**We are open to this being fixed-term employment or day rate contract. The project is for 6 months.**

About the role

The Business Analyst role will support optimisation of our Workday platform and delivery of Workday's Advanced Compensation module through improved processes, configuration, and governance across HR, Reward, and technical teams.

This is a 6-month fixed-term contract reporting into our HR Master Data Lead. The role can be performed remotely or in one of our office locations (hybrid options available).

Key Responsibilities

• Supporting Workday optimisation initiatives, identifying opportunities to streamline functionality and improve user experience.
• Facilitating workshops, process mapping, and requirements gathering with HR, Reward and business stakeholders.
• Translating business requirements into Workday functional specifications, user stories, and acceptance criteria.
• Implementing automated solutions that resolve or reduce manual processes and align with Workday best practice.
• Supporting the creation, embedding and maintenance of HR data governance, including data definitions, controls, data quality frameworks and change governance.
• Developing and maintaining process documentation, including process flows, SOPs, configuration guides and change logs.
• Supporting UAT planning and execution, including test script creation and defect management.

About you

• Proven hands‑on experience with Workday HCM, including configuration, tenant review and troubleshooting.
• Experience implementing or enhancing Workday Advanced Compensation module (merit, bonus, stock).
• Strong capability in process improvement and understanding end‑to‑end HR process flows.
• Skilled at working with technical teams to ensure accurate configuration, integration and reporting outcomes.
• Understanding of HR processes, including Core HR, Talent, Compensation and data governance.
• Ability to translate business needs into clear functional specifications.
• Strong documentation, analytical and problem‑solving skills.

What Success Looks Like

• Optimised Workday processes that deliver a smoother, more intuitive experience for HR and the business.
• Well defined, clearly articulated requirements and documentation that support high‑quality system changes.
• A successful rollout of Advanced Compensation, with engaged stakeholders and minimal defects.
• Strong governance in place, with clear data definitions, quality controls and change processes.
• HR teams confident in new processes and functionality due to effective training and knowledge transfer.
• Continuous improvement embedded, with feedback loops that drive ongoing Workday enhancements.

About Inizio

At Inizio, we're a global team driven by a shared purpose: to reimagine health. Formed in 2022 through the coming together of Ashfield and Huntsworth, we unite decades of experience with cutting-edge capabilities to deliver impactful solutions across the commercialization journey - from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and drive meaningful outcomes for our clients and patients.

What sets Inizio apart is our people - and we believe everyone should have the opportunity to thrive. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make real change happen. It's a place where your individuality is valued, your development is supported, and your ambition is celebrated. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be.

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability.

#LI-DT2 #LI-HYBRID

#IND #LI-CT2

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland.

The Role

By applying your Mobile experience, and software development skills, you will build high quality and intuitive experiences for customer-facing and business-facing apps. You will collaborate with other developers to build scalable solutions that make it easy to build high quality products, and you will work alongside designers and other stakeholders to build exciting new features and refine existing experiences. You will integrate with our custom built in-shop embedded projects. Knowledge of more than one mobile stack as well as an interest in embedded systems is a bonus. 

For this role, we are focusing on hiring at the Senior level, which requires broad professional mobile development experience and a strong track record of leading complex initiatives and delivering broad impact. We recognise that job titles and responsibilities vary across companies; throughout our interview process we assess each candidate’s experience, technical depth and overall impact to ensure alignment with the appropriate level at Slice.

The Team

You will be part of our Devices development team that is responsible for all of our customer-facing and business-facing mobile and embedded products. Think pizza ordering apps, Point-of-sale and Kiosk’s to name a few. We believe that consolidating our skills on platform-specific teams leads to a better development environment where you can collaborate, learn from and grow alongside other device experts. Our team brings together talented developers from across the US, UK, and Eastern Europe, each contributing unique perspectives and expertise to drive success.

The Winning Recipe

We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small businesses and their customers. 

The core competencies this role calls for:

• Proven experience developing iOS apps with Swift, SwiftUI, Combine and Core Data.
• Hands-on experience designing, developing and maintaining Android applications with Kotlin & Jetpack Compose is required.
• Technical leadership and strategic impact: able to guide complex projects end-to-end, influence architecture decisions and lead peers.
• Experience with Python, particularly in developing web services, is a plus.
• Embedded systems experience is highly desirable.
• Able to clearly express opinions on product design, while respecting the thoughts and opinions of their peers.
• Adaptable, proactive and results-oriented, capable of delivering solutions efficiently and meeting tight deadlines.
• Proven ability to communicate and collaborate effectively with engineers across all platforms and non-engineering stakeholders alike.
• Comfortable working remotely and collaborating asynchronously with teammates in different timezones and from different backgrounds.

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to healthcare plans
• Flexible working hours
• Generous time off policies
• Employee wellbeing allowance
• Market leading maternity and paternity schemes

The Hiring Process

Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer.

• Application
• 30-minute introductory meeting
• 90 minute Live Coding Interview & 60 minute Technical Interview
• 30-minute Hiring Manager meeting
• Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

ABOUT THE TEAM

The Voyager team in Anduril Industries is an engineering and design division with a vast experience in developing innovative computing and communications solutions for the network edge. The team specializes in integrating enterprise networking capabilities from global IT leaders with purpose-built hardware and software platforms designed to meet market demands for the most stringent of environmental requirements.

ABOUT THE ROLE

We are seeking a Software Engineer to join our Software team in Dublin. This role will involve working on a range of projects including low-power compute modules, Baseboard Management Controllers (BMC), and IP routers. Candidate will be working on Linux-based embedded OSes, embedded applications and BSPs. An ability to learn new technologies quickly and a desire to work in challenging technical roles are key requirements. Anduril has a collaborative culture with plenty of opportunities for ownership. As a member of the team, your decisions today will have a large impact on the company now and into the future, as well as on our customers.

Key Responsibilities

• Develop high-quality software solutions based on technical requirements
• Collaborate with cross-functional teams to define, design, and ship new features
• Maintain existing codebase and troubleshoot issues as they arise
• Participate in code reviews to ensure best practices are being followed
• Collaborating with development and QA teams using SCRUM/Agile methodologies

Required Qualifications and experience

• Minimum 3 years relevant previous experience
• Bachelor's degree in Computer Science or related field
• Proficiency in multiple programming languages; Python, C/C++, Bash/Shell scripting
• Strong understanding of software development lifecycle
• Good Networking knowledge - IPv4/IPv6, NAT, VPN
• Experience working with virtualisation and container technologies e.g. KVM, Docker.
• Experience with underlying linux systems such as systemd, dbus, linux network stack.
• Experience with software development for linux
• Strong problem-solving skills
• Excellent communication skills
• Ability to document work clearly
• Ability to work independently with minimal supervision

Preferred Qualifications

• Experience with build tools like yocto or buildroot
• Experience with kernel debugging.
• GDB experience.

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: 

Benefits

• Matched pension contributions up to 10%
• An annual contribution toward your private health insurance for you and your dependents. 
• Income Protection: Anduril covers life and disability insurance for all employees. 
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. 
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. 
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. 
• Professional Development: Annual reimbursement for professional development 
• Commuter Benefits: Company-funded commuter benefits based on your region. 
• Relocation Assistance: Available depending on role eligibility. 
• Free car parking

POS-29684 

Location: Ireland or UK - Remote, Flex, or Office

Join HubSpot’s Design Team

The Flywheel Product Line is an org focused on helping HubSpot grow faster by using AI to dramatically improve how we serve customers and how our GTM teams work. We're doing this across three core areas:

• First, we’re building an AI concierge that supports customers throughout their lifecycle - solving support issues, identifying their goals, unlocking underused features, and helping them get more value from HubSpot. This AI agent qualifies their needs, guides them toward more advanced capabilities, answers support queries, and recommends upgrades - all autonomously, and across multiple formats: chat, voice, real-time AI-generated video and more. It’s a huge design challenge, cutting across use cases, modalities, and interfaces, and it’s something very few companies have even come close to doing well.
• Second, we’re extending our core product with AI-first tools that radically improve how HubSpot’s go-to-market teams (support, sales, customer success) work. That means eliminating repetitive admin work, giving managers superpowers to coach and scale, and helping reps focus on the right leads and the right moments. This is where small UX decisions turn into massive business impact - improving efficiency here directly influences revenue at a multi-billion dollar scale.
• Third, we’re building dedicated experiences for HubSpot’s global partner ecosystem - agencies and consultancies who sell and implement HubSpot on our behalf. These partners drive over $1B in revenue annually. We’re both creating agentic AI experiences for partner-specific needs, and enabling these businesses with unique tools in HubSpot that help them grow faster and operate more efficiently. Their workflows are unique, and their impact on HubSpot’s growth is massive, making this a critical area of focus for Flywheel.

As a Staff Product Designer, you won’t be embedded in a single team or feature area. Instead, you’ll operate at the product line level, shaping the future across multiple domains. You’ll work 3-12 months ahead of delivery — exploring opportunities, prototyping bold ideas, and building narratives that influence leaders across R&D and GTM. 

This role is about vision, strategy, and influence at scale - working at the very edge of what’s possible in applied AI, defining what’s next for a $30B+ company.

Why Flywheel?

Come join us for a career-defining opportunity to:

• Shape the future of applied AI: Work on problems very few companies have even attempted - like building autonomous multi-modal, multi-usecase AI concierges, AI-first GTM tools, and new agentic experiences for our global partner ecosystem.
• Operate at massive scale: Even small improvements in this space drive hundreds of millions in revenue impact. The work you’ll do here will directly influence hundreds of thousands of HubSpot customers.
• Career-defining scope: You’ll operate at the “tip of the spear” for innovation, crafting ideas, prototypes, and narratives that will influence the C-suite and set direction for HubSpot’s future.
• Experiment & explore: Think of this role like an applied design innovation lab - rapid, unorthodox, and experimental. You’ll be encouraged to prototype, test, and push bold ideas, not follow a rigid process.
• Work on platform-scale initiatives: Tackle ambiguous, high-impact problems that span the entire HubSpot platform, requiring a broad perspective and a focus on unified outcomes.
• Leverage data & AI: Harness smart data, advanced automation, generative AI, and LLMs to create personal, intelligent, and connected customer experiences.

What You’ll Do

• Define the future: Explore, visualize, and prototype bold concepts that shape where HubSpot’s GTM should go 3–12 months out.
• Understand complex systems: Research problems, map incentives, and identify opportunities across customer, GTM, and partner ecosystems.
• Prototype to influence: Create high-fidelity prototypes (in Cursor, Lovable, V0, Figma etc) and concept visuals to make abstract ideas tangible and compelling.
• Shape the narrative: Craft stories and presentations that inspire alignment and buy-in from product, GTM, and executive leaders.
• Raise the bar: Uplevel craft quality across the org by modeling strong design work, offering feedback, and sharing thinking through crits, office hours, or mentoring.

What You’ll Bring To HubSpot

We’re not looking for a single mold of designer. You might be:

• A designer with deep AI fluency - able to design adoptable AI-first products and push the boundaries of what’s possible.
• A craft-driven designer with exceptional interaction and visual design skills who can turn complex ideas into beautiful, adoptable experiences.
• A systems thinker and influencer who excels at managing complexity, aligning stakeholders, and selling bold futures to diverse, opinionated audiences.

To succeed, you’ll need:

• A growth mindset - curious, experimental, and not tied to a single way of working.
• Strong skills in concept visualization and prototyping (from decks to vibecoded prototypes).
• Experience driving 0–1 or highly ambiguous product work.
• Comfort operating in spaces with multiple stakeholders, incentives, and nonlinear problems.
• Excellent communication skills, with the ability to tell compelling stories that influence strategy.

We’re hiring across levels! If you’re earlier in your career, check out our Senior Product Designer role.

Role Description

We’re looking for a Commercial Counsel - EMEA Lead to be a key member of Dropbox’s global commercial legal team with a primary focus on EMEA sales and channel related deals, processes, and relationships, as well as EMEA-specific procurement deal work and support. Reporting directly to the Head of Global Commercial Legal, this leadership role offers an exciting opportunity to have company-wide impact primarily supporting Dropbox’s EMEA and global sales and channel strategy and other cross functional teams and EMEA-specific procurement deal work and support. 

This role is for an experienced in-house attorney in the commercial legal space with a client-first mindset and experience working closely with sales and channel teams to innovate and leverage technology to create and drive efficiencies in a world class commercial legal function in support of Dropbox’s business goals. You’ll be part of a team of attorneys and professionals responsible for drafting, reviewing, and negotiating a high volume of complex commercial contracts with Dropbox business customer, channel partners and distributors, and vendors around the world. Willing to act as both a team player and a mentor, you'll be primarily responsible for partnering with our sales and channel, finance, product, and other business teams to deliver efficient, scalable approaches to commercial matters, with a focus on sales and channel deals, processes, and relationships. This role also has an opportunity to take on and grow a management and leadership role in the EMEA region

The ideal candidate is an experienced commercial attorney who has partnered closely with in-house business teams, and sales and channel teams, in particular, and is passionate about supporting the business and who thrives in solving legal, technology and business issues. The ideal candidate also has management and leadership experience in the EMEA region, and has a good understanding of the EMEA regulatory scheme and how it impacts contractual relationships and negotiations, including GDPR, DORA, TUPE, and the EU AI Act. The ideal candidate must be empathetic and a team player who is effective in collaborating with others (and hopefully enjoy a few laughs and a bit of fun along the way!).

Responsibilities

• Partner closely and create strong working relationships with Dropbox’s business teams, with a primary focus on sales and channel partner, finance, product, and other business teams.
• Engage personally in complex deals and work collaboratively with various company teams to implement company initiatives.
• Develop and collaboratively implement an innovative strategy to increase the efficiency and effectiveness of delivering commercial legal support to Dropbox’s business.
• Partner with our LegalOps team to increase process automation, legal technology, and other efficiencies.
• Be an effective manager, leader, and mentor to other EMEA based commercial legal team members
• Be an active and trusted leader, problem solver, and innovator to key stakeholders across the company.

Requirements

• Minimum of 7+ years as a practicing commercial attorney, including substantive experience in drafting and negotiating complex commercial agreements, including SaaS, licensing, technology, equipment, and marketing agreements 
• Working understanding of the EMEA regulatory scheme and how it impacts contractual relationships and negotiations, including GDPR, DORA, TUPE, and the EU AI Act
• Experience partnering with globally distributed in-house business teams, particularly sales and channel teams, at a SaaS company to handle a high volume of complex commercial transactions
• Process and tool focused innovator who drives performance and efficiencies while building trusted relationships and empowering business partners
• Ability to translate complex legal issues into clear and simple guidance, and to partner effectively across all levels of the company
• Passion for client service and efficiency
• Familiarity with procurement legal systems and tools and experience developing and / or enhancing legal procurement processes and procedures
• At least one year of people management and leadership experience in an in-house legal environment
• High integrity, strong ethics, and an unflappable demeanor
• J.D. with strong academic credentials and demonstrated record of success as a lawyer
• Member in good standing of bar and (if applicable) in-house counsel registration

Preferred Qualifications

• Strong record of close partnership and being embedded with sales and channel partners teams in day-to-day sales and channel deal work and operations
• Direct experience implementing new sales and channel partner processes to drive efficiencies and empower self service with procurement teams
• Demonstrated ability to handle multiple types of cross-functional commercial matters, including procurement facing agreements, M&A integration and support, and commercial disputes

Compensation

📍Madrid or Barcelona, Spain  | 💰 €77,000 - €94,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Spain. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Spain
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Spain.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰A base salary of €77,000 - €94,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Barcelona or Madrid office 2 - 3 days a week.

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

📍Dublin, Ireland  | 💰 €108,000 - €132,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Ireland. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Ireland
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Ireland.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰€108,000 - €132,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Dublin office 2 - 3 days a week.

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

🏝 Annual Leave - 34 days including public holidays (24 holiday days + 10 public holidays)

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💰Pension scheme: the minimum contribution is 4% and Monzo matches any additional contributions that you make up to a maximum of 6%

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

An overview of this role

As the first Engineering Manager embedded the Upstream Studios organization at GitLab, you'll lead a focused team of Engineers responsible for two foundational surfaces: the Pajamas Design System, which powers the coherence of the entire GitLab product, and docs.gitlab.com, the documentation platform serving millions of GitLab users and contributors worldwide. 

This is a rare opportunity to define what engineering leadership looks like inside a design organization. You’ll report to the Chief Design Officer and partner closely with Product Design, Technical Writing, Localization, Marketing, Product Management, and Engineering leaders across GitLab. Critically, the design system is a contribution-based, company-wide platform that engineers across the entire organization depend on and actively participate in. Building those partnerships and making it easier for engineers everywhere to contribute to Pajamas will be central to your success. 

You’ll be a hands-on technical leader and people manager in equal measure: guiding architecture decisions, shaping contribution workflows, and helping a small, high-impact team do some of the most leveraged work at GitLab.

What you'll do

• Lead, mentor,and grow a high-performing team of engineers, working across the Pajamas Design System and the GitLab documentation site.
• Define and build the engineering practice within Upstream Studios–this is a new function and you’ll have real influence over how it takes shape.
• Guide architecture and technical decisions for the design system (components, tokens, patterns) and the docs site (performance, reliability, infrastructure, localization).
• Help others across the organization understand the strategic value of a well-maintained design system and documentation platform.
• Advocates for engineering quality: technical debt, accessibility standards, customer issues, security, and platform reliability.
• Collaborate with Product Design and Technical Writing to translate design and content needs into scalable technical solutions

What you'll bring

• Experience leading infrastructure, platform, or development teams, with a track record of building high-performing, values-aligned teams.
• Deep expertise in design systems–including design tokens, component architecture, accessibility standards, and contribution models.
• Excellent technical background, including professional experience with Git, docs-as-code, Hugo, accessibility and building and maintaining a design system.
• Experience of building and supporting multi-lingual sites and localization workflows at scale.
• Professional experience with JavaScript (Vue.js) and familiarity with Elasticsearch, Ruby/Go, AI tools, and continuous integration and continuous deployment (CI/CD) practices.
• Strong expertise in running and scaling large, consumer-grade platforms, with a focus on reliability, security, performance, and scalability.
• Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process.
• Passion for open source and developer tools, with a commitment to GitLab's values, inclusive culture, and high-performance expectations.

About the team

Upstream Studios is the full-stack experience organization for GitLab. We imagine it, we design it, we document it, we ship it—partnering across product, engineering, and marketing to deliver a continuous deployment of quality.

We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment. For more information on how we work, see the Upstream Studios section of the GitLab Handbook.

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

Location
Our Principal Technical Product Owner - DoiT Partner Platform will be an integral part of our Product Management team. This role is based remotely in the East US, Canada, the UK or Ireland. 

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 

The Opportunity
We’re hiring a Principal Technical Product Owner to drive the strategy, rapid delivery, and iteration for the DoiT Partner Platform. This platform enables cloud partners, resellers, and service providers to operate, monetize, and scale their cloud businesses across major hyperscalers. The platform is designed to help partners manage the operational and financial complexity of the cloud ecosystem, including cloud billing, margin management, customer lifecycle workflows, and partner-led service delivery.

This senior role is built for a leader with a "technical founder" mindset. You will act as the tip of the spear for all DoiT Partner Platform initiatives, serving as a leader amongst the product team to guide the broader product vision and set the standard for execution. You will bring relentless curiosity about how the cloud ecosystem works, a deep understanding of hyperscaler partner programs, and the confidence to test ideas directly with domain experts. The right leader will have held hands-on roles within the cloud ecosystem—such as cloud operations, cloud billing / FinOps, or partner operations—and will bring direct experience working with channel business models. In addition to hands-on execution, you will help direct strategy, align cross-functional teams, and mentor other technical product owners across the organization.

Responsibilities
Strategic Leadership & Delivery

• Act as the "tip of the spear" for the DoiT Partner Platform: Serve as the foremost product authority and a leader amongst peers, driving alignment across multiple product squads and setting the bar for product excellence.
• Own the overarching strategy, delivery, iteration, and learning velocity for major platform components.
• Partner with VP-level leadership to define strategic direction, translating it into clear problems to solve and shippable scope.
• Direct and mentor other Technical Product Owners to elevate product management practices, ensuring cohesive execution across the entire platform portfolio.
• Drive the feedback loop across teams: discover → define → build → release → measure → iterate, repeatedly.
• Review technical designs, reason about complex tradeoffs and constraints, and understand their impact on delivery timelines and system behavior, without being the primary implementer.

Deep Partner & Ecosystem Understanding

• Leverage your hands-on experience within the cloud ecosystem and understanding of channel, reseller, and partner business models.
• Develop deep empathy for the workflows of cloud partners: billing operations, margin management, reseller customer management, support operations, and service delivery.
• Use direct partner conversations and operational insight to identify friction, gaps, and strategic opportunities to improve how partners run their cloud businesses.

