We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.

Key Responsibilities

• Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
• Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
• Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
• Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
• Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
• Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently. 

Qualifications

• 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
• Experience leading cross-functional teams and delivering impactful results.
• Deep understanding of modern product and project management practices. 
• Good understanding of when development is needed or not needed to solve the problem.
• Strong analytical mindset with the ability to make data-informed decisions.
• Strong organizational, planning, and delivery skills are a must.
• Excellent communication with strong stakeholder engagement and alignment skills.
• Proven records in business process analysis, optimization, and digital transformation.
• Experience in building automations to optimize processes and manual tasks.
• Self-driven, highly organized, and comfortable working remotely across time zones.
• Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
• Previous BA experience is a plus.
• Fluent in English (spoken and written).

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

What you’ll do 

Pindrop is looking for a high-performing Senior Platform Product Manager to drive strategy and development for the Pindrop Platform — the shared foundation that powers our products (Protect, Passport, and Pulse) and a set of platform capabilities exposed directly to customers, such as Pindrop Intelligence. You’ll ensure that our platform is scalable, reliable, easy to build on, and delivers differentiated value both to internal product teams and to customers consuming platform features directly.

Market analysis & customer insight

• Stay ahead of competitive and industry trends in platforms, data products, and developer ecosystems.Partner with Product and GTM teams to understand how Protect, Passport, Pulse and other product lines depend on the Pindrop Platform today and what they will need next.
• Regularly engage with customers and partners who consume platform capabilities (e.g., Pindrop Intelligence APIs, data services) to understand use cases, workflows, and unmet needs.
• Manage organization goals, business metrics, and KPIs for the platform, including adoption, reliability, performance, and developer experience.
• Operate internal and external steering forums to align stakeholders on priorities and investments for the platform.

Vision & roadmap for the Pindrop Platform

• Set the overall vision, strategy, and success measures for the Pindrop Platform as a product in its own right.
• Define how shared platform capabilities (data, AI/ML services, APIs, integrations, observability, security, entitlements, and configuration) evolve to support Protect, Passport, Pulse and future products.
• Own and maintain prioritized platform roadmaps, balancing foundational investments (scalability, reliability, security, cost efficiency) with new capabilities and externalized features like Pindrop Intelligence.
• Write clear user and system narratives that describe how internal product teams, and end customers will interact with Pindrop Platform capabilities.
• Define, document, and communicate objectives, requirements, and constraints for platform initiatives and releases.
• Engage with executive and cross-functional stakeholders to obtain buy-in, make tradeoffs, and raise escalations when needed.

Execution & delivery

• Drive end-to-end execution for platform initiatives, from discovery and design through delivery and launch.
• Work with engineering and engineering leadership to design and deliver high-quality, continuous releases of platform services, APIs, and data products.
• Manage platform capabilities across their lifecycle, from initial MVPs to scaled, hardened services adopted across multiple products.
• Integrate new technology from research and product teams into the platform in a way that is reusable, well-abstracted, and easy to adopt.
• Collaborate with go-to-market partners to position platform capabilities (such as Pindrop Intelligence) and accelerate customer adoption and time to value.
• Partner with marketing to set positioning and develop market-facing materials, demos, and content for platform features where they are directly consumed by customers.
• Grow platform adoption and influence by assisting Sales, Customer Success, and Solutions Engineering with identifying key customer segments, building pipeline, and closing opportunities where platform capabilities are a differentiator.

Who you are

• You are passionate about platforms, APIs, and developer experiences, and you understand how strong platform strategy accelerates product teams and unlocks new customer value.
• You care deeply about security, reliability, and performance, and you are comfortable working in a space that spans voice, identity, fraud, and AI/ML-powered intelligence.
• You have a high degree of integrity and trustworthiness.
• You have a strong sense of personal ownership and responsibility in accomplishing the organization’s goals.
• You are entrepreneurial with a high level of energy, dedication, and an unrelenting drive to succeed and win.
• You are resilient in the face of challenges, change, and ambiguity.
• You are optimistic and believe that you can make a problem into a solution.
• You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed.
• You take accountability, do the things you say you’ll do, under-promise and over-deliver.
• You are nimble and adaptable when priorities change and continue to see the “forest through the trees”.

