Member of Technical Staff — Audio and Voice AI

🏢 Summary: The offer is for an MLOps / AI Engineer to design, implement and maintain AI/ML solutions for banking and financial sector projects. The role focuses on building MLOps environments, automating training and deployment processes, and managing cloud-based AI infrastructure in production. You will support the full lifecycle of ML models, including monitoring and optimization in production environments. 🗂️ Requirements: 3–4 years of experience as MLOps Engineer, AI Engineer, Machine Learning Engineer or similar, Strong knowledge of Python, Experience building and maintaining ML solutions in production environments, Experience with Docker and containerization, Experience with AWS, Azure or Google Cloud Platform, Knowledge of CI/CD and deployment automation, Experience working with Git, Knowledge of AI/ML model monitoring in production 📃 Skills: Python, Docker, AWS, Azure, GCP, CICD, Git, MLOps, MachineLearning, Monitoring, Cloud 🏢 Description: O projekcie Poszukujemy MLOps / AI Engineera do realizacji innowacyjnych projektów dla sektora bankowego i finansowego. Osoba na tym stanowisku będzie odpowiedzialna za projektowanie, wdrażanie oraz utrzymanie rozwiązań opartych o sztuczną inteligencję, uczenie maszynowe oraz nowoczesne platformy danych. Będziesz współpracować z zespołami Data Science, Data Engineering i DevOps, wspierając cały cykl życia modeli AI – od budowy środowisk treningowych po wdrożenie modeli na środowiska produkcyjne. Twój zakres obowiązków Projektowanie i rozwój środowisk MLOps wspierających wdrażanie modeli AI/ML Automatyzacja procesów trenowania, testowania oraz wdrażania modeli Budowa i utrzymanie pipeline'ów ML oraz Data Pipelines Monitorowanie jakości, wydajności i stabilności modeli produkcyjnych Współpraca z Data Scientistami oraz zespołami developerskimi Implementacja rozwiązań opartych o Generative AI i Large Language Models (LLM) Zarządzanie infrastrukturą chmurową wspierającą rozwiązania AI Tworzenie dokumentacji technicznej oraz dobrych praktyk w zakresie AI Engineering Optymalizacja kosztów i wydajności środowisk AI/ML Nasze wymagania Minimum 3–4 lata doświadczenia na stanowisku MLOps Engineer, AI Engineer, Machine Learning Engineer lub pokrewnym Bardzo dobra znajomość Python Doświadczenie w budowie i utrzymaniu rozwiązań Machine Learning w środowiskach produkcyjnych Znajomość Docker oraz konteneryzacji aplikacji Doświadczenie z platformami chmurowymi AWS, Azure lub Google Cloud Platform Znajomość CI/CD oraz automatyzacji procesów wdrożeniowych Doświadczenie w pracy z Git Znajomość zagadnień związanych z monitoringiem modeli AI Umiejętność współpracy z zespołami Data Science i Engineering Znajomość języka angielskiego na poziomie B2–C1 Mile widziane Doświadczenie z MLflow Znajomość Apache Airflow Doświadczenie z Kubernetes Praktyczna znajomość PyTorch lub TensorFlow Doświadczenie z Large Language Models (LLM) Znajomość frameworków takich jak LangChain, LangGraph lub LlamaIndex Doświadczenie z bazami wektorowymi (Pinecone, Weaviate, ChromaDB, Qdrant) Znajomość rozwiązań RAG (Retrieval-Augmented Generation) Doświadczenie w projektach Generative AI Znajomość Apache Kafka Doświadczenie w sektorze bankowym lub finansowym Oferujemy Udział w nowoczesnych projektach związanych ze sztuczną inteligencją i uczeniem maszynowym Możliwość pracy zdalnej lub hybrydowej Elastyczne godziny pracy Stabilną współpracę przy długoterminowych projektach Możliwość rozwoju kompetencji w obszarze AI, MLOps i Generative AI Pracę z najnowszymi technologiami chmurowymi i rozwiązaniami AI Współpracę z ekspertami Data Science, AI oraz Cloud Engineering Realny wpływ na rozwój innowacyjnych produktów i usług Atrakcyjne wynagrodzenie adekwatne do doświadczenia i kompetencji Jeżeli chcesz rozwijać rozwiązania oparte na sztucznej inteligencji, wdrażać modele ML na skalę produkcyjną oraz uczestniczyć w projektach wykorzystujących Generative AI i LLM – zapraszamy do aplikowania.