Cloud Billing & Partner Operations Expertise

• Bring strong understanding of cloud billing constructs, marketplace programs, margin models, and partner incentives across hyperscalers.
• Help shape complex platform capabilities that manage or abstract complexity in areas such as:
• Multi-cloud billing aggregation.
• Partner margin and discount models.
• Customer invoicing and revenue operations.
• Usage and cost transparency.
• Marketplace and private offer workflows.

Executive & Partner Validation

• Speak frequently with key partners (aiming for 3–5 conversations a week) and internal stakeholders to validate ideas, refine workflows, and test assumptions.
• Engage deeply with executive stakeholders at cloud partners, MSPs, SIs, and resellers to understand how they operate their cloud businesses.
• Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into strategic decisions, and explain "why" in a way that builds trust and consensus among peers and leadership.

Engineering-Embedded Technical Product Ownership

• Operate as a core leader working closely with Engineering leaders—present in daily collaboration, crisp in decision-making, and pragmatic about constraints.
• Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning—ensuring product intent survives implementation realities.
• Ensure components are cohesive across UX, APIs, data, and operational behavior, supporting partner-grade reliability and scalability.

Quality, Outcomes, Trust & Governance

• Define what “success” means for the platform portfolio with clear metrics (partner adoption, onboarding speed, billing accuracy, workflow completion, retention, reliability signals, partner-reported impact).
• Instrument learning: ensure releases are measurable and that insights reliably flow back into portfolio prioritization.
• Ensure platform capabilities account for the operational realities of the cloud partner ecosystem, including billing accuracy, financial reconciliation, and auditability.

Qualifications

• Extensive product leadership experience with 10+ years of direct experience in the cloud ecosystem, ideally across roles such as cloud operations, FinOps, partner operations, or building platforms that serve cloud customers or partners.
• Proven ability to act as a "player-coach"—driving high-level strategy, executing hands-on alongside engineering, and directing/mentoring other product owners as a respected peer leader.
• Strong experience with cloud billing systems, cost and usage data, or revenue operations within cloud environments.
• Deep understanding of the cloud partner ecosystem (resellers, MSPs, SIs, distributors, marketplaces). Candidates have likely worked within the partner ecosystem at some point in their careers.
• Experience building or operating platforms that serve channel or partner-driven business models.
• Strong product sense for turning messy operational problems into clear scope and shipped value with an excellent user experience.
• Technical fluency in cloud fundamentals and APIs across AWS, Google Cloud, and/or Azure.
• Coding experience is a plus—enough to collaborate effectively with engineers, reason about feasibility, and understand system behaviors.
• Must have demonstrated experience using AI to accelerate product specifications and development.
• Excellent communication skills: ability to engage deeply with partners, cloud experts, and internal stakeholders at the executive level.
• A bias for action and continuous improvement: you ship, measure, learn, and iterate.

How Success Will Be Measured

• You are universally recognized by your peers and leadership as the driving force and primary authority ("tip of the spear") for the Partner Platform's product direction.
• Platform capabilities ship frequently with clear partner value.
• Partner feedback loops are strong and visibly influence the overarching roadmap.
• Adoption across the partner ecosystem increases and partner operational workflows improve measurably.
• Billing accuracy, financial transparency, and operational scalability improve for partners using the platform.
• Engineering teams consistently have clarity on the next most valuable increment to build—and why.
• Other product owners on the team are effectively mentored, aligned, and elevated through your leadership.

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits include:

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands 

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We’re looking for a Senior Fullstack Engineer whose heart is in the backend — someone excited to architect and own the systems that power our AI-native platform, built on Elixir/Phoenix. You’ll join small, autonomous project teams (2–3 people) that take full ownership of a feature from scoping and prototyping through to rollout and user feedback, with the depth to contribute across the stack and the instinct to lead from the backend. AI fluency isn’t optional here — you will use agentic coding and AI agents as a core part of how you work and build.

WHY THIS ROLE EXISTS

As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership  — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture.

YOUR TEAM

You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end — owning scoping, architecture, build, and rollout — within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera’s AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment — full-stack capability is valued, but your heart is in the backend
• Practical experience building scalable backend systems top to bottom — ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don’t have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation — you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub — in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.

The Director, Commercial Strategy leads direct-to-consumer commercial strategy for Sony Music’s independent and distributed artist roster. Embedded day-to-day with The Orchard, this role ensures independent artists can access scalable, best-in-class D2C capabilities while remaining aligned with Sony Music's D2C standards, tools, and operating models.

What You’ll Do

• Own D2C commercial strategy for Orchard and independent artists across planning, execution, and optimization.
• Develop scalable D2C playbooks tailored to independent artist needs, budgets, and release cycles.
• Partner with Orchard teams to prioritize releases, assortments, pricing, and drop strategies.
• Ensure consistent application of Sony D2C tools, tech stack, and operational processes.
• Identify growth opportunities across evergreen merch, catalog, and always-on storefronts.
• Partner with data and forecasting teams to optimize inventory, conversion, and margin.
• Act as the primary D2C commercial liaison between The Orchard and Sony Music's D2C leadership.

Who You Are

• Demonstrable and extensive experience in D2C, e-commerce, or creator-led commerce environments.
• Strong understanding of independent artist ecosystems and scalable commercial models.
• Excellent commercial judgment paired with sensitivity to artist brand and fan experience.
• Comfortable operating in matrixed organizations with embedded and central responsibilities.
• Highly organized, data-driven, and execution-focused.
• Opportunity to shape D2C growth for Sony Music’s global independent roster.
• High-visibility role working closely with artists, managers, and label leadership.

Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy.
Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the role
We are looking for a Lead Product Manager to own and evolve Data Capture, the surface where every Typeform creator builds and every respondent answers.

Typeform's respondent experience is widely recognised as one of the best in the market. Behind that experience sits Data Capture: the form builder, the blocks library that powers every question and interaction, and the formats through which respondents engage. As Typeform expands into new use cases and AI powered experiences, this surface must evolve toward a composable foundation that supports conversational, page based, embedded, video, voice, and AI moderated interactions from a unified architecture.

In this role, you will lead the strategic direction of Data Capture across three teams. You will manage two Senior Product Managers, carry IC ownership on one of the teams, and drive the architectural evolution of the surface into the composable primitives.

About the team
Data Capture owns the creator and respondent experience end to end. It is made up of three teams:
•  Create & Design — the form builder, design system, brand kits, and multi language.
•  Blocks — the library of question types and the renderer that powers them across every experience.
•  Agentic forms — AI-native surfaces: voice agents, video interviews, and AI-moderated flows where the form thinks, asks follow-ups, and adapts in real time.

The group works closely with platform engineering, product design, Typeform AI, Integrations, and the teams driving end to end customer journeys. Its mission is to keep Typeform's surface market leading on craft while expanding into the components and formats our customers need.

Things you will do
•  Define and drive the strategy for Data Capture in line with the Group's vision and priorities, with a clear thesis and quarterly sequencing for 2026 and 2027
•  Lead the replatforming of the surface into composable primitives consumable across multiple surfaces in the organisation
• Define and ship the AI-native evolution of Data Capture: Smart Blocks, AI-moderated interviews, voice and video respondent flows, and the primitives that make them composable
•  Partner with Typeform AI to land agentic respondent experiences in production at the scale of 500 million responses a year, without fragmenting the core platform
•  Hold the quality bar across the group on specs, discovery, instrumentation, and craft
•  Partner closely with engineering on architectural decisions that shape the future of the platform
•  Work cross functionally with engineering, design, research, and product leadership to align on priorities and technical direction
•  Leverage AI tools to accelerate discovery, analysis, documentation, and decision making. 
•  Use data and customer insight to identify opportunities and measure product impact.
•  Show strong ownership and high agency: proactively identify risks, unblock teams, and push things forward
•  Work cross functionally with engineering, design, research, marketing, customer success, and sales to align on priorities and technical direction
•  Monitor competitors, market trends, and shifts in customer expectations to identify opportunities and guide strategy

What you already bring to the table
•  A strategic thinker with strong product instincts and high ownership
•  AI-native operator: builds with LLMs, agents, and tool-use frameworks daily and treats AI fluency as a core multiplier, not a buzzword. Has a point of view on what AI-first respondent experiences should feel like
•  Real depth in agentic systems, LLM orchestration, tool use, or action execution frameworks, with a view on how they ship in production at scale
•  Architectural conviction: Familiarity with platform architecture, sufficient to partner on renderer refactoring and modular and composable architecture decisions
•  Technical depth: comfort engaging with engineers on architecture, system design, and the underlying primitives (APIs, webhooks, rendered components, data contracts, event flows) that connect blocks to downstream consumers, not only the abstraction layer
•  Comfort with technical trade off discussions around performance, scalability, reliability, observability, and architectural direction
•  Experience managing Product Managers while owning IC work on one team
•  Experience defining mid and long term product strategy across multiple teams in fast moving environments
•  Strong product sense and the ability to identify what creates a great creator and respondent experience
•  Customer first mindset with strong discovery and validation skills; pairs early customer signal with data to test ideas fast
•  A data driven approach to decision making and prioritisation; able to set the measurement model for a surface without leaning on a data analyst for every question
•  Strong storytelling and strategic framing: able to bring alignment and influence group and leadership level decisions through clarity and narrative
•  High agency: doesn't wait to be told, thrives in moving things forward proactively
•  Passionate about mentoring others and contributing to a strong product culture
•  Always learning, always improving, and invested in building great things with others

Nice to have
•  Familiarity with AI enhanced product experiences such as AI moderated workflows, smart logic, or agentic flows
•  Experience leading platform or infrastructure level product initiatives
•  Experience driving architectural or platform refactoring initiatives, especially transitions from product facing to platform composable structures
•  Experience with developer facing surfaces such as webhooks, APIs, SDKs, and event systems

This is where you will make an impact
You will own the surface that every Typeform creator builds on and every respondent answers through.

By evolving Data Capture into a composable foundation, you will unlock faster innovation across the platform and shape how hundreds of millions of people interact with forms every year.

Chief Information Security Officer (CISO), Belfast

The Role
We are seeking a strategic and hands-on Chief Information Security Officer (CISO) to lead and evolve the security function at TRG Screen, a global provider of market data and technology cost management solutions serving leading financial institutions including banks, asset managers, and hedge funds. The role spans both internal security — corporate IT policies, controls, and a remote workforce across the US, EU, UK, and India — and external security, protecting the products and solutions we deliver to clients. Reporting to the CTO and working closely with the Head of IT/Operations, the CISO will operate across a complex infrastructure encompassing AWS, Azure, and on-premises data centres.

This is a high-impact role with genuine ownership — you will set the security agenda for a growing global business, with the mandate and senior leadership backing to build the function on your own terms. The timing is significant: we are actively embedding AI into our products and operations, making this an opportunity to define how we approach AI security from the ground up, in a sector where data protection and client trust are paramount.

Key Responsibilities

• Security Strategy & Governance

• Define and execute the company’s information security strategy, roadmap, policies, and standards
• Define and enforce internal IT security policies, covering endpoint security, access management, and controls suited to a remote, globally distributed workforce
• Maintain and build upon our existing certifications (ISO 27001, SOC 2 Type II), and drive expansion of SOC 2 coverage across our full product portfolio
• Ensure compliance with GDPR and applicable data protection regulations across our EU and global client base, and support the organisation’s future pathway toward ISO 42001 for AI governance

• Application & Product Security

• Partner with Engineering to embed security into the software development lifecycle (SDLC)
• Provide guidance on secure architecture and development planning
• Oversee vulnerability management and remediation efforts
• Own the external security posture of our client-facing products and solutions, ensuring security is embedded from design through to deployment

• AI Security

• Define and implement a framework for securing AI-powered features and capabilities embedded within our products, including the security of AI agents, models, and associated infrastructure
• Govern the safe and compliant use of AI tools internally, including copilots and AI agents used by our workforce

• Client & Operational Security

• Oversee security aspects of client support operations, ensuring strong controls and responsiveness
• Act as a key escalation point for security-related client matters
• Support customer audits, security questionnaires, and due diligence processes

• Risk Management & Incident Response

• Identify, assess, and manage security risks across the business
• Lead incident response planning and execution
• Continuously improve detection and response capabilities

• Leadership & Collaboration

• Act as a trusted advisor to the CTO and broader executive leadership on security risks, strategy, and emerging threats
• Work in close partnership with the Head of IT/Operations, and collaborate across Product, Engineering, and Client teams globally to align security priorities with business objectives
• Build and scale security awareness across the organisation, including a remote and globally distributed workforce
• Grow and shape the security function over time, with the opportunity to build out direct reports as the function matures

What We’re Looking For

• 7–12 years of experience in information security, with demonstrated senior leadership (e.g., CISO, Director, or Head of Security) within a SaaS or technology environment
• Strong understanding of application security and secure software development
• Strong working knowledge of compliance frameworks including ISO 27001 and SOC 2, with hands-on experience managing or achieving these certifications; solid understanding of GDPR compliance across multiple jurisdictions
• Strong communication skills with the ability to engage both technical and non-technical stakeholders
• Experience securing complex, multi-cloud environments (AWS and Azure) alongside on-premises data centre infrastructure
• Awareness of AI security practices and risks, including securing AI-powered product features and governing internal AI tool usage
• Based in or with easy access to the US East Coast or UK/Ireland, comfortable leading remote teams across the US, EU, UK, and India, and willing to travel periodically to our offices in New York, London, or Belfast

What this job can offer you

As a GP Compliance Expert, you are the owner of payroll compliance for your country or region. You hold deep expertise in local legislation and apply it across everything from audits to product design. You’ll translate complex rules into scalable processes, systems, and documentation — ensuring Remote continuously meets (and anticipates) regulatory standards.

You will work closely with Product, Engineering, Design, Operations, and Legal to embed compliance into the foundations of our global payroll platform. You’ll lead investigations and incident resolution, drive continuous improvement, and mentor teams to raise compliance capability across the organisation.

This role blends subject-matter expertise with strategic systems thinking — making you a key architect in how Remote builds compliant, automated global payroll at scale.

What you bring

• Deep expertise in payroll, employment compliance for your country/region — and a strong understanding of how legislation translates into payroll calculations and system logic.
• Proven record leading audits, regulatory reviews, or country-level compliance programs.
• Experience partnering with technical teams to convert statutory rules into product requirements.
• Strong communicator capable of influencing stakeholders across Product, Engineering, Legal, Support, and Senior Leadership.
• Confident investigator with sound judgment in high-risk or sensitive scenarios.
• Mentor and coach who grows the capability of the team around you.
• Systems thinker who designs frameworks, documentation, processes, and controls that scale.
• Comfortable operating in an async, fast-changing, fully remote environment.

Key Responsibilities 

Own compliance for your country or region

• Be the accountable expert for payroll compliance in your jurisdiction(s).
• Ensure local requirements are correctly interpreted, documented, and implemented across processes, systems, and customer workflows.

Embed legislation into Remote’s product

• Translate statutory rules, payroll logic, tax calculations, thresholds, and edge cases into structured requirements for Product and Engineering.
• Partner with Product Design to create user experiences that are compliant, intuitive, and auditable.
• Review specifications, test logic, and validate product outputs to ensure legislative accuracy.

Lead complex audits and compliance programs

• Own and deliver multi-country or high-risk audits from planning through remediation.
• Establish audit frameworks that scale across new and existing jurisdictions.
• Identify root causes and drive systemic improvements.

Lead investigations and incident resolution

• Serve as the primary escalation point for compliance issues in your region, supporting Incident Managers to resolve incidents swiftly and effectively.
• Partner cross-functionally to resolve incidents quickly and implement permanent corrective and preventative actions.

Design and implement processes and governance frameworks

• Create clear, scalable, and documented processes for payroll compliance operations.
• Develop controls, SOPs, and monitoring mechanisms to ensure ongoing adherence.
• Align global policies with regional requirements and drive consistency across markets.

Enablement, documentation, and knowledge sharing

• Build training materials, guidance, and rules documentation to upskill internal teams.
• Deliver quarterly enablement, lead learning sessions, and coach Specialists and Leads.
• Maintain high-quality documentation for compliance rules, workflows, and system logic.

Cross-functional influence & stakeholder partnership

• Partner with Product, Engineering, Legal, Support, and Customer Success to ensure compliance is embedded into decision-making.
• Achieve ≥90% stakeholder satisfaction by being responsive, proactive, and solutions-oriented.
• Support go-to-market, customer escalations and expansion initiatives with clear compliance guidance.

Practicals

• You'll report to: Manager, Payroll Strategy and Compliance
• Team: Payroll Strategy and Compliance
• Location: For this position we welcome everyone to apply, but we will prioritize applications from the following locations as we encourage our teams to diversify; United Kingdom, Ireland
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Technical Assessment
3. Interview with future manager
4. Interview with Director
5. Bar Raiser Interview
6. Prior employment verification check 

At Redpin we simplify life's most important payments. Buying a new property overseas can be a stressful time, especially when it comes to moving your money. Through our Currencies Direct and TorFX brands we've been helping people do just that for over 25 years. With recent investment we're now on a mission to build a new range of digital products and services that will make moving money Internationally for Real Estate purchases even easier. We’re on a mission to become the solution for Real Estate & B2B payments everywhere. To do this, we are transitioning our business from a horizontal FX platform to a verticalized, embedded software company, as we look to the future and Redpin 2.0

Due to business growth we’re now seeking a field based Business Development Manager to cover our legal business in and around Dublin.  This role supports our highly successful and well established Currencies Direct business. 

This role is remote in Dublin- we’re ideally seeking candidates based in the city or in the surrounding counties 

What You'll Do

• Identifying & onboarding new partnership opportunities via proactive sales methods, with the aim of acquiring new clients and generating profit from their currency transfers.
• Outbound sales to new partnership opportunities and inactive partners already in CRM who have referred clients to Currencies Direct in the past.
• Online & in-person meetings and presentations to win new business or to train and onboard new partners.
• Manage partners once signed up and ensure information flows quickly between partner, client, & dealing teams to ensure high levels of retention.
• The focus of the role will be within one of our key verticals: Property, Migration, Wealth Management.
• Working within our London based Partnerships team you will need to be able to focus on the growth of your own network of partners while also being a positive contributor to the overall team.

What You’ll Need

• Experience in field based outbound sales and lead generation within the legal sector 
• An existing network within the legal sector- specifically probate specialists would be ideal 
• Experience in negotiation and closing of partnership driven deals.
• To be:
• Resourceful, articulate and action orientated.
• Hard working with good attention to detail and an entrepreneurial approach to sales.

Bonus Points

• Experience selling into the Irish / EU legal sector or associated sectors such as international mortgages/wealth management or banking 
• Experience selling cross-border payments services of FX would be high desirable 
• Experience selling face-to-face or presenting to potential customers.

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for cross border currency exchange and payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.

Currencies Direct is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 

We are looking for a Senior Data Scientist to join our Product Engineering team in Helsinki, Dublin, or the UK. 

If you are a naturally curious problem-solver who thrives on discovering innovative ways to extract value from data, this is your chance to lead high-impact initiatives for a fast-growing SaaS powerhouse

In this role, you will… 

• Solving the "Unsolvable": Dive into massive datasets to architect and implement robust, data-driven solutions that solve high-stakes business problems for our customers.
• Product-Embedded Innovation: Focus on building and embedding insights directly into the Supermetrics product suite, moving beyond theory into live, functional features.
• The Scale-Up Mindset: Thrive in a high-velocity environment where you are expected to pioneer new solutions, remain creative, and lead with a relentless "product-first" focus.
• Fueling the AI Engine: Leverage Supermetrics’ one-of-a-kind dataset to build market-differentiated products. If data is the fuel for AI, you’ll be sitting on one of the best "refineries" in the industry.
• High-Leverage Impact: Utilize our unique data access to create solutions that simply can’t be built anywhere else, giving you the platform to make a massive, visible impact on the industry

Your day-to-day work and responsibilities include…

• Identify opportunities to use advanced data science techniques leveraging a wide variety of MarTech data to solve problems and provide new insights to our customers.
• Develop and deploy AI/ML solutions, creating new products and value for our customers.
• Transform data science prototypes into scalable, production-ready, data-driven products in partnership with our infrastructure/engineering teams.
• Embed AI-powered features and automation tools in data science applications to improve velocity, product quality and customer experience as needed.
• Communicate the impact and outcomes of data science initiatives to stakeholders across the organization.
• Stay current with AI/ML advancements and continually seek for new ideas or paradigms that will add value to our customers.

This position is for you if you have…

• An advanced degree in a STEM-related field such as Mathematics, Statistics, Computer Science, Engineering, or a related field, or equivalent work experience.
• 5+ years of experience in Data Science or ML and AI with real-world data within a product development and/or research setting.
• Expertise in statistical analysis, ML modeling, experimentation, and optimization.
• Hands-on experience working with LLMs and AI agents, including fine-tuning, retrieval-augmented generation (RAG), and deploying models to enhance product features.
• A proactive mindset, a continual pursuit of new ideas and data sources, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.
• Proficiency in Python and SQL, with experience using libraries such as Pandas, NumPy, Scikit-learn, and deep learning frameworks like TensorFlow or PyTorch.
• Experience working with Agent frameworks (e.g. google adk, LangChain) and AI agent evaluation
• Expert-level experience building and deploying data science products using cloud platforms (e.g., AWS, GCP) and MLOps tools.
• Strong project management experience and ability to work with a diverse, distributed, and talented group of people.
• Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders.
• Domain knowledge of large-scale, data-driven SaaS applications.

We also appreciate…

• Experience with MarTech advanced analytics techniques and use cases (i.e. propensity modelling, Media Mix Modelling, personalisation/customer segmentation).
• Experience in the end-to-end development of AI products.

Benefits we offer…

• Competitive compensation package, including equity
• Great work equipment, and home office allowance for those working in our fully remote locations
• Health care benefit and leisure time insurance
• Annual 1000 euros of personal learning budget
• Sports and wellbeing allowance

Benefits may vary depending on location. 

Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.

Get to know our Engineering team at supermetrics.com/careers/engineering

#LI-Remote / #LI-Hybrid #LI-FullTime

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Fintech team is responsible for a diverse range of products and workstreams, all with the united goal of helping restaurants make dealing with money easier. From quickly and seamlessly taking guest payments to extending credit via our lending products, the Fintech product team tackles some of the biggest and most impactful initiatives within Toast.

We are looking for a Senior Product Manager for Toast Checking - the checking account, jars/savings, and debit card quickly becoming the financial center for Toast customers. This is an end-to-end product owner role: strategy, roadmap, execution, partner management (external banks / vendors / card processors), legal & compliance coordination, and go-to-market for core banking features. You will move fast, own decisions, and be accountable for measurable business outcomes.

A day in the life (Responsibilities) 

• Work closely with cross functional teams and various product domains across Toast to define strategy, support ideation, design, development, feature launch, and support of Toast Checking.
• Create & present business cases and business models for new product investments, and measure/quantify success of product launches.
• Write technical and non-technical user stories, define requirements, workflows, and wireframes in collaboration with Engineering, Design, Data Science and other teams.
• Manage the backlog of an established engineering team, define roadmap requirements, and facilitate agile ceremonies.
• Communicate and collaborate with technical counterparts, and business-oriented stakeholders, to consistently set and meet expectations.
• Partner with GTM and Product Marketing to package TCA, measure conversion funnels, drive adoption and retention, and define pricing/promotions/attach strategies.
• Define success metrics, build dashboards, run experiments, and iterate. Own adoption, activation accounts, average balance growth, deposit velocity, card attach/usage, NPS, and operational SLAs.
• Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build.

What you'll need to thrive (Requirements)

• Minimum of 6+ years of experience in a product management role
• A passion for innovating in financial services and desire to transform the restaurant & hospitality industry
• Experience managing products from their early inception to measurable post-launch success.
• A track record of strong execution, delivering speed and quality.
• Customer obsession - experience running VoC, customer interviews, and translating insights into prioritized roadmaps that move KPIs.
• Versatile skillet - you’re able to design innovative financial products, experiment to deliver top notch personalized user experiences, drive consistent risk model improvements, build efficient risk and operations tooling, and develop a scalable platform.
• Strong written & verbal communication skills, with an emphasis on communicating roadmaps, tradeoffs and technical solutions to a variety of stakeholders.
• High EQ and is skilled at building and maintaining relationships with engineering & design teams.
• Excited to roll up your sleeves and understand the inner workings of web applications & developer services. 
• Comfortable with data analysis tools like SQL and Excel.

Bonus skills to have

• Direct experience in banking, embedded finance, or lending.
• Experience working fast-growing teams & hyper-growth companies.
• Experience incorporating legal & regulatory oversight into consumer or business products.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Functions and Scope

This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows — built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job.

Commercial Operations & Optimisation

• Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels — doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them.
• Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves.
• Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow.
• Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual.
• Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending.

Workflow Architecture & Process Design

• Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable.
• Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric.
• Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required.
• Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively.

Agent & Automation Development

This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact — designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a professional context, this role is not the right fit.

• Lead the identification and scoping of agentic automation opportunities across commercial operations,this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.
• Own and build the full development lifecycle for commercial agents across all commercial operations,from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration. You are the builder, not the commissioner.
• Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent you deploy, and holding yourself accountable for what those agents produce at scale.
• Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals,treating deployed agents as live products that require ongoing maintenance and improvement, not finished projects.

Quality Assurance & Reporting

• Establish and oversee QA processes across all commercial operations workflows,including designing the human review layer that sits alongside AI-driven outputs, defining what requires sign-off before going live, and building the infrastructure to enforce that consistently.
• Generate, analyse, and present operational KPI reports to senior stakeholders,using AI-assisted tooling to automate data aggregation and surface anomalies, so that your contribution at the reporting layer is insight and recommendation, not manual data pulling.
• Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis, including honest assessment of where agents are underperforming, where outputs are drifting from expected standards, and what needs to be rebuilt or retired.
• Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others,not as a power user, but as the person who understands these platforms deeply enough to build production-grade commercial workflows on top of them, apply rigorous judgement to their outputs, and teach others how to work alongside them effectively.

Key requirements

Essential experience

• Experience in a commercial operations, revenue operations, or similar ops role,ideally within a digital media, affiliate, or multi-vertical online business
• You have built AI agents and shipped them into a live production environment,this is the baseline requirement for this role, not an aspiration. If your experience is limited to using AI tools, prompting chatbots, or working within workflows someone else built, this role is likely beyond where you are right now
• Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. You were the builder, not the person who commissioned or reviewed someone else's build
• Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working
• Track record of designing and documenting operational processes, playbooks, and performance standards,including documentation of how agents are expected to behave, what good output looks like, and where human review is required
• Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results
• Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually

You must be able to demonstrate, with specific examples, that you have:

• Built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it
• Designed prompt architecture for a production workflow,not just written prompts, but structured them as part of a repeatable, scalable agent build
• Integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow
• Identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome
• Established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently
• Iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project

Candidates who cannot provide concrete, specific examples of building and shipping agents will not progress past the application stage. This is a builder role,your portfolio of what you have built is the application.

Skills & capabilities

• Prompt architecture and agent design,able to structure AI instructions for production-grade reliability, not just one-off outputs
• Tool integration,comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build
• Commercial judgement,able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment
• Process design instinct,able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution
• Strong cross-functional communication,able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure
• Rigorous approach to AI output review ,understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly

Behaviours we're looking for

• You have shipped things,your instinct is to build a working version, get it into a live environment, and improve it from there rather than designing indefinitely
• You treat deployed agents as live products,you monitor them, catch when they drift, and fix them without being asked
• You apply structured commercial thinking to what you build,you're not building for technical elegance, you're building to remove manual effort and drive revenue outcomes
• You are honest about the limits of what you've built,you know where your agents are reliable and where they require human oversight, and you design for that honestly
• You communicate proactively with commercial leadership when something isn't working, an underperforming agent that goes unreported is a failure of this role, not just a technical issue

Nice to have

• Experience in the affiliate, igaming, media, or performance marketing sectors
• Familiarity with competitor analysis methodologies in a commercial context
• Exposure to product or engineering teams in a workflow or tooling capacity
• Experience building agents that operate across multiple tools or platforms simultaneously,multi-step, multi-tool agent architectures rather than single-task automations

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling

Perks & Benefits

• Comprehensive private Healthcare Insurance
• Flexible work environment and home office available
• Home office allowance
• Gym & Leisure Allowance
• All the hardware and software you need to be successful
• Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
• Access to courses for Personal and Career Development
• Company Paid Volunteer Day

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. 
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

As a Principal Infrastructure Engineer at Toast, you will lead the architecture of systems powering our developer ecosystem and software delivery lifecycle. This includes platforms for code collaboration, service discovery, developer workflows, and CI/CD at scale.

Toast has invested in a strong foundation of developer tooling and platforms. This role is an opportunity to build on that foundation by connecting these systems into a unified intuitive experience, helping engineers move from ideation to production with speed, clarity, and confidence.

AI-assisted development is deeply embedded in engineering at Toast. The majority of engineers use AI tools daily, and AI agents participate in code review, build triage, and operational workflows. This is your chance to pioneer how the internal developer platform evolves, creating a future that empowers both humans and agents to achieve more.

A day in the life (Responsibilities) 

• Define and drive the architecture of the end-to-end developer experience across source control (GHES), developer portal (Backstage), engineering metadata, and CI/CD systems
• Optimize developer tooling to enhance engineering productivity, accelerate feedback loops, and reduce friction across the SDLC
• Own and evolve the developer portal as the central system for service discovery, documentation, and workflow orchestration
• Design and improve CI/CD pipelines, build systems, and release processes to increase reliability, security, and delivery speed
• Architect the developer platform to serve both human developers and AI agents, maintaining the guardrails that make both safe to operate at scale
• Use telemetry and insights to identify opportunities and drive measurable improvements in developer experience
• Partner with cross-functional stakeholders to advance shift-left methodologies and promote a fail-fast engineering culture
• Lead through influence across multiple teams and reporting lines, setting technical direction and driving adoption of platform standards without direct authority

What you'll need to thrive (Requirements)

• Deep software engineering background building platforms, developer tooling, or software delivery systems
• Experience working with systems like GitHub Enterprise, Backstage or similar portals, and CI/CD platforms at scale
• Strong understanding of developer workflows across the software development lifecycle
• Ability to design systems that span multiple tools, teams, and stages of the SDLC
• Track record of improving developer productivity or engineering effectiveness at scale
• Demonstrated ability to drive adoption of technical standards across teams you do not control
• Experience building or scaling internal developer platforms
• Familiarity with artifact management, dependency management, and release governance
• Experience using data and telemetry to improve engineering workflows
• Strong working expereince in languages such as Go, Java, and Kotlin

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Senior Developer Advocacy Engineer | Sweden | Remote

This is a fully remote position and we're considering candidates in Sweden.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Senior Developer Advocacy Engineer | Germany | Remote

This is a fully remote position and we're considering candidates in Germany.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Germany, the base compensation range for this role is EUR 97,034 - EUR 116,441. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Senior Developer Advocacy Engineer | UK | Remote

This is a fully remote position and we're considering candidates in UK.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Senior Developer Advocacy Engineer | Spain | Remote

This is a fully remote position and we're considering candidates in Spain.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Senior Developer Advocacy Engineer | Ireland | Remote

This is a fully remote position and we're considering candidates in Ireland.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Ireland, the base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Job purpose

As the Associate Director, External Manufacturing and Supply Operations, you are responsible for operational execution of external manufacturing and related supply activities. This is a central role within Manufacturing and External Supply Operations and requires the ability to manage multiple activities simultaneously, balancing priorities, with a strong sense of urgency, ability to work with ambiguity, and attention to detail. This position will have you collaborating with other members of Supply Chain, Quality Assurance, Regulatory Affairs, and Finance to execute and deliver endorsed global supply plans for both clinical and commercial supply. You will report to the Director, External Supply Operations.

Responsibilities

• Build and maintain productive relationships with external contract manufacturers (CMO’s), and internal global colleagues
• Ensure timely and effective execution of all manufacturing and supply plans at assigned CMO’s
• Develop and manage production processes to support operational execution, including BOM’s, specifications, CAPA’s, change controls, master data, and artwork. Familiarity with ERP/MRP systems
• Support logistics, transportation and import/export activities
• Act as the manufacturing and supply chain representative for review and approval of documentation including but not limited to batch records, BOM’s, specifications, artwork, and change control
• Support product qualification activities including but not limited to reviewing/approving IQ/OQ/PQs, stability, and validation protocols; review and approve change controls
• Play a key role in supporting selection and onboarding of new CMOs, technical transfers, operationalizing product supply and site establishment
• Manage and track inventory, perform inventory reconciliations, and support month end close process.
• Issue purchase orders, and track invoices and budgets
• Maintain production schedules and track batch record execution in coordination with Quality
• Oversee, review, and approve as necessary revisions to manufacturing cGMP and non GMP documentation
• Proven risk management acumen with a continuous improvement mindset
• Where necessary, provide input to the manufacturer and QA for evaluation of process deviations and assist in the investigation of product complaints
• Build and maintain strong partnerships and provide effective communication with all internal and external stakeholders and lead discussion, problem solving efforts and process improvements to ensure that performance targets are met or exceeded
• Responsible for scheduling and maintaining routine business operations meetings with CMO’s
• Support Regulatory submissions and CMC as required

Qualifications

Education & Core Experience

• BS/BA Degree in Life Science, Biology, or Engineering discipline from an accredited college or university, or equivalent desired
• 10+ years’ combined experience in manufacturing, outsourced operations, technical operations and/or supply chain in regulated healthcare industry, preferably within biotech/pharmaceutical industry
• cGMP career experience embedded in a pharmaceutical manufacturing plant is essential – with first-hand knowledge of plant operations, with the insight to assess performance, and diagnose issues directly at the source
• Technical background with knowledge of engineering and pharmaceutical manufacturing processes in small molecules is required, and experience in DS/API production is desirable
• Excellent problem-solving skills, with the ability to address complex challenges under time pressure
• Demonstrated expertise in risk management, with a history of successfully implementing risk mitigation strategies
• Hands-on investigations/RCA (OOS/OOT/deviations) and continuous improvement at external sites
• The ability to function in a fast-paced, high-growth, entrepreneurial environment
• Ability to travel domestically and internationally ~25%
• Position requires a strong working knowledge and understanding of both regional and international regulations by government agencies affecting the pharmaceutical industry (CFR's, EU GMP, ICH)
• Timely and effective communication across multiple audiences, both verbally and in writing
  
  #LI-HYBRID