Your skill-set

• 5–7 years of product management experience in B2B SaaS, with significant time spent on platform, infrastructure, or shared services (e.g., data platforms, API platforms, developer platforms, or similar).
• Experience working with cloud-native architectures and highly distributed systems; familiarity with how platform decisions impact reliability, performance, cost, and security.
• Proven experience defining and executing go-to-market strategy for platform or API / data products, including positioning, packaging, pricing, and launch planning.
• Demonstrated ability to partner closely with Sales, Marketing, Customer Success, and Solutions Engineering to translate platform capabilities into clear value propositions, customer narratives, and enablement.
• Experience creating and scaling internal platforms that serve multiple product teams or business units, OR externalized platforms / APIs used directly by customers and partners.
• Technical background or strong technical fluency; you can work closely with engineering on APIs, data models, integration patterns, and system tradeoffs would be a big plus.
• Experience within a SaaS company required; experience in security, identity, fraud, or risk is a plus but not required.
• Proven track record of successful product or platform launches and meaningful impact on adoption, usage, or business outcomes.
• Comfortable rolling up your sleeves to dig into details, understand edge cases, or help unblock teams.
• Strong leadership and communication skills — you can bring clarity to complex technical topics and drive alignment across engineering, product, GTM, and executive stakeholders.
• Transparent and open about what works and what doesn’t; you use data and feedback to iterate quickly.

Within 30 days, you’ll

• Complete onboarding and understand Pindrop as a product portfolio and the voice security space.
• Learn the core capabilities of the Pindrop Platform and how Protect, Passport, and Pulse are built on top of it.
• Meet your key partners across Product, Platform Engineering, Protect/Passport/Pulse teams, Sales, Marketing, Customer Success, and Solutions Engineering.
• Review existing platform roadmaps, customer feedback, and GTM materials for platform features (including Pindrop Intelligence).

Within 60 days, you’ll

• Refine and socialize a clear problem/opportunity framing for your initial focus areas on the Pindrop Platform.
• Own and update a portion of the platform roadmap, aligning it with product needs and GTM priorities.
• Lead discovery with internal product teams and select customers/partners to validate requirements for upcoming platform initiatives.
• Collaborate with GTM partners to shape positioning, messaging, and launch plans for at least one upcoming platform or Pindrop Intelligence enhancement.

Within 90 days, you’ll

• Fully own a meaningful slice of the Pindrop Platform roadmap and associated KPIs.
• Drive at least one platform initiative from definition through execution, partnering closely with engineering and GTM teams.
• Establish lightweight rituals (reviews, steering, reporting) that bring clarity to platform priorities, tradeoffs, and status.
• Identify and propose medium-term platform and GTM bets that can unlock new value for products and customers.

What’s in it for you 

As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days. 

What we offer 

As part of Pindrop, you’ll directly influence our products and contribute to shaping the future of voice security. We invest in great people and support them with great benefits:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• Remote-first culture

This position is contracted through Alcor BPO.

#LI-Remote

Middle Front-End Engineer (Full-stack oriented)

About the role

We’re looking for a Front End Engineer with a Full-stack mindset to join Matic’s team. Matic is growing rapidly, building a suite of new web products from scratch to make insurance easier for homeowners across the US.

In this role, you won't just be coding mockups. You will own the user interface and the engineering logic behind it. We pay extreme attention to detail – whether it’s architecting a reusable component library or optimizing the state management of a multi-step insurance application. 

While your primary expertise is the Front End, you should be eager to dive into the full stack, leveraging AI capabilities to navigate the backend and ensure features are delivered seamlessly from end to end. We value engineers who use the latest tools to bridge gaps and accelerate delivery.

Responsibilities

• Lead the development of modern applications, taking ownership of the UI and the logic that powers it.
• Be a key player in the product development cycle – from the first brainstorm with designers to the final verification before launch.
• Work as a peer with Product Managers and Designers to ensure our technical implementation matches our high standards for UX.
• Participate in thoughtful code reviews and share your knowledge to help us constantly improve our technical approach.

Requirements

• Strong knowledge of modern TypeScript and JavaScript (ES6+) for building reliable, scalable applications.
• Good experience with React and building fast, reusable components.
• Skilled in writing clean HTML and CSS, focusing on Responsive Design that works well on all screens.
• Experienced with testing frameworks (Playwright,  Vitest) and committed to writing verified, reliable code and contribute to .
• Willingness to use AI and modern tools, even on the backend, when it helps the product move forward.
• Intermediate English level or higher for clear communication with a global team.

