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We are looking for an AI-First Senior Product Manager to help us redefine how users interact with weather intelligence. Youll lead the development of AI-native capabilities that drive insight, action, and scale - across some of the most complex industries in the world.
As a Senior Product Manager at our company, youll:
Lead end-to-end strategy and execution for platform capabilities that embed AI deeply into product workflows, decision-making, and user value.
Collaborate closely with engineering to design modular, intelligent systems that scale across markets and use cases.
Create structure, focus, and momentum within fast-moving environments - driving impact while learning deeply.

In this role, you will analyze payment performance, identify improvement opportunities, and turn insights into concrete actions, ensuring they are driven through to execution.

What youll be doing

Analyze payment processing data across internal and external systems, billing platforms, dashboards, and reports to understand performance and trends
Identify issues, inefficiencies, and opportunities across payment systems, processes, and providers
Translate analysis and findings into clear action items and drive their execution with relevant stakeholders
Monitor key payment KPIs and track the impact of changes over time
Produce reports and recommendations for management, based on ongoing analysis and findings
Maintain continuous visibility into payment performance through structured monitoring and analysis

We're looking for a hands-on builder to join our company's Backend Core Team as a Principal Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

We're looking for a hands-on builder to join our company's Backend Core Team as a Staff Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.
This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.
You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.
This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.
Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our companys software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

The Account Manager is a relationship-driven, commercially-minded professional responsible for maximizing customer lifetime value through proactive renewal management and account expansion.
Youll lead a structured account management process across all segments, fostering long-term partnerships, ensuring on-time renewals, and uncovering upsell and cross-sell opportunities.
This role requires a strategic thinker with a passion for customer outcomes, strong process rigor, and the ability to collaborate cross-functionally to drive retention, growth, and advocacy
Responsibilities:
Design, execute, and continuously improve a scalable account management framework that drives proactive engagement, renewals, and expansion across all customer segments
Develop and execute strategic touchpoints to build trusted customer relationships, drive on-time renewals, mitigate churn risk, and position value-add solutions
Partner with Account Executives, Customer Success, and Solutions Engineering to align on business outcomes, identify growth paths, and ensure seamless contract execution
Accurately build and manage renewal quotes in HubSpot and support channel fulfillment where needed
Forecast renewals with rigor and accuracy, escalating at-risk accounts early and proposing mitigation plans
Track and optimize KPIs like retention rate, renewal velocity, and time-to-close
Ensure all renewal-related data and activities are captured in HubSpot and internal systems for reporting and handoff
Surface insights and advocate for improvements to process, packaging, and pricing based on customer feedback
Contribute to a customer-first renewal strategy that balances commercial discipline with a world-class experience

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Are you a visionary software developer eager to shape the future of coding and have a global impact? Join us, where we're on a mission to revolutionize the developer experience with our real-world generative AI products.
As a Software Developer, you will play a pivotal role in crafting cutting-edge solutions that empower over 1 million developers worldwide. Together, we'll unleash the potential of AI to make coding more efficient, creative, and enjoyable for developers everywhere.
Join us and be a part of something extraordinary.
Our solution tech. stack:
SaaS, Self-hosting
Backend services + web: Typescript (NodeJS + ReactJS), Python
Client: Rust
IDE plugins: Typescript (vscode), Java (IntelliJ, Eclipse), c# (visual studio)
Postgres, Redis, Qdrant, ClickHouse / Snowflake
GCP, AWS
Kubernetes
GPUs and inferencing (in various frameworks)

Are you a visionary tech leader eager to shape the future of coding and have a global impact? Join Tabnine, where we're on a mission to revolutionize the developer experience with our real-world generative AI products.
As a Team Lead, youll guide a talented group of developers while remaining hands-on, helping to craft cutting-edge solutions that empower over 1 million developers worldwide. Together, we'll unleash the potential of AI to make coding more efficient, creative, and enjoyable for developers everywhere. Join us at Tabnine and lead something extraordinary.
Our solution tech. stack:
SaaS, Self-hosting
Backend services + web: Typescript (NodeJS + ReactJS), Python
Client: Rust
IDE plugins: Typescript (vscode), Java (IntelliJ, Eclipse), c# (visual studio)
Postgres, Redis, Qdrant, ClickHouse / Snowflake
GCP, AWS
Kubernetes
GPUs and inferencing (in various frameworks)

Your experience at our company will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Responsibilities
Ensuring and maintaining compliance and HR operations in their assigned country in accordance with relevant employment laws and regulations and operational rules and RACI.
Managing leave requests and processing administrative tasks for Employee of Records (EORs), such as applications, HR letters, and enrollments.
Auditing, maintaining, and updating internal and external HR-related knowledge in collaboration with stakeholders.
Providing support to EORs and clients for HR-related questions or concerns through all available communication channels.
Managing standard onboarding and offboarding processes for EORs.
Collaborating on HR project management, specifically for mass onboarding and offboarding initiatives.
Responsible for ensuring the quality of the HR operations in the assigned countries.
Being the subject matter expert for the country's operational quality and knowledge.

Your experience at our company will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Duties
Acting as the point of contact among executives, employees, clients and other external partners
Providing administrative assistance, such as writing and editing e-mails, and preparing communications on the executives behalf
Managing information flow in a timely and accurate manner
Managing executives calendars and setting up meetings
Making travel and accommodation arrangements.

We are seeking a Senior People Systems Analyst with extensive experience in HR technology to join our companys People Technology team. This is a hands-on role that combines systems knowledge, People process understanding, and strong stakeholder management skills.
You will play a pivotal role in bridging the gap between our internal People teams and our Product teams. While supporting day-to-day system-related projects using our companys People platform, you will have the opportunity to drive internal adoption and enhance functionality of the company Time-off, our company Compensation, and our company HR Engage products.
You will also collaborate closely with our People Operations team to manage daily our company People administration, support organizational restructuring, and ensure we are maximizing the potential of our documents product.
This role offers a unique opportunity to significantly influence our internal HR technology ecosystem and support our company's internal product development.
What Youll Do
Product & Engineering Team Collaboration: Work closely with the People Success and Compensation teams to understand product needs for how our company utilizes the company HR Engage, Compensation, and Time-off products, providing feedback to Product and Engineering teams that influences internal product development, assisting in new feature testing, and collaborating with our own people team to maximize usage and gather additional feedback.
Organizational Structure Management: Support and execute organizational structure changes within the system to ensure hierarchy accuracy, reporting reliability, and seamless change management.
Documents Product Utilization: Support People Ops in their endeavors to better utilize the documents product, optimizing workflows for document generation, storage, and compliance.
System Administration & Expertise: Act as a subject matter expert for our company People, including HRIS, Engage, and other modules.
Stakeholder Advisory: Serve as a trusted advisor and problem-solver for stakeholders, balancing technical solutions with business needs.
Implementation & Configuration: Partner with People, Product, and other teams to design, configure, test, and deploy system enhancements, integrations, and automations.
Training & Documentation: Document and deliver training, support, and communication for people system enhancements to the people team.

As a Senior Data Engineer, you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. you are encouraged to think big and help out in other areas as well.

Responsibilities:

Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Building and owning production-grade ETL/ELT pipelines that power analytics, ML training, and real-time AI systems
Designing data architectures that support agentic systems, including:
Embeddings and vector-based retrieval
RAG pipelines
Feedback loops and continuous improvement
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.

Responsibilities:

Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking