Location: United States; Canada; United Kingdom
📍 Location: Montreal, QC, Canada
🏢 Work Arrangement: On-site
💼 Employment Type: Full-Time
We are seeking an experienced Satellite Platform RF/EMC Systems Engineer to support the development, integration, and validation of complex aerospace and satellite systems. The ideal candidate will have a strong electrical engineering background with expertise in RF systems, electromagnetic compatibility (EMC), and system-level testing.
Key Responsibilities
Support EMC and RF engineering activities for advanced aerospace and satellite systems.
Plan, coordinate, and execute large-scale system-level EMC testing.
Perform unit-level EMC testing in accordance with international standards and established test methodologies.
Analyze test results and provide recommendations to ensure compliance with EMC requirements.
Collaborate with multidisciplinary engineering teams on RF, digital, and analog electronic systems.
Support system integration, verification, and validation activities.
Prepare technical documentation, test reports, and engineering assessments.
Required Qualifications
Bachelor’s degree in Electrical Engineering or Aerospace/Aeronautical Engineering.
5+ years of relevant engineering experience.
Strong background in RF engineering and/or Electromagnetic Compatibility (EMC).
Significant experience performing large-scale system-level EMC testing.
Experience with unit-level EMC testing using international standards (or equivalent methods and testing levels).
Systems engineering experience involving RF, digital, and analog electronic unit designs and wiring harnesses.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and technical documentation abilities.
Important Screening Criteria
Candidates must have a degree in Electrical Engineering or Aerospace/Aeronautical Engineering.
Candidates with a Mechanical Engineering degree are not a fit for this role.
Experience should be focused on electrical/RF engineering, not mechanical aspects of RF design.
Preferred Qualifications
Experience within the aerospace, defense, satellite, or telecommunications industries.
Familiarity with satellite systems, avionics, or other mission-critical electronic systems.
Interested candidates are encouraged to apply with their updated resume. Qualified applicants will have the opportunity to discuss the role, compensation, and next steps with our hiring team.
United States; Canada; United Kingdom; [Fastwater Staffing] Satellite Platform RF/EMC Systems Engineer | Montreal, Canada (Full Relocation Package)
Location: United States; Canada; United Kingdom
Role:
Telecommunications Payload System Engineer
📍
Location:
Montreal, QC, Canada
🏢
Work Arrangement:
On-site
💼
Employment Type:
Full-Time
We are seeking a Telecommunications Payload System Engineer to support the development, integration, and testing of satellite communication systems. This is an excellent opportunity for professionals with experience in space systems, satellite communications, or related telecommunications disciplines who are looking to contribute to innovative aerospace projects.
Responsibilities
Support the design, integration, and testing of satellite communication systems and subsystems.
Participate in the verification and validation of satellite hardware and communication architectures.
Assist with digital signal processing (DSP) and RF system analysis.
Contribute to technical documentation, test reports, and engineering reviews.
Collaborate with cross-functional engineering teams to ensure project objectives are met.
Support troubleshooting and performance analysis of satellite communication systems.
Qualifications
Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field.
2–5 years of experience in space systems, satellite communications, or a related discipline.
Foundational knowledge of digital signal processing (DSP), RF systems, and telecommunications architectures.
Experience testing satellite subsystems.
Strong analytical and problem-solving skills with excellent attention to detail.
Ability to work effectively in a collaborative team environment.
Strong written and verbal communication skills, including technical documentation experience.
Preferred Qualifications
Experience working within aerospace, defense, or satellite communications environments.
Familiarity with satellite payloads, communication links, or ground segment systems.
If you are passionate about space technology and satellite communications, we encourage you to apply.
United States; Canada; United Kingdom; [Fastwater Staffing] Telecommunications Payload System Engineer | Montreal, Canada (Full Relocation Package)
Location: UK, London; Global (Remote)
Workplace: Remote
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Head of MENA to lead Humanoid's commercial expansion across the Middle East and North Africa, with an initial focus on Saudi Arabia and the GCC. This role is responsible for establishing our regional presence, developing strategic customer relationships, and driving the commercial adoption of humanoid robotics across enterprise, industrial, logistics, manufacturing, government, and public sector markets.
You will own the regional go-to-market strategy, build and execute the sales pipeline, develop strategic partnerships, and represent Humanoid with senior executives, sovereign entities, and industry leaders. Working closely with the executive team, you'll play a pivotal role in making MENA one of Humanoid's most important growth markets.
WHAT YOU'LL DO
- Own and execute Humanoid's commercial strategy across MENA, with an initial focus on Saudi Arabia and the GCC.
- Build and manage the regional sales pipeline from strategic introductions through to contract execution.
- Develop relationships with C-suite executives, government stakeholders, sovereign wealth funds, ministries, and major enterprise customers.
- Secure commercial agreements, pilot programmes, strategic partnerships, and pre-orders for Humanoid's robotics platform.
- Identify high-value market opportunities across manufacturing, logistics, automotive, energy, healthcare, defence, and smart cities.
- Develop compelling commercial business cases and ROI models that accelerate customer adoption.
- Represent Humanoid at executive meetings, industry events, and strategic customer engagements across the region.
- Work closely with Product, Engineering, and Leadership to ensure customer feedback shapes product development and go-to-market strategy.
- Own regional revenue targets, forecasting, and commercial performance.
WHAT WE'RE LOOKING FOR
- 10+ years of commercial leadership experience in robotics, automation, industrial technology, AI, or advanced manufacturing.
- Proven experience building and scaling enterprise sales across the Middle East, particularly Saudi Arabia and the GCC.
- Demonstrated success selling complex technical solutions to enterprise, government, or sovereign customers.
- Established network across key regional organisations, including major enterprises, government entities, and strategic partners.
- Experience leading strategic partnerships and managing complex, multi-stakeholder sales cycles.
- Strong commercial acumen with experience owning revenue targets, forecasting, and business planning.
- Exceptional executive presence with outstanding communication, negotiation, and relationship-building skills.
- Ability to operate independently in a fast-moving, early-stage environment and build new markets from scratch.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.
You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly.
These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy.
Key responsibilities
Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows
Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely
Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting
Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error
Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments
Minimum qualifications
A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Preferred qualifications
8+ years of industry software engineering experience
Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale
Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency
Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
This role is not a typical infrastructure operations role. As Manager, Engineering, Git & Gitaly Operations, you'll lead the team responsible for the infrastructure layer underneath Git at GitLab: the open source Git project itself, Gitaly, GitLab's Git storage and remote procedure call layer, and the services that make Git perform at enterprise scale.
Git and Gitaly are core to GitLab. If they go sideways in production, they affect everything downstream, including continuous integration, code review, and deployments. This role starts with genuine subject matter expertise in Git technologies and extends to reliable operation across GitLab's deployment models: Self-Managed, GitLab Dedicated, and SaaS.
You'll build and develop a team with deep platform expertise and strong operational judgment. You'll partner across engineering groups to shape how Git and Gitaly operations evolve as the platform grows.
What you’ll do
Build and lead a team with deep platform expertise in Git and Gitaly, hiring and developing engineers who can operate this infrastructure layer with strong operational judgment.
Own production reliability for Git and Gitaly across GitLab's full deployment footprint.
Drive incident management, root cause investigation, and postmortems with the technical depth to distinguish a Git internals problem from a generic infrastructure problem.
Design and operate Git and Gitaly service models that work across Self-Managed, GitLab Dedicated, and SaaS, with a clear view of which elements are common and which must differ between them.
Maintain cloud-agnostic architecture and tooling decisions, avoiding designs that assume a single hyperscaler's primitives.
Partner with the teams that own each deployment model so operational practices stay coherent rather than fragmenting into separate playbooks.
Apply distributed systems fundamentals, including consistency, replication, and failure domains, to Gitaly's storage and replication model.
Own elastic storage and compute strategy for Git repository data, including capacity planning, autoscaling, and consumption-based provisioning for GitLab's largest self-managed and SaaS customers.
What you’ll bring
Familiarity with GitLab's product and deployment models, and how Git and Gitaly support repository operations across self-managed, dedicated, and SaaS environments.
Hands-on subject matter expertise in Git internals, including how the protocol, object model, and storage layer behave under load and at scale, not only familiarity with Git usage.
Strong distributed systems fundamentals, including consistency, replication, failure handling, and horizontal scalability.
Experience running production infrastructure across multiple deployment models, such as self-managed, dedicated or single-tenant, and multi-tenant SaaS, or a credible path from adjacent experience to it.
Experience with elastic storage and compute, and consumption-based system design for variable, unpredictable load.
People management experience, ideally leading site reliability engineering-style or platform operations teams.
Direct experience with Gitaly, libgit2, JGit, or another Git implementation's internals is advantageous.
Experience operating cloud-agnostic infrastructure across multiple hyperscalers or on-premises environments is advantageous.
About the team
The Git & Gitaly Operations team owns the Git infrastructure layer that powers GitLab and works at the intersection of Git internals, distributed systems, storage, and production operations.
We expect the Git & Gitaly Operations team to go deep on one of GitLab's most critical platforms. The work requires technical depth, strong operational discipline, and the ability to solve complex reliability and scaling challenges in Git and Gitaly.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Poland; Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Payward Services is an enterprise infrastructure platform that enables companies to seamlessly integrate trading, payments, funding, and digital asset services through a single unified system. It provides coordinated liquidity, custody, compliance, risk management, and settlement capabilities, reducing operational complexity for fintechs, banks, brokerages, and payment providers.
As a Senior Software Engineer in Payward Services you'll build and scale the systems that make this platform work under the hood, from real-time coordination across services to the infrastructure enterprise partners depend on to move money and assets safely, at scale, every day. We’re looking for builders who thrive in ambiguity, move quickly with ownership, and care deeply about creating robust solutions.
THE OPPORTUNITY
- Design and implement robust Rust services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact.
- Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security.
- Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions.
- Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.
WHAT YOU BRING
- 5+ years of software engineering experience
- Proficient in writing network services or asynchronous code in Rust
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
- Provide mentorship to other engineers while contributing to defining the technical culture
NICE TO HAVES
- Experience building B2B focused products, ideally in the fintech or crypto space
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Lisbon, Portugal
Joom Group is an international tech-centric group of e-commerce companies founded in 2016 in Latvia. We are here to transform the largest industry in the world, global trade, making it more transparent, efficient, and technology-driven.
Today, Joom Group brings together the following businesses: Joom, a platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; JoomPulse, data platform that provides analytics and recommendations for marketplace sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group’s offices are located in China, Brazil, Portugal, Latvia, and Germany, with headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses, and products.
Our team is small and operates with high autonomy. We avoid the bloat of massive tech corporations. Instead, we empower individual engineers to solve problems that would typically require entire outsourced departments. At Joom, your work doesn't just improve metrics – it can fundamentally change the global trade.
About the Role
Mission Critical:
You will be working on most challenging problems and impactful products – whether it’s optimizing cross-border logistics through ML, architecting high-load B2B systems, developing service infrastructure with AI agents, or pioneering LLM-driven internal tools
Direct Impact:
Drive significant business impact by combining technical excellence with smart, innovative ideas that improve user experience and optimize business efficiency.
Who You Are
You are an Exceptional Software Engineer:
You have a track record of building complex, reliable systems and possess a deep understanding of the full stack, from infrastructure to ML-serving
You are "AI Ready":
You treat tools like Cursor, Claude Code, GitHub Copilot, etc. as extensions of your own capabilities to move faster and think bigger
You are confident in making decisions grounded in data and measurable outcomes
Our Tech Culture
High Engineering Density:
Work in a compact, expert and strong team serving large business
Advanced Tooling:
We encourage use of the most modern tools available (OpenAI, Gemini, Anthropic, etc), allowing to build everything you can imagine
Fast Loops:
Our infrastructure is built for speed – experiment, deploy, and see the business effect in real-time
Values & Culture
Move Fast:
We operate in a hyper-dynamic and competitive environment, where challenges and opportunities pop-up every day and successes are immediately copied. That’s why we must move fast: make smart decisions, test hypothesis and quickly scale winning solutions
Strive for Excellence:
Move Fast doesn’t mean that speed is more important than quality. Only well-executed work can enable a startup to become a successful, long-lasting company
Be Open and Honest:
To become stronger, we openly discuss problems, are not afraid to acknowledge mistakes and look deeply into their core
Together We Win:
We only win when we play as one team. Regardless of business unit, country, or department, we work toward a shared goal and do what’s best for the team as a whole
Innovate:
We are here to create services that solve customer needs far better than existing alternatives
We offer
Compensation package: base salary, performance-based bonuses and stock options
Office-first: flexible hours with a possibility to work remotely 52 days per year
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
Relocation Support: full assistance for a smooth relocation for the employees and their family
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
Before applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role.
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
Key responsibilities:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What we're looking for:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Requirements:
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Nice to have:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
In the US, the Base compensation range for this role is $
154,445 - $185,334
.
Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States; Germany
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Valencia
Workplace: Hybrid
ROLE HIGHLIGHTS:
• Senior Software Engineer - Tasking and Planning
• Location: Valencia, Spain
• Department: Ground Segment
• Reports to: Engineering Manager
• Employment type: Permanent
• Workplace model: Hybrid (3 days per week in office)
• Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As Senior Software Engineer on the Acquisition Planning team, you will build the software systems that enable ICEYE and its customers to task satellites, plan data acquisitions, and turn orbital mechanics into operational intelligence capability. From pass prediction and coverage computation engines to event-driven backend services and the engineering interfaces that let users visualise and de-conflict collection plans, you will own the stack end-to-end — working directly alongside engineers and product managers with deep operational backgrounds to understand what users need and ship software that delivers it. This is an early-stage, high-autonomy role where you will help define the architecture and direction of a platform that sits at the intersection of software engineering, applied mathematics, and real-world intelligence operations.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Tasking and Planning Engines. Orbit propagation, pass prediction, acquisition geometry, sensor configuration parameters, and coverage footprint computation. Applied science mathematics turned into operational capability via Software.
- Platform Services. Backend services handling task management. Event-driven workers performing opportunity calculation and synchronising state asynchronously via NATS JetStream. PostgreSQL for persistence. Responsiveness and resilience at the service of the mission.
- Engineering Interfaces. Robust and evolvable APIs and UIs that enable engineers to visualise passes, compare collection plans, plan tasks, and self-service their access to space.
- Whatever the future brings. Multi-sensor coordination, processing pipeline integration, new collection strategies, and capabilities that will emerge from close collaboration with users. You will help define the direction, not just execute it.
WHAT WE’RE LOOKING FOR
Must haves:
- Strong software engineering fundamentals. You design decoupled, maintainable, resilient, performant systems. You can reason about concurrency and how transactions work. You know about CAP and regularly make deliberate trade-offs between Consistency and Availability. You understand the difference between “At most once”, “At least once” and how to design systems around those guarantees.
- Fluency with AI-assisted engineering. You treat AI as a standard part of your toolkit, not a novelty or a threat. You use it across the whole of your work (design exploration, code, tests, documentation, debugging, reviewing unfamiliar codebases) and you have a feel for where it accelerates you and where it quietly costs you time. Crucially, you stay accountable for the output: you know how to prompt and scope a task well, how to verify what comes back, and how to keep the guarantees that production demands. You are curious about improving the way you and your team work with these tools, and you help others get better at it.
- Production experience. You have designed, built, and operated services in production: REST APIs, relational databases, and asynchronous workers. You know how to make your systems observable and resilient. You understand what production demands beyond making things work locally.
- Fast learner in technical domains. This role involves orbital mechanics, RF physics, and geospatial data. You don’t need to come in knowing these — but you do need to be the kind of engineer who can pick up a new domain quickly, ask sharp questions, and start contributing before you’ve mastered every detail.
- Ability to work from ambiguity. You can take a loosely defined operational need (e.g. “we need users to de-conflict between competing collection plans”) and turn it into concrete engineering work. You ask the right questions, make well-reasoned decisions, and adjust when new information arrives.
- Effective communication across domains. You will work alongside people who think in many different ways and work in different contexts. You can listen carefully, ask precise questions, and articulate technical tradeoffs in terms that everybody can understand, and adjust to your audience accordingly.
Nice to haves:
- Event-driven architecture. Experience with NATS, Kafka, SQS, or similar. Understanding of at-least-once delivery, idempotency, and the practical tradeoffs of asynchronous service communication.
- Modern frontend engineering. Production experience with Next.js, React, and TypeScript, particularly for data-intensive or real-time visualisation applications. Experience with CesiumJS or deck.gl http://deck.gl is a strong plus.
- Proficiency with AI development tools. You actively use AI assistants (Cursor, Copilot, Claude, ChatGPT, or similar) in your daily engineering work. Not tentatively, but as a primary tool for writing, reviewing, and iterating on code. You understand their strengths and limitations, and you use them to move faster without sacrificing quality.
- Orbital mechanics background. Experience with TLEs, SGP4 propagation, pass prediction, incidence and squint geometry, and access window computation. Familiarity with tools like Skyfield, GMAT, or STK. This is valuable but learnable on the job.
- Geospatial engineering. GeoJSON, CZML, WGS84, map projections, coverage polygons, and ground footprints. Experience building systems that process and render geospatial data.
- Space, defence, or intelligence sector experience. You have worked in an environment where users depend on the software you build, where the physics constrains what is possible, and where the quality of your work has direct operational consequences. You understand what a tasking workflow looks like from a user perspective.
APPLICATION PROCESS
• TA Partner Screen Call
• Hiring Manager Interview
• Technical Interview
• Values & Fit Interview
• SVP of Engineering Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Sahibzada Ajit Singh Nagar (Mohali), India
Workplace: hybrid
We are currently seeking an
Applied Machine Learning / Computer Vision Engineer
to join one of our clients’ innovative AI teams.
This is an exciting opportunity to work on a next-generation AI platform combining
Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models
.
Key Responsibilities
As an Applied ML / Computer Vision Engineer, you will:
Design, develop, and improve Computer Vision and image-processing pipelines.
Build solutions for video analysis, video understanding, and real-time visual processing.
Develop multimodal AI systems combining vision, audio, and language data.
Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques.
Implement and fine-tune Vision-Language Models and Transformer-based architectures.
Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making.
Evaluate, optimize, and deploy machine-learning models in production environments.
Improve model inference speed, accuracy, scalability, and resource efficiency.
Translate research papers and emerging AI techniques into practical product features.
Build APIs and production-grade services for AI model integration.
Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions.
Monitor model performance and continuously improve deployed systems.
Maintain clear, reusable, and well-documented code.
1–4 years of experienc
e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field.
Strong programming skills in
Python.
Hands-on experience with
PyTorch.
Practical knowledge of
OpenCV and image or video processing.
Strong understanding of Deep Learning fundamentals.
Experience with object detection and/or image segmentation models.
Knowledge of Transformer architectures.
Experience working with
Vision-Language Models.
Familiarity with the
Hugging Face
ecosystem.
Experience with model inference, evaluation, and optimization.
Understanding of how to move models from experimentation into production.
Experience using
Docker
and
Git
.
Ability to independently investigate technical challenges and propose practical solutions.
Ability to understand, reproduce, and implement methods described in research papers.
Strong analytical and problem-solving skills.
Curiosity and willingness to explore new technologies.
Passion for AI, Machine Learning, and product development.
Ownership mindset and accountability for delivered solutions.
Ability to work independently and contribute within a collaborative team.
Interest in building practical products rather than focusing only on model experimentation.
Comfortable working in a fast-moving and research-driven environment.
Nice to Have
Experience with one or more of the following technologies would be considered an advantage:
YOLO
GroundingDINO
SAM or SAM2
Florence-2
Whisper
Qwen2.5-VL
LLaVA
InternVL
CUDA
TensorRT
ONNX
FastAPI
(Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)
Location: Germany; France
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the Role
As the Account Management Lead you'll lead a team of experienced Account Managers across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business.
You will:
- Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals.
- Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices.
- Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities.
- Set strategic direction for the team, aligning account manager initiatives with company goals and market trends.
- Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency.
- Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact.
- Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves.
- Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums.
- Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies.
- Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams.
Requirements
• 10+ years of experience in account management or post-sales roles within SaaS, ideally some of this within Western Europe accounts.
• Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes.
• 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact.
• Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios.
• Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management.
• Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment).
• Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes.
• Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset
• Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team.
• Proficiency in German or French is required.
This role is remote-first, so it can be executed from anywhere within Europe. If you prefer, you can work from our offices in London, Dublin or Paris.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Summary:
Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet.
Key Responsibilities:
Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager.
Hire and develop a high-performing team where team members can thrive and produce results with quality and speed.
Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast.
Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users.
Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic.
Ensure fast, high quality and cross-functional execution across frontend, backend, UX, product, and technical writing.
Drive improvements in quality, security, and performance.
Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet.
We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.
What you'll bring:
Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters)
Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Krakow, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Warsaw, Poland
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Lisbon, Portugal
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.
There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!
What you will do in a typical day:
- Tackle interesting performance and scalability challenges.
- Meticulously refactor bunches of reports decimating code size and run time while preserving results.
- Intelligently manage tech debt while simultaneously delivering new features for the business.
- Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core.
- Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty
- Be a proponent for continuous improvement, architecture, clean code, and good systems design
- We use Github for source control and Jira for project management
- We review PRs! (usually) and ship often.
What you can bring:
- Experienced C# developer.
- Be able to code in C#, SQL and occasionally in Ruby.
- Big Plus: Comfortable reading and modifying Javascript/React.
- Friendly - You will be working in cross function with a lot of cool people!
- Love for data - Our platform provides data intelligence for the digital economy!
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Role Description
The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms.
Key Responsibilities and Duties
— Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts.
— Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing.
— Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial.
— Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals.
— Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress.
— Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk.
— Assume responsibility for the identification of technological risks and the formulation of control design proposals.
— Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering.
— Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company.
— Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines.
— Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment.
— Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives.
— Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working.
— Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed.
— Stay current with emerging cyber threats and security best practices in DevOps environments.
Knowledge and Skills
— Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4
— Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments
— Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4
— Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4
— Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3
— Understanding of cybersecurity risks and data protection principles - L3
— Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus
— Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools)
— Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture
— Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses
— Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
— Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com
Level of Education: Bachelor/Master
Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years)
Benefits & Perks
— Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
— Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide.
— Be part of a truly international fast‑paced environment and performance‑driven culture.
— Full relocation support for you and your family to move to Amsterdam.
— We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years.
— Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential.
— Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits.
— Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture.
— Diverse and creative colleagues from every corner of the world.
— Health, life, and disability insurance*.
— Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
— Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
— Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
— Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership.
— On‑site meals, coffee, and snacks, including healthy and vegan options, daily*.
— Benefits may vary slightly depending on location and contract type.
УдалённоUK, London; Global (Remote)
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УдалённоseniorPoland; Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Lisbon, Portugal; Relocation Support: full assistance for a smooth relocation for the employees and their family