Nice-to-have skills

• Knowledge of Ruby on Rails is a plus (ability to understand the code and implementing logic alongside our backend engineers); otherwise, a desire to learn the stack.
• Background in A/B testing or using data to improve the UI.
• Experience managing the development of small products or micro-frontends.

Tools we use

• Front End: React, TypeScript, MUI.
• Back End: Ruby on Rails.
• Styling: Emotion.
• Build & Ops: Vite, Yarn.
• Testing & Quality: Playwright, Vitest, ESLint.

What We Offer

• Competitive salary and Company Equity with refresher policy every 2 years
• Unlimited Paid Time Off (personal, sick, maternity/paternity leave)
• Flexible working environment (home/office/hybrid)
• Accounting support (100% coverage)
• Continuous feedback culture: systematic 1-1 with your manager, performance review meetings every 6 months, and yearly compensation review

About Matic

The Market Leader in Embedded Insurance: Since 2014, Matic has redefined the insurance landscape by integrating high-value coverage directly into the homeownership and auto-buying journey. We aren't just a digital agency; we are the strategic infrastructure that allows mortgage lenders and financial institutions to provide seamless, value-added services to their customers at the exact moment they need them.

Our Market Position: Today, Matic is a Top 20 independent agency and the undisputed leader in the mortgage servicing space, holding approximately 20% of the total market share. Our marketplace features over 60 A-rated home and auto carriers, integrated with a growing roster of billion-dollar distribution partners across mortgage origination, banking, and SaaS.

Our Culture: Autonomy and Impact at Matic, we avoid the "numbers for the sake of numbers" mindset. We hire professionals who are obsessed with quality and empowered to own their outcomes. We work at a fast pace, but we prioritize intellectual curiosity, strategic thinking, and the collective win.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

Currently, we are looking for a Senior Product Manager for the Documents team. Documents by Readdle is a super app for iPhone and iPad. It’s your all-in-one solution for working with files at home, in the office, at university, or on the go. Whether you edit, annotate, convert, listen to, or read, Documents brings everything together in one seamless experience.

About the role:

As a Senior Product Manager at Documents by Readdle, you will take full ownership of defining and delivering our product vision across multiple platforms — including our current expansion to web and upcoming future platforms. You will play a central role in shaping and executing our strategy, turning emerging technologies into meaningful user-facing features that drive business outcomes.

This is a highly autonomous and impactful role where you are expected to lead initiatives from zero to launch: defining the opportunity, aligning stakeholders, validating user needs, collaborating with engineering and design, and ensuring successful delivery. You'll work closely with the Product Lead to co-own the strategic direction of Documents, and be a key driver of growth.

What you will do:

• Continuously define, update, and execute the product roadmap to align with user needs, business goals, and our ongoing expansion across platforms (including web and future surfaces.
• Lead end-to-end development of key features, including AI-powered tools, that drive measurable user and business impact.
• Run research to deeply understand user behaviors, needs, and pain points.
• Use product data and user insights to define problems, validate hypotheses, and guide prioritization.
• Collaborate with design, engineering, research, and marketing to ensure high-quality delivery.
• Shape the product roadmap for a major product area — balancing user value and strategic business needs.
• Drive product enhancements and experiments, analyze results, and iterate quickly based on learnings.

About you:

• Proven track record of owning product development and launching impactful features.
• Strong analytical skills — fluent in metrics, funnels, experimentation, and analytical tools.
• Deep user empathy — experience conducting or leveraging user research to inform decisions.
• Strategic thinking — the ability to connect product work to broader business and user goals.
• Experience working in cross-functional teams (including design, engineering, and research).
• Comfortable operating with high autonomy in ambiguous environments.
• Excellent written and verbal communication.
• Strong understanding of mobile UX and product lifecycle.
• Outcome-driven mindset — always looking for the impact of product decisions.
• Hands-on experience with AI tools for automating product workflows or enhancing team productivity

Would be a plus:

• Experience in both mobile and web platforms.
• Background in productivity, file management or similar niche
• Prior experience working on or shipping AI-powered features / products
• Comfortable experimenting with AI-prototyping / "vibe-coding" tools

What you’ll do:

This role operates in mix between 1-1 with top clients and a 1-to-many, outbound-led model, managing a large customer portfolio through a combination of automation, lifecycle triggers, and targeted commercial engagement.

