Technical Product Manager

🏢 Summary: Technical Product Manager role leading end-to-end delivery of AI and LLM-powered solutions integrated with SAP enterprise systems. Responsible for translating business needs into technical execution, coordinating cross-functional teams, and ensuring successful deployment from POC to MVP. Focused on integrating AI solutions within complex SAP landscapes and multi-component architectures. 🗂️ Requirements: 5+ years in product management, technical program management, or engineering leadership, Strong understanding of GenAI, LLMs, AI agents, vector databases, Experience integrating AI solutions with SAP (S/4HANA, ECC, BTP), Experience with SAP data extraction and API/OData integrations, Ability to document technical requirements and data flows, Experience coordinating complex technical deliveries, Stakeholder management with senior executives 📃 Skills: GenAI, LLM, SAP, S/4HANA, ECC, BTP, OData, APIs, VectorDB, AI, POC, MVP 🏢 Description: Technical Product Manager – AI / SAP Integration Role Overview: We are seeking a Technical Product Manager to drive AI- and LLM-powered solutions from concept to deployment. You will act as the owner of AI initiatives, translating business goals into technical execution, coordinating cross-functional teams, and keeping stakeholders aligned throughout the lifecycle. Key Responsibilities: Lead end-to-end delivery of AI/LLM use cases, from requirements and POCs to MVPs. Integrate AI solutions with enterprise systems, including SAP (S/4HANA, ECC, SAP BTP), aligning with existing processes and architecture. Collaborate closely with business stakeholders, providing updates, demos, and maintaining transparent communication. Document technical and business requirements, including data flows, transformations, and AI outputs. Coordinate developers, architects, designers, and data teams to ensure solutions meet expectations. Manage multiple initiatives simultaneously, prioritizing effectively and ensuring smooth execution. Support operational readiness until formal support structures are in place. Qualifications & Experience: 5+ years in product management, technical program management, or engineering leadership. Solid technical understanding of GenAI / LLMs, multi-component architectures, AI agents, and vector databases. Experience integrating AI solutions with SAP, including data extraction, API/OData integrations, and working with SAP functional/technical teams. Exceptional stakeholder management skills and ability to communicate effectively with senior executives. Proven track record coordinating complex technical deliveries and removing roadblocks proactively.

🏢 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: Senior Technical Product Manager role focused on analytics products for conversational AI platforms, including data services, reporting tools, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams to deliver scalable SaaS analytics solutions. Fully remote role with benefits, focused on enterprise-scale conversational data and analytics capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience with SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of high-scale data processing, Experience with event-driven architectures, Knowledge of cloud infrastructure, Experience developing product strategy and roadmaps, Strong analytical and data interpretation skills, Experience working with enterprise customers, Ability to collaborate with cross-functional technical teams 📃 Skills: SaaS, Analytics, ETL, BI, AI, ML, Cloud, SQL, Datawarehousing, Reporting, Visualization, KPIs 🏢 Description: Position Overview As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, and Data Transporter. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. As the Senior Product Manager for Analytics, you will lead the development and execution of Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from conversational data. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. - Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. - Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. - Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms. - Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment. - Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions. - Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams. - Experience working with enterprise customers on their reporting and analytics needs. - Passion for innovation, creativity, and solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data. - Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data into analytical data stores. - Conversational Intelligence Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection. Salary The salary range for this role is between $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance - Wellness resources and Employee Assistance Program (EAP) Financial Security & Growth - 401(k) retirement plan with employer match - HSA & FSA plans - Employee Stock Purchase Program (ESPP) - Additional insurance coverage options - Professional development resources Time Away & Family Support - Flexible Paid Time Off (PTO) - Paid public holidays - Generous parental leave policy Workplace Flexibility - Fully remote work model with optional collaborative workspace access Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing reasonable accommodations for applicants with disabilities.

🏢 Summary: Product Manager role responsible for owning and evolving a customer-facing checkout product within a subscription commerce environment. The position focuses on driving conversion optimization, defining product strategy and roadmap, and leading Program Increment execution within a SAFe framework. The role requires strong expertise in payments, data-driven decision-making, and AI-augmented product practices to deliver measurable revenue impact. 🗂️ Requirements: Proven Product Manager experience with customer-facing checkout or payment products, Demonstrated track record of improving conversion or revenue metrics, Strong expertise in checkout, payments, and subscription commerce, Hands-on experience with Stripe, Experience working within payment provider ecosystems, Experience with Scrum and SAFe frameworks, Ability to define product strategy and manage program-level backlog, Experience with ROI analysis and data-driven product decisions, Proficiency in AI-augmented product discovery and analysis, Professional working proficiency in English 📃 Skills: Stripe, SAFe, Scrum, AI, Analytics, ROI, Payments, Checkout, Subscriptions, UX, Roadmapping, WSJF, RICE, KPIs, OKRs 🏢 Description: Purpose and mission The Product Manager (PM) is the strategic owner of one or multiple product areas within Piano's portfolio. The PM translates business goals, market signals, and client insights into a compelling product vision and a prioritized program backlog. They work at the intersection of business strategy, client value, product marketing, product design and technology feasibility, ensuring that the right things get built, in the right order, for the right reasons. In the SAFe 6 model, the PM operates at the Agile Release Train level, driving the Program Increment (PI) and empowering Product Owners to execute with confidence and autonomy. In an AI-accelerated product landscape, a PM at Piano is expected to actively leverage AI tools to sharpen market analysis, accelerate discovery, generate insights from data, and move faster at every stage of the product lifecycle. AI fluency is not optional, it is a force multiplier for every other responsibility in this role. The Checkout PM owns Piano's customer-facing checkout surface — the conversion-critical flow where end users make a subscription purchase. This role requires a PM who is fluent in conversion optimization and UX. Core responsibilities Product Vision & Strategy Define and maintain a clear, compelling product vision for Piano's checkout, aligned with Piano's broader subscription strategy. Develop and own the checkout roadmap over a 3–12 month horizon, balancing new capabilities, technical quality, and business priorities. Conduct ongoing market and competitive analysis to identify opportunities, threats, and strategic positioning — particularly at the boundary between Piano's checkout and payment provider capabilities. Define and communicate product positioning, target segments, and go-to-market priorities in collaboration with Marketing and Sales. Backlog Ownership at Program Level Own and maintain the checkout Program Backlog (Features and Enablers) in collaboration with Product Leadership, Architects and other PMs. Prioritize features using value-based frameworks (WSJF, RICE, business impact, strategic fit) and maintain a rolling, well-groomed backlog at all times. Lead PI Planning preparation for checkout: define PI Objectives, present the roadmap to the ART, and make prioritization decisions during planning. Validate Feature acceptance criteria before development begins and approve Features upon delivery. Stakeholder Alignment & Communication Serve as the primary voice of the customer and the market within the ART for checkout-related work, translating needs into Features the team can act on. Collaborate closely with Sales, Pre-Sales, Customer Success, and Support to gather and synthesize client feedback and market signals. Communicate the roadmap and strategic priorities clearly and consistently to all relevant stakeholders, including executive leadership. Represent the product in customer-facing contexts: executive meetings, key account workshops, conferences and strategic partnership discussions. Business & Performance Management Define and monitor checkout product KPIs and OKRs, with particular focus on conversion metrics, completion rates, and revenue impact. Conduct product ROI analysis to justify investment decisions and support budget and resource discussions. Manage the checkout product lifecycle from inception to end-of-life, making proactive portfolio decisions in collaboration with Product Leadership. Go-to-Market & Launch Lead the go-to-market strategy for new checkout capabilities and major releases: beta programs, internal training, sales enablement, and release communication. Collaborate with Marketing and PMM teams to produce effective product messaging and promotional materials. Define and oversee the internal release process to ensure teams are prepared before customer-facing delivery. Collaboration model The PM does not work in isolation. Success in this role depends on effective collaboration: With Product Owners: PMs provide strategic context, prioritized Features, and clear acceptance criteria. POs translate these into actionable stories. The PM should be a trusted partner and enabler for POs, not a bottleneck. With Product Leadership (at the ART and Portfolio levels): PMs are accountable for roadmap quality and strategic alignment. Key decisions on scope, investment, and positioning are made in close consultation with Product Leadership. With Architecture & Engineering: PMs work with Architects to understand technical constraints and enablers. Technical feasibility informs prioritization and roadmap planning. With Product Design: The PM sets the user experience ambition, defining the problems to solve, the user outcomes to target, and the quality bar