Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations.
You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations.
Responsibilities
Design and deliver enterprise data solutions
· Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments.
· Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions.
· Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective.
Own quality, reliability and operations
· Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement.
· Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks.
· Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency.
Provide technical leadership and collaborate
· Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice.
· Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership.
· Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly.
· Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls.
Skills and Qualifications
· Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions.
· Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks.
· Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies.
· Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles.
· Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services.
· Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments.
· Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders.
· Bachelor’s degree in a relevant discipline or equivalent practical experience.
Desirable Experience
· Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms.
· Experience with AWS services, APIs, event-driven integration and infrastructure as code.
· Experience building reconciled financial data, master/reference data or enterprise operational data products.
· Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices.
· Experience working with globally distributed teams and supporting cross-functional transformation programmes.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
€87.800
—
€131.800 EUR
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: United States
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
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Payward is looking for a Chief of Staff to the Co-CEOs, this is a business operations leader who will be a strategic partner in shaping priorities and driving execution across Payward and its businesses. You will run the operating rhythm of the Office of the CEOs and turn key decisions into coordinated action across the executive team.
This is a hands-on seat at the center of the business. Working alongside our C-suite team, you will bring the right people together, structure the strategic conversations that move the business forward, and give the Co-CEOs a clear point of view they can act on.
The opportunity
- Drive the company priorities agenda as the strategic thought partner to the Co-CEOs and the executive team
- Run the operating rhythm of the business, including executive team meetings, business reviews and leadership forums
- Partner with the executive team including the CFO, COO, CCO and Payward’s business unit leaders to drive initiatives across the organization, resolving competing priorities, removing blockers and guiding resource allocation
- Lead annual and quarterly planning and company OKRs, turning priorities into initiatives, milestones and owners
- Monitor business performance across the company, maintaining the dashboards and management reporting
- Direct the end-to-end production of Board meetings, owning materials, agendas and the Board dashboard, and overseeing all requirements
- Shape major company decisions: synthesize complex information into clear recommendations, build data-driven performance analyses and business cases to support investment, resourcing and organizational decisions, and develop the narratives and executive communications
- Deliver complex, cross-functional special projects and programs end to end, including organizational design and the processes that help the business scale
What you bring
- Prior experience as a Chief of Staff to a CEO office, a head of business operations, or a similar role partnering directly with C-level executives, ideally in a high-growth startup, consulting, investment banking or fintech
- A strategic background, such as startup founder, venture capital analyst or senior consulting engagement lead, with the commercial judgment to move fast in crypto
- The capacity to take in many inputs at once, synthesize them quickly, and set the pace and rhythm for a busy executive team
- Proven experience running an executive operating rhythm, including planning cycles, business reviews and OKRs, and leading complex, cross-functional initiatives from strategy through execution
- Strong commercial judgment and analytical skills, with experience building business cases, performance reporting and executive-level recommendations
- Executive presence that earns trust and influence with C-suite leaders, board members and partners, built as a trusted advisor to a CEO
- Hands-on experience organizing and preparing Board meetings, including materials, agendas, logistics and attendee management
- A track record of sound judgment, high ownership and discretion with confidential matters, with comfort in ambiguity and the confidence to make calls on the Co-CEOs' behalf
Nice to have
- Experience in crypto, fintech, another regulated industry
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 X 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: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
We are looking for a recruiter to partner with our revenue org. You’ll run full-cycle recruiting across high-visibility roles, working with leaders across the GTM org to hire world-class talent.
This isn’t a conventional recruiting role. You’ll work alongside executives to shape role strategy, design a high-touch candidate experience, leverage AI to improve our recruiting operations, and close exceptional talent for a fast-growing commercial team. You know what great looks like in a candidate, whether from building GTM teams at high-growth companies or from consistently exceeding hiring goals. The role centers on high ownership, data-driven decisions, and building pipelines and processes that scale.
RESPONSIBILITIES
- Own full-cycle recruiting for GTM functions, including Sales, Marketing, Customer Success, and Partnerships/BD.
- Partnering with GTM leadership to refine role requirements, set hiring strategy, and identify the signals that raise quality of hire
- Sourcing proactively, well beyond inbound, across healthcare technology, healthcare services, and B2B SaaS
- Designing and managing candidate pipelines with a focus on efficiency, transparency, and a white-glove experience
- Using AI to improve recruiting processes, such as sourcing, outreach, collecting feedback, and pipeline reporting, and sharing what works with the Talent team
- Advising hiring teams with market insights, role benchmarks, and Ashby data, and building the rubrics, scorecards, and debrief practices that keep quality high
- Representing Tennr externally. Every candidate interaction is a chance to show our brand and values.