•  Manage and grow large pool of existing client relationships, building long-term partnerships with top and mid-tail customers to identify emerging business needs and opportunities.
• Proactively strengthen and expand relationships to maximize retention, cross-sell, and upsell across the portfolio, increasing customer value and revenue through tailored engagement strategies
• Perform outbound outreach, including cold calls, identify opportunities, activate customers, and drive commercial outcomes
• Design and execute multi-channel strategies to reach large customer segments at the right moment in their lifecycle, creating and qualifying opportunities effectively.
• Drive retention, and cross-selling initiatives. Identify business opportunities and define go-to-market strategies, leveraging customer insights and market learnings.
• Build success stories, case studies, and business reports to showcase impact and support internal and external alignment.
• Lead educational initiatives, including webinars and workshops, to drive ongoing engagement within the portfolio.
• Own the end-to-end commercial process, including demos, proposals, negotiations, and closing long-term agreements.

What we’re looking for:

• Bachelor's degree, preferably in business or engineering
• Fluent in English and Ukrainian
• 2+ years of account management, sales, business development or other relevant experience
• Expertise in developing business cases, financial analyses, and modeling, analyzing and forecasting economic and financial impacts
• Strong written and verbal communication skills
• Ability to present a business case to key stakeholders
• High level of organization, focus, and ability to work under pressure

Extra Points we need from you:

· High-volume- outbound environment experience, comfortable handling large outreach volumes.

· Experience with CRM platforms like Sales Force and expertise in sales reporting.

· Familiarity with payment industry, ERP; invoicing, reconciliation tools and data-driven platforms.

· Proven track record in working with international clients across diverse industries.

· Experience selling B2B solutions in a highly consultative manner.

About the Role

As a Senior Product Manager at Pearl, you will own discovery, strategy, and execution for high-impact products supporting Pearl Enterprise, with direct responsibility for driving revenue outcomes (including Enterprise contracts totaling $2.5M+). This is a hands-on, high-ownership PM role in a fast-moving, ambiguous environment. You will partner closely with Engineering, AI / Innovation (IL), Sales, and cross-functional stakeholders to define priorities, set OKRs, and deliver results at Pearl-speed. Pearl’s product itself is increasingly AI-driven, and while this role does not require you to be an AI engineer, it does require comfort working with AI-powered products, AI prototypes, and AI-enabled teams.

What You’ll Do

Product Ownership & Execution

• Own the end-to-end discovery PM role: problem definition, prioritization, roadmap creation, execution, and delivery.
• Partner with IL / AI leaders to define OKRs, priorities, and quarterly roadmaps aligned to Enterprise goals.
• Lead agile teams to execute against the roadmap with speed, focus, and accountability.
• Own releases and delivery using lean and agile practices, balancing experimentation with execution.

Discovery, Data & Decision-Making

• Drive discovery through customer research, data analysis, experimentation, and rapid validation.
• Define product requirements for MVPs, AI-enabled features, and enhancements.
• Use product metrics and insights to inform decisions, measure impact, and iterate quickly.
• Operate with a strong data-driven mindset, making clear, timely decisions in ambiguous situations.

Cross-Functional Collaboration

• Partner closely with B2B sales, Enterprise stakeholders, customers, and partners to identify market problems and opportunities.
• Act as a strong cross-functional collaborator, aligning Engineering, AI, Sales, and Leadership.
• Clearly communicate the “why,” connect work to outcomes, and ensure focus on the highest-leverage initiatives.

What We’re Looking For

Experience & Skills

• 5+ years of Product Management experience in B2B web or platform products.
• Proven experience delivering first-generation or early-stage products.
• Comfort working with AI-powered products; experience with GenAI is a strong plus.
• Bonus: Ability to build or collaborate on AI prototypes to accelerate discovery.
• Strong experience with experimentation, MVP definition, and iterative delivery.

