Director of Customer Success

🏢 Summary: Customer Engineer, AI Solutions role focused on leading technical sales engagements and end-to-end implementations of an AI software platform for healthcare practices. The position bridges Sales, Customer Success, Product, and Engineering to secure technical wins, drive customer adoption, and influence product roadmap decisions. It involves solution design, integrations, implementation, and ongoing technical advisory in a fast-paced startup environment. 🗂️ Requirements: 5+ years in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering in high-growth tech companies, Experience leading SaaS or enterprise software implementations from discovery to production launch, Proven experience partnering with Sales to win new business and Customer Success to expand accounts, Strong technical aptitude and ability to explain complex software concepts to non-technical stakeholders, Experience in high-velocity SMB and/or mid-market environments, Cross-functional collaboration with Product, Engineering, Product Marketing, Sales, and Customer Success, Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience), Experience with healthcare software, workflows, EMRs/EHRs, or healthcare integrations (preferred) 📃 Skills: SaaS, AI, EMR, EHR, Integrations, APIs, EnterpriseSoftware, Implementation, SolutionDesign, TechnicalDiscovery, ProductDemos, ProofOfConcept, Testing, WorkflowAutomation 🏢 Description: Who we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place. If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. What we're looking for: We are looking for a highly technical, customer-focused Customer Engineer, AI Solutions to help scale one of Nitra's fastest-growing businesses. This role sits at the intersection of Sales, Customer Success, Product, and Engineering and will be responsible for helping healthcare practices successfully evaluate, implement, adopt, and expand Nitra's AI software platform. This is a highly cross-functional role with three core responsibilities. First, you'll partner with Sales and Customer Success to secure the technical win for both new customer acquisitions and cross-sell opportunities. Second, you'll own successful customer implementations, ensuring customers quickly realize value from our AI platform. Third, you'll serve as the voice of the customer by working closely with Product, Product Marketing, and Engineering to influence roadmap decisions and continuously improve the customer experience. The ideal candidate combines strong technical aptitude with exceptional customer-facing skills. You enjoy solving complex customer problems, translating technical capabilities into business value, and building repeatable implementation processes that scale. If you're excited about AI, healthcare technology, and working in a fast-paced startup environment, we'd love to meet you. Your responsibilities will include: - Partner with Sales and Customer Success throughout the sales cycle by leading technical discovery, solution design, product demonstrations, proof-of-concepts, technical evaluations, and implementation planning. - Serve as the technical expert during customer engagements, helping healthcare organizations understand how Nitra's AI platform can automate workflows and improve operational efficiency. - Lead customer implementations from kickoff through production launch, including solution configuration, integrations, testing, training, validation, and go-live support. - Drive customer adoption by helping practices implement best practices, optimize workflows, and maximize long-term value from Nitra's AI software. - Partner closely with Product, Product Marketing, and Engineering to prioritize customer feedback, influence product roadmap decisions, and improve the customer experience. - Build scalable implementation methodologies, technical documentation, playbooks, demo environments, onboarding guides, and best practices that improve deployment quality and reduce time-to-value. - Troubleshoot technical issues and collaborate with Engineering to resolve complex customer challenges. - Measure and optimize implementation performance, technical win rates, customer adoption, customer satisfaction, and implementation quality. - Act as a trusted technical advisor throughout the customer lifecycle while identifying opportunities for expansion and additional product adoption. You have: - 5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering within high-growth technology companies. - Proven success partnering with Sales organizations to win new business and Customer Success teams to expand existing customer relationships. - Experience leading SaaS or enterprise software implementations from technical discovery through production launch. - Strong technical aptitude with the ability to simplify complex software concepts for physicians, practice administrators, and business stakeholders. - Experience supporting high-velocity SMB and/or mid-market customer environments. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Customer Success. - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent technical experience. - Excellent communication, presentation, and executive-facing consulting skills. - High energy, strong executive presence, and the ability to influence without direct authority. - Builder mindset with the ability to thrive in ambiguity and rapidly evolving startup environments. - Experience with healthcare software, healthcare workflows, EMRs/EHRs, or healthcare integrations is strongly preferred. - Experience working in VC-backed Series B-D technology companies is strongly preferred. What we offer: - Equity - Everyone at Nitra is an owner. When the company wins, you win. - Competitive Salary - Your salary will reflect your experience and reward your contributions. - Health Care - Comprehensive health, vision, and dental insurance options. - Retirement Benefits - Generous employer 401K match. - Hybrid work policy with four days in office and Wednesdays work-from-home.

🏢 Summary: Machine Learning Engineer role focused on designing, building, and deploying production ML systems across Lyft Business, including pricing, fraud detection, marketplace optimization, and agentic AI applications. The position involves owning models end-to-end, developing scalable ML infrastructure, and translating business problems into impactful ML solutions. The role operates in high-scale environments influencing revenue, operations, and user experience. 🗂️ Requirements: Experience with GenAI and LLM ecosystems, Experience building and deploying production ML models, Experience with pricing, marketplace, or fraud ML problems, Experience with feature engineering and ML pipelines, Experience with cloud ML services, Ability to productionize research prototypes, Experience running experiments and evaluating ML performance, Ability to design scalable ML systems, Proficiency in writing production-quality code 📃 Skills: Python, MachineLearning, LLM, GenAI, RAG, LangChain, LangGraph, SageMaker, Bedrock, AWS, GraphNN, KnowledgeGraphs, NetworkAnalysis, APIs, Experimentation 🏢 Description: At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. Responsibilities: Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions Contribute to team engineering standards — code quality, observability, documentation, and testing practices Experience: Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) Experience with pricing, marketplace, or fraud-related ML problems Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

🏢 Summary: Offer for a Junior Service Desk Specialist responsible for first-line IT support, handling user incidents, and registering and resolving tickets in accordance with procedures. The role involves phone-based support, basic incident resolution, and cooperation with internal teams. It is an entry-level position with on-site onboarding and development opportunities. 🗂️ Requirements: Knowledge of Windows 10/11, Knowledge of Microsoft 365, Ability to diagnose technical issues, Ability to resolve basic IT incidents, Ability to register and classify tickets according to procedures, Availability for on-site work during onboarding, Technical aptitude and willingness to learn 📃 Skills: Windows, Microsoft365, ServiceDesk, ITSupport, Ticketing, Helpdesk, Troubleshooting 🏢 Description: Twoje doświadczenie: jeśli je masz – fantastycznie! Jeśli nie, wystarczy, że masz zacięcie techniczne i jesteś chętny/a, by je zdobywać! Cześć, jesteśmy Aplitt!🚀 Parę faktów o nas: Jesteśmy dostawca usług IT dla biznesu - nasza firma to obecnie ok. 400 pracowników Główną siedzibę mamy w Gdańsku, zatem morza szum 🌊 i mew śpiew ⛱️ to nasza codzienność (choć część naszych pracowników jest rozproszona po całym kraju) Za nami już trzy dekady wspierania biznesów w cyfrowej transformacji – z pełnym zaangażowaniem i ludzkim podejściem! Tworzymy i utrzymujemy kompleksowe systemy informatyczne oraz dostarczamy rozwiązania zwiększające efektywność i automatyzację dużych i średnich przedsiębiorstw ( m.in poprzez monitoring infrastruktury IT, transformację cyfrową, programowanie, bezpieczeństwo informacji, call center, serwis IT). TL;DR? 😉 Zatem w pigułce 💊: Tryb pracy: stacjonarny, z możliwością przejścia na hybrydowy po okresie wdrożenia Umowa: UoP 4900 - 5000 PLN Start: od zaraz Twoje doświadczenie: jeśli je masz – fantastycznie! Jeśli nie, wystarczy, że masz zacięcie techniczne i jesteś chętny/a, by je zdobywać! Wyzwanie: udział w projektach, które rozwijają, uczą metodycznego i systematycznego działania, radzenia sobie z presją czasu i szlifują Twoją cierpliwość / współpraca przy zbieraniu wymagań, informacji od klienta, uzyskiwaniu konsultacji między działami / wspieranie działań Zespołu, kreatywność i otwarta głowa by być częścią całości, a jednocześnie samodzielną jednostką odpowiedzialną za własne zgłoszenia i doprowadzanie ich do szczęśliwej realizacji, ku satysfakcji klienta. Zespół: obecnie 13 osób: stanowiska od młodszego doradcy service desk, przez doradcę, starszego doradcę, experta, liderów, aż do kierownika. Rekrutacja: stacjonarnie, 1 etap (spotkanie, potem omówienie przebiegu i decyzja taka lub inna) Odpowiedź: po naszym spotkaniu, maksymalnie w 2 tygodnie *Widełki wynagrodzenia dotyczą stanowiska i zakresu obowiązków. Na ostateczną kwotę wynagrodzenia, mają wpływ doświadczenie i kompetencje kandydata. ❓ Za krótko? Zapraszamy dalej po szczegóły! ❓ Za krótko? Zapraszamy dalej po szczegóły! Cześć, jesteśmy Aplitt! Parę faktów o nas: Jesteśmy dostawca usług IT dla biznesu - nasza firma to obecnie 400 pracowników Główną siedzibę mamy w Gdańsku, zatem morza szum 🌊 i mew śpiew ⛱️ to nasza codzienność (choć część naszych pracowników jest rozproszona po całym kraju) Za nami już trzy dekady wspierania biznesów w cyfrowej transformacji – z pełnym zaangażowaniem i ludzkim podejściem! Tworzymy i utrzymujemy kompleksowe systemy informatyczne oraz dostarczamy rozwiązania zwiększające efektywność i automatyzację dużych i średnich przedsiębiorstw ( m.in poprzez monitoring infrastruktury IT, transformację cyfrową, programowanie, bezpieczeństwo informacji, call center, serwis IT). ZAKRES OBOWIĄZKÓW Jakie zadania czekają na Ciebie? W trakcie pracy będziesz: 1. Telefonicznie obsługiwał/a użytkowników 2. Obsługiwał/a telefon alarmowy 3. Realizował/a przydzielone zgłoszenia oraz udzielał/a informacji użytkownikom 4. Przyjmował/a i rejestrował/a zgłoszenia od użytkowników 5. Poprawnie klasyfikował/a zgłoszenia zgodnie z obowiązującymi procedurami 6. Informował/a użytkowników o statusie zgłoszenia 7. Uzupełniał/a informacje w zgłoszeniu w celu sprawnej realizacji zlecenia 8. Opisywał/a w zgłoszeniu czynności podjęte w celu realizacji zlecenia 9. Rozwiązywał/a zgłoszenia zgodnie z kompetencjami pierwszej linii wsparcia 10. Rozwiązywał/a proste incydenty WYMAGANIA Kogo szukamy? Podstawy, które musisz znać: Umiejętności techniczne: Znajomość systemów operacyjnych Windows 10/11 Znajomość pakietu Microsoft 365 Umiejętność diagnozowania i rozwiązywania problemów technicznych Umiejętności miękkie: umiejętność komunikacji, zdolności interpersonalne, umiejętność pracy zespołowej, oraz elastyczności i kreatywności w rozwiązywaniu problemów, odporność na stres, nastawienie na naukę i rozwój OFERUJEMY Co chcemy Ci zaproponować? Stabilność - zatrudniamy na podstawie umowy o pracę lub B2B. To dla nas ważne - średni czas pracy w Aplitt to 8 lat i jesteśmy z tego dumni! 26 dni płatnych „wakacji” (w modelu B2B). Tak, by naładować baterie i zachować balans. Najlepiej w przyjemnym, słonecznym miejscu ☀️⛱️ Elastyczność - pracujemy głównie hybrydowo. Warunek? Pierwsze 3 miesiące onboardingu i wdrożenia w Gdańsku - chcemy Cię dobrze poznać! Prywatna opieka medyczna Luxmed (w tym opieka stomatologiczna) karta Multisport eTutor, czyli platforma do nauki języków Mamy również pakiet socjalny dla pracowników. W praktyce to dofinansowania do Twojego urlopu, biletów na koncerty, kina, teatru... 📽️ Cykliczne imprezy integracyjne i spotkania świąteczne (dobrze wiemy, że nic nie integruje bardziej niż jedzenie i dobre rozmowy do rana 😉) Nie mamy klimatu korporacji - wszyscy mówimy do siebie po imieniu Nowych członków #teamaplitt witamy onboardingiem i szkoleniami, które mają wprowadzić Cię w świat naszej organizacji i usług Zespół - poznaj zadania i choć część osób z którymi będziesz współpracować: Nasz zespół stanowi 13 osób: Dorota będzie Twoim kierownikiem - osobą, na którą zawsze możesz liczyć. Wspiera, słucha z otwartością Twoich pomysłów i pomaga w rozwoju zawodowym, dbając o to, aby praca była efektywna, przyjemna i oparta na wzajemnym szacunku oraz partnerskiej współpracy. Ludzie pracujące w tym konkretnym Dziale Obsługi Klienta tworzą sympatyczny, energiczny i kompetentny Zespół, który szybko pomoże Ci wdrożyć się w nowe zadania i poczuć się częścią grupy. Wspólnie budują środowisko pełne wsparcia, twórczych pomysłów i dobrej, koleżeńskiej atmosfery. Dołączając do Zespołu, zyskasz możliwość pracy w inspirującym i wspierającym środowisku. Będziesz miał/a szansę na aktywne uczestnictwo w projektach zespołowych, a także realizowanie własnych pomysłów i zadań indywidualnych. Jeżeli cechuje Cię #otwartość i wiesz, że to klucz do rozwoju, z szacunkiem podchodzisz do różnorodności i potrafisz z niej korzystać, a dodatkowo lubisz #współpracować w zaangażowany sposób, z #odwagą dzielisz się swoimi pomysłami i cechuję Cię #efektywność działań - to znak, że pasujemy do siebie! 😉 💡 Chcesz poznać nas jeszcze bliżej? Zajrzyj tu: Instagram , LinkedIn , Facebook Brzmi dobrze?  Czekamy na Twoje CV!

🏢 Summary: Senior Product Manager role leading strategy, roadmap, and delivery of an AI-powered outbound sales (Dialpad Sell) solution. The position focuses on building and scaling B2B SaaS products with real-time AI, integrations, and data-driven capabilities to support revenue teams. You will work closely with engineering on technically sophisticated systems and drive product decisions from ideation to launch. 🗂️ Requirements: 8+ years building B2B SaaS products, Experience with sales communication or revenue insights products, Experience with sales engagement and workflow automations/integrations, Experience working with APIs, real-time systems, and data pipelines, Experience collaborating closely with engineering teams, Fluency in AI systems, Ability to define KPIs and use data for decision-making, Bachelor’s degree or equivalent practical experience 📃 Skills: AI, SaaS, APIs, Real-time, Data, Pipelines, Analytics, Integrations, Telephony, Compliance, Automation, KPIs 🏢 Description: About DialpadDialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a DialerAt Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.Your roleAs a Senior Product Manager for Dialpad Sell, you’ll lead the strategy, roadmap, and delivery of our AI-powered outbound sales solution. From seller-focused capabilities that support outbound sales engagement and workflow optimization to the tools and insights managers and leaders need to onboard and coach their teams effectively, your product will help