🏢 Summary: Software Engineer on the AI Data team responsible for building and scaling audio data ingestion pipelines to support large-scale model training. The role focuses on sourcing audio data, operating cloud infrastructure on GCP with Terraform, and collaborating with scientists to optimize cost, throughput, and quality of datasets. This position contributes to the dataset roadmap powering next-generation AI-driven audio products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with a major cloud provider (GCP preferred), Ability to manage multiple tasks and shifting priorities, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, WebCrawling, DataProcessing 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support model training operations. We build high-quality datasets at petabyte scale through tight integration of infrastructure, engineering, and research work. We are seeking a skilled Software Engineer to join the team. What You'll Do - Find new sources of audio data and bring them into the ingestion pipeline - Operate and extend the cloud infrastructure for the ingestion pipeline, currently running on GCP and managed with Terraform - Collaborate closely with Scientists to improve cost, throughput, and quality of datasets, delivering richer data at larger scale and lower cost - Collaborate with the AI Team and leadership to craft the dataset roadmap powering 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 - Professional experience with at least one major Cloud Provider (GCP preferred) - Experience with web crawlers and large-scale data processing workflows is a plus - Ability to handle multiple tasks and adapt to changing priorities - Strong written and verbal communication skills What We Offer - A fast-growing environment with opportunity to shape the product - An entrepreneurial-minded team that supports risk-taking and initiative - Hands-off management approach focused on autonomy - Opportunity to make significant impact in the AI and audio industry - Competitive salary, bonus, and equity - Commitment to building a strong asynchronous culture - Opportunity to work on products supporting people with learning differences Compensation The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience. Speechify is committed to a diverse and inclusive workplace and does not discriminate on the basis of legally protected characteristics.

🏢 Summary: Senior Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position involves driving AI-powered solutions, shaping cloud-native architecture on AWS, and solving complex scalability and performance challenges across distributed systems. The role operates across multiple teams, influencing technical strategy and mentoring senior engineers. 🗂️ Requirements: 8+ years of software engineering experience, Experience designing and delivering large-scale SaaS applications, Experience with complex distributed systems, Strong backend expertise in Python and/or PHP, Strong system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS cloud environments, Experience with CI/CD pipelines and observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position drives cross-team architectural decisions, scalability improvements, and adoption of AI-powered and LLM-based solutions. It emphasizes system-level impact, mentorship of senior engineers, and cloud-native platform evolution. 🗂️ Requirements: 8+ years software engineering experience, Experience designing large-scale SaaS applications, Experience with distributed systems, Strong backend expertise in Python or PHP, Solid system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS environments, Experience with CI/CD pipelines, Experience with observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Software Engineer role on the AI Data team focused on building and operating large-scale audio data ingestion pipelines to support model training. The position involves developing cloud infrastructure on GCP, integrating new audio data sources, and collaborating with AI researchers to optimize cost, scale, and data quality. This is a high-impact role contributing to next-generation AI-powered consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash and Python scripting, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web-crawlers, Data-processing 🏢 Description: 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 Leadership to craft the AI Team's dataset roadmap to power 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 (GCP) - Experience with web crawlers and 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 salary, bonus, and equity depending on experience - Opportunity to work on a product used by millions of people - Work in the fast-growing sector at 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.