Core Traits & Capabilities

• Adaptability – Proven success operating in volatile, uncertain, complex, and ambiguous (VUCA) environments.
• Efficiency & Pace of Execution – Demonstrated ability to deliver results quickly using standard PM and lean start-up practices (“Pearl-speed”).
• Collaboration – Strong track record partnering cross-functionally, especially with B2B sales and Enterprise stakeholders.
• High Ownership Mindset – Proactive, accountable, and comfortable operating with minimal oversight.
• Data-Driven Decision Making – Uses data, not opinion, to guide priorities and trade-offs.
• Quick, Confident Decision-Making – Able to make informed decisions with imperfect information.
• Dependability – High follow-through and reliability on commitments.
• Strategic Thinking – Sees the big picture, communicates it clearly, and ensures work maximizes impact against OKRs.
• Growth Mindset – Open to feedback, continuously improving, and eager to learn.

Sisense is the leading AI-powered analytics platform that helps software companies and product teams build smarter, embedded analytics experiences directly into their applications. With Sisense Intelligence - our suite of agentic AI capabilities - we empower application builders to deliver governed conversational analytics, accelerate development with natural language tools, and turn data into actionable insights and revenue.

We're investing heavily in the foundational platform that powers this vision and are looking for a sharp, technical Product Manager to help shape the next generation of our Data & Analytics Platform. You'll drive the core infrastructure, APIs, developer tools, and AI-enablement capabilities that make Sisense the most flexible and powerful choice for embedding intelligence at scale.

We are looking for…

The Sisense Product Team is seeking a highly motivated Technical Product Manager with a deep passion for platform products, data systems, developer experience, and AI-powered analytics.

This role suits someone who thrives working hand-in-hand with engineering teams, dives deep into technical architecture, and excels at turning complex platform challenges into clear, customer-focused product direction. You will own critical platform foundations that enable application builders to create scalable, secure, composable, and intelligent analytics experiences - from low-code/no-code tools to pro-code extensibility.

We're looking for a curious, analytical, and hands-on PM who is excited by deeply technical areas: infrastructure, platform services, data modeling, APIs, developer SDKs, AI integration, and the capabilities that power modern embedded analytics.

Requirements

• 1–3 years of experience in Product Management, Technical Product Management, Solutions Engineering, Software Engineering, or a similar role, with a strong technical foundation.
• Experience with platform products, developer tools, APIs, data platforms, infrastructure, embedded analytics, or AI/ML technologies is a strong advantage.
• Solid technical understanding and comfort engaging in discussions on architecture, system design, scalability, reliability, APIs, data modeling, and technical trade-offs.
• Ability to break down complex technical concepts into clear product requirements, user stories, prioritization frameworks, and actionable roadmaps.
• Excellent English communication skills; ability to collaborate effectively with technical (engineering, architecture) and non-technical (go-to-market, customers) stakeholders.
• Customer-obsessed mindset, with a talent for deeply understanding the needs of application builders, developers, and end-users, then translating them into high-impact platform solutions.
• Hands-on and detail-oriented, with a natural tendency to ask “why,” challenge assumptions, and relentlessly validate that delivered capabilities solve real problems.
• Comfortable working side-by-side with engineers on feature design, technical dependencies, implementation trade-offs, and connecting platform work to measurable customer and business value.
• Proven ability to lead product capabilities end-to-end: from discovery and validation through delivery, launch, and adoption.
• Strong prioritization and execution skills in a complex, cross-functional environment; bias for action and ownership.
• Experience working with AI technologies, LLMs, agentic systems, or shipping AI-powered capabilities is a significant advantage.

Your Responsibilities

• Own and drive key components of the Sisense Platform, focusing on foundational technical capabilities, infrastructure, APIs, data services, and developer-facing tools that power Sisense Intelligence and embedded experiences.
• Define clear product requirements for platform services, Compose SDK, MCP connectivity, AI integration layers, internal infrastructure, and extensibility features; drive them from discovery to launch and post-launch optimization.
• Partner closely with Engineering, Architecture, and Design teams to make smart, balanced product and technical decisions that balance speed, scalability, reliability, and innovation.
• Collaborate with customers, product leaders, and go-to-market teams to uncover needs, validate problems, and prioritize platform investments that deliver maximum impact for application builders.
• Work with other PMs to ensure seamless end-to-end experiences that let developers and product teams leverage the full power of Sisense’s AI-driven analytics engine.
• Prioritize backlog based on customer value, technical strategy, scalability, security, developer experience, and long-term platform health.
• Communicate roadmap, strategy, and decisions transparently to stakeholders across Product, Engineering, Support, Sales, Marketing, and Customer Success.
• Create high-quality internal and external documentation, presentations, and enablement materials that clearly articulate the value and usage of platform capabilities.
• Contribute to and help evolve Sisense’s overall platform strategy, ensuring it remains scalable, extensible, secure, AI-native, and developer-friendly.