expected. For checkout, conversion impact is a core input to design decisions. With Customer Success, Consulting & Support: The PM ensures proactive knowledge transfer before releases, clear internal documentation, and well-defined escalation processes, so that client-facing teams can resolve issues and answer questions with confidence, without systematically falling back on Product. With GTM teams: PMs are responsible for enabling Sales, Pre-Sales, and Marketing to confidently present and sell the product at all times. What success looks like The checkout roadmap is clear, up-to-date, and well understood by all stakeholders. PI Objectives are ambitious yet realistic and are consistently met or exceeded. Product Owners feel empowered, well-informed, and able to operate autonomously. Checkout drives measurable business value: conversion rates, completion rates, revenue impact, and client satisfaction. The team builds the right things, validated by client outcomes, not just delivery volume. Field teams (Pre-sales, Sales, Client success…) are informed ahead of releases, equipped with the right materials, and feel like active contributors to the product roadmap, not just recipients of it. Strategic changes and trade-offs are communicated proactively and with confidence. Key competences Hard skills Domain expertise in checkout, payments, and subscription commerce Hands-on experience with Stripe strongly preferred Front-end product instinct and design sensibility (for working closely with design and engineering on user-facing surfaces) Market & competitive intelligence Product strategy & roadmapping Business case development & ROI analysis Scrum, SAFe and Agility at scale Data-driven decision making Working proficiency in English AI-augmented product practices (discovery, analysis, synthesis, prototyping, internal tooling) Required experience Demonstrated PM experience leading customer-facing checkout, payments, or subscription purchase surfaces Track record of measurable conversion or revenue improvements through checkout iteration Experience working in or alongside payment provider ecosystems (Stripe experience strongly preferred) Understanding of subscription lifecycle economics preferred — how checkout decisions affect not just conversion but downstream retention, LTV, and recurring revenue Employment & benefits B2B contract Hybrid work model Benefits: 20 days of paid leave, Lunch Card, Luxmed

🏢 Summary: AI Product Manager role focused on leading AI-powered features such as AI assistants, document intelligence, and dashboards, with strong emphasis on building and managing LLM-based products in production. The role covers full product lifecycle ownership, defining quality and reliability standards, and making strategic decisions on AI usage within enterprise platforms. Requires deep understanding of embeddings, retrieval, evaluations, tool calling, MCP, and orchestration in real-world environments. 🗂️ Requirements: Experience building and launching AI or LLM-based products in production, Understanding of embeddings, document retrieval, evaluations, tool calling, MCP, and AI limitations, Experience defining and managing product roadmaps, Experience working with Agile/Scrum methodologies, Ability to use Jira or similar project management tools, Bachelor’s degree in Economics, Business, Computer Science, or related field 📃 Skills: LLM, Embeddings, Retrieval, Evaluations, ToolCalling, MCP, Orchestration, Agile, Scrum, Jira, Analytics 🏢 Description: We are looking for a Product Manager who understands how LLM products work in real business environments. This includes embeddings, document search, evaluations, tool and function calling, MCP, orchestration, and system reliability. Overview We are an AI-focused enterprise solutions company that works with public and private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four offices worldwide, our global team includes more than 300 engineers and delivery specialists. By bringing data together, automating workflows, and providing predictive insights, we help organizations improve operations and make better business decisions in complex environments. The Opportunity We are hiring an AI Product Manager to lead our AI product area, including our AI assistant, document intelligence tools, and AI-based dashboards and reporting features. We need a PM who understands how LLM products work in production, including embeddings, document retrieval, evaluations, tool and function calling, MCP, orchestration, and reliability. Responsibilities Create product vision and roadmaps for AI-powered features across our platform. Manage the full product lifecycle from idea to launch. Work closely with engineering, design, QA, marketing, and other teams to deliver successful product releases. Define quality and reliability standards for AI features, including evaluations, permissions, response speed, and error handling. Make strong product decisions about when to use AI, when to use standard UX solutions, and how to combine both effectively. Support daily project management activities and improve product development processes using Agile methods. Conduct market and customer research to understand user needs, analyze data, and help prioritize product features. Requirements Experience building and launching AI or LLM-based products in production, preferably in data, analytics, automation, or developer platforms. Understanding of embeddings, evaluations, tool calling, MCP, and the limits of AI products. Ability to take ownership of product roadmap planning and execution. Good understanding of Agile/Scrum methods and tools such as Jira. Strong communication skills and ability to work with both technical and non-technical teams. Strong analytical and problem-solving skills, with the ability to explain product decisions clearly. Bachelor’s degree in Economics, Business, Computer Science, or a related field.