revenue teams connect with prospects more effectively and close deals faster. This position reports to our Senior Director of Product Management and has the opportunity to be based in our Tempe, US Office. What you’ll do Own product strategy and roadmap for the Sell business line, defining what to build, when to do it, and why it matters. Develop a deep understanding of customer problems and business opportunities to inform and support product decisions and guide prioritization. Lead the ideation, design, specification, development, and release of solutions through the entire project lifecycle, leveraging strong working relationships with Engineering, Design, Marketing, and Sales. Maintain the quality of your product by identifying product and technical issues and actively developing and tracking solutions. Measure your impact through quantitative and qualitative data, connecting your work to the business outcomes that customers care about most. Champion your product, both internally and externally, to generate excitement and ensure alignment. Approach your role with a growth mindset and a willingness to roll up your sleeves to solve problems as they arise. Skills you’ll bring 8+ years of experience building a B2B SaaS product. Expertise and/or experience working on a sales communication or revenue insights product. This may include sales engagement and workflow automations/integrations, coaching & analytics, as well as telephony and compliance. Proven ability to lead complex products with multiple stakeholders and dependencies. Experience working closely with engineering teams on technically sophisticated systems (APIs, real-time systems, data pipelines). Fluency in AI systems and a passion for applying this technology both within the Dialpad product and to improve your daily work. A data-driven mindset with the ability to define KPIs and make informed trade-offs. Excellent communication skills — able to influence without authority and clearly articulate decisions. Comfort operating in ambiguity and driving clarity in fast-evolving environments. Bachelor's degree or equivalent practical experience. Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee’s impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI application development, and cross-functional collaboration to improve operational efficiency and scalability. Candidates will work with LLMs, workflow automation, and healthcare-related systems in a fast-moving, iterative environment. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Experience with large language models, prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with engineering and technical teams throughout implementation, Strong written and verbal communication skills, Ability to prioritize and drive outcomes in ambiguous environments 📃 Skills: Python, LLM, RAG, AI, LangGraph, AgentCore, FHIR, OMOP, HIPAA, GxP, EMR 🏢 Description: Iterative Health is transforming clinical research through AI, technology, and human expertise to improve patient outcomes. Through the Iterative Health Site Network — a network of 100+ clinical research sites across the US and Europe — the company helps expand and expedite access to novel therapeutics for patients in need. Why This Role Matters As a Forward Deployed AI Product Manager, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact - Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation - Translate complex operational challenges into well-defined AI solutions with measurable business outcomes - Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure - Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization - Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes - Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability - Work through the operational and technical details required to move solutions from proof-of-concept to production - Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities - Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy - Contribute to the evolution of the AI operating model, including tooling, evaluation methodologies, governance practices, and development standards - Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) - Perform related duties as requested You Might Thrive in This Role If - You enjoy operating in highly ambiguous environments and creating structure where none exists - You are equally effective working with executives, operators, engineers, and data scientists - You can quickly understand how people actually work and identify opportunities to improve workflows through technology - You value rapid experimentation and iterative learning over lengthy planning cycles - You have strong judgment about where AI adds value and where traditional solutions may be more appropriate - You are energized by building and deploying solutions that create immediate impact for users - You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: - Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience - Establish trusted partnerships with operational teams