Why you should join our team

Sisense is redefining embedded analytics by moving far beyond traditional dashboards. We deliver a full-stack Analytics Platform as a Service (AnPaaS) that combines powerful data modeling, composable embedding tools, and Sisense Intelligence - our agentic AI suite (including Assistant, Managed LLM, and MCP server) - to help application builders prototype faster, embed conversational analytics, and deliver governed, actionable insights directly inside their products.

In this role, you'll tackle challenging technical problems at the heart of the platform, influence foundational decisions that impact thousands of developers and end-users, and work alongside talented teams across Product, Engineering, Design, and Go-to-Market. If you’re passionate about platform thinking, technical depth, AI enablement, and building the infrastructure that powers other great products, this is your chance to make a significant impact in a fast-evolving space.

Sisense is developing the next-generation Analytics Platform for application builders, allowing software companies to build better analytics experiences and drive better outcomes for their end users. We're continuously improving our market-leading product and need a sharp and talented Product Manager to join our team and help shape the future of the Sisense Platform. 

We are looking for…

The Sisense Product Team is looking for a skilled, experienced, technical, & hands-on Product Manager with experience in building modern B2B platforms, analytics, and exceptional developer-first platform experiences, to take our industry-leading embedded analytics platform to the next level. 

This role will be best suited for a creative, driven, technical product manager who can own and execute a significant segment in the transformative vision & strategy of our analytics platform, with a deep understanding of the needs and challenges faced by application builders who create products using our platform, and work closely with the engineering team to make that vision a reality.

Requirements

• You are an experienced, technical product manager with 2+ years of product management experience building large-scale SaaS B2B platforms. You understand what makes a platform desirable and sticky for technical users like PMs, developers, and analysts.
• You know the data analytics and BI ecosystem. You’re familiar with tools for data modeling, ETL, data visualization, and semantic modeling. You’re familiar with today’s leading products in this market.
• You have experience in working with AI technologies and shipping AI-powered product features.
• You are customer-obsessed and love partnering with customers to advocate for their needs, collaborate on feature design, and ensure their success.
• You have the ability to grasp complex technical concepts, simplify and break them down to articulate requirements, and communicate clearly and professionally to both technical and business audiences. 
• You are hands-on & detail-oriented. You regularly use quantitative usage data and qualitative insights from stakeholders and engineers. You keep asking “why,” challenge common assumptions, and ensure that what you build is what customers need & expect.
• You enjoy knowing what’s going on “under the hood” and can just as easily have a deeply technical conversation with the developer about a feature's design, or with a customer about the business value that a given technology provides.
• You have taken multiple product capabilities & features from ideation to impact. You can define priorities and lead cross-team efforts to create real customer value. You have a proven track record as a “make things happen” kind of person.
• You feel at home engaging in both inbound and outbound activities - from deep dives into design to leading webinars, meetups, and workshops.
• You enjoy working on a broad range of topics, with cross-functional teams, and collaborating with a diverse group of stakeholders, including partners, marketing, and salespeople.

Your Responsibilities:

• Take part in shaping the next generation of Sisense’s embedded analytics platform, collaborating with a diverse group of peers to overcome challenges and stay ahead of the pack in a highly competitive market.
• Define end-to-end requirements for Sisense’s core capabilities and drive their delivery from ideation & design, through engineering, to enablement and go-to-market.
• Identify, collect, analyze, and advocate for customer needs.
• Communicate the roadmap, vision, and strategy of your domain to key stakeholders.
• Create feature presentations and documentation to explain the capabilities to both internal and external audiences.
• Define, measure, report, and achieve success on KPIs that represent desired business outcomes.

Why you should join our team:

At Sisense, we’re redefining how application builders embed intelligence into their products.

