maincode We are a small, mission-driven team building some of the most advanced AI systems in Australia. We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible. You’ll be surrounded by people who:Care deeply about model internals, not just outputs.Build things that work at scale.Take pride in learning, experimenting, and shipping.Believe Australia must have independent, world-class AI systems.If you want to run a program that brings world-class researchers into an environment where they can test ideas at scale and make a lasting impact on the science of AI, we’d love to hear from you.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange. Job Title: RTB Advertising Optimization & GTM PM Location: Preferred: Tokyo Japan (or available to travel to Japan frequently) About the Role: We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists, campaign managers, and Japan-based business teams to improve RTB (Real-Time Bidding) campaign performance through model enhancements, market insights, and cross-functional collaboration. You will also support local business development and sales teams in identifying key market challenges and shaping the go-to-market strategy. This role offers the opportunity to work with large-scale A/B experiments across billions of ad requests daily and to directly influence product optimization efforts in the Japan market. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Collaborate closely with Japan-based Sales teams to identify business challenges, define product solutions, and support go-to-market strategies. Analyze competitor strategies and market trends to uncover optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Work with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across regional and global teams. Language Skills: Proficient in Japanese ///  Business-level English or Mandarin is a plus. Able to clearly communicate ideas and technical findings across both local and global stakeholders. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus. Experience working directly with Japanese clients or stakeholders is a strong advantage.  

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to the way Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You'll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs. Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. Conduct research and analysis on customers and competitors.What You HaveIdeal candidate will be qualified to practice law in the U.K.At least 3 years of experience practicing law at a top-tier law firm in the U.K.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levelsOutstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Please find our UK applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.This role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees.What You’ll DoDesign and build foundational infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have5+ years (post-BS/MS) of frontend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills and general Computer Science knowledgeWhat We OfferBe part of building something special as a founding member of our Toronto teamStructured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About the TeamAt OpenAI, our User Operations team safeguards our products and users from legal risk, regulatory non-compliance, fraud, and abuse. The team operates at the intersection of operations, compliance, and user trust, embedded within the broader User Operations organization and collaborating cross-functionally with Legal, Policy, Engineering, Product, and external vendors.We support a global and diverse user base across OpenAI’s suite of products ChatGPT, API, Enterprise offerings, and developer tools by managing sensitive inbound tickets, regulatory obligations, and fraud-related escalations. Every user-facing action is grounded in our commitment to legal integrity, ethical practice, and regulatory excellence.About the RoleWe are seeking a sharp, adaptive, and operations-minded Fraud & Risk Operations Analyst to help scale and evolve OpenAI’s global compliance support infrastructure.In this role, you will own high-sensitivity workflows involving trust and safety, global regulatory escalations, privacy rights requests, intellectual property, and account fraud. You’ll serve as both a frontline operator and strategic partner, triaging and resolving complex cases while also shaping the systems, documentation, and vendor processes that support OpenAI’s regulatory and compliance goals.This role is essential to building scalable, high-integrity operations that protect user rights, meet our obligations under emerging regulations, and reduce OpenAI’s risk exposure. You’ll also contribute to multi-phase vendor transitions and automation efforts that support our long-term operational model.Please note: This role may involve exposure to sensitive or concerning content, including complaints involving harassment, fraud, or regulatory violations. Strong personal discretion, empathy, and resilience are essential.In This Role, You Will:Handle and resolve complex user issues involving:Fraud, impersonation, and account access abuseTrust & Safety incidentsRegulatory, audit, or compliance inquiries and complaintsIntellectual property matters (e.g., copyright takedowns, ownership disputes)AI governance and emerging regulatory frameworks (e.g., EU AI Act, DSA/OSA)Perform risk evaluations and investigations using internal tools, documentation, and third-party dataAct as incident manager for highly sensitive reviews requiring nuanced interpretation of legal and regulatory standardsInterface directly with Legal, Privacy, Product, and Support teams to coordinate escalations and resolution pathsPartner with Legal, Privacy, Policy, and Ops to implement world-class operational workflows for compliance and riskBuild and maintain tooling, escalation decision trees, playbooks, and