CANDIDATE QUALIFICATIONS
- 4+ years of recruiting experience, ideally focused on Sales and GTM roles
- 1 to 2+ years of full-cycle recruiting at a high-growth startup, with a strong record closing customer-facing roles
- Ability to manage high-volume, complex searches across multiple priorities without sacrificing quality or urgency
- Strong partnership with hiring leaders: you influence with clarity, data, and operational rigor
- Exceptional communicator who writes compelling role narratives and delivers a high-touch experience to candidates and stakeholders
- Experience with Ashby preferred
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: United States
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
Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken Pro is where serious traders live. Millions of them. But a great product only wins if the right traders find it, trust it, and actually fund an account. Right now, our organic engine isn’t pulling its weight.
You’re going to fix that.
THE OPPORTUNITY
We’re seeking a hands-on Head of Organic Growth to own how Kraken Pro gets discovered and how curious traders become active ones. At Kraken, understanding our brand ethos, mission, and the traders we serve is essential. Organic is where brand and acquisition meet.
We’re looking for a player-coach who moves fast but thinks long-term, gets in the weeds while leading from the front, and knows that traffic means nothing if it doesn’t convert. This role demands sharp B2C acquisition instincts, a product-first mindset, an obsession with UX, and a self-starter attitude.
- Own organic acquisition. Build and run the strategy across SEO, content, social, community, referrals, and partnerships to bring high-intent traders to Kraken Pro.
- Find out if people convert. Map the funnel from first touch to first trade, report on it clearly, and figure out where traders drop off and how to win them back.
- Make UX your edge. Work with Product and Design to audit and improve landing pages, sign-up flows, onboarding, and in-product moments. Great acquisition dies in bad UX, and you know it.
- Acquire through brand. Make every growth channel a brand-building one. Reach is easy to buy; trust is what makes traders stay.
- Know the product cold. Use Kraken Pro like a trader would, understand what makes it better, and turn those strengths into growth levers.
- Lead a lean, scrappy team. Set direction, coach, and unblock a small team, while staying hands-on enough to ship, test, and fix things yourself.
- Test and learn. Run experiments across channels and funnel steps, double down on what works, and kill what doesn’t.
- Report what matters. Build clear dashboards and insights that show leadership what’s driving growth, what isn’t, and what to do next.
- Ship responsibly. Partner with Legal/Comms to ensure compliant, accurate, and aligned messaging across regions and platforms.
WHAT YOU’LL BRING
- 5+ years in B2C acquisition or growth marketing, ideally in fintech, crypto, trading or gaming with experience in a player-coach role leading a small team.
- Product savvy. You understand how products work, why people use them, and how to turn features into growth.
- UX instinct. You can spot friction in a flow from a mile away and brief Product and Design on how to fix it.
- High AI competency. Enabling you to multiply your impact and keep up with demand.
- Analytical rigor. Comfortable with funnels, cohorts, attribution, and experimentation, and able to turn data into decisions and clear stories.
- Speed under pressure. Markets don’t wait for approval cycles and neither do you.
- Range as a marketer. SEO, content, social, lifecycle, partnerships. You know enough about each to direct the work, and you can roll up your sleeves when needed.
- Taste. Knowing which channels and tactics not to pursue is as valuable as knowing which to scale.
- Familiarity trading culture, and the language traders use.
- Strong communication and leadership skills, with the ability to align cross-functional teams around a shared growth goal.
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 X 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: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; 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
Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken Pro is where serious traders live. Millions of them. But a great product only wins if the right traders find it, trust it, and actually fund an account. Right now, our organic engine isn’t pulling its weight.
You’re going to fix that.
THE OPPORTUNITY
We’re seeking a hands-on Head of Organic Growth to own how Kraken Pro gets discovered and how curious traders become active ones. At Kraken, understanding our brand ethos, mission, and the traders we serve is essential. Organic is where brand and acquisition meet.
We’re looking for a player-coach who moves fast but thinks long-term, gets in the weeds while leading from the front, and knows that traffic means nothing if it doesn’t convert. This role demands sharp B2C acquisition instincts, a product-first mindset, an obsession with UX, and a self-starter attitude.
- Own organic acquisition. Build and run the strategy across SEO, content, social, community, referrals, and partnerships to bring high-intent traders to Kraken Pro.
- Find out if people convert. Map the funnel from first touch to first trade, report on it clearly, and figure out where traders drop off and how to win them back.
