Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Role: Temporary Role (6 month Maternity Leave Replacement)
• Type: Individual Contributor, internship
• Languages: English (main) 
• Main Tools: Greenhouse, Bamboo HR, Google Sheets, Linkedin Recruiter
• Location: Madrid or Lisbon

How You’ll Shape Our Story:

As Talent Acquisition intern, your main goal will be to ensure Powerdot hires the right talent with speed and quality, while supporting internal mobility and giving hiring managers a smooth, structured, and efficient recruitment experience. As part of the People team, you will manage and support the end-to-end recruitment process for assigned roles across the business. 

• Partner with hiring managers to understand hiring needs, define role requirements, and align on recruitment strategy
• Draft, review, and publish clear and attractive job descriptions and job ads 
• Manage job postings across different channels, including job boards, social media, and other sourcing platforms
• Source candidates through LinkedIn, referrals, internal talent pools, agencies, and proactive pipeline building
• Review applications and shortlist candidates based on role requirements and business needs
• Conduct screening interviews to assess candidate fit, motivation, and relevant experience
• Schedule and coordinate interviews with hiring managers and other stakeholders
• Support interview process quality by ensuring consistency, structure, and a strong candidate experience 
• Manage assessment steps when needed, such as skills tests, business cases, or scorecards
• Collect and consolidate interview feedback to support decision-making
• Conduct reference checks when required
• Prepare and coordinate offer creation, offer communication, and offer negotiation with candidates
• Ensure a smooth hiring process from kick-off to signed offer
• Track recruitment activity and maintain accurate data for reporting and forecasting
• Follow up on open requisitions and hiring plans with managers and stakeholders
• Support internal mobility processes, including internal candidates, transfers, and promotions into critical roles
• Contribute to talent acquisition reporting and process improvement initiatives
• Help maintain strong employer branding by ensuring quality candidate communication and market visibility  

What success looks like in this role:

• Critical roles are filled on target
• New hires show strong quality and successful probation outcomes
• Internal talent is actively considered and moved into key positions
• Hiring managers feel well supported and informed throughout the process
• Recruitment data is accurate and useful for planning and decision-making

This Is About You, Not Us 🫵🏼:

We are looking for someone hands-on, organized, and able to move with pace in a dynamic environment. 

Must-have requirements:

• Fluency in English is mandatory
• Managing full-cycle recruitment 
• Strong stakeholder management skills, with the ability to partner effectively with hiring managers
• Ability to manage several open roles at the same time while keeping quality and speed
• Strong communication and organizational skills
• Good judgment in candidate assessment and selection
• Comfort working with Greenhouse ATS and recruitment reporting
• Experience recruiting across different functions or countries

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (last year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

Title: Sales Development Representative, LATAM

Location: Spain; Madrid 

Experience: Entry Level

Job Function: Sales Development

Employment Type: Full time

Industry: Computer & Network Security

About The Position

In 2019, Keyfactor decided to widen its investment and acquired Redtrust, a Spanish company pioneer in the management of people's identity through the custody and management of digital certificates. Redtrust has a strong reputation for providing top-notch products and services in Spain. The expansion to the Latin American market is a natural progression for the company, which aims to meet the growing demand for secure digital signing tools in the region.

Redtrust is expanding and looking to add an enthusiastic, professional, and goal-oriented Sales Development Representative (SDR) to our team. Currently, as part of our internationalization strategy in LATAM, we want to expand our sales team with a special focus on the Brazilian market.

The Sales Development Representative (SDR) identifies and qualifies new leads to generate potential sales opportunities. SDRs with Redtrust work in a highly consultative role, developing the initial interest in Redtrust digital certificates solution.  The right candidate will be highly proficient in establishing relationships with key decision makers including the “C” level and have a proven ability to qualify and penetrate mid-market to enterprise commercial corporate accounts. 

The position is based in Madrid office, we have a hybrid work pattern and excellent flexible working practices. 

The working hours will be 12:00pm – 8:00pm or 1:00pm – 9:00pm ( +one hour - lunch break) to cover part of LATAM timezone hours. The position requires fluency in written & verbal Portuguese. 

Responsibilities

• Builds and maintains a healthy top-of-funnel pipeline, ensuring a steady flow of qualified opportunities for Sales Directors.
• Utilizes an Account-Based Experience strategy to tailor interactions and engagements with targeted accounts, enhancing lead quality and conversion rates.
• Works with the marketing team to amplify the reach and effectiveness of campaigns within their territory and follows up with inbound leads, ensuring no opportunity is missed.
• Identifies and engages with key stakeholders within targeted accounts, leveraging insights and data to personalize outreach and communications.
• Conducts initial qualification of leads, assessing their fit and potential value before passing them along to Enterprise Sales Directors for further development.
• Gathers and reports insights on market trends, competitor activities, and potential opportunities to inform sales and marketing strategies.
• Utilizes outbound sales tactics such as cold calling, email campaigns, and social selling to engage potential clients.
• Collaborates with marketing to leverage campaigns and events for pipeline acceleration.
• Conducts market research to understand industry trends, competitor landscapes, and potential customer pain points.
• Maintains accurate records of sales activities and pipeline development in CRM tools.

Skills and Qualifications

• High school diploma or equivalent; bachelor’s degree in business, marketing, or a related field or equivalent experience.
• Experience in sales, customer service, or a related role.
• Experience in B2B field.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Basic knowledge of CRM systems.
• Effective communication and interpersonal skills.
• Ability to conduct research and identify potential leads.
• Capability to handle initial sales inquiries and follow up on leads.
• Adaptability to learn new sales techniques and tools.
• Basic understanding of sales processes and CRM tools.
• Familiarity with marketing tactics and lead generation.
• Some relevant work experience in a similar role
• Fluent in Portuguese and Spanish language (English is a plus). Please note it is an essential requirement for this role that incumbent is fluent in Portuguese (written & verbal).

#LI-NA1

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Role: Temporary Role (6 month Maternity Leave Replacement)
• Type: Individual Contributor
• Languages: English (main) 
• Main Tools: Greenhouse, Bamboo HR, Google Sheets, Linkedin Recruiter
• Location: Madrid

How You’ll Shape Our Story:

As Talent Acquisition Specialist, your main goal will be to ensure Powerdot hires the right talent with speed and quality, while supporting internal mobility and giving hiring managers a smooth, structured, and efficient recruitment experience. As part of the People team, you will manage and support the end-to-end recruitment process for assigned roles across the business. 

• Partner with hiring managers to understand hiring needs, define role requirements, and align on recruitment strategy
• Draft, review, and publish clear and attractive job descriptions and job ads 
• Manage job postings across different channels, including job boards, social media, and other sourcing platforms
• Source candidates through LinkedIn, referrals, internal talent pools, agencies, and proactive pipeline building
• Review applications and shortlist candidates based on role requirements and business needs
• Conduct screening interviews to assess candidate fit, motivation, and relevant experience
• Schedule and coordinate interviews with hiring managers and other stakeholders
• Support interview process quality by ensuring consistency, structure, and a strong candidate experience 
• Manage assessment steps when needed, such as skills tests, business cases, or scorecards
• Collect and consolidate interview feedback to support decision-making
• Conduct reference checks when required
• Prepare and coordinate offer creation, offer communication, and offer negotiation with candidates
• Ensure a smooth hiring process from kick-off to signed offer
• Track recruitment activity and maintain accurate data for reporting and forecasting
• Follow up on open requisitions and hiring plans with managers and stakeholders
• Support internal mobility processes, including internal candidates, transfers, and promotions into critical roles
• Contribute to talent acquisition reporting and process improvement initiatives
• Help maintain strong employer branding by ensuring quality candidate communication and market visibility  

What success looks like in this role:

• Critical roles are filled on target
• New hires show strong quality and successful probation outcomes
• Internal talent is actively considered and moved into key positions
• Hiring managers feel well supported and informed throughout the process
• Recruitment data is accurate and useful for planning and decision-making

This Is About You, Not Us 🫵🏼:

We are looking for someone hands-on, organized, and able to move with pace in a dynamic environment. 

Must-have requirements:

• Fluency in English is mandatory
• At least 5 years of experience in a Talent Acquisition role
• Proven experience managing full-cycle recruitment 
• Strong stakeholder management skills, with the ability to partner effectively with hiring managers
• Ability to manage several open roles at the same time while keeping quality and speed
• Strong communication and organizational skills
• Good judgment in candidate assessment and selection
• Comfort working with ATS and recruitment reporting
• Experience recruiting across different functions or countries

Nice to have

• Fluency in French and/or Spanish
• Experience in fast-paced, international, or scale-up environments

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (last year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

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

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

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

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#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.

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 ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• 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 ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

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-DNI

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. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

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

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• 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 customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three 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 ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived 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.

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

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

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

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

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

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

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (convenio de prácticas) signed by your school or university for 6 months and you are able to start your internship around August 31th in Madrid. 
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• Spanish is mandatory at a fluent level and you can communicate clearly in English. French is not mandatory. 

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 1800€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
  Technical interview 2 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. 

About the Role

This position is exclusively for Spain citizens or candidates who hold a Spanish working Visa who live or are willing to relocate to Madrid. 

We are looking for a Conversational Designer who is capable of combining Artificial Intelligence with the best UX Design practices to create and evolve agile, effective, and humanized conversational interactions. This person will have the opportunity to consider the entire user journey, designing intelligent and intuitive solutions for multiple digital channels such as WhatsApp, Blipchat, Messenger, Instagram, among others.

Creative, technical, and analytical skills, along with strong collaboration abilities, are essential for this position, as it will involve a great deal of interaction between countries such as Mexico and Brazil. Additionally, as a global company, Blip values knowledge of other languages, especially English.. 

In your day-to-day, you will work in squads and also  and also have the opportunity to participate in innovation and continuous improvement initiatives applied to conversational design. You will also benefit from regular knowledge-sharing meetings, career development plans, and interactive reports to track your performance.

The main responsibilities you will have are:

• Gather, use, and apply inputs that enable the construction and evolution of the product based on the client’s business goals/rules and user needs;
• Analyze needs, technical feasibility, and opportunities for using AI in each delivery;
• Conduct workshops and other dynamics with clients and users for diagnostics, co-creations, and validations;
• Design end-to-end conversational flows, applying UX best practices and cognitive principles (NLP, Generative AI, Regex, Fuzzy Matching) to ensure fluid and effective interactions;
• Model, monitor, and improve chatbot AI, ensuring brand and language consistency across all user touchpoints;
• Master the Blip platform’s functionalities, our AI products, and other cognitive solutions available in the market;
• Materialize ideas for stakeholder validation through prototypes and dynamic presentations;
• Define requirements and scripts for conversational experience quality testing;
• Define and monitor conversational experience metrics;
• Generate insights to feed the chatbot’s evolutionary roadmap;
• Document the entire process following the area’s recommendations and best practices;
• Use AI to optimize internal workflows;
• Participate in internal initiatives to support development, disseminate knowledge, and strengthen the conversational ecosystem;
• Work collaboratively and integratively with non-technical teams, fostering strategic discussions and continuously sharing learnings.

What are the requirements?

• Experience with research techniques, personas, and user journey mapping;
• Experience in Information Architecture, Design Thinking, and Design Systems;
• Familiarity with prototyping solutions and usability testing;
• Proficiency in writing techniques (UX Writing);
• Ability to facilitate sessions with stakeholders;
• Curating and architecting AI applied to chatbots;
• Understanding and practical application of RegEx and Fuzzy Match;
• Experience with AI providers like Watson, LUIS, and Dialogflow;
• Knowledge of conversational interaction experience metrics;
• Data extraction and analysis (SQL, Python);
• Basic understanding of prompt engineering;
• Strong interest in creative processes, user behavior, and innovation;
• Experience with design tools (e.g., Figma) and agile methodologies;
• Process and project documentation and organization;
• Good time management and prioritization;
• Excellent communication skills and client-facing abilities.
• Fluent English skills

It’s a plus if you have:

• Solid experience in multichannel conversational interactions;
• Knowledge of Machine Learning and Deep Learning concepts;
• Familiarity with the Blip platform;
• Flexibility and adaptability to constant context changes;
• Intermediate proficiency in Portuguese.