At BrainRocket, we manage a high-growth ecosystem of 6,000+ employees across 5+ countries and we are seeking a strategic HR Data Analyst to lead our infrastructure migration to HiBob, standardize our global people metrics, and transform raw data into a strategic asset for leadership and Total Rewards.

Key Missions

• Lead the technical transition from BambooHR to HiBob. You will own the data mapping, historical data migration, and the establishment of a "Single Source of Truth" to ensure 100% data integrity.
• Partner with leadership to execute high-accuracy headcount modeling and payroll budget forecasting. Shift the department from reactive reporting to predictive analytics (e.g., turnover predictors and hiring ROI).
• Eliminate manual reporting bottlenecks. Utilize Python and SQL to automate recurring data pulls, complex calculations, and stakeholder dashboards.
• Design and maintain intuitive, self-service BI dashboards (Tableau/Power BI) to empower stakeholders with real-time, actionable insights.

Your Toolkit

• 3+ years in data analytics, handling large-scale datasets. 
• Deep understanding of HR-specific KPIs (Turnover, eNPS, C&B, Retention).
• Advanced SQL, Python (Pandas, NumPy), and Excel for complex financial modeling, payroll simulations, and automation; expert at architecting data models and dashboards in Tableau or Power BI.
• Ability to translate technical datasets into strategic advice for the Head of Total Rewards and stakeholders.

Our Offer

• Impact a global tech environment during a critical digital transformation phase.
• Full support including flight tickets, visa processing, and 2 weeks of accommodation.
• Competitive salary with annual reviews
• Medical insurance.
• 23 days of annual leave + 6 paid sick days.
• Continuous learning opportunities and a data-driven environment where your insights directly drive change.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

About the role

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development. It will be deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We are now looking for a Senior Product Leader to own and drive the development of our enterprise agent platform, including seat-based governance, ROI/TCO dials on AI spend, hybrid cloud support, and public APIs. This role requires someone who has operated at large tech scale (e.g. M2/L7+) or as a VP of Product in a high-growth B2B startup, and who can combine long-term platform vision with disciplined, incremental delivery.

You will partner across engineering, design, go-to-market, legal, and customer success to define, prioritize, and deliver capabilities that make our platform the operational backbone for hybrid and cloud-native adoption at scale.

In this role, you will:

• Define and execute the roadmap for the platform’s control and execution planes.
  
  
• Lead the development of key platform primitives and console UX.
  
  
• Shape hybrid cloud and enterprise readiness capabilities.
  
  
• Define and deliver public APIs for enterprise extensibility.
  
  
• Align cross-functional teams around priorities and measurable outcomes.
  
  
• Engage directly with strategic customers and design partners at the VP+ level.
  
  
• Define KPIs and drive disciplined execution.

We will be happy to have you on our team if you are:

• A senior product leader with C-suite accountability.
  
  
• Experienced in building platform, governance, or developer tooling products.
  
  
• Strong in both strategy and execution, with no tendency toward “big bang” thinking.
  
  
• Comfortable working with enterprise customers and hybrid environments.
  
  
• An excellent communicator and cross-functional leader.
  
  
• Data-driven and outcome-oriented.

We would be especially thrilled if you have:

• Experience with RBAC/ABAC or multi-tenant systems.
  
  
• A background in hybrid/cloud SaaS.
  
  
• Experience running design partner programs.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID 
#LI-AA1

Please note that this is a Full-Time Contractor (12-month contract) – you’ll have the flexibility to work remotely, with the option to join us in the office whenever you’d like!

At Picsart, creators are at the heart of everything we do. We believe that delivering exceptional creator experiences is key to our success. Our Design disciplines, Product Design, User Research, and UX Writing, shape these experiences and help define what’s next for Picsart.

In this role, you’ll design and shape the next generation of AI-powered creative experiences across Picsart. This includes evolving areas like Drive, AI Agents, and emerging product surfaces where creation, exploration, and automation come together.

You’ll help define how creators interact with intelligent systems, where content doesn’t just live but becomes usable, discoverable, and actionable. From AI-assisted workflows to agent-driven experiences, you’ll contribute to shaping a more adaptive, context-aware creative platform.

You’ll work across web and mobile platforms, designing systems that support how creators generate, organize, and evolve their work in an AI-native environment.

Embedded within core product areas, you’ll partner with product, engineering, growth, monetization, and product marketing teams to drive meaningful outcomes for both users and the business.

This is a hands-on individual contributor role. We’re looking for someone who leads through craft, contributing high-quality design work and influencing through execution.

You will operate with an AI-first design workflow, from ideation to prototyping, leveraging tools beyond Figma, including AI-assisted prototyping and code-based exploration, to move quickly and validate ideas in real contexts.

How You'll Make an Impact

• Design systems and interactions that define how AI-powered tools, agents, and workflows behave and feel.
• Work across interconnected experiences such as Drive, Agents, and creation flows to ensure coherence and continuity.
• Shape how assets, outputs, and ideas are surfaced, reused, and activated through intelligent systems such as search, recommendations, and automation.
• Create scalable patterns for organization, discovery, and interaction across complex and evolving product ecosystems.
• Sketch, prototype, and test rapidly using a mix of design and AI or code-based tools.
• Use research and data to ensure solutions align with real creative workflows and needs.
• Partner with product and data scientists to translate behavioral insights into product improvements.
• Work closely with engineering, product, growth, and marketing to ship cohesive, high-impact experiences.
• Push for excellence in craft and systems thinking, helping define the standard for AI-native product design.

What You'll Bring

• 5+ years of experience designing consumer-facing products, ideally SaaS, creative tools, or productivity platforms
• Experience designing complex systems or workflows such as content platforms, dashboards, automation tools, or multi-surface ecosystems
• Strong systems thinking, with the ability to design beyond individual screens
• Experience working with AI-assisted design workflows and rapid prototyping approaches
• Comfort working beyond traditional tools, not limited to Figma
• Familiarity with front-end code or code-based prototyping such as vibe coding
• Strong visual and interaction design skills including typography, layout, motion, and systems thinking
• Experience improving key user flows such as activation, retention, and engagement
• Strong communication and collaboration skills
• A portfolio demonstrating end-to-end thinking and measurable impact

Good To Have

• Experience designing AI powered features such as search, recommendations, auto tagging, or smart organization
• Familiarity with creative workflows such as design, video, or content production
• Experience with file systems, cloud storage, or asset management tools
• Interest in shaping AI native product experiences beyond traditional UI patterns

#LI-NA1

Please note that this is a Full-Time Contractor (12-month contract) – you’ll have the flexibility to work remotely, with the option to join us in the office whenever you’d like!

At Picsart, creators are at the heart of everything we do. We believe that delivering exceptional creator experiences is key to our success. Our Design disciplines, Product Design, User Research, and UX Writing, shape these experiences and help define what’s next for Picsart.

In this role, you’ll design and shape the next generation of AI-powered creative experiences across Picsart. This includes evolving areas like Drive, AI Agents, and emerging product surfaces where creation, exploration, and automation come together.

You’ll help define how creators interact with intelligent systems, where content doesn’t just live but becomes usable, discoverable, and actionable. From AI-assisted workflows to agent-driven experiences, you’ll contribute to shaping a more adaptive, context-aware creative platform.

You’ll work across web and mobile platforms, designing systems that support how creators generate, organize, and evolve their work in an AI-native environment.

Embedded within core product areas, you’ll partner with product, engineering, growth, monetization, and product marketing teams to drive meaningful outcomes for both users and the business.

This is a hands-on individual contributor role. We’re looking for someone who leads through craft, contributing high-quality design work and influencing through execution.

You will operate with an AI-first design workflow, from ideation to prototyping, leveraging tools beyond Figma, including AI-assisted prototyping and code-based exploration, to move quickly and validate ideas in real contexts.

How You'll Make an Impact

• Design systems and interactions that define how AI-powered tools, agents, and workflows behave and feel.
• Work across interconnected experiences such as Drive, Agents, and creation flows to ensure coherence and continuity.
• Shape how assets, outputs, and ideas are surfaced, reused, and activated through intelligent systems such as search, recommendations, and automation.
• Create scalable patterns for organization, discovery, and interaction across complex and evolving product ecosystems.
• Sketch, prototype, and test rapidly using a mix of design and AI or code-based tools.
• Use research and data to ensure solutions align with real creative workflows and needs.
• Partner with product and data scientists to translate behavioral insights into product improvements.
• Work closely with engineering, product, growth, and marketing to ship cohesive, high-impact experiences.
• Push for excellence in craft and systems thinking, helping define the standard for AI-native product design.

What You'll Bring

• 5+ years of experience designing consumer-facing products, ideally SaaS, creative tools, or productivity platforms
• Experience designing complex systems or workflows such as content platforms, dashboards, automation tools, or multi-surface ecosystems
• Strong systems thinking, with the ability to design beyond individual screens
• Experience working with AI-assisted design workflows and rapid prototyping approaches
• Comfort working beyond traditional tools, not limited to Figma
• Familiarity with front-end code or code-based prototyping such as vibe coding
• Strong visual and interaction design skills including typography, layout, motion, and systems thinking
• Experience improving key user flows such as activation, retention, and engagement
• Strong communication and collaboration skills
• A portfolio demonstrating end-to-end thinking and measurable impact

Good To Have

• Experience designing AI powered features such as search, recommendations, auto tagging, or smart organization
• Familiarity with creative workflows such as design, video, or content production
• Experience with file systems, cloud storage, or asset management tools
• Interest in shaping AI native product experiences beyond traditional UI patterns

#LI-NA1

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Mission:

The Head of AI will play a key role in driving the success of Smartcat’s mission to become the end-to-end Language AI platform for global enterprises. In this role, you will shape Smartcat's AI strategy, unlocking the potential of AI to create new, innovative use cases or reinvent existing user experiences, delivering measurable value to our enterprise clients in multilingual content generation, translation, and analysis.

Outcomes:

• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises
• Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy
• There are three high-impact areas to focus on over the next 12 months:
• Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. Your goal will be to introduce a holistic approach to measuring language quality across various use cases for translation and multilingual content generation. You will aim to achieve consistent improvement in these metrics quarter over quarter for our enterprise customers, significantly reducing the required editing effort on their end. (We are already making progress in this area and have achieved measurable results, but there is still enormous potential for innovation and breakthroughs.)
  You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers.
• Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences.
• AI-Driven Customer Lifecycle: Smartcat has strong inbound and PLG/PLS motions, with thousands of new verified logos signing up on the platform every quarter. You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. This product will also tailor the overall UX and guide users through their next steps within the platform.
• You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

Requirements:

• 10+ years of experience as an Engineering and Product leader with at least 2+ years leading AI/ML unit for a tech company
• A deep understanding of the current state of ML and AI, along with a natural passion and curiosity to stay ahead of the rapidly evolving AI landscape and drive innovation within it.Experience creating and driving a strategic AI roadmap with the ability to inspire and align a team
• Strategic mindset with a proactive approach to identifying opportunities and challenges
• Ability to effectively present and communicate at the executive and board level
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others
• Strong preference to consider candidates who live on the East Coast, Boston or New York area, but will consider other areas for the right candidate. 
• Native-level fluency in English, both written and spoken

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base.

Outcomes 

• Design, develop, and deploy backend services and APIs that solve real-world customer challenges
• Optimize application performance, scalability, and security
• Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services
• Troubleshoot and resolve production issues efficiently
• Actively participate in code reviews, knowledge sharing, and continuous learning

Requirements 

• 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C#
• 2+ years of experience in product companies (SaaS)

• Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code
• Experience with writing and maintaining Unit tests and E2E tests
• Advanced experience with MongoDB
• Upper-intermediate or higher English proficiency (written and spoken)
• Strong problem-solving skills and a growth mindset
• Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination
• Openness to constructive feedback and value the ideas and opinions of others

Our technologies

• Backend: .NET Core (C#), Python
• Frontend: Vue.js 2/3, Nuxt 3, Typescript
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

Please note that this is a Contractor (12-month contract) role – you’ll have the flexibility to work remotely, with the option to join us in the office whenever you’d like!

At Picsart, creators are at the heart of everything we do. We believe that delivering exceptional creator experiences is key to our success. Our Design disciplines, Product Design, User Research, and UX Writing, shape these experiences and help define what’s next for Picsart.

In this role, you’ll design and shape the next generation of AI-powered creative experiences across Picsart. This includes evolving areas like Drive, AI Agents, and emerging product surfaces where creation, exploration, and automation come together.

You’ll help define how creators interact with intelligent systems, where content doesn’t just live but becomes usable, discoverable, and actionable. From AI-assisted workflows to agent-driven experiences, you’ll contribute to shaping a more adaptive, context-aware creative platform.

You’ll work across web and mobile platforms, designing systems that support how creators generate, organize, and evolve their work in an AI-native environment.

Embedded within core product areas, you’ll partner with product, engineering, growth, monetization, and product marketing teams to drive meaningful outcomes for both users and the business.

This is a hands-on individual contributor role. We’re looking for someone who leads through craft, contributing high-quality design work and influencing through execution.

You will operate with an AI-first design workflow, from ideation to prototyping, leveraging tools beyond Figma, including AI-assisted prototyping and code-based exploration, to move quickly and validate ideas in real contexts.

How You'll Make an Impact

• Design systems and interactions that define how AI-powered tools, agents, and workflows behave and feel.
• Work across interconnected experiences such as Drive, Agents, and creation flows to ensure coherence and continuity.
• Shape how assets, outputs, and ideas are surfaced, reused, and activated through intelligent systems such as search, recommendations, and automation.
• Create scalable patterns for organization, discovery, and interaction across complex and evolving product ecosystems.
• Sketch, prototype, and test rapidly using a mix of design and AI or code-based tools.
• Use research and data to ensure solutions align with real creative workflows and needs.
• Partner with product and data scientists to translate behavioral insights into product improvements.
• Work closely with engineering, product, growth, and marketing to ship cohesive, high-impact experiences.
• Push for excellence in craft and systems thinking, helping define the standard for AI-native product design.

What You'll Bring

• 5+ years of experience designing consumer-facing products, ideally SaaS, creative tools, or productivity platforms
• Experience designing complex systems or workflows such as content platforms, dashboards, automation tools, or multi-surface ecosystems
• Strong systems thinking, with the ability to design beyond individual screens
• Experience working with AI-assisted design workflows and rapid prototyping approaches
• Comfort working beyond traditional tools, not limited to Figma
• Familiarity with front-end code or code-based prototyping such as vibe coding
• Strong visual and interaction design skills including typography, layout, motion, and systems thinking
• Experience improving key user flows such as activation, retention, and engagement
• Strong communication and collaboration skills
• A portfolio demonstrating end-to-end thinking and measurable impact

Good To Have

• Experience designing AI powered features such as search, recommendations, auto tagging, or smart organization
• Familiarity with creative workflows such as design, video, or content production
• Experience with file systems, cloud storage, or asset management tools
• Interest in shaping AI native product experiences beyond traditional UI patterns

#LI-NA1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

With hundreds of thousands of users around the world, IntelliJ IDEA is the best development environment for Java and other programming languages. We have created several other IDEs and additional products for working with code, such as Qodana, based on the IntelliJ Platform.

We want to develop our platform, make it more flexible, and adapt it to various tasks and scenarios. Recently, we’ve implemented several major changes relating to our in-IDE licensing subsystem. These include new free license options and the release of AI Assistant and Junie. Now, we need to reimagine and modernize our licensing subsystem entirely.

Requirements: 

• Experience working on Java or Kotlin projects.
• The ability to solve complex technical problems in real products with a wide range of customers.
• Knowledge of algorithms and data structures.
• English language proficiency sufficient for correspondence, including with end users.

Our ideal candidate would have: 

• Experience working with profilers.
• Experience creating and designing APIs.
• Experience writing plugins for IntelliJ IDEA.
• Knowledge of how code analysis tools work.
• Knowledge and experience using other programming languages besides Java and Kotlin.

How we work:

• We store our source code in Git, with some of the code stored publicly on GitHub. (https://github.com/JetBrains/intellij-community).
• Most of our source code is written in Java and Kotlin. However, there are also small pieces that are written in Rust, C, and C++.
• To organize our team’s work, we use JetBrains tools, including Space for code reviews, TeamCity for automated testing and product builds, and YouTrack for bug tracking.

#LI-DNI