- Make UX your edge. Work with Product and Design to audit and improve landing pages, sign-up flows, onboarding, and in-product moments. Great acquisition dies in bad UX, and you know it.
- Acquire through brand. Make every growth channel a brand-building one. Reach is easy to buy; trust is what makes traders stay.
- Know the product cold. Use Kraken Pro like a trader would, understand what makes it better, and turn those strengths into growth levers.
- Lead a lean, scrappy team. Set direction, coach, and unblock a small team, while staying hands-on enough to ship, test, and fix things yourself.
- Test and learn. Run experiments across channels and funnel steps, double down on what works, and kill what doesn’t.
- Report what matters. Build clear dashboards and insights that show leadership what’s driving growth, what isn’t, and what to do next.
- Ship responsibly. Partner with Legal/Comms to ensure compliant, accurate, and aligned messaging across regions and platforms.
WHAT YOU’LL BRING
- 5+ years in B2C acquisition or growth marketing, ideally in fintech, crypto, trading or gaming with experience in a player-coach role leading a small team.
- Product savvy. You understand how products work, why people use them, and how to turn features into growth.
- UX instinct. You can spot friction in a flow from a mile away and brief Product and Design on how to fix it.
- High AI competency. Enabling you to multiply your impact and keep up with demand.
- Analytical rigor. Comfortable with funnels, cohorts, attribution, and experimentation, and able to turn data into decisions and clear stories.
- Speed under pressure. Markets don’t wait for approval cycles and neither do you.
- Range as a marketer. SEO, content, social, lifecycle, partnerships. You know enough about each to direct the work, and you can roll up your sleeves when needed.
- Taste. Knowing which channels and tactics not to pursue is as valuable as knowing which to scale.
- Familiarity trading culture, and the language traders use.
- Strong communication and leadership skills, with the ability to align cross-functional teams around a shared growth goal.
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 X 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: United Kingdom; Ireland; Cyprus; Portugal; Poland
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
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Join our Product and Regulatory Legal team, embedded with Kraken's Product, Design and Engineering teams to ship novel products and experiences that accelerate the global adoption of crypto. We are a tight, experienced group of lawyers from a diverse range of tradfi, fintech and crypto backgrounds who move fast, stay curious and take pride in the commercial accountability of our advice, partnering directly with Product, senior leadership and Compliance to chart clear, defensible paths to launch and to keep our licensed entities running smoothly.
This is a senior product-facing legal role for the European Union. You will be the lawyer the business trusts on questions that cut across several regimes at once: for example, a single product such as a tokenised equity, a card, or an institutional custody and prime brokerage service can touch the Markets in Financial Instruments Directive ("MiFID II"), the Markets in Crypto-Assets Regulation ("MiCA"), the Payment Services Directive ("PSD2"), the Electronic Money Directive ("EMD2") and banking rules at the same time. You will bring clarity on which regime applies, what it requires, and how to launch within it.
THE OPPORTUNITY
Reporting to the Head of Product Legal, you will act as a senior legal adviser to European leadership on new products, licensing structure and regulatory strategy.
- Own cross-functional product counselling for European Union launches from discovery to design, launch and iteration, giving Product, Engineering, Compliance and leadership decision-ready advice with clear options and risk trade-offs
- Advise on the regulatory perimeter and classification of new offerings across MiFID II and the Markets in Financial Instruments Regulation ("MiFIR"), MiCA, the European Market Infrastructure Regulation ("EMIR"), payment services and electronic money rules, and banking regulation, including where an instrument or service falls between regimes (for example tokenised securities, crypto-asset derivatives, margin and financing, and stablecoin-linked products)
- Advise on payments and electronic money offerings, including the Krak card and account propositions, safeguarding, open banking and account-access obligations, and the developing Payment Services Directive 3 and Payment Services Regulation framework
- Advise on banking-related questions that arise in the European Union, including bank partnerships and sponsor-bank arrangements, deposit-taking and lending perimeter questions, the Capital Requirements Regulation and Directive, and the interaction of these rules with our custody, prime brokerage and financing products
- Monitor and interpret European Union legislative and supervisory developments, take part in consultations and industry association work where appropriate, and translate their significance for the business proactively
- Draft and negotiate client-facing terms and conditions, taking clear, business-aligned positions
- Act as gatekeeper for European Union outside counsel engagements: scope the work, estimate and manage cost, and sign off before matters go externally
- Mentor and develop more junior lawyers in the team, set quality standards for plain-English, risk-based advice, and act as a senior sounding board for colleagues across the Regulatory Legal team
- Use AI-assisted tools (for example Enterprise GPTs) to speed up regulatory analysis, first drafts and matter tracking, and to build self-service tools that let stakeholders answer commoditised legal and regulatory questions themselves
- Advise on anti-money laundering and counter-terrorist financing requirements affecting products, including the Transfer of Funds Regulation ("Travel Rule") and the new European Union anti-money laundering package, and on market abuse, conduct, outsourcing and operational resilience obligations, including the Digital Operational Resilience Act ("DORA")
- Lead or oversee licensing, authorisation and variation workstreams in the European Union, including scoping requirements, mapping pathways, supervising outside counsel, preparing application materials and managing regulator interactions
WHAT YOU BRING
- Qualified lawyer admitted in Ireland, England and Wales, or another European Union Member State
- 15 or more years' post-qualification experience ("PQE") in financial services regulatory law, gained at a regulated financial services institution (for example a bank, payment institution, broker-dealer, exchange, central counterparty or crypto services provider) or at a leading law firm supporting such clients, ideally with in-house or direct product counselling experience
- Deep, current knowledge of several of the following, with real depth in at least two: MiFID II and MiFIR (investment services, market structure, derivatives and conduct), MiCA (crypto-asset services, custody, trading platforms and stablecoins), European Union payment services and electronic money regulation, and European Union banking regulation
- Demonstrated ability to analyse novel products against overlapping regimes and give a clear view on classification and perimeter, including in areas where the rules are unsettled or supervisors have not yet spoken
- Direct experience managing senior regulator relationships, including notifications, information requests, supervisory correspondence and examinations
- Working knowledge of anti-money laundering and counter-terrorist financing, outsourcing and operational resilience obligations, including DORA
- Proven ability to instruct, supervise and manage the cost of outside counsel across multiple jurisdictions
- Outstanding analytical, drafting and organisational skills, with crisp, plain-English writing
- Ability to distill complex legal and regulatory issues into clear, actionable guidance for non-lawyer stakeholders and for senior leadership
- A pragmatic, commercially accountable approach to legal and regulatory risk that gives stakeholders a useful range of options and a clear recommendation
- Experience mentoring or managing lawyers, and the judgement to know when to escalate
- Comfort operating with a high degree of autonomy in a fast-moving, remote environment
- Familiarity with using AI tools such as Enterprise GPTs to increase the efficiency of legal services
NICE TO HAVES
- Experience advising on tokenised securities and the European Union Distributed Ledger Technology Pilot Regime
- Experience with EMIR, including the clearing obligation, margin for non-centrally cleared derivatives and transaction reporting
- Experience with prime brokerage, securities financing, margin lending or institutional custody
- Experience advising on the United Kingdom cryptoasset regime or other non-European Union frameworks that intersect with European Union operations
- Experience supporting regulatory aspects of corporate transactions, such as change-of-control notifications and entity migrations
- Experience with European Union data protection and consumer protection rules as they apply to financial products
- Fluency in a second European language
- An authentic interest in crypto and digital assets, and familiarity with Payward's and competitors' products
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 X 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: Espoo
Workplace: Hybrid
Role highlights:
- Senior Manager, Total Reward
- Location: Espoo, Finland
- Department: People
- Reports to: VP, People
- Employment type: Permanent
- Workplace model: Hybrid
Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS
As Senior Manager, Total Rewards, you'll build the Total Rewards function at ICEYE from the ground up. Today we don't have a mature Total Rewards infrastructure, and we need someone who has done this before and knows how to take an organization from fragmented compensation and benefits practices to a clear, scalable, data-driven framework.
You will own the strategy, design, and implementation of Total Rewards across our global workforce in Finland, Europe, the US, and Asia-Pacific. Reporting to the VP, People, you'll be a strategic partner to executive leadership, People Business Partners, Finance, and business leaders, bringing structure and discipline to how we make reward decisions while keeping the employee experience at the center.
This is a builder role. You'll be comfortable in an environment where the answer isn't yet documented and the process doesn't yet exist, and the expectation is to figure it out, build it, and make it work.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Build the global Total Rewards framework: Define and implement ICEYE's Total Rewards philosophy, principles, governance, and operating model, including decision rights, so rewards are managed consistently across countries and employee populations.
- Lead and develop the Total Rewards team: Manage, coach, and develop the Rewards Specialist reporting to you, setting clear priorities, building expertise, and fostering a high-performing team. Balance hands-on delivery with effective delegation and capability building as the Total Rewards function evolves and scales.
- Build compensation infrastructure: Establish global salary benchmarking and market-pricing methodology, salary ranges and structures across relevant geographies, compa-ratio and market-positioning analysis, internal and pay equity analysis, and guidelines for new-hire pay, promotions, lateral moves, and out-of-cycle adjustments.
- Design and run compensation cycles: Build and lead scalable global merit, promotion, and equity refresh cycles, including budgeting, scenario modelling, manager guidance, and communication, in partnership with People Business Partners, Finance, and leadership.
- Create job architecture and career structures: Partner with People Operations and People Business Partners to build a practical global job architecture covering job families, career levels, leveling criteria, and role scope, with enough structure for consistency and without unnecessary bureaucracy.
- Own equity and long-term incentives: Develop and govern ICEYE's global equity approach, including eligibility, grants and refreshes, pool planning, and executive and senior leadership equity, working with Finance, Legal, executive leadership, and the Board/Remuneration Committee while respecting country-specific constraints.
- Design variable compensation and sales incentives: Work with Commercial, Sales Operations, Finance, and business leaders to build and govern sales incentive plans, commission structures, and bonus frameworks, balancing commercial outcomes with simplicity, transparency, and financial discipline.
- Build the benefits strategy: Develop a coherent global benefits philosophy with local relevance. In Finland this includes oversight of occupational healthcare, insurance, pension arrangements, flexible benefits, ePassi, bike benefits, and other local programs, plus principles to harmonize benefits across our international locations.
- Establish pay transparency and pay equity: Build the processes, data, and governance to prepare ICEYE for the EU Pay Transparency Directive, Finnish equal-pay requirements, and other relevant regulations, turning requirements into practical processes rather than only managing compliance.
- Advise executives and the Board: Act as a trusted Total Rewards advisor to the VP People, executive leadership, and the Board/Remuneration Committee, with clear, data-driven recommendations on executive compensation, market positioning, equity allocation, incentives, budgets, and reward strategy.
WHAT WE'RE LOOKING FOR
MUST HAVES
- You have built this before: you have personally built or materially transformed a Total Rewards function, taking an environment with incomplete or inconsistent processes, data, structures, and governance and making it scalable
- 8+ years of progressive experience in HR/People, with significant specialization in Total Rewards
- 3+ years in a senior Total Rewards leadership or ownership role
- Experience in a fast-growing, international technology, aerospace, engineering, deep-tech, or similarly complex organization, including through significant growth and organizational change
- Experience designing and operating compensation and benefits programs across multiple countries, particularly Europe and the US, with an understanding of how global frameworks differ from local market requirements
- Strong understanding of Finnish employment, benefits, taxation, and compensation practices
- Deep technical Total Rewards expertise: market benchmarking and survey data, salary structures and ranges, job architecture and leveling, compa-ratio and market positioning, pay equity analysis, equity and LTI, annual compensation cycles, variable compensation and sales incentives, benefits strategy, compensation modelling and analytics, and pay transparency
- Builder mentality: comfortable starting with ambiguity and without an existing playbook, mature HRIS configuration, or perfectly clean data; able to set a practical roadmap and be pragmatic about where structure is needed
- Executive presence and commercial acumen: able to translate complex reward topics into clear business decisions, challenge assumptions, model scenarios, and make recommendations to senior leadership and the Board
- A human-centric approach: you think about how reward decisions are experienced by employees and managers, and you build clarity and trust rather than more process
- Professional fluency in English
NICE TO HAVES
- Finnish language skills
- Familiarity with Finnish collective agreements/TES environments
- Experience with leading market data providers such as Radford, Mercer, WTW, or similar
- Experience navigating international equity and compensation considerations
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 Attraction 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'll 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: Bangalore, India
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.
Analyst
Location: Hybrid - Bangalore, India (2 Days per week in Office)
This role serves as a critical bridge between the Sales, Product, and Analyst teams, ensuring data-related requests are accurately submitted, properly prioritized, and resolved in a timely manner. As the first point of contact for APAC data validation inquiries, you will own the triage process, represent the team on customer calls, and champion internal alignment on both public and proprietary data across the APAC digital advertising market. As part of a collaborative global team, this role requires flexibility to participate in weekly cross-timezone meetings. This is a hybrid position with 2 days per week in office.
Please note: this role is offered on a B2B contractor basis, directly with Sensor Tower's US entity, and not on Sensor Tower's Indian company payroll. This is how our entire India team currently operates.
What You Will Do:
- Assess incoming data related tickets for completeness, clarity, and accuracy from go to market teams.
- Review and Triage Data Validation Tickets to respective Lead Analysts.
- Flag and redirect any non-actionable or duplicate requests.
- Develop and maintain a ticket prioritization framework to help Lead Analysts and Data Science teams focus on high-impact issues.
- Collaborating with Lead Analysts to systematically compare and align public and internal datasets.
- Proactively participating in APAC sales calls to address data related insights and surface actionable product feedback.
- Support cross-functional initiatives between the Sales, Product, Analysts and Data Science teams for the APAC region.
- Provide feedback and insights to improve internal data tools and customer experience.
- Monitor trends in the mobile app and advertising space to identify compelling and actionable insights for current and prospective customers.
Qualifications:
- 3+ years of experience in advertising technology, or a related field with exposure to mobile app advertising ecosystems.
- Mandatory: hands-on experience working with the India market and Indian brands specifically, including familiarity with local channel mix, CPMs, and category spend volumes.
- Familiarity with SQL for data querying and validation
- Comfortable working with sales teams and customers to explain data insights and manage multiple tasks in possible time-sensitive situations
- Ability to research and synthesize market trends, competitor data, and industry benchmarks.
- Experience in reviewing and interpreting public financial statements
- Knowledge of digital advertising and mobile marketing KPIs (impressions, CPM, CTR, ROAS)
- Familiarity with APAC markets, particularly India, Southeast Asia, and/or Japan
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: São Paulo, Brazil
Workplace: fully
Sumsub
is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets.
Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe.
Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging.
Now we are looking for a
Billing Manager
to oversee the accuracy and consistency of our billing operations. This role is an exciting opportunity to build expertise in international finance processes and contribute directly to our company’s growth.
What You Will Be Doing:
Ensure accurate and timely issuance of invoices in the billing system.
Maintain billing data with a high level of accuracy and consistency.
Communicate with customers regarding invoices, payments, and billing inquiries.
Collaborate with the Customer Operations team to address client questions related to billing.
Monitor accounts receivable and follow up on outstanding payments.
Prepare regular billing and financial reports to support internal processes.
Contribute to the continuous improvement of billing procedures and workflows in cooperation with finance and operations teams.
About You:
Attention to detail:
Accuracy and precision in handling financial and billing data.
Commitment and persistence:
Ability to manage repetitive operational tasks and consistently deliver on time.
Communication skills:
Clear and effective interaction with both customers and internal teams.
Problem-solving mindset:
Proactive approach to resolving billing discrepancies and improving processes.
Collaboration:
Strong team orientation and reliability in a cross-functional environment.
What We Offer:
Remote-first, trust-based culture.
Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
True flexibility.
We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
Extra time off.
Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.
Work that matters.
Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.
Compensation.
We offer fair and transparent pay, benchmarked to the market.
Truly global.
We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.
Growth built in.
Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.
Celebrating your big moments.
We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family.
Team offsites.
Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.
Getting you set up.
We make sure you have access to the tools and hardware you need to do your work well.
Friendly by design.
Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.
The hiring stages:
TA screening -> Hiring Managers Interview -> Final Interview.
Sounds like a great opportunity for your career development? Then go ahead and apply!
We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.
We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.
The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.
Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.
The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.
You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation.
The main responsibilities of the position include:
Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies.
Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation.
Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring.
Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations.
Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions.
Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices.
Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight.
Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework.
Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability.
Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice.
Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects.
Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption.
Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation.
Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities.
Main requirements:
BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.
At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team.
Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications.
Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation.
Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools.
Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions.
Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs.
Solid understanding of IT engineering metrics and data-driven measurement of development performance.
Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks.
Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations.
Experience presenting to and working directly with senior or C-level stakeholders.
Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences.
Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications.
Proficiency in written and spoken English.
Ability to work independently and collaboratively in fast-paced environments.
Strong analytical and problem-solving skills.
Strong organisational skills, with the ability to manage multiple initiatives and priorities.
Willingness and ability to continuously learn and upskill.
The following will be considered an advantage:
Experience in fintech, trading or financial services.
Experience working with or within an innovation lab or applied research environment.
Experience with AI or IT engineering maturity frameworks.
Experience representing an organisation at external technology events and industry forums.
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
Attractive relocation package and support for a smooth relocation for you and your family
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
Why Kimchi?
Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too.
The Auto Router
Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours.
Made
by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion.
About the role
Every request gets a decision: which model serves it.
This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle.
The problem:
routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic.
Stack:
Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI.
Requirements
You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts.
Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone.
You know the difference between a model that got better and an eval that got easier.
You have real opinions about what LLM benchmarks measure, agentic harnesses included.
You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly.
You instrument before you optimize, error bars and all.
A wide mandate excites you more than it unsettles you.
Nice to haves
You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts.
Calibration, abstention, or conformal methods in production decision systems.