🏢 Summary: Opportunity to join a newly formed AI team in the banking sector to build a modern AI-native platform from scratch. The role focuses on designing and delivering production-grade solutions using LLMs, RAG, and agent-based architectures, while shaping AI strategy and architectural decisions. You will develop secure, transparent, and scalable AI systems that drive real business value in a regulated financial environment. 🗂️ Requirements: At least 3 years of experience in AI/ML, Minimum 5 years of experience in product development, Strong Python skills, Hands-on experience with LLMs, RAG, and agent-based systems in production, Experience with AI frameworks such as Agno, LangChain, LlamaIndex or similar, Knowledge of prompt engineering and AI model evaluation, Experience with Azure or AWS, Understanding of vector databases and embeddings, Experience with workflow orchestration tools (Temporal, Prefect, Airflow), Ability to design scalable and reliable AI solutions, Experience in model monitoring and MLOps practices, Ability to make architectural decisions and assess business value of AI, Fluent English 📃 Skills: Python, LLM, RAG, LangChain, LlamaIndex, Agno, Azure, AWS, Temporal, Prefect, Airflow, MLOps, Embeddings, VectorDB 🏢 Description: We are looking for an experienced Senior AI Engineer to join a newly formed AI team delivering a strategic initiative in the banking sector. This is a unique opportunity to co-create a modern AI-native platform from scratch and influence the direction of AI within the organisation. In this role, you will design and develop solutions based on LLMs, RAG systems, and agent-based architectures to support data integration and transformation processes. You will contribute to key decisions around AI strategy, model selection, architecture, and quality standards. We are seeking a candidate with strong technical skills and hands-on experience in building production-grade AI solutions—someone who understands where AI brings real business value and can deliver high-quality, transparent, and secure solutions in a financial environment. Your tasks Design and develop solutions based on LLMs, RAG, and agent-based architectures Co-create and execute an AI strategy for a modern banking platform Select models, frameworks, and approaches for production-grade AI solutions Build systems for data integration, transformation, and validation automation Define prompt engineering, model evaluation, and AI quality standards Develop monitoring, evaluation, and continuous improvement mechanisms Collaborate with engineering and product teams on new features Ensure high quality, transparency, and auditability of AI outputs Contribute to key architectural decisions and AI direction Mentor and share knowledge within the AI team Requirements At least 3 years in AI/ML and a minimum of 5 years in product development Strong Python skills Hands-on experience with LLMs, RAG, and agent-based systems in production Familiarity with frameworks such as Agno, LangChain, LlamaIndex, or similar Knowledge of prompt engineering and AI model evaluation Experience with Azure or AWS Understanding of vector databases and embeddings Experience with workflow orchestration tools (e.g., Temporal, Prefect, Airflow) Ability to design scalable, reliable AI solutions Experience in model monitoring and MLOps practices Capability to make architectural decisions and assess the business value of AI Strong collaboration skills with technical and business stakeholders Fluent English Nice-to-have requirements Previous work in financial services, fintech, or other regulated industries Knowledge of compliance, auditability, and AI security Familiarity with MLOps and large-scale ML/LLM deployments Experience fine-tuning open-source models for specific domains Proven track record in developing AI solutions for data platforms, analytics, or SaaS products Background in AI R&D projects Publications, conference speaking, or open-source contributions Experience building and scaling technical teams What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 Summary: Staff Software Engineer role focused on building and scaling LLM-based backend systems for insurance submission processing using AI and cloud technologies. The position involves owning end-to-end technical decisions, designing scalable architectures, and processing large volumes of unstructured data for high-stakes insurance workflows. The role offers significant ownership, competitive compensation, equity, and collaboration with a distributed engineering team. 🗂️ Requirements: 8+ years of software engineering experience, Strong system design, debugging, and problem-solving skills, Experience deploying LLMs in production at scale, Experience with AWS and serverless technologies, Experience with asynchronous workflows and cloud environments, Proficiency in Python or strong object-oriented programming background, Experience with relational databases, Ability to own projects end-to-end with minimal oversight, Strong proactive communication skills 📃 Skills: Python, AWS, Lambda, EC2, PostgreSQL, LLM, SQL, Serverless, Cloud, Backend, AI 🏢 Description: About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $100k – $185k USD* We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff engineer on the Submission Processing team, you’ll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team. You’ll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 8+ years of software engineering experience. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. Have worked with LLMs in production and understand what it takes to deploy them at scale. Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Know Python (our main stack), though we’re open to strong candidates from other OO backgrounds Are comfortable with relational databases, ideally PostgreSQL. Are excited by problems others are struggling with. Bonus: experience with document pipelines and processing large amounts of data What you’ll get: Competitive salary (based on experience level*). Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $7T global industry. 20 days of PTO a year. Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon, 2025 - Cartagena) Healthy living/gym stipend. Mobile phone bill stipend. Continuing education credits. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Software Engineer on the AI Data team responsible for building and operating large-scale audio data ingestion pipelines to support model training. The role focuses on sourcing audio data, extending cloud infrastructure on GCP with Terraform, and collaborating with scientists to optimize cost, throughput, and data quality at petabyte scale. This position directly powers next-generation AI-driven consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code concepts, Professional experience with a major cloud provider, Strong communication skills (written and verbal) 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web, Data, AI 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support our model training operations. We build high-quality datasets at petabyte-scale and low cost through 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 Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power next-generation models - Collaborate with others on the AI Team and Leadership to craft the dataset roadmap to power 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 (GCP) - Experience with web crawlers and 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, bonus, and equity depending on experience - A friendly and laid-back atmosphere with a commitment to building a strong asynchronous culture - Opportunity to work on a product used by millions of people - Work in the fast-growing intersection of artificial intelligence and audio

🏢 Summary: Software Engineer on the AI Data team responsible for building and scaling data collection and ingestion infrastructure to support large-scale model training. The role focuses on sourcing audio data, operating cloud-based pipelines on GCP, and collaborating with scientists to optimize dataset quality, cost, and throughput. This position directly powers next-generation AI models through petabyte-scale data engineering. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, WebCrawlers, DataProcessing 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support our model training operations. We build high-quality datasets at petabyte scale and low cost through 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 Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power next-generation models - Collaborate with the AI Team and Leadership to craft the dataset roadmap for 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 (GCP used) - Experience with web crawlers and 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 salary, bonus, and equity depending on experience - Opportunity to work on a product used by millions of people - Work at the intersection of artificial intelligence and audio