across the organization - Develop repeatable frameworks for evaluating and scaling AI applications - Identify and help operationalize reusable platform capabilities that accelerate future AI development - Drive meaningful adoption of AI solutions across key business functions How We Work - Collaborative and low-ego team environment - Fast-moving and highly iterative culture - Strong focus on ownership and accountability - Mission-driven and patient-centered mindset - Open communication and continuous learning - Comfortable navigating evolving business needs What You Bring to the Team - 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems - Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation - Strong technical fluency with modern AI development workflows and tooling - Experience collaborating directly with end users to understand business problems and translate them into scalable solutions - Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation - Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction - Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences - Demonstrated ownership mindset and bias toward action Preferred - Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) - Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role - Interest in growing toward a senior product role over time - Experience with agent frameworks, MCP servers, or production LLM evaluation tooling - Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) - Experience working with messy, real-world data and turning it into something useful Benefits That Support You - Hybrid work environment with in-office collaboration two days per week in either NYC or Boston office - Comprehensive medical, dental, and vision coverage - Mental health and wellness support - HSA or FSA options and commuter FSA contributions - Unlimited PTO, 12 company holidays, and company-wide shutdown between Christmas and New Years - 401(k) program with company match - Weekly in-office lunch benefit - Company-paid short-term and long-term disability coverage - Annual wellness and professional development stipend - And more

🏢 Summary: Hands-on Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows and agentic systems for clinical research operations. The position combines product management, AI development, and operational collaboration to improve efficiency, scalability, and user experience across healthcare research functions. The role offers hybrid work in NYC or Boston with strong benefits and opportunities to shape enterprise AI strategy and platforms. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, or production systems, Experience with large language models, Experience with prompt engineering, Experience with agent design, Experience with retrieval-augmented generation, Experience with workflow automation, Strong technical fluency with modern AI development tooling, Ability to collaborate with end users and translate business problems into scalable solutions, Familiarity with Python, Strong written and verbal communication skills, Ability to work with technical and non-technical teams, Ability to navigate ambiguity and drive outcomes 📃 Skills: Python, LLM, RAG, AI, LangGraph, FHIR, OMOP, HIPAA, GxP, EMR, AgentCore, SDK 🏢 Description: At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact • Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation • Translate complex operational challenges into well-defined AI solutions with measurable business outcomes • Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure • Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization • Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes • Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability • Work through the operational and technical details required to move solutions from proof-of-concept to production • Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities • Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy • Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards • Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) • Perform related duties as requested You Might Thrive in This Role If • You enjoy operating in highly ambiguous environments and creating structure where none exists • You are equally effective working with executives, operators, engineers, and data scientists • You can quickly understand how people actually work and identify opportunities to improve workflows through technology • You value rapid experimentation and iterative learning over lengthy planning cycles • You have strong judgment about where AI adds value and where traditional solutions may be more appropriate • You are energized by building and deploying solutions that create immediate impact for users • You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: • Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience • Establish trusted partnerships with operational teams across the organization • Develop repeatable frameworks for evaluating and scaling AI applications • Identify and help operationalize reusable platform capabilities that accelerate future AI development • Drive meaningful adoption of AI solutions across key business functions How We Work • Collaborative and low-ego team environment • Fast-moving and highly iterative culture • Strong focus on ownership and accountability • Mission-driven and patient-centered mindset • Open communication and continuous learning • Comfortable navigating evolving business needs What You Bring to the Team • 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems • Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation • Strong technical fluency with modern AI development workflows and tooling • Experience collaborating directly with end users to understand business problems and translate them into scalable solutions • Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation • Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction • Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences • Demonstrated ownership mindset and bias toward action Preferred • Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) • Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) • Interest in growing toward a senior product role over time — this role is designed as a natural bridge • Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling • Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) • Experience working with messy, real-world data and turning it into something useful without pretending it's clean Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. • Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office • Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health • Mental health and wellness support through Spring Health • Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health • Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years • 401(k) program with a company match of up to 3% (up to $3,000 annually) • Weekly in-office lunch benefit every Tuesday • 100% company-paid short-term and long-term disability coverage • Annual wellness and professional development stipend to support your health and growth • And more! New York pay range: $170,000—$250,000 USD

🏢 Summary: Forward Deployed AI Product Manager role focused on building and deploying AI-powered workflows for clinical research operations. The position combines product management, AI solution development, and cross-functional collaboration to improve operational efficiency and scalability in healthcare research environments. Candidates will work closely with engineering, data, and operational teams to deliver production-ready AI systems using modern LLM technologies. 🗂️ Requirements: 4+ years building and shipping software products, AI applications, technical solutions, or production systems, Hands-on experience with large language models, Experience with prompt engineering, agent design, RAG, evaluation frameworks, and workflow automation, Strong technical fluency with modern AI development workflows and tooling, Experience translating business problems into scalable technical solutions, Familiarity with Python, Ability to work with technical and non-technical stakeholders, Strong written and verbal communication skills, Ability to navigate ambiguity and prioritize effectively 📃 Skills: Python, LLM, RAG, LangGraph, FHIR, OMOP, HIPAA, GxP, AI, EMR 🏢 Description: Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. Why This Role Matters As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact - Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation - Translate complex operational challenges into well-defined AI solutions with measurable business outcomes - Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure - Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization - Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes - Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability - Work through the operational and technical details required to move solutions from proof-of-concept to production - Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities - Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy - Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards - Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%) - Perform related duties as requested You Might Thrive in This Role If - You enjoy operating in highly ambiguous environments and creating structure where none exists - You are equally effective working with executives, operators, engineers, and data scientists - You can quickly understand how people actually work and identify opportunities to improve workflows through technology - You value rapid experimentation and iterative learning over lengthy planning cycles - You have strong judgment about where AI adds value and where traditional solutions may be more appropriate - You are energized by building and deploying solutions that create immediate impact for users - You are comfortable moving between strategy, execution, and hands-on problem solving What Success Looks Like Within your first 12 months, you will: - Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience - Establish trusted partnerships with operational teams across the organization - Develop repeatable frameworks for evaluating and scaling AI applications - Identify and help operationalize reusable platform capabilities that accelerate future AI development - Drive meaningful adoption of AI solutions across key business functions How We Work - Collaborative and low-ego team environment - Fast-moving and highly iterative culture - Strong focus on ownership and accountability - Mission-driven and patient-centered mindset - Open communication and continuous learning - Comfortable navigating evolving business needs What You Bring to the Team - 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems - Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation - Strong technical fluency with modern AI development workflows and tooling - Experience collaborating directly with end users to understand business problems and translate them into scalable solutions - Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation - Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction - Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences - Demonstrated ownership mindset and bias toward action Preferred - Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services) - Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI) - Interest in growing toward a senior product role over time - Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling - Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP) - Experience working with messy, real-world data and turning it into something useful Benefits That Support You - Hybrid work environment with in-office collaboration two days per week in either NYC or Boston office - Comprehensive medical, dental, and vision coverage - Mental health and wellness support through Spring Health - HSA or FSA options and commuter FSA contributions - Unlimited PTO, 12 company holidays, and company-wide shutdown between Christmas and New Years - 401(k) program with company match - Weekly in-office lunch benefit - Company-paid short-term and long-term disability coverage - Annual wellness and professional development stipend

🏢 Summary: Senior Product Manager role leading the strategy, roadmap, and delivery of an AI-powered, cloud-based contact center solution. Responsible for defining and launching scalable, real-time systems that enhance agent workflows, analytics, and AI-driven capabilities. Partnering with engineering to build technically sophisticated B2B SaaS products that improve customer experience and operational efficiency. 🗂️ Requirements: 8+ years building B2B SaaS products, Strong knowledge of contact center workflows (agents, routing, IVR, WFM, QA, reporting), Experience with AI-driven product capabilities, Experience working with APIs, real-time systems, and data pipelines, Ability to define KPIs and use data for product decisions, Experience leading complex technical products with multiple dependencies, Bachelor’s degree or equivalent practical experience 📃 Skills: SaaS, AI, APIs, Realtime, Data, Analytics, IVR, Routing, WFM, QA, KPIs, Cloud 🏢 Description: About DialpadDialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a DialerAt Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.Your roleAs a Senior Product Manager, you’ll lead the strategy, roadmap, and delivery of our AI-powered contact center solution, Dialpad Support. From conception to launch, you’ll work closely with Engineering and Design to develop capabilities that shape how Dialpad’s customers provide services to their users (e.g., support, hotlines, etc.). By collaborating with marketing, sales, and CX, you’ll drive adoption and engagement with your product, ultimately helping every business deliver world-class customer experiences. Dialpad powers modern, cloud-based omnichannel customer engagement through agent experiences, supervisor tools, routing, analytics, and quality management, all infused with AI at the core. Your work will help our customers realize measurable improvements in agent efficiency, customer satisfaction, and business scalability. This position reports to our Product Management VP and has the opportunity to be based in our Austin Office. What you’ll do Own product strategy and roadmap for the contact center business line, defining what to build, when to do it, and why it matters. Develop a deep understanding of customer pain points and business opportunities across industries, segments, and geographies through research, data analysis, and direct engagement to inform and support your product decisions and guide prioritization. Lead the ideation, design, specification, development, and release of solutions through the entire project lifecycle, leveraging strong working relationships with Engineering, Design, Marketing, and Sales. Maintain the quality of your product by identifying product and technical issues and actively developing and tracking solutions