Location: London
Workplace: Hybrid
Why Engineering @loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you’ll have:
Senior Software Engineers at loveholidays have strong expertise in:
- Supplier integration systems that process vast amounts of data
- Industry leading bespoke, high performance search and recommendation systems
- Sophisticated real time pricing systems
- Complex domain modelling and implementation of booking payment, fulfilment and management systems
- AI-powered solutions to assist customers pre and post booking
- Best in class, modern user experience through web and mobile applications
For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/.
Or our open source contributions:
- github.com/loveholidays/ripley http://github.com/loveholidays/ripley
- github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit
- github.com/loveholidays/po-test http://github.com/loveholidays/po-test
As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them.
Your day-to-day:
- Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9
- Building and running services at scale in the cloud
- Collaborating with engineers, designers, product managers within and outside of the team
- Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus
- Understanding the wider context of the business and designing system architectures that meet short and long term business goals
Your skillset:
- Algorithms, data structures
- Observability
- Web services, REST, HTTP
- Containers, cloud
- Testing, reliability, monitoring
- Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement
- Designing systems that scale
- Expertise in some of our main programming languages - TypeScript, Java, Golang, Rust, Python
Desirable
- Experience with Kubernetes, Prometheus, Terraform, NoSQL or GCP
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
The interview journey:
- TA screening - 30 mins
- 1st Stage - Introduction - 45 mins
- Coding challenge - take home test or live pairing
- 2nd Stage - 3 hours
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
Location: Cyprus
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
Company & Culture
EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account.
We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward.
As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance.
About the Role
Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book.
Reporting line:
Chief Operations Officer.
Worksite
: Remote
Responsibilities
Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk.
Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits.
Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management.
Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book.
Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line.
Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility.
Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling.
Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes).
Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan.
Experience
10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes.
Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk.
Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential.
Securities financing — familiarity with securities financing and stock lending operations is a strong plus.
Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected.
Fluent English — mandatory.
Commercial and disciplined — technical, comfortable with full accountability for a P&L.
What we offer
Competitive salary that reflects your experience and the value you bring.
Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best.
Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle.
A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way.
Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry.
Connection beyond your desk — events that bring our teams together to network and celebrate.
Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
Location: Switzerland
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
Company & Culture
EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account.
We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward.
As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance.
About the Role
Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book.
Reporting line:
Chief Operations Officer.
Worksite
: Remote
Responsibilities
Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk.
Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits.
Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management.
Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book.
Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line.
Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility.
Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling.
Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes).
Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan.
Experience
10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes.
Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk.
Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential.
Securities financing — familiarity with securities financing and stock lending operations is a strong plus.
Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected.
Fluent English — mandatory.
Commercial and disciplined — technical, comfortable with full accountability for a P&L.
What we offer
Competitive salary that reflects your experience and the value you bring.
Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best.
Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle.
A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way.
Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry.
Connection beyond your desk — events that bring our teams together to network and celebrate.
Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
Senior AI DevOps / LLMOps
specialist
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Key Responsibilities
Automation of Build-to-Production
- Design and implement robust CI/CD pipelines tailored for AI, covering model weights,
dataset versioning, and application code.
- Develop specialized workflows for PromptOps, ensuring that system prompts are
version-controlled, tested for regressions, and deployed with the same rigor as traditional
code.
-Automate the deployment of Agentic workflows, managing the complexities of stateful
AI interactions and multi-agent handoffs.
2. AI Infrastructure as Code (IaC)
- Provision and manage high-performance compute environments (GPU clusters, TPU
pods) using Terraform, Pulumi, or Ansible.
- Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security,
cost-usage limits, and data residency requirements.
- Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless
parity between On-Premises development and Cloud production.
3. Safe Experimentation & Controlled Releases
- Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green
deployments, and Shadowing (where new models run in parallel with production to
compare outputs).
- Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias,
hallucination, and performance degradation before a release.
- Implement A/B testing frameworks specifically designed for LLM outputs and agentic
behavior.
4. Monitoring & Observability
- Establish deep observability into Inference Endpoints, tracking metrics like tokens-per-
second, latency, and drift in model accuracy.
-Integrate feedback loops that capture production “edge cases” to feed back into the
training and fine-tuning pipelines.
Must-Have Technical Skills:
-Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or
NVIDIA Triton.
-CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi.
- AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize
Phoenix.
-Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises
hardware management.
-Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault).
Experience:
- 10+ years in DevOps, SRE, or Cloud Engineering.
- 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs
from notebook to production.
-Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private
Data Center).
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior Product Designer
to join our rapidly expanding team to assist with the entire design process, execute excellent UX flows, apply visual design systems, prototype using a variety of tools and methods, create production-ready designs, conduct usability testing and support implementation.
The successful candidate will be responsible to improve existing product designs and analyze market standards to produce high quality and performance outcomes.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
Translate complex user needs and business goals into clear, intuitive product experiences across web and mobile applications.
Develop user flows, interaction models, wireframes, and polished visual designs that support seamless and engaging experiences.
Build and iterate on interactive prototypes to test and communicate design ideas effectively.
Create and maintain consistent design systems and reusable UI components to ensure scalability and coherence across products.
Collaborate closely with Product team, developers, and other stakeholders to ensure design intent is carried through to implementation.
Provide design leadership across product initiatives, helping define UX strategy and ensuring a consistent user experience across the product portfolio.
Facilitate design reviews and cross-functional discussions to align teams and drive decision-making.
Mentor and support team members, promoting design best practices, providing constructive feedback and helping raise the overall quality of design within the team.
Lead and participate in user research, competitor analysis to uncover insights, validate assumptions, and inform design strategies.
Use product analytics, customer feedback, and usability testing to evaluate and refine your designs post-launch.
Present your work clearly and explain the rationale behind design decisions.
Balance multiple initiatives while managing timelines, feedback loops, and evolving priorities.
Stay current with industry best practices in UX/UI, accessibility, and responsive design
Manage multiple design initiatives simultaneously, adapting quickly to shifting priorities and tight timelines in a fast-paced environment.
What do you need to succeed in this role?
Excellent communication, collaboration, and stakeholder management skills, with the ability to present and defend design decisions effectively in English.
Proven track record of creating user-centric designs that drive engagement, conversion, and measurable business outcomes.
5+ years of experience in Product Design, UX/UI Design, with experience leading complex design initiatives.
Strong experience in:
Creating and analyzing user personas, customer journeys, wireframes, and interactive prototypes.
Building user flows, translating requirements into design solutions, and working closely with Product and Engineering teams throughout the delivery lifecycle.
Conducting user research, usability testing, and applying data-driven insights to improve product experiences.
Advanced proficiency in design and prototyping tools (Figma preferred; experience with other design tools is a plus).
Solid front-end development experience with the ability to prototype, validate and collaborate effectively with engineering teams.
Previous experience designing and delivering mobile-first and responsive web experiences.
Strong interest in AI-powered product development and experience leveraging AI tools to accelerate research, ideation, prototyping, content generation, and design workflows.
Ability to help establish and drive AI-enabled design practices within the Product Design team, identifying opportunities to improve efficiency, quality and innovation through AI.
Experience creating and maintaining scalable design systems and reusable component libraries.
Ability to mentor other designers and contribute to the growth of design processes, standards, and culture.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Hybrid Work Flexibility.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Task Assessment
Technical Interview or home assignment
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior Product Designer
to join our rapidly expanding team to assist with the entire design process, execute excellent UX flows, apply visual design systems, prototype using a variety of tools and methods, create production-ready designs, conduct usability testing and support implementation.
The successful candidate will be responsible to improve existing product designs and analyze market standards to produce high quality and performance outcomes.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
Translate complex user needs and business goals into clear, intuitive product experiences across web and mobile applications.
Develop user flows, interaction models, wireframes, and polished visual designs that support seamless and engaging experiences.
Build and iterate on interactive prototypes to test and communicate design ideas effectively.
Create and maintain consistent design systems and reusable UI components to ensure scalability and coherence across products.
Collaborate closely with Product team, developers, and other stakeholders to ensure design intent is carried through to implementation.
Provide design leadership across product initiatives, helping define UX strategy and ensuring a consistent user experience across the product portfolio.
Facilitate design reviews and cross-functional discussions to align teams and drive decision-making.
Mentor and support team members, promoting design best practices, providing constructive feedback and helping raise the overall quality of design within the team.
Lead and participate in user research, competitor analysis to uncover insights, validate assumptions, and inform design strategies.
Use product analytics, customer feedback, and usability testing to evaluate and refine your designs post-launch.
Present your work clearly and explain the rationale behind design decisions.
Balance multiple initiatives while managing timelines, feedback loops, and evolving priorities.
Stay current with industry best practices in UX/UI, accessibility, and responsive design
Manage multiple design initiatives simultaneously, adapting quickly to shifting priorities and tight timelines in a fast-paced environment.
What do you need to succeed in this role?
Excellent communication, collaboration, and stakeholder management skills, with the ability to present and defend design decisions effectively in English.
Proven track record of creating user-centric designs that drive engagement, conversion, and measurable business outcomes.
5+ years of experience in Product Design, UX/UI Design, with experience leading complex design initiatives.
Strong experience in:
Creating and analyzing user personas, customer journeys, wireframes, and interactive prototypes.
Building user flows, translating requirements into design solutions, and working closely with Product and Engineering teams throughout the delivery lifecycle.
Conducting user research, usability testing, and applying data-driven insights to improve product experiences.
Advanced proficiency in design and prototyping tools (Figma preferred; experience with other design tools is a plus).
Solid front-end development experience with the ability to prototype, validate and collaborate effectively with engineering teams.
Previous experience designing and delivering mobile-first and responsive web experiences.
Strong interest in AI-powered product development and experience leveraging AI tools to accelerate research, ideation, prototyping, content generation, and design workflows.
Ability to help establish and drive AI-enabled design practices within the Product Design team, identifying opportunities to improve efficiency, quality and innovation through AI.
Experience creating and maintaining scalable design systems and reusable component libraries.
Ability to mentor other designers and contribute to the growth of design processes, standards, and culture.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “
Employee Training & Development program”.
Medical Insurance Cover
, which includes Outpatient, Inpatient, and Dental Care.
Multiple
events
to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our
Provident Fund Scheme.
Birthday and Loyalty
benefits
.
Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Task Assessment
Technical Interview or home assignment
Final interview with top management
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior AI/ML Engineer (AI Lead)
to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The Senior AI/ML Engineer (Applied AI Lead) will have the chance to:
• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.
• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact.
• Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.
• Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.
• Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.
• Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.
• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.
• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.
• Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.
• Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.
What do you need to succeed in this role?
• 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation).
• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).
• Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).
• Hands-on experience with large-scale data processing (Spark / PySpark).
• Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.
• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.
• Strong SQL skills and experience working with large, complex datasets in real-world environments.
• Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.
• Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.
• Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.
The below are considered as a plus:
• Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.
• Experience with real-time or streaming ML systems.
• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.
• Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).
• Experience contributing to team standards, mentoring, or leading applied AI delivery.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Senior AI/ML Engineer (AI Lead)
to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The Senior AI/ML Engineer (AI Lead) will have the chance to:
• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.
• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact.
• Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.
• Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.
• Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.
• Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.
• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.
• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.
• Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.
• Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.
What do you need to succeed in this role?
• 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation).
• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).
• Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).
• Hands-on experience with large-scale data processing (Spark / PySpark).
• Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.
• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.
• Strong SQL skills and experience working with large, complex datasets in real-world environments.
• Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.
• Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.
• Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.
The below are considered as a plus:
• Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.
• Experience with real-time or streaming ML systems.
• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.
• Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).
• Experience contributing to team standards, mentoring, or leading applied AI delivery.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “
Employee Training & Development program”.
Medical Insurance Cover
, which includes Outpatient, Inpatient, and Dental Care.
Multiple
events
to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our
Provident Fund Scheme.
Birthday and Loyalty
benefits
.
Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Task Assessment
Technical Interview or home assignment
Final interview with top management
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Malaysia
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 5 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech experience is preferred
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Munich, Germany; Berlin, Germany
What Client look for:
You help clients unlock the full potential of their data strategy, by combining strategic thinking, hands-on implementation, and close collaboration with clients and internal teams.
You advise leading companies on the organizational and technical optimization of data management.
You support change management and data strategy initiatives to ensure sustainable success.
You design and implement data strategies, architectures, and scalable data processes.
You work closely with clients to co-create pragmatic and impactful solutions that drive digital transformation.
You develop innovative data products that create real business value.
You conduct data analyses and visualizations to uncover insights and identify improvement opportunities.
You facilitate workshops, perform process assessments, and deliver tailored training sessions.
You contribute to developing best practices, innovative solutions, and continuously challenge the status quo.
Requirements
What the client requires:
You hold a completed university degree with excellent academic performance in Computer Science, Data Science, Information Systems, or a related field.
You have gained first professional experience in data management, analytics, or digital transformation consulting.
You possess strong knowledge of SQL and Python as well as hands-on experience with cloud platforms such as AWS, GCP, or Azure.
You are familiar with visualization tools such as Power BI, Tableau, or Looker, as well as modern data platforms.
You demonstrate excellent communication and presentation skills and are able to convey complex topics in a clear and practical manner.
You bring a proactive, service-oriented mindset and stand out through a high level of ownership and commitment.
You feel comfortable working in a collaborative and agile environment where you can fully develop your potential.
You are fluent in English; additional local language skills are a plus.
Benefits
What you can expect:
Your impact is crucial
: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
Your hard work pays off!
You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
Your development - client concern:
From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company, and you will become a digital leader!
Your working environment:
You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin.
Your view into the future:
You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
Your benefits on top:
You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.
Location: South Africa; Egypt; Ethiopia; Morocco; Jamaica; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a fast-growing cybersecurity firm specializing in the intersection of AI governance and advanced threat protection. Operating as both a strategic partner for enterprise CISOs and a go-to-market engine for security startups, the team provides a sophisticated suite of solutions including agentic workflow security, browser-based GenAI DLP, and automated pentesting. They focus on helping organizations across the UK and Europe navigate the modern threat landscape by implementing guardrails for emerging technologies while streamlining compliance for frameworks like DORA and ISO 27001.
This innovative company bridges the gap between cutting-edge security technology and real-world enterprise needs. By vetting and deploying elite solutions—ranging from deception-based honeypots to intent-based email security—the team ensures businesses remain resilient against next-gen risks. With a high-performance culture centered on hands-on execution and technical excellence, they offer a unique environment where employees can work at the forefront of AI security and European market expansion.
Job Summary
As enterprises rush to deploy GenAI and agentic AI workflows, the need for robust security has never been higher. This company acts as the specialist bridge between cutting-edge AI security innovators and the global enterprises that need them. We are looking for a high-energy, independent Mid-Level SDR to join a growth-stage team with established processes. This is a high-volume, high-reward role designed for someone who thrives on the phones and wants to transition into a closing role within 4 to 6 months.
Key Responsibilities
Execute high-volume outbound prospecting, making 100-300 calls daily via a dedicated dialing platform.
Identify and qualify new business opportunities to maintain a target of 7 qualified meetings per week (minimum 20 completed meetings per month).
Own the front-end of the sales cycle, including lead sourcing, territory planning, and pipeline management.
Utilize LinkedIn Sales Navigator and Microsoft Office to research and engage key decision-makers in the cybersecurity and AI space.
Manage a territory independently, ensuring a consistent flow of qualified leads for the sales team.
Requirements
Experience:
Proven track record in SaaS or Tech sales.
Skills:
Expertise in lead sourcing, qualification, and territory planning.
Tools:
Mastery of Microsoft Office and LinkedIn Sales Navigator is a must.
Communication:
Fluent in English with strong verbal and written communication skills.
Driven Personality:
A self-starter who is comfortable with high-volume dialing and performance-led targets.
Nice-to-Haves
1+ year of previous SDR experience with demonstrable success metrics, ideally within the cybersecurity sector.
Familiarity with Apollo.io.
Multilingual capabilities in German, Spanish, or French.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Yerevan, Armenia
Description
We are seeking an experienced Senior Business Data Analyst to lead analytical initiatives within our Partner Performance Analytics Team.
This role plays a critical part in driving partner success through advanced business analysis, strategic recommendations, performance optimization, and cross-functional collaboration.
The successful candidate will act as a trusted business partner for senior stakeholders, helping shape strategic decisions through data-driven insights and deep understanding of the iGaming business ecosystem.
Responsibilities
Lead analysis of partner performance, profitability, retention, and business growth opportunities
Own and continuously improve the analytical framework used to evaluate partner success
Analyze the effectiveness and ROI of bonus campaigns, promotional mechanics, loyalty initiatives, and retention activities
Identify business risks, performance bottlenecks, and emerging trends across partner portfolios
Deliver strategic recommendations that improve partner engagement, player value, retention, and profitability
Design and develop advanced dashboards, KPI frameworks, and performance monitoring systems
Conduct deep-dive investigations into business issues and provide root-cause analysis
Support senior management with decision-making through analytical insights and business cases
Mentor junior analysts and contribute to the development of analytical standards within the team
Requirements
4+ years of experience in Business Analytics, Commercial Analytics, Business Intelligence, Performance Analytics, or related fields
Strong experience within iGaming, Sportsbook, Online Casino, or Retention Analytics environments
Advanced SQL expertise
Advanced proficiency in Power BI
Strong experience with KPI design, performance measurement, forecasting, and business performance management
Proven ability to transform analytical findings into strategic business recommendations
Experience working directly with senior stakeholders and decision-makers
Strong understanding of business drivers, profitability metrics, and customer lifecycle analytics
Upper-Intermediate or higher English level
Deep understanding of iGaming KPIs including GGR, NGR, Bonus Cost, Retention, Churn, ARPU, ARPPU, LTV, CPA, ROI, and Player Segmentation
Experience with predictive analytics, forecasting, and statistical modeling
Knowledge of Python is a plus
Experience leading analytical initiatives or mentoring analysts
Excellent communication and presentation skills
Ability to explain complex analytical findings to non-technical audiences
Ability to challenge assumptions and drive data-driven decision-making
Strong business partnering mindset
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.
This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.
WHAT YOU'LL DO
- Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.
- Define and maintain core metrics that create a shared understanding of product performance and customer value.
- Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
- Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.
- Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.
- Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.
- Translate complex analyses into clear recommendations for technical, business, and executive audiences.
- Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.
- Establish the standards, practices, and culture for Product Data Science at Harvey.
WHAT YOU HAVE
- 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
- A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.
- Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.
- Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.
- Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.
- Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.
- Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.
Bonus
- Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
- Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.
- Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.
- Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.
COMPENSATION
$155,000 - $260,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-SB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Chicago
Cumberland - a DRW Company
, is the cryptoasset arm of DRW, established in 2014 after pursuing an early interest in cryptoassets and their underlying technologies. Today, Cumberland is a global leader in cryptoassets, uniquely positioned between the traditional financial markets and the cryptoasset ecosystem. From our offices in Chicago, London and Singapore, Cumberland provides 24-hour access to a wide array of cryptoassets while helping the crypto ecosystem evolve in a responsible, sustainable way.
We are looking for a
Blockchain Strategy Analyst
to join Cumberland’s blockchain product development team. You will use your understanding of blockchain and finance to develop strategies that expand our customer base and enhance our market presence on the Canton Blockchain.
What you will do in this role:
Gather and analyze information across multiple data sources to arrive at actionable recommendations across many different areas of business, including operations, and technology
Assist BD and management to execute on strategic growth opportunities, including economic model design and evaluation for strategic partnerships
Work cross-functionally to understand feasibility of new business initiatives and design processes to support
Work closely with product managers and engineers to design, develop and deliver best-in-class technology solutions that deliver meaningful business value
Conduct market research and gather user feedback to identify user needs, market trends, and competitive landscape
Communicate requirements, domain expertise, and big picture concepts to technical teams
Act as liaison between DRW business stakeholders and engineering teams to identify and resolve issues arising with new initiatives
Ensure that any technology implementation meets stated business requirements
Manage prioritization of new products / initiatives for the business
What is needed in this role:
5+ years of experience analyzing and translating business needs to create product requirements
Familiarity with data systems and software development practices
Proven leadership abilities; a self-starter who can work independently to drive results across several teams
Excellent communication and interpersonal skills; ability to tailor communications to different audiences as needed and ability to communicate at all levels within the organization
Strategic thinking; ability to synthesize team requests and industry trends
Strong business acumen; analytical and problem-solving skills necessary to identify trends and root issues and recommend solutions that support the company’s business objectives
Strong organizational and presentation skills; professional demeanor
Strong financial modeling experience
Preferred Qualifications:
Python programming skills with experience exploring large datasets is a plus
Strong understanding of blockchain technology and its applications, as well as the web3 ecosystem.
Experience with decentralized finance (DeFi) protocols and applications.
The annual base salary range for this position is $125,000 to $200,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-SK1
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution — including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams.
Key responsibilities
Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements
Propose and develop scalable solutions to improve contracting efficiency
Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency
Collaborate with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel
Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams
Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute
Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute
Minimum qualifications
Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms
Ability to independently draft, review, and negotiate complex commercial and procurement contracts
Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships
Preferred qualifications
8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organizations, and/or partnerships
Experience operating in a fast-paced technology startup where priorities shift rapidly and schedules "move to the left"
Prior experience as part of a global or distributed legal team, including partnering with colleagues across regions and navigating the nuances of aligning local needs with centralized priorities
A track record of operating with a high degree of autonomy while keeping global stakeholders appropriately informed — comfortable setting your own cadence and exercising sound judgment about when to escalate versus when to decide
Strong habits around async communication, proactive status updates, and operating effectively with a remote manager across time zones
An understanding of what's important in the context of a contract and the organization's mission, including when to be flexible and when to draw a hard line
A knack for identifying and implementing efficient processes and policies
A preference for straightforward, concise explanations over legalese and overwrought drafting
Comfort operating outside your areas of expertise and in uncharted legal territory
The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building
Excellent verbal and written communication, analytical, collaboration, and interpersonal skills
Authentic integrity and a deep understanding of the importance of ethics in business
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£140,000
—
£180,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
About the company:
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
About The Role:
In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field.
With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities of this position include:
Technical execution
Design, develop, and deploy new mineral exploration data collection instruments and methods.
Help develop KoBold’s proprietary software exploration tools.
Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.
Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods
Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries
Qualifications
Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.
Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.
A successful track record of developing complex equipment with cross-disciplinary teams and vendors.
Technical skills, including extensive experience with:
Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity.
Applying scientific knowledge to identify and prototype emerging technologies
Systems integration and data acquisition.
Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
SQL, as well as familiarity with non-relational databases.
Cloud computing resources.
Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.
Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems.
Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources
Experience deploying sensors in the field
Work practices and motivation:
Ability to take ownership and responsibility of large projects.
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.
Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
Ability to independently prioritize multiple tasks effectively.
It is also helpful but not required to have experience with:
Remote sensing
Creating machine learning models on geospatial data
Image processing or computer vision
Project and team management
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.
This position is Full-time Exempt
Salary is one part of KoBold’s total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave."
Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.
Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.
Location: Germany (remote); Portugal (remote); Italy; Spain (remote); Ireland (remote); Berlin Office; United Kingdom (remote); Madrid
Workplace: Remote
MÖCHTEST DU DAS LEBEN VON MILLIONEN UNTERNEHMER IN EUROPA VERÄNDERN?
Du möchtest echten Impact haben und die Zukunft von Finanzen und Buchhaltung in Europa mitgestalten? Du fühlst dich in einem dynamischen Umfeld wohl, das auf Vertrauen, Eigenverantwortung und Geschwindigkeit setzt? Und unsere Design-Prinzipien entsprechen deiner Vorstellung von großartigen Nutzererlebnissen?
Dann könnte Pennylane genau der richtige Ort für dich sein – und du genau die richtige Person für diese Rolle.
UNSERE VISION
Wir bauen das beliebteste Financial Operating System für kleine und mittelständische Unternehmen in Europa.
Unser Ziel ist es, Unternehmer von zeitaufwendigen Aufgaben rund um Buchhaltung und Finanzen zu entlasten und ihnen gleichzeitig Zugang zu den wichtigsten Finanzinformationen zu geben, damit sie bessere Entscheidungen für ihr Unternehmen treffen können.
Gleichzeitig unterstützen wir Steuerkanzleien dabei, weniger Zeit für repetitive Aufgaben aufzuwenden und sich stärker auf die Beratung und Betreuung ihrer Mandant zu konzentrieren.
Bereits heute nutzen mehr als 1.000.000 kleine und mittelständische Unternehmen sowie über 6.500 Steuerkanzleien Pennylane in Frankreich.
ÜBER UNS
Pennylane gehört zu den am schnellsten wachsenden FinTechs in Frankreich – und bald auch in Deutschland.
In nur fünf Jahren haben wir:
- uns als innovative Accounting- und Finanzplattform für Unternehmen und Steuerkanzleien etabliert,
- insgesamt 150 Millionen Euro Kapital eingesammelt – unter anderem von Sequoia, dem renommierten Silicon-Valley-Investor hinter Unternehmen wie Google, Facebook, Airbnb, Stripe und PayPal,
- unser Team von 7 Gründer auf über 1.100 Pennylaners ausgebaut,
- eine internationale Unternehmenskultur mit mehr als 25 Nationalitäten geschaffen,
- eine starke Remote-First-Kultur etabliert, in der bereits rund 30 % unserer Mitarbeitenden von überall in Europa arbeiten,
- das Vertrauen tausender Kund und Steuerkanzleien gewonnen und hervorragende Bewertungen erhalten.
Heute gelten wir mit einer Glassdoor-Bewertung von 4,6/5 als einer der attraktivsten Arbeitgeber Europas.
PENNYLANE DEUTSCHLAND
Innerhalb von nur 1,5 Jahren ist unser Deutschland-Team von einer einzelnen Squad auf über 40 Mitarbeitende in den Bereichen Product, Engineering, Sales, Customer Success und Marketing