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Sr. Program Manager, AI Solutions
Stability AI
101-200
USD
0
130000
-
150000
United States
Canada
Full-time
Remote
true
About the Role We’re seeking a top tier Program Manager – AI Solutions to support end-to-end implementation of AI solutions at enterprise customer organizations. You will establish and maintain robust project management infrastructure, coordinate cross-functional teams, and ensure timely delivery of AI solutions that deliver against customer expectations. This is an exciting opportunity to work on the forefront of Generative AI with some of the leading brands in the world. This is a fully remote role based in the United States or Canada. Key Responsibilities Program Leadership: Own the full lifecycle of AI solutions projects—from requirements gathering through development, deployment, and post-launch optimization.
Project Management Infrastructure: Design and implement standardized processes, tools, and templates (e.g., status dashboards, delivery templates) to support consistent, scalable AI solution delivery.
Cross-Functional Collaboration: Coordinate with Sales, Applied AI, Research, Product, and Engineering to drive alignment and remove roadblocks.
Stakeholder Communication: Provide regular updates to senior leadership on customer project status, milestones, and risks.
Risk & Issue Management: Proactively identify, assess, and mitigate risks; escalate issues appropriately, and document resolutions to continuously improve delivery processes.
Resource & Budget Planning: Define resource requirements, track team and project utilization, and optimize allocation across multiple concurrent AI initiatives.
Change Management: Develop and execute change-management plans (training materials, user guides, rollout schedules) to drive adoption of AI-powered solutions within the business.
Continuous Improvement: Gather and analyze post-implementation metrics, collect stakeholder feedback, and drive lessons-learned sessions to refine methodologies and accelerate future deployments.
Qualifications 5+ years of program or project management experience at a technology or consulting/services company focused on technology implementation and delivery. Demonstrated ability to manage a high volume of complex, multi-stakeholder technology delivery projects end-to-end. Proficiency with project-management tools (e.g., Jira, Asana, MS Project) and familiarity with Agile/Scrum and Waterfall methodologies. Exceptional organizational skills with a proven track record of building and scaling PM infrastructures. Outstanding verbal and written communication skills; experience presenting to C-level executives. Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus. PMP, PgMP, or Scrum Master certification preferred. Compensation
The salary range for this role is between $130,000-$150,000 USD if based in the US and between $100,000-$120,000 CAD if based in Canada. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Project Manager
Product & Operations
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August 8, 2025
Senior Machine Learning Engineer - Language Capabilities (f/m/d)*
Parloa
201-500
-
Germany
Full-time
Remote
false
YOUR MISSION: As a Senior Machine Learning Engineer - Language Capabilities (f/m/d)*, you will build, scale, and improve Parloa’s platform to evaluate and fine-tune machine learning models required to extend Parloa to new languages. You will take ownership of critical backend services and machine learning systems in speech-to-text, text-to-speech, and NLP across multiple languages. As a part of the Language Capabilities team, you will ensure our production systems are robust, scalable, and continuously improving. You will leverage cutting-edge technologies to maintain Parloa's competitive edge in transforming the customer service industry with AI. IN THIS ROLE, YOU WILL: Execute machine learning projects end-to-end, including model fine-tuning, productionization, monitoring, maintenance, and continuous optimization. Own and maintain critical backend services and infrastructure for speech processing, service orchestration, production monitoring, and observability solutions to ensure high availability and performance. Build and improve our model finetuning platform and data processing pipelines from dataset preparation and provider integration to model deployment, endpoint management, audio processing, transcription, evaluation, and synthetic data generation. Work closely with your Engineering Manager, team members, and data platform engineers to shape technical architecture decisions for international scalability while ensuring security, scalability, availability, best practices, and engineering, as well as ML excellence.