for a product line used by thousands of agents and supervisors every day. Measure your impact through quantitative and qualitative data, connecting your work to the business outcomes that customers care about most. Champion your product, both externally and internally, to generate excitement and ensure alignment, including customer briefings and roadmap discussions. Approach your role with a growth mindset and a willingness to roll up your sleeves and solve problems as they arise. Balance short-term customer asks with long-term platform scalability and architectural integrity. Monitor the competitive landscape to inform differentiation and positioning. Skills you’ll bring 8+ years of experience building a B2B SaaS product. Strong understanding of contact center workflows (agents, supervisors, routing, IVR, reporting, WFM, QA, or AI-driven capabilities). Proven ability to lead complex products with multiple stakeholders and dependencies. Experience working closely with engineering teams on technically sophisticated systems (APIs, real-time systems, data pipelines). Fluency in AI systems and a passion for applying this technology both within the Dialpad product and to improve your daily work. Data-driven mindset with the ability to define KPIs and make informed trade-offs. Excellent communication skills — able to influence without authority and clearly articulate decisions. Comfort operating in ambiguity and driving clarity in fast-evolving environments. Bachelor's degree or equivalent practical experience. Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee’s impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success. Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

🏢 Summary: Software Engineer role on the AI Data team focused on building and scaling data collection and ingestion infrastructure to support large-scale model training. The position involves developing and operating cloud-based pipelines, sourcing audio data, and collaborating with scientists to optimize cost, quality, and throughput of petabyte-scale datasets. The engineer will help shape the dataset roadmap powering next-generation AI products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, Proficiency in Bash scripting, Proficiency in Python scripting, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider, Ability to manage and extend cloud infrastructure 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web-crawling, Data-processing 🏢 Description: 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 2025 Design Award winner for Inclusivity. 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 to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do Be scrappy to find new sources of audio data and bring it into our ingestion pipeline Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products. An Ideal Candidate Should Have BS/MS/PhD in Computer Science or a related field. 5+ years of industry experience in software development. Proficiency with bash/Python scripting in Linux environments Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) Experience with web crawlers, large-scale data processing workflows is a plus Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. 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. 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.

🏢 Summary: Software Engineer on the AI Data team responsible for building and scaling data collection and ingestion pipelines to support large-scale model training. The role focuses on sourcing audio data, operating cloud-based infrastructure, and optimizing cost, throughput, and quality of datasets. You will collaborate with scientists to deliver petabyte-scale datasets powering next-generation AI products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, Proficiency in Python scripting, Proficiency in Bash scripting, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code, Professional experience with a major cloud provider (GCP preferred), Experience building or maintaining data ingestion pipelines, Ability to manage large-scale data processing workflows 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Data, Crawlers, AI 🏢 Description: 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 2025 Design Award winner for Inclusivity. 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 to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do Be scrappy to find new sources of audio data and bring it into our ingestion pipeline Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products. An Ideal Candidate Should Have BS/MS/PhD in Computer Science or a related field. 5+ years of industry experience in software development. Proficiency with bash/Python scripting in Linux environments Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) Experience with web crawlers, large-scale data processing workflows is a plus Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. 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. 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.