knowledge articlesContribute to vendor training and governance models, especially during transitions and ramp-up phasesLead or participate in cross-functional initiatives that strengthen our regulatory, fraud, and legal infrastructureMonitor operational health via case quality audits, SLA tracking, escalation accuracy, and user satisfaction metricsYou Might Thrive in This Role If You:Have 5+ years of experience in legal operations, regulatory compliance, fraud prevention, or trust & safety especially in a global or high-growth tech environmentAre deeply familiar with regulatory frameworks such as GDPR, CCPA, DMCA, EU AI Act, DSA/OSAHave partnered with in-house counsel, DPOs, or external regulators on audits or escalationsUnderstand tiered support structures and have worked with vendor operations at scaleBring a structured, systems-first mindset to operational governance and risk evaluationCommunicate clearly, empathetically, and effectively especially in writing responses to sensitive issuesOperate well in ambiguity and can manage multiple priorities simultaneously with speed and precisionThrive in high-autonomy environments and hold a high bar for ownership and integrityAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Staff Backend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.This role is based in Toronto, Canada. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoDesign and build foundational backend infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have5+ years (post-BS/MS) of backend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeWhat We OfferBe part of building something special as a founding member of our Toronto teamStructured hybrid working arrangement: 3 days in our Toronto office, 2 days working from homeAdditional Information Location: Toronto, Ontario (Hybrid with flexibility)Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this roleWe are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Job Description: At Shield AI, we develop cutting-edge autonomous aircraft systems that are actively deployed in real-world operations to protect service members and civilians. As we expand our test capabilities, we're hiring a Flight Test Engineering Manager to lead and scale our flight test operations—driving hands-on execution while mentoring a high-performing team.  In this hybrid role, you’ll split your time between strategic leadership and direct technical contribution. You’ll oversee a growing team of Flight Test Engineers (FTEs), guide test strategy, and roll up your sleeves to plan, execute, and analyze critical test campaigns. Your work will directly influence the safety, reliability, and performance of some of the world’s most advanced autonomous aircraft.  If you're ready to lead from the front—both in the field and in the lab—this is your opportunity to make a deep and immediate impact.  What you'll do: Lead, mentor, and manage a team of 4–6 mission-driven Flight Test Engineers across multiple test sites and programs. Own the test strategy and execution for our V-BAT UAV and other autonomous platforms—from lab validation through full system flight test. Serve as the technical authority and Test Director for critical campaigns, overseeing test readiness, real-time mission execution, risk assessments, and safety protocols. Oversee detailed test plans, procedures, and schedules for developmental and operational flight testing. Collaborate cross-functionally with subsystem leads across autonomy, avionics, GNC, mechanical, and systems to define test objectives and translate them into executable plans. Establish and track performance metrics to optimize team efficiency and reduce test cycle time. Drive data-driven engineering by building out telemetry pipelines, post-flight analysis workflows, and robust reporting standards. Ensure adherence to all relevant safety and airworthiness processes, as well as FAA and DoD regulatory requirements. Approve and manage key test documentation including test plans, readiness reviews, hazard analyses, and final reports. Foster a culture of continuous improvement, operational excellence, and technical rigor in test methodology. Support verification and qualification efforts including SIL/HIL, FAT, and customer-facing documentation. Guide incident response and root cause analysis processes in the event of anomalies or failures. Represent the Flight Test team in technical reviews, leadership forums, and external stakeholder engagements.  Required qualifications:Bachelor’s degree in Aerospace, Mechanical, Electrical Engineering, or a related STEM field. 8+ years of system-level flight test experience, with at least 2+ years in a technical leadership or management role. Demonstrated ability to lead complex flight test programs for UAVs or autonomous aerospace systems. Experience with full-lifecycle test development—planning, execution, analysis, and reporting. Strong cross-functional collaboration and communication skills across engineering and operations teams. Working knowledge of flight instrumentation, telemetry systems, and post-processing tools. Experience with military or FAA-certified flight test environments is highly desirable. Excellent leadership, organizational, and decision-making skills.  Preferred qualifications:Proficiency in MATLAB, Python, or equivalent scripting for automation and analysis. Familiarity with MIL-STD-810, DO-160, or other aerospace test and qualification standards. Experience with UAS (uncrewed aircraft systems) or autonomy-heavy flight platforms. Operational knowledge of FAA Part 107 or experience as a UAV pilot. Familiarity with test range operations, safety-critical systems, and real-time mission decision-making. Background in early-stage prototyping, hardware bring-up, or field integration in high-growth environments. Ability to thrive in fast-paced, ambiguous environments with rapidly shifting priorities. 

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About the team: Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom AI applications for government  Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications  to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively,  interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product  and engineering execution teams, and various customers and prospects to ensure success.  The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.  In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region. You will: Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities Partner with clients to understand their most pressing problems and brainstorm how Scale can best help Manage the long-term health of clients by identifying and preempting areas of risk or concern Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly Collaborate with the operational and engineering execution teams to track delivery and timelines Review, track and improve operational performances and be obsessed with continuous improvement Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing Have proficiency in reading, writing, and speaking in Arabic  Ideally you'd have: 4+ years of total work experience, with experience in consulting or as a technical program management role in industry  Experience at a Big 3 Consulting Firm or a leading tech company A proven track record in B2B client facing roles and expanding client relationships Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role We are seeking a strategic, detail-oriented Senior Information Architect with UX design experience to shape the structure and flow of AI-powered products and systems. In this hybrid role, you will work at the intersection of AI model capabilities, user experience, and content architecture to ensure our intelligent systems are intuitive, scalable, and user-friendly. You’ll collaborate with cross-functional teams—product managers, engineers, and designers—to develop frameworks that support human-centered AI interactions. Your work will define how users navigate and make sense of complex data, natural language responses, and predictive features. What You Might Do Design intuitive information architectures for AI-driven interfaces and tools. Create sitemaps, user flows, taxonomies, metadata frameworks, and content models. Develop guidelines for content hierarchy and interaction design across conversational interfaces and generative AI features. Advocate for scalable design systems that support personalization, accessibility, and data privacy in AI-powered environments. Define and document structural standards, templates, and navigation strategies to ensure consistency across platforms. Analyze and refine user journey maps for complex, multi-modal AI experiences. Essential Qualifications  3+ years of experience in Information Architecture, UX Design, or Interaction Design. Experience working in the AI space. Proficiency with UX tools (Figma, Miro,, etc.) and IA methodologies. Deep understanding of UX heuristics, human-centered design, and cognitive load principles. Ability to visualize and communicate complex information structures clearly. Strong collaboration and communication skills—comfortable presenting to stakeholders and guiding cross-disciplinary teams. Preferred Skills Experience with conversational UI, voice UX, or LLM-based experiences. Familiarity with content design and structured content management. Background in psychology, cognitive science, or human-computer interaction (HCI). Experience working in agile and design-led development environments. Salary: $132,000- $187,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About EverestAt Everest, we believe executive assistants do meaningful, high-leverage work—and that work isn’t going anywhere. We're redefining executive support by turbocharging elite assistants with powerful agentic systems, so they can focus on the real work.Because the real work is hard. There's no AI workflow for getting a Great Dane from Rome to Rio. There's no automating the trust required to support the people whose work is shaping our world.So, what are we streamlining? Everything else.We're building AI-native infrastructure into the bones of our operations—orchestration and observability layers that balance deterministic systems with stochastic outcomes. We prioritize thoughtful and ethical approaches to deploying AI agents that don't replace people, but make them superhuman.We’re a small, senior team shipping the kind of agentic infrastructure most companies will still be demoing two years from now. You’ll help architect the core systems behind it, working closely with the world-class assistants who depend on it every day.Our executive assistants support some of the most influential people across tech and finance. They're not just our users—they're our stakeholders and collaborators. That means clearer priorities, better data, tighter feedback loops, and the flexibility to be decisive and take big swings.Core ResponsibilitiesDesign and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines.Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems.Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images).Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines.Collaborate directly with internal EAs to pressure-test workflows in the real world.Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well.Skills and Qualifications5+ years of experience in backend software engineering, preferably in Go or similar systems languages.Shipped agentic LLM systems to production (not prototypes, not demos).Built real-time systems, distributed async queues, or performance-critical services.Deep understanding of prompt engineering, token budgeting, and context management.Strong intuition for when to use AI—and when not to.Thrive in small teams with high trust and high ownership.Bonus PointsExperience with RAG, embedding stores, and vector DBs.Familiarity with tool orchestration frameworks.Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations.Know how to work with (and around) the limitations of cutting-edge LLM technologies.Background in AI safety, observability, or human-in-the-loop workflows.Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility.Are fluent in small-team dynamics: high trust, low ego, shared accountability.Work EnvironmentLocation: Remote.Collaboration: You’ll work closely with our Engineering Lead and the small team shipping core product features weekly.Compensation and BenefitsSalary: Competitive, commensurate with experienceHealthcare: Medical, dental, and visionBenefits: 401k plan, short and long term disability, life insurance, generous paid time off policy.Growth: Do foundational work on systems most companies won’t be building for two years

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work  Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native-level Japanese fluency and business-level English required Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.