You've run online A/B loops with drift monitoring on a model that touches real money.
Responsibilities
Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact.
Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes.
Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy.
Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture.
Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship.
Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today.
Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support.
What’s in it for you?
Competitive salary (depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
Why Kimchi?
Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves.
Kimchi Inference
One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship.
Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion.
About the role
Throughput. Latency. Cold starts. Cost per token.
Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data.
The problem:
the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next.
Stack:
Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI.
Requirements
You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks.
Your Python is production-grade: services, not scripts.
You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU.
You've measured quantization regressions, not just compression ratios.
Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes.
You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move.
You instrument before you optimize, and you can tell a real win from a benchmark artifact.
A wide mandate excites you more than it unsettles you.
Nice to haves
You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts.
Calibration, abstention, or conformal methods in production decision systems.
You've run online A/B loops with drift monitoring on a model that touches real money.
Responsibilities
Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine
fleet. Find the ceiling on each GPU SKU, then raise it.
Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or
network) and fix it, not the one you assumed.
Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the
unrealized throughput lives here, and you'll own it.
Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business
taking an hour to reach serving.
Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks.
Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck
on storage or interconnect.
Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible
experiments.
What’s in it for you?
Competitive salary (depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
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Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Bangalore; Delhi, India; Mumbai; India - Remote
Workplace: remote
Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM.
We are looking for a Staff Compiler Performance Engineer to set the technical direction for Falcon performance. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. You will decide where the next significant performance gains come from, lead the design of the optimizations that deliver them, and make sure the compiler architecture supports the product roadmap.
You will be the senior technical voice on a distributed team of compiler experts and a key partner for runtime, GC and product teams.
What You Will Do (aka Responsibilities)
Define the performance strategy for Falcon: identify the largest opportunities across benchmarks and customer workloads and turn them into a technical roadmap
Lead design of complex, cross cutting optimizations in the optimizer and code generator, and of the interfaces between the compiler, the runtime and the garbage collector
Make architectural decisions on the Falcon optimization pipeline, compile time budget and tiering strategy
Lead enablement of Falcon on new hardware platforms and new Azul products
Mentor senior engineers, review critical designs and code, and set standards for performance methodology and validation
Represent Azul in the LLVM community: drive upstream design discussions and contributions that benefit managed language compilers
What You'll Bring (aka Experience, Skills)
8+ years of professional experience developing optimizing compilers or JIT compilers
Track record of technical leadership: owning the design of major compiler components or optimization frameworks used in production
Expert C++ skills and experience in large, long lived codebases
Deep expertise in compiler optimization and code generation, with a clear view of the tradeoffs between peak performance, compile time, warmup and code size
Expert performance analysis skills down to the microarchitecture level
Nice to Have
Recognized contributions to LLVM or another major compiler: code owner, maintainer or author of significant upstream work
Deep experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar
Experience working closely with runtime and GC teams on speculation, deoptimization and barrier design
УдалённоBangalore; Delhi, India; Mumbai; India - Remote
Location: Bangalore; Delhi, India; Mumbai; India - Remote
Workplace: remote
Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM.
We are looking for a Compiler Performance Engineer to make Falcon generate even faster code. This is not a compiler front end role and not a compiler built from scratch: the compiler exists, runs in production at large enterprises, and your job is to find where the generated code is slower than it should be and fix it in the optimizer and code generator.
You will join a distributed team of compiler experts and work on real workloads with direct, measurable impact on customer performance.
What You Will Do (aka Responsibilities)
Analyze performance of Java benchmarks and customer workloads, find gaps in generated code and trace them to their root cause in the compiler
Implement and improve optimizations in Falcon's middle end and back end: inlining, loop optimizations, vectorization, redundancy elimination, speculative optimizations and their interaction with the runtime
Improve code generation for x86_64 and AArch64
Write tests and benchmarks that prove the improvement and protect it from regressions
Contribute changes upstream to LLVM where it makes sense
What You'll Bring (Experience, Skills)
2+ years of professional experience in compilers, JIT compilers or low level performance engineering
Strong C++ design and coding skills
Solid understanding of compiler optimization theory: SSA, data flow analysis, loop transformations
Ability to read assembly and reason about why one instruction sequence is faster than another
Very Nice to Have
Experience with LLVM IR and LLVM optimization passes, or with another optimizing compiler such as HotSpot C2, Graal, GCC or V8
Experience with profilers such as perf, VTune or async profiler
Knowledge of x86_64 and/or AArch64 microarchitecture
Experience with Java, Scala or Kotlin, or with JVM internals
MSc or PhD in Computer Science with a compiler or performance focus
УдалённоBangalore; Delhi, India; Mumbai; India - Remote
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Lifecycle Marketing Specialist
San Mateo, CA / Hybrid
The
Lifecycle Marketing
team is part of the broader Global Media and Omnichannel Marketing function within PlayStation and
is responsible for
implementing multi-channel digital programs and campaigns developing a relevant dialogue with tens of millions of customers across the globe.
We are advocates for the
player
. Crafting unforgettable digital experiences that fulfill player curiosity, boost
gameplay
and drive revenue. We use data-driven insights to build one-to-one relationships and personali
z
ed journeys with players across
web
, email, mobile and on-console.
The
Lifecycle Marketing
Specialist
role
is
responsible for
delivering
lifecycle
campaigns head to tail
including
planning,
testing,
executing
and measurement
specifically
for
Live Service and franchise
titles
.
This creative and innovative
individual
will work closely with our Creative Studio, Data Science, Audience & Measurement and Marketing teams across the Americas, Europe, and Asia. Together, we are on a mission to redefine owned channel marketing and its relationship to company growth and player engagement.
Main responsibilities:
Build, configure, test, QA and launch multi-channel campaigns and automated journeys directly within campaign management tools for Live Service and franchise software titles across email, mobile and on-console messaging channels.
Partner closely with senior lifecycle marketing leads to translate strategies and campaign blueprints into high-quality campaigns, moving efficiently from brief through build, approval and launch.
Plan campaigns based on existing campaign blueprints, and collaborate with team to iterate and improve on prior campaign structures.
Operate with agility in a fast-moving live-service environment, adapting campaign plans, journeys and priorities in response to game updates, player behavior, business needs and emerging opportunities.
Lean into automation and trigger-based messaging, spotting opportunities to scale our lifecycle programs.
Collaborate with team to drive ‘Player Centricity’ through models, content and player insights to achieve 1:1 personalization at scale across the channel mix.
Analyze campaigns and journeys to understand the performance of these activities and build on the results for the next iteration. Share these results back to the business with clear insights and opportunities.
Collaborate on test and learn strategy to optimize campaigns; feeding all insights gained back into a continuous process of testing and refinement.
Keep a pulse on the lifecycle marketing landscape, seek and understand emerging trends, technologies and innovation to provide ongoing learning for the marketing organization.
What we’re looking for:
Educated to degree level in a related field such as Business, Marketing and a strong academic record.
3+ years of proven experience in B2C marketing, customer lifecycle management, engagement marketing.
Experience building Lifecycle Marketing program support for Live Service games is desirable.
Highly organized - able to handle a full workload and progress multiple ambitious projects simultaneously thanks to your skill and work ethic.
Passionate about the customer– you look at quantitative and qualitative consumer insights to make decisions and recommend improvements.
Strong communicator who comfortable briefing Creatives, Analysts, Engineers, Legal and management.
Strong analytical and quantitative skills with a consistent track record in data-based decision making.
Innovative and constantly exploring new ways of doing things and challenging the status quo.
Sophisticated communicator with excellent influencing skills.
Experience in Salesforce Marketing Cloud, Journey Builder, and Interactive Studio or equivalent ESP.
Excellent interpersonal skills with expertise and integrity that will earn respect and trust with internal team members and external vendors.
Experienced in establishing relationships and operating compassionately across cultures. This includes collaborating openly and bringing together different perspectives to drive well-informed decisions.
#LI-SV1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$95,800
—
$143,600 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior Software Engineer, ML Platform,
you will work on our ML Data Team
and be instrumental in
architecting, implementing, and maintaining foundational ML infrastructure
powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems.
Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage.
Build tools that help teams assess signal importance and make informed lifecycle decisions.
Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata.
Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.
Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.
Who You Might Be:
5+ years of experience in the ML Platform domain.
Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN).
Experience with large-scale batch and streaming data processing.
Experience building production-quality systems with testing, monitoring, observability, and reliability practices.
Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
УдалённоUnited States; 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
New York City Office
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоheadUnited States; 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
УдалённоheadUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; 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
УдалённоUnited Kingdom; Ireland; Cyprus; Portugal; Poland; 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
ГибридseniorEspoo
ГибридBangalore, India; As part of a collaborative global team, this role requires flexibility to participate in weekly cross-timezone meetings
São Paulo, Brazil; We work across continents and time zones, with teammates and customers from all over the world; This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location
ГибридLimassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations; Attractive relocation package and support for a smooth relocation for you and your family
seniorAustria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
География найма не уточнена
London
seniorAustria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
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