🏢 Summary: Technical Project Manager / Feature Owner responsible for end-to-end delivery of product features, translating business needs into actionable technical plans and driving execution with engineering teams. The role combines hands-on technical understanding with sprint management and stakeholder communication. Involves close collaboration with engineers and optional AI/ML integration within the product ecosystem. 🗂️ Requirements: Proven experience in software development environments, Ability to discuss APIs, system architecture, and databases, Experience as Engineering Manager, Team Lead, or Senior Developer, Experience translating business requirements into technical specifications, Experience managing sprints and mitigating technical risks, Strong technical stakeholder communication skills, Degree in Computer Science, Engineering, or related field 📃 Skills: APIs, Architecture, Databases, Agile, Scrum, AI, ML, Roadmapping, Sprints, Backlog, SQL, REST 🏢 Description: The Role We are looking for a Technical Project Manager who acts as a bridge between high-level business strategy and hands-on engineering execution. This isn't a "spreadsheet-only" PM role. We need a Feature Owner —someone who understands the "how" as much as the "what." Whether you are a former Software Engineer looking to pivot into leadership, or an Engineering Manager who misses the thrill of driving technical delivery without the burden of people management, this role is for you. Key Responsibilities Feature Ownership: Take full end-to-end responsibility for specific product features, from initial technical grooming to production release. Technical Roadmap: Translate business requirements into clear, actionable technical specifications for the development team. Bridge the Gap: Act as the primary translator between stakeholders and engineers, ensuring technical constraints are understood and business value is delivered. Delivery Excellence: Manage sprints, mitigate technical risks, and remove blockers to keep the development velocity high. AI/ML Integration (Nice to Have): Collaborate with Data Scientists and ML Engineers to integrate machine learning models into the core product ecosystem. What You Bring (Requirements) Software Background: Proven experience working directly within software development environments. You should be comfortable talking about APIs, system architecture, and databases. "Builder" Mindset: Experience (even "light") as an Engineering Manager, Team Lead, or Senior Developer who has a natural talent for project coordination. Pragmatism: Ability to balance technical debt with the need for rapid feature delivery. Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders. Education: Degree in Computer Science, Engineering, or a related technical field is preferred. Bonus Points Hands-on experience or a strong theoretical understanding of Machine Learning (ML) workflows. Experience with Agile/Scrum methodologies in a fast-paced startup or scale-up environment.

🏢 Summary: Senior Technical Product Manager role focused on building and scaling analytics products for conversational AI data, including reporting tools, data services, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams in a fully remote environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience launching and managing SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of reporting systems and high-scale data processing, Experience with event-driven architectures and cloud infrastructure, Ability to define product strategy and manage product roadmaps, Strong analytical and data-driven decision-making skills, Experience working in agile environments, Experience collaborating with Data Engineering and Data Science teams, Experience with enterprise customer reporting and analytics needs 📃 Skills: SaaS, Analytics, BI, ETL, AI, ML, SQL, Cloud, KPIs, Datawarehousing, Reporting, Visualization, Agile 🏢 Description: As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data Services, Analytics Studio, Report Center, and Data Transporter. The role focuses on defining strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. Position Overview You will lead the development and execution of Analytics capabilities, collaborating with Engineering, Data Science, Sales, and Customer Success teams to define product strategy, prioritize features, and deliver scalable and reliable analytics solutions. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center. - Manage the product roadmap for Data Services and Data Transporter. - Ensure timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Collaborate with Data Science and Engineering teams to integrate AI/ML-driven insights into analytics products. - Define and track KPIs and data quality metrics for data pipelines and analytic tools. - Translate complex data requirements into clear technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management with SaaS analytics and reporting products. - Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Ability to define and execute product strategy in a fast-paced agile environment. - Strong analytical and communication skills. - Experience working with enterprise customers on analytics and reporting needs. - Passion for solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports and dashboards. - Data Transporter & Data Services: ETL infrastructure and pipelines for conversational data. - Conversational Intelligence Analytics: AI/ML-powered insights such as sentiment analysis, topic clustering, and intent detection. Salary - Salary range: $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance. - Wellness resources and Employee Assistance Program. Financial Security & Growth - 401(k) retirement plan with employer match. - HSA & FSA plans. - Employee Stock Purchase Program. - Life, disability, legal, and identity protection insurance. - Professional development resources. Time Away & Family Support - Flexible Paid Time Off. - Paid public holidays. - Generous parental leave policy. Workplace Flexibility - Fully remote work model with optional WeWork collaboration spaces. Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing equal employment opportunities for all qualified applicants. Accessibility Commitment Reasonable accommodations are available for applicants with disabilities.