Our platform sits at the intersection of modern data platforms and AI, enabling developers and product teams to deliver conversational, predictive, and agentic analytics experiences directly inside their applications.

If you’re a hands-on Product Manager who thrives at the crossroads of strategy, customer insight, and cutting-edge technology, this is your chance to own meaningful work in one of the most exciting areas of AI and data today.

PandaDoc is hiring a Principal Product Manager to lead the evolution of our Document Experience — redefining how professionals create, refine, collaborate on, and complete documents in an increasingly AI-driven world.

You’ll own the strategy and execution of PandaDoc’s core document experiences, shaping how structured content, collaboration, and intelligent assistance come together into cohesive workflows. Your work will help customers move faster from ideas to finalized agreements by making document creation more intuitive, adaptive, and connected.

This is a senior, hands-on role for a product leader who thrives at the intersection of user experience, platform systems, and applied AI. You’ll guide multiple squads, align cross-functional partners, and translate emerging technologies into scalable product systems — balancing exploration with disciplined delivery.

In this role, you will

• Lead high-impact initiatives across document creation, authoring and collaboration experiences.
• Shape cohesive end-to-end document workflows, ensuring users can move naturally from drafting to completion.
• Integrate AI capabilities directly into document experiences — including authoring, refinement, structure, and automation — with a focus on real user outcomes.
• Define product direction for modern document systems, blending structured content, intelligent assistance, and collaborative workflows.
• Partner closely with design, engineering, AI platform, and core platform teams on APIs, integrations, and data models that enable scalable experiences.
• Collaborate with other senior PMs to ensure consistent, connected journeys across PandaDoc.
• Drive continuous improvement through experimentation, customer feedback, and product telemetry.
• Shape the long-term direction of PandaDoc’s Document Domain, ensuring flexibility, coherence, and readiness for evolving AI-powered capabilities.

About You

• 7+ years of hands-on product management experience in B2B SaaS, ideally across document creation, productivity, collaboration, or content platforms.
• Proven experience owning complex user-facing domains end-to-end — from strategy through delivery and iteration.
• Familiar with document systems, structured content, and cross-format editing models (PDF, DOCX, Markdown, or AI-generated content).
• Direct experience shipping AI-powered product features, including defining UX behavior, rollout strategies, and iteration based on real-world usage.
• Comfortable integrating AI into workflows thoughtfully, focusing on measurable user outcomes rather than standalone capabilities.
• Skilled in rapid discovery and iteration using prototypes, experiments, and AI-assisted tools.
• Demonstrated AI fluency — using AI for analysis, prototyping, and workflow automation, with strong judgment to translate ambiguous AI capabilities into dependable product experiences.
• Strong communicator who simplifies complexity, frames trade-offs clearly, and aligns cross-functional teams.
• Pragmatic and execution-oriented, balancing experimentation with prioritization and delivery discipline.
• Comfortable partnering with deeply technical teams on system design, APIs, and platform constraints.

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

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We are establishing R&D center in Kyiv and looking for talents to join our team.  We expect this manager to work closely with the team's current Product Owners, Delivery and Project managers, Architects while owning the engineering roadmap and providing career guidance to the team. 

RESPONSIBILITIES

• Leading teams of engineers and accelerating their growth by providing thoughtful feedback, technical mentorship, and effectively manage performance 
• Working hands-on with your team and stakeholders to enable rapid delivery of features and technical solutions that make a positive user impact
• Collaborating with business leads across the company to define milestones and deliveries for new functionality to be added to existing applications
• Work with your teams under tough deadlines to design, build, and deliver projects
• Ensure processes and training are in place for continuous improvement in our services  
• Continuously work towards improving team efficiency and engineering capacity by improving the flow and addressing technical debt in our products and processes

REQUIREMENTS

• You are a strong motivator, leader, team player with a record of leading and mentoring employees 
• You bring about 7+ years of experience as a technology leader with a proven track record of leading Engineering teams  
• Experience working with stakeholders and contributing to product definition.  
• Profound knowledge in parts of our tech stack - Java, Kafka, RabbitMQ, Redis / Aerospike, Relational & NoSQL Databases  
• Experience with Docker, Kubernetes, ELK, Grafana, Prometheus  
• Understanding of large scale, distributed systems, microservice architecture  
• Experience in recruiting, retaining and inspiring highly effective software engineering teams