Our Tech Stack: Microsoft Azure, STT & TTS models and service providers, Python, Kubernetes, Terraform, Docker, Kafka, Databricks, Preset, DataDog, GitHub Actions, Helm, MLflow, git WHAT YOU BRING TO THE TABLE: 7+ years of experience as a machine learning engineer Strong engineering background with end-to-end ownership experience of production machine learning systems and operations Strong proficiency in Python and experience with modern ML frameworks and libraries Experience working with text data; experience working with audio data and STT/TTS systems is a strong plus Broad cloud-native expertise including containerization, orchestration, IaC, deployment tools, cloud data platforms (e.g., Databricks), and observability systems Experience with MLOps practices, including experiment tracking, model versioning, and automated deployment Strong understanding of backend service architecture, API design, and microservices patterns, with hands-on experience in building real-time systems and managing high-throughput production workloads WHAT'S IN IT FOR YOU? Be part of a dynamic, driven team of +40 nationalities with flat hierarchies and a collaborative company culture Flexible office policy - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office Attractive compensation package Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth Flexible working hours, 28 vacation days and workation opportunities Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass or Urban Sport Club. We cover the cost of a monthly Deutschland train ticket. Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands. Regular team events, game nights, and other social activities And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity Your recruiting process at Parloa: Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Session) + Machine Learning (Case Study) → Meeting the team Why Parloa? Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Machine Learning Engineer
Data Science & Analytics
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August 8, 2025
Manager, Revenue Operations & Pricing Strategy
SoundHound AI
501-1000
USD
0
110000
-
150000
United States
Full-time
Remote
true
Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. We are seeking a Manager of Revenue Operations & Pricing Strategy to lead deal structuring, revenue optimization, and incentive management initiatives across all of our verticals. This role’s primary focus will be on driving revenue growth and margin optimization through integrated customer value engineering, pricing analytics, and financial modeling expertise. As a strategic business partner, you will also work with Sales leadership to design and manage commission programs spanning direct and channel sales to ensure seamless alignment between pricing strategies and sales incentives. In this role, you will: Provide strategic financial guidance on complex deal structures while partnering with GTM teams to develop pricing recommendations that optimize customer acquisition, retention, and expansion. Build and maintain financial models to analyze various deal structures based on value creation, pricing, and unit economics (e.g., CAC, total cost of ownership, customer lifetime value). Design and administer comprehensive commission programs that reinforce pricing strategies, collaborating with sales leadership on quota setting, structure adjustments, and performance monitoring to drive desired sales behaviors and revenue outcomes. Develop and maintain deal approval frameworks, pricing guidelines, and discount authorization matrices, working with Sales Ops to streamline and automate aspects of the deal review process. Calculate commission payouts and implement validation processes, partnering with Accounting and HR to ensure accuracy and compliance while identifying automation opportunities. Monitor sales performance against bookings targets and pricing objectives, adjusting incentive mechanisms to maintain alignment between sales behaviors and strategic revenue goals. Maintain detailed documentation and operational controls for commission calculations, deal approvals, and pricing decisions that support quarterly close processes and external audits. We would love to hear from you if: You have bachelor's degree in Finance, Business, Economics, or related field; MBA or relevant certifications valued but not required given strong experience. You have 5+ years of progressive experience combining elements of: deal desk operations, pricing analytics, revenue operations, or strategic FP&A within B2B software companies. You have deep understanding of B2B/AI software, including unit economics (CAC, LTV, payback), TCO modeling, and translating AI capabilities into customer value propositions and pricing strategies. You have experience designing or administering sales compensation programs with clear understanding of how commission structures drive sales behaviors and impact revenue quality. You have proven ability to translate complexity into clear business impact analysis and recommendations, preferably within a high-impact financial context. You have strong grasp of revenue accounting principles (ASC 606), deal structure implications on revenue recognition, and commission accrual mechanics within public company reporting requirements. You have advanced Excel and/or Google Sheets capabilities with comfort building dynamic models (using formulae like INDEXMATCH) to avoid manual processes. Experience with CRM/ERP systems (NetSuite preferred). SQL and visualization tools (Looker, Power BI) are a plus but not required. You have proven ability to partner with GTM leadership, translating complex analyses into actionable recommendations that drive revenue growth and margin improvement. This position is available for remote work across most of the United States. (** SoundHound AI DOES NOT offer employment in Alabama, Alaska, Delaware, Iowa, Maine, Mississippi, New Hampshire, North Dakota, Rhode Island, South Carolina, Vermont, West Virginia, Wisconsin, and Wyoming. Regardless of workplace arrangement, employees within a 60-mile radius of a SoundHound AI office are expected to work from the office on three pre-scheduled, company-wide “core days” per month to encourage cross-team connection and in-person collaboration. The estimated salary for this position is $110,000 - $150,000 plus equity. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. ____________________________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers. To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html. #LI-MR1 #LI-REMOTE
Product Manager
Product & Operations
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August 8, 2025
Data Engineer
Taktile
101-200
-
Germany
Full-time
Remote
false
About the role:Join our Optimization team at Taktile as a Data Engineer. You will build isolated, scalable data warehouse infrastructure for finance teams on AWS using Iceberg/Athena/Jupyter/Parquet. Support operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies at scale through the use of production data.
Location: Taktile operates on a hybrid model. This role is based out of our Berlin HQ.What you'll do:Build and maintain isolated, regionalized data warehouse infrastructure for use in customer facing features.Develop data tools for improving policy performance, such as training ML models on historical data and backtesting at scale.Design and develop scalable and network optimized RESTful APIs using Python on AWS, leveraging services such as Lambda, S3, SQL and Parquet.Optimize data warehouse efficiency, conduct peer code reviews, and produce technical documentation.Collaborate with cross-functional teams in an Agile environment to translate business requirements into technical solutions.Requirements:Minimum of 5 years of experience in Python and SQLPrior experience in Data Engineering/Data Viz/Machine Learning or Artificial IntelligenceFluency in English, both written and spoken, is crucial to lead communication in our globally distributed environment.Ideal, but not required:Experience in Iceberg/AthenaExperience in Python, FastAPIExpertise in data engineering topics, SQL, parquetExperience with AWS services and serverless architectures.What we offer:Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.Make an impact and meaningfully shape an early-stage company.Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation package.Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Receive a new Apple MacBook Pro, as well as meaningful home office set-up.Our stance:We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to applyWe seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all earsAbout us:Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.
Data Engineer
Data Science & Analytics
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August 8, 2025
Lead SRE
Robin
1-10
-
South Africa
Full-time
Remote
false
About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as an SRE Team Lead?As a SRE Team Lead at Robin AI, you'll lead a team of two SRE Engineers while reporting directly to the CTO. You'll help build and maintain our cloud infrastructure and applications that powers our cutting-edge Legal AI platform. You'll provide Change leadership to your team and collaborate with engineering leaders to establish robust monitoring, incident response, and deployment strategies that ensure high availability and reliability of our proprietary models and services, maintaining optimal SLOs for our global customer base.Your day-to-day responsibilities:Lead and mentor a team of two SRE Engineers, providing technical guidance and career developmentWork closely with the CTO to define and implement the technical infrastructure roadmapEstablish monitoring strategies and implement solutions to enhance reliability, scalability, and cost-efficiencyCollaborate with development team leads to optimise build, test, and deployment processesLead incident response and establish processes for troubleshooting production issuesOrganise and oversee on-call rotations to ensure 24/7 system reliabilityDrive documentation standards and knowledge sharing within the engineering organisationIdeally, you should have the following qualifications:5+ years of experience in DevOps or Site Reliability Engineering roles, with 2+ years in a managerial positionProven experience managing and mentoring technical team membersProficiency in at least one backend programming language (We use Python)Strong knowledge of AWS services (ECS, S3, RDS, Lambda, etc.), managed by TerraformKnowledge of observability frameworks and tools (We use OpenTelemetry, Cloudwatch & DataDog)Excellent leadership, communication, and problem-solving skillsExperience with AI/ML infrastructure deployment and scalingWhat’s in it for youSalary: CompetitiveHybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 20 days PTO, in addition to the public holidays observed in South Africa.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.
MLOps / DevOps Engineer
Data Science & Analytics
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August 8, 2025
SRE
Robin
1-10
-
South Africa
Full-time
Remote
false
About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as an SRE?As an SRE at Robin AI, you'll help build and maintain our cloud infrastructure and applications that powers our cutting-edge Legal AI platform. You'll collaborate with engineering teams to establish robust monitoring, incident response, and deployment strategies that ensure high availability and reliability of our proprietary models and services, maintaining optimal SLOs for our global customer base.Your day-to-day responsibilities:You will be responsible for ensuring the Robin systems are highly available and scalable.Standardise and implement observability practices in our service-based architecture through logging, traces, metrics and monitorsDesign, deploy, and operate infrastructure to support Robin's product teams as we expand into new regions.Adding automation around manual operational tasksCollaborate with development team leads to optimise build, test, and deployment processesParticipating in and improving our on-call and incident handling processes to ensure 24/7 system reliabilityIdeally, you should have the following qualifications:3+ years of experience in DevOps or Site Reliability Engineering rolesProficiency in at least one backend programming language (We use Python)Strong knowledge of AWS services (ECS, S3, RDS, Lambda, etc.), managed by TerraformComfortable troubleshooting across the full stack, starting from the browser, through the networking components, into the containerised applications and then onto data stores.Knowledge of observability frameworks and tools (We use OpenTelemetry, Cloudwatch & DataDog)Excellent problem-solving and communication skillsExperience with AI/ML infrastructure deployments is a plusWhat’s in it for youSalary: CompetitiveHybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 20 days PTO, in addition to the public holidays observed in South Africa.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.
MLOps / DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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August 8, 2025
Technical Support Engineer
Siena
51-100
-
Philippines
Full-time
Remote
true
About SienaSiena is building enterprise empathic AI Agents powered by reasoning-adept LLMs. Siena is the first AI Agent of its kind, designed to integrate with existing systems and interact with customers across multiple channels from a single, unified platform.If you're excited about the intersection of human-to-machine communication and want to be part of a team driving innovation and making a real impact in automating agentic workflows, join us on our mission to revolutionize customer experience through empathetic AI.Our AI-First PhilosophyAt Siena, AI isn't just a tool—it’s embedded in our DNA. We believe that leveraging AI-first workflows empowers individuals to work smarter, faster, and more creatively. Our team embraces AI-powered augmentation in everything we do, from research to execution, making us more efficient and innovative every day.About the RoleWe're seeking an exceptional Technical Support Engineer to join our Customer Experience team at Siena. This isn't your typical support role: you'll be solving complex engineering problems that directly impact our customers' success. You'll work at the intersection of customer experience and deep technical problem-solving, becoming the bridge between our customers and our engineering team.What makes this role specialReal Engineering Work: Debug production systems, write code, and deploy solutionsDirect Customer Impact: Your technical expertise directly drives customer success and retentionGrowth Opportunity: Join a rapidly scaling AI company with significant career advancement potentialTechnical Leadership: Own end-to-end technical investigations and become the go-to expert for complex issuesWhat You'll DoTechnical problem solvingDebug complex API failures, LLM hallucinations, and integration bugs using production toolsAnalyze system traces in Honeycomb and other observability platformsWrite and deploy JavaScript code snippets for customer website integrationsPerform root cause analysis on system-level issues and data inconsistenciesAI & LLM expertiseTroubleshoot and optimize prompt engineering configurationsDiagnose LLM response issues and implement solutionsWork with AI model behaviors and performance optimizationDebug autonomous agent workflows and decision-making processesIntegration & developmentFix customer integration issues through code modificationsDeploy and maintain JavaScript implementations for Live Chat and Shopping Agent featuresWork with REST APIs, webhooks, and third-party integrationsCreate technical documentation and implementation guidesCustomer EngineeringConduct technical deep-dives with customer engineering teamsLead complex technical implementations and migrationsProvide architectural guidance for customer integrationsEscalate and collaborate with Product Engineering only when necessaryProcess & documentationOwn technical investigations from initial report to final resolutionCreate detailed technical documentation and runbooksBuild debugging workflows and troubleshooting guidesContribute to internal tools and automationWho You AreTechnical skills3+ years of software engineering experience with production systemsStrong programming background in JavaScript, Python, or similar languagesAPI debugging expertise - REST APIs, JSON, HTTP protocols, authenticationProduction systems experience - logs analysis, monitoring tools, system debuggingDatabase knowledge - SQL queries, data analysis, performance troubleshootingAI/LLM expertise (preferred)Experience with LLMs, prompt engineering, or AI model integrationUnderstanding of machine learning concepts and model behaviorExperience with AI APIs (OpenAI, Anthropic, etc.)Customer-facing skillsExcellent English communication (written and verbal)Experience explaining technical concepts to non-technical stakeholdersProblem-solving mindset with customer empathyAbility to work independently in a remote environmentWork NA time zones - 9:00 AM EST - 6:00 PM ESTWhy Join UsWe’re a startup, so no fancy offices or corporate fluff. But here’s what we do offer:Make a real impact. Your work directly shapes our product and company.A Voice that matters. In a small team, every perspective counts—yours included.Working at Siena. We are a fully remote, globally distributed team working at the bleeding edge of CX and generative AI.Competitive compensation. Great salary plus the opportunity for equity or stock grants.Flexible time off. Take at least 15 days—more if you need it.A Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.Tackling meaningful challenges. We’re redefining how work gets done through AI.Our valuesWe’re not about corporate jargon—here’s what truly matters to us:Curiosity and creativity: You always seek new knowledge, ask questions, and explore different perspectives to deepen your understanding.Customer empathy: You are driven by our customers’ success. You see needs they can’t articulate.Resilience: You bounce back from setbacks, adapt to change, and thrive in the face of challenges.Ownership and autonomy: When things break, you fix first, explain later.Relationships: You create bonds with your colleagues - building trust and sharing success.Craft and speed: You balance vision with pragmatism. Your standards pull everyone higher.Open and direct: You share and receive feedback. You are open about what’s working and what not.AI-First ToolingTo ensure you stay at the cutting edge of AI-driven work, we provide:Perplexity Pro accountChatGPT Pro accountClaude Pro accountQuarterly budget for experimenting with new AI toolsA culture that encourages AI experimentation and adoptionWe encourage our team to explore and integrate AI tools into their workflows, allowing them to maximize efficiency and innovation in their roles.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Software Engineer
Software Engineering
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August 8, 2025
Product Growth Engineer (React / Tailwind) - Salt Lake City, USA
Speechify
101-200
USD
0
140000
-
200000
United States
Full-time
Remote
true
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.
Software Engineer
Software Engineering
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August 8, 2025
Applied AI Engineer & Researcher - Salt Lake City, USA
Speechify
101-200
-
United States
Full-time
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
Apply
August 8, 2025
AI Engineer & Researcher, Inference - Salt Lake City, USA
Speechify
101-200
-
United States
Full-time
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
Apply
August 8, 2025
Product Growth Engineer (React / Tailwind) - Dallas, USA
Speechify
101-200
USD
0
140000
-
200000
United States
Full-time
Remote
true
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.
Software Engineer
Software Engineering
Apply
August 8, 2025
Applied AI Engineer & Researcher - Dallas, USA
Speechify
101-200
-
United States
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
Apply
August 8, 2025
AI Engineer & Researcher, Inference - Dallas, USA
Speechify
101-200
-
Anywhere
Full-time
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
MLOps / DevOps Engineer
Data Science & Analytics
Apply
August 8, 2025
Quality Assurance Engineer (Manual), iOS - Boston, USA
Speechify
101-200
0
0
-
0
Anywhere
Full-time
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5602287004 DO NOT APPLY BELOW Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth. Overview
Our team is committed to changing the way people read and with our exponential growth, we are looking for a strong QA engineer to help us succeed through testing mobile applications. We love a commitment to quality and risk assessment, maintaining documentation, and curiosity of testing trends and industry standards. This is a full-time remote role and can be based anywhere globally. What You’ll Do Develop and execute test plans, test cases, and test scripts for the Speechify iOS app, ensuring comprehensive coverage for both manual and automated testing. Collaborate with the development team to identify, reproduce, and document issues and defects in the iOS app. Utilize and maintain automation tools and frameworks for iOS, such as Appium, to increase efficiency and reduce manual testing efforts. Stay up-to-date with the latest industry trends, tools, and best practices in iOS testing and automation. Create and maintain test documentation, including test plans, test cases, and test summaries, ensuring they are clear, concise, and up-to-date. Communicate testing results, progress, and issues to project stakeholders, including developers, product managers, and customer support teams. Participate in agile development processes, attending daily stand-ups, sprint planning sessions, and retrospectives. Continuously identify opportunities for process and tool improvements, and work with the team to implement these enhancements. An ideal candidate should have B.S. in Computer Science, related technical field or equivalent experience 3+ years of experience in QA engineering, with a focus on iOS testing Strong understanding of iOS app development and testing processes, including familiarity with Apple's Human Interface Guidelines and the App Store submission process. Experience with continuous integration and continuous delivery (CI/CD) pipelines, such as Bitrise, CircleCI. Solid understanding of Agile methodologies and experience working in an Agile environment. Excellent troubleshooting and problem-solving skills, with the ability to identify, analyze, and resolve issues in a timely manner. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with version control systems, such as Git. Nice-to-Have: Experience with text-to-speech technologies. Familiarity with accessibility testing and guidelines, such as WCAG. Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. 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.
Software Engineer
Software Engineering
Apply
August 8, 2025
Product Growth Engineer (React / Tailwind) - Boston, USA
Speechify
101-200
USD
0
140000
-
200000
United States
Full-time
Remote
true
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.
Software Engineer
Software Engineering
Apply
August 8, 2025
Applied AI Engineer & Researcher - Boston, USA
Speechify
101-200
0
0
-
0
United States
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
Research Scientist
Product & Operations
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
Apply
August 8, 2025
AI Engineer & Researcher, Inference - Boston, USA
Speechify
101-200
-
United States
Full-time
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
MLOps / DevOps Engineer
Data Science & Analytics
Apply
August 8, 2025
Applied AI Engineer & Researcher - Austin, USA
Speechify
101-200
-
United States
Full-time
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
Research Scientist
Product & Operations
Apply
August 8, 2025
AI Engineer & Researcher, Inference - Austin, USA
Speechify
101-200
-
United States
Remote
true
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.
Machine Learning Engineer
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August 8, 2025
Senior Software Engineer, AI Model serving - Austin, USA
Speechify
101-200
USD
0
140000
-
200000
United States
Full-time
Remote
true
PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4984520004 DO NOT APPLY BELOW Mission 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. Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS 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. Compensation: 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.
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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August 8, 2025
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