🏢 Summary: Technical Product Manager role focused on building and scaling AI capabilities at the platform and backend level, powering multiple products. The position bridges product strategy and deep engineering collaboration, shaping AI-driven features, APIs, and infrastructure for reliability and scalability. You will own end-to-end product delivery for AI and cloud services, translating business needs into robust technical solutions. 🗂️ Requirements: Technical background in software development or hands-on engineering role, Ability to read code and participate in architecture discussions, Experience working with backend or platform products, Strong understanding of LLMs and AI system design, Experience with APIs and service architecture, Ability to define and manage technical product requirements, Experience delivering scalable and reliable technical solutions, Fluent English communication skills 📃 Skills: AI, LLMs, APIs, Backend, Architecture, Cloud, Infrastructure, Prompting, Observability, Permissions, RateLimiting, Streaming, ModelManagement, Evaluations 🏢 Description: We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Description: As a Technical Product Manager, you will help shape how AI becomes a real product capability across CKEditor. This role sits at the intersection of product thinking, engineering depth, and developer empathy. You’ll work closely with engineers, designers, and business stakeholders to turn AI opportunities into product decisions that are useful, scalable, and worth shipping. When this role works well, teams move faster, product decisions get sharper, and AI capabilities feel like a real extension of the product rather than a layer added on top. You won’t just help define features. You’ll help define how we build in this space. You'll work on the backend and platform layer that powers multiple products across CKEditor. This department includes the AI Services team, which focuses on agent harnessing, model management and evaluations, streaming, rate limiting, and permissions, as well as Cloud Services teams responsible for real-time collaboration infrastructure. What those teams share is a platform-first mindset: you need to care about APIs, service architecture, and the reliability that many products and teams depend on every day. On the AI side, you also need to understand what LLMs can and can't do, and why that matters at the infrastructure level. If you have a stronger background with the product surface and the design - and would like to continue growing in that direction - take a look at our counterpart role, Technical Product Manager. Key responsibilities: Help shape the product vision and roadmap for our features. Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now. Collaborate with engineering teams to translate business needs into technical requirements. Manage the product lifecycle from conception through release. Define and track product requirements, and ensure delivery of high-quality and scalable solutions. Coordinate with sales, marketing, and support teams to maximize product success. To be successful in this role you need the following: Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice. You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands. You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them. You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product leaders, technical leaders, and go-to-market teams, and you can discuss this work credibly with engineers and executives while driving clarity and momentum without formal authority. You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience. Experience that helps: We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about: You've worked on platform or backend products that serve multiple teams or product surfaces. You understand the difference between shipping a feature once and building a capability others will depend on every day. You can discuss prompt engineering, model behavior, evaluations, and operational tradeoffs without hand-waving. You know that AI quality is not just about picking a model; it's about system design, guardrails, iteration, and measurement. You've worked with APIs, service architecture, observability, permissions, rate limits, or other platform concerns that determine whether a technical product is reliable at scale. Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 22.000 - 28.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day – our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 26 days of paid leave for our contractors. 2 weeks of paid parental leave for our contractors. Recruitment process: HR interview, ~ 45 min Interview with the Hiring Manager (Senior Technical Product Manager) and the Engineering Manager, ~ 1,5h Interview with the Director of Engineering, ~ 30 min In person deep dive task

