At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to build some of the world’s most powerful and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The C++ Ecosystem team builds C++ support across CLion and IntelliJ IDEA. As AI drives a new era in software development, we’re working hard to ensure that our products integrate AI capabilities effectively and stay at the forefront of the AI-powered software development tooling industry.

We are seeking an experienced C++ Development Lead to drive the team’s efforts in delivering AI-enhanced products and building new AI-powered solutions.

In this role, you will:

• Join an engineering team with diverse levels of experience and expertise – with a focus on integrating AI into our existing products and working on new AI-powered offerings.
• Collaborate effectively with product managers, ML and QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
• Contribute to the product roadmap and participate in the feature design process.
• Constantly refine team processes and culture to ensure smooth delivery and agility.
• Act as a coach rather than a manager who’s detached from hands-on work – spending some time personally designing and working on technical tasks and software architecture.
• Rapidly assimilate extensive technical information and dive deep into mature codebases.
• Coach your team members on their technical and soft skills and provide them with feedback to help them improve every day.

We would be delighted to have you on our team if you have:

• Substantial previous experience with Kotlin and/or Java
• Bleeding-edge knowledge and interest in the current landscape of AI technologies used in software development tooling. You read the latest news, constantly try new tools, and know how agents work under the hood.
• A proven record of joining mature teams and making a major impact as an individual contributor.
• A proven track record of proposing and implementing radical solutions that move the needle on complex technical issues without sacrificing existing quality.
• The ability to communicate effectively with a diverse set of colleagues, including both managers and peers.
• A clear understanding of product management and its role in the development life cycle as a whole.

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.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• 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-DNI

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world, giving developers the freedom to grow, discover, and create. Over 15 million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, while also allowing them to deliver more creative and effective results.

Kineto is a truly no-code platform. Seriously, there is no way to see the code. The output is web applications that are already deployed and ready to be shared. Our main audience is creators with little to no coding experience. 

In this role, you will: 

• Design and deliver high-quality user interfaces by creating wireframes, mockups, and interactive prototypes.
• Own the design direction and lead large-scale initiatives from vision and strategy to execution.
• Collaborate with product managers, developers, researchers, and stakeholders to define problems, align on goals, and ensure design solutions meet user and business needs.
• Effectively communicate design concepts and decisions to stakeholders and the team to promote alignment and understanding.
• Conduct and analyze usability testing and user research to create design solutions based on real user needs and behavioral data.
  
  

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

• Are proficient in Figma and the Adobe Suite.
• Can apply an existing brand’s visual language consistently within product interfaces.
• Are able to clearly articulate design decisions, explain thought processes, identify issues, and justify proposed solutions.
• Have a realistic understanding of your strengths and areas for growth.
• Can participate actively in product discussions and cross-functional collaboration.
• Are able to guide tasks end to end, from design solution through implementation and user feedback.
• Feel comfortable working in a highly iterative environment and adapting solutions as the product evolves.

We would be especially thrilled if you have: 

• Hands-on experience with vibecoding, including code-driven or AI-assisted prototyping workflows.
  
  #LI-DNI

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

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

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.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• 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-DNI 

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

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

The Innovation Hub at JetBrains is dedicated to exploring groundbreaking products that open new markets and transform pioneering ideas into impactful solutions.

About the team
We are Project Bonsai, an early-stage experimental startup within JetBrains’ Innovation Hub. 

Our goal is to build the infrastructure for AI-spec-driven development, where:

• System requirements, architecture, and code are formally connected.
• AI agents are guided by infrastructure requirements and developers' intentions for greater reliability and trust.
• The system can detect and prevent spec-code drift.

We are a small, hands-on team, working on a project that’s still in its early stages. We have a working prototype, but the core intermediate language design, architecture, tooling, and UX are still being shaped.

This is an opportunity to do greenfield product work, not maintenance or incremental development.

About the role

We are looking for a Product Lead / Entrepreneur in Residence to work alongside the technical founder and own the product strategy for Bonsai.

This is not a traditional product management role. Your focus will be on deeply understanding real developer workflows: where specs, architecture, and code break down, what causes friction, and what problems are actually worth solving. You will translate these insights into concrete product requirements and priorities.

In this role, you will:

• Own the product strategy: You’ll define the product direction based on the existing technical foundation and validate the strongest hypotheses.
• Run continuous discovery: This involves talking directly to developers to understand workflows, constraints, and failure modes in real systems.
• Define the initial scope: You’ll be responsible for identifying the ICP, key scenarios, and what to build first, balancing ambition with feasibility.
• Track the ecosystem: You’ll monitor adjacent tools, competitors, and research to inform positioning and priorities.
• Work closely with the engineering team: You’ll help everyone maintain focus and alignment in a highly ambiguous, early-stage environment.

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

• Hands-on product ownership experience or experience in a role with an equivalent level of responsibility where you owned discovery and delivery end to end.
• Technical background or mindset, including the ability to work with complex technical systems; production coding experience is a strong plus.
• Comfort with ambiguity, evidenced by experience turning unclear problems into a concrete plan through discovery and iteration.
• Zero-to-one exposure, such as experience with early product discovery, design partners, or first real adoption.
• Relevant domain experience, for example with developer tools, IDEs, workflow products, or developer productivity platforms.
• Familiarity with or curiosity about AI agents and AI-driven tooling used in real systems.

Why join Project Bonsai?

• Foundational work: Help define a new direction in developer tooling at the intersection of programming languages and AI.
• Deep technical problems: Work on language design, formal specs, tooling, and AI agents – not surface-level features.
• Real ownership: Own the product’s strategy and direction, working in a role closer to that of a founder than a classic PM.
• JetBrains environment: Enjoy startup-level autonomy with JetBrains’ engineering culture and long-term mindset.

#LI-YY1

#LI-HYBRID #LI-EY1

At JetBrains, our mission is to make professional software development more productive and enjoyable. We are committed to continuous innovation and excellence, delivering solutions that empower developers to build, test, and deploy high-quality software. Our products are known for their robustness, intuitive design, and seamless integration into the development workflow.

Our team is composed of passionate, talented professionals who thrive on tackling challenging problems and creating innovative solutions. We foster a dynamic and supportive work environment that encourages collaboration, creativity, and professional growth.

We are seeking a visionary Head of Brand to lead the development and execution of strategies that will elevate our brand's global presence and impact. You should be driven by a passion for building strong, recognizable brands and excel at integrating cross-functional efforts to create cohesive and compelling brand narratives. Your focus will be on long-term brand growth and alignment with our business objectives. This is a unique opportunity to shape the future of software development tools and join a company at the forefront of technological innovation. If you are passionate about developer tools and have a proven track record in technology marketing and brand building, we invite you to join our team and contribute to our mission of enhancing developer productivity worldwide.

In this role, you will:

• Develop and implement comprehensive brand strategies to enhance brand recognition across global markets for B2C and B2B audiences.
• Enhance the brand’s presence and reputation by developing and maintaining a strong brand voice and identity that resonates with target audiences.
• Increase company awareness by bringing content and stories to life.
• Oversee the development and implementation of innovative marketing campaigns to increase brand awareness and user engagement.
• Lead and mentor a team of brand marketing professionals, fostering a collaborative culture of creativity and excellence.
• Collaborate with cross-functional teams, including design, product, product marketing, and marketing communications, to ensure consistent brand messaging and visual identity.
• Manage the brand marketing budget, ensuring the efficient allocation of resources and maximizing ROI.
• Conduct market research and analyze consumer insights to inform brand strategies and identify growth opportunities.
• Identify and establish strategic partnerships with key industry players, influencers, and communities to expand reach and drive brand metrics.
• Monitor and analyze brand performance metrics, using insights to optimize strategies and drive continuous improvement.
• Stay up to date with industry trends, the competitive landscape, and emerging marketing technologies to keep the brand ahead of the curve.

We’ll be happy to have you on our team if you have:

• A bachelor's degree in marketing, business, communications, or a related field – with a master's degree being a plus.
• At least 12 years of experience in brand management driving prominent brands or in a similar role, preferably within the tech industry, in communications, or with a creative agency.
• A proven track record of developing and executing successful brand strategies and marketing campaigns for large, international tech brands with a global audience.
• A deep understanding of modern tech trends and agendas.
• Strong leadership and team management skills, with the ability to inspire and motivate a diverse team.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
• Strong strategic thinking and analytical skills, with the ability to translate data into actionable insights.
• The ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• A creative mindset and passion for innovation and excellence in brand building.

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

• Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
• Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
• Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
• Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
• Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
• Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
• Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. 

We’ll be happy to bring you on board if you have:

• Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
• Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
• Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
• At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
• Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
• Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
• AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
• Inference optimization and serving optimized models in production.

#LI-KP1

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

One of the projects we’re working on within the JetBrains Innovation Hub is the Live Debugger, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

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.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• 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-REMOTE 
#LI-KT1

At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster and with fewer distractions by automating routine checks and fixes.

Hexana is a project within JetBrains’ Innovation Hub. We’re building a reverse engineering and binary analysis toolkit that brings semantic understanding of compiled binaries into the IDE and AI-assisted disassembly workflows.

We started developing Hexana with WebAssembly and have already shipped an MVP with over 1,000 downloads and early adopters that include teams at Oracle and various others from within the Kotlin ecosystem. Now we’re expanding into the broader binary world: ELF, Mach-O, PE, APE, LLVM bytecode, and more. The goal is to define a new category inside the IDE ecosystem.

We’re now looking for a Product Manager to help move Hexana from early validation to a scalable, strategically positioned product by driving research, refining direction, and building the case for long-term impact.

This role could be a good fit if you:

• Want to shape a new category in developer tooling.
• Are genuinely interested in low-level systems, binaries, and reverse engineering.
• Enjoy working at the intersection of deep technical work and product strategy.
• Are comfortable working in a small, highly technical team.
  
  

In this role, you will:

• Conduct discovery interviews with system engineers, reverse engineers, compiler developers, and other advanced users to understand their workflows and needs at the binary layer.
• Translate technical capabilities and user pain points into a clear, defensible roadmap.
• Continuously validate hypotheses and refine positioning through research and competitive analysis.
• Track the reverse engineering and binary tooling landscape, including IDA Pro, Ghidra, Binary Ninja, and others, to inform strategy.
• Define and evolve the go-to-market and monetization approach.
• Communicate product progress, strategy, and results to JetBrains sponsors and internal stakeholders.

We’ll be happy to have you on our team if you:

• Have at least 5 years of experience in product management or a role with similar ownership and responsibility.
• Have experience building or scaling developer tools, IDE plugins, workflow platforms, or other technically demanding products.
• Have directly influenced the success of a technically complex product, not just built processes around it.
• Have a strong technical mindset and can earn the respect of engineers working on compilers, binary formats, and low-level systems.
• Are comfortable with ambiguity and enjoy turning exploration and research into clear product direction.

We’d be especially glad if you:

• Have worked in reverse engineering, compiler, security, or binary tooling.
• Have zero-to-one experience shaping an early product, validating hypotheses, and driving initial adoption.
• Care about making complex, low-level systems more elegant, accessible, and integrated into the developer experience.

Hexana is still in its early stages, but it is real. The team is small, technical, and ambitious. This is an opportunity to help define how binary intelligence becomes a natural part of the modern IDE ecosystem, backed by one of the most respected developer tools companies in the world.

#LI-REMOTE 
#LI-KT1

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1