🏢 Summary: Full-time Product Manager role focused on defining and executing the roadmap for low-code/no-code builder capabilities within an enterprise AI-native SaaS platform. The position involves integrating prototypes, scaling platform features, and collaborating cross-functionally with engineering, AI, and data teams to deliver robust, configurable solutions. Requires strong technical fluency in backend systems and experience shipping infrastructure or platform services in B2B environments. 🗂️ Requirements: U.S. Citizenship, 5+ years Product Management experience in B2B SaaS, ERP, or highly configurable industry platforms, Experience shipping infrastructure or platform services, Fluency in backend systems concepts (authentication/authorization, data schemas, distributed systems), Expert-level SQL, Familiarity with Python, Experience with GitLab or GitHub, Understanding of microservices, caching, permissions models, and event systems, Familiarity with LLM-based systems and workflow tradeoffs, Bachelor's degree in business or technology-related field 📃 Skills: SQL, Python, GitLab, GitHub, Microservices, DistributedSystems, APIs, LLM, DataSchemas, Authentication, Authorization, Caching, EventSystems 🏢 Description: Job Description We are seeking an experienced product manager to build a strategy and execute against a roadmap to mature our low-code / no code builder experiences. You will be responsible for prioritizing, rationalizing, and integrating existing prototypes into the platform as well as developing new platform capabilities that serve our customers at scale. This is an individual contributor reporting to the SVP of Product. You are responsible for thinking broadly across the communities we serve and delivering solutions that provide value to a wide range of customers. You'll partner with other PMs and our engagement and implementation teams to scale "in-the-field" solutions and improve the configurability and adaptability of our platform. You should be highly motivated by striking a balance between building solutions that are robust and scalable and meeting customer needs. In order to do this job well, you must possess exceptional judgment when it comes to identifying opportunities to deliver customer value in a productized way, as well as in the relative prioritization of those opportunities. You must work effectively cross-functionally in often ambiguous circumstances, distilling market opportunities to a clear set of objectives and solutions, and articulating the value of those solutions both internally and externally. In a typical week, you could expect to: - Spend several days on site with users (internal and external), seeking to understand how users across a variety of accounts utilize Air Enterprise Readiness platform to relieve pain points and triangulate the commonalities to build new, valuable workflows in the Air Enterprise Readiness platform. - Draft clear and compelling articulation of customer problems, and what a good solution to those problems would look like in the Air Enterprise Readiness platform. - Partner with the other PMs and go-to-market team to help assess opportunities and understand the degree to which customer requirements align with product capabilities and roadmap - Define how those solutions deliver value across a wide range of customer environments and determine what features are necessary to support broad adoption of the solution. - Collaborate with engineering and design teams to deliver the most promising capabilities. - Do competitive analysis to understand what the table stakes capabilities are and what differentiators. This role may require up to 50% travel. Scope of Responsibilities - Define and prioritize the builder roadmap, balancing technical debt with high-impact UI improvements - Act as the "Internal PM" for our customer teams, ensuring they have the platform tools (APIs, UI components) they need to build faster - Spend time with power users to understand where the UI creates "friction" and translate those pains into elegant functional requirements - Partner with internal engineering, AI, and data science teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on scope, contractual obligations, and agreed-upon timelines - Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed - Ensure smooth integration of prototyped features/functions into Air Enterprise Readiness platform for utilization across customer accounts Qualifications Required Skills: - 5+ years of PM experience, specifically in B2B SaaS, ERPs, or highly configurable specialized industry platforms (e.g., FinTech, HealthTech, Construction Tech) - Fluency in backend systems concepts, including authentication/authorization models, data schemas, data orchestration systems, service contracts, and distributed system tradeoffs - Expert in SQL and familiarity with Python and GitLab/GitHub - Experience in shipping infrastructure or platform services - Fluency with technical concepts (microservices, distributed systems, caching, permissions models, data schemas, event systems, etc.) - Familiarity with LLM-based systems and the tradeoffs between deterministic workflows and agentic systems - Strong information architecture instincts, especially in configurable enterprise environments - Strong value orientation and understanding of customer needs - Self-starter with owner mentality - Growth mindset with experience in startup or growth-stage environments - Ability to thrive in a fast-paced, dynamic work environment - Exceptional written and oral communication skills - Bachelor's degree in business or a technology-related field - U.S. Citizenship is required Desired Skills: - Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship - Experience in or around DoD - Experience working on low/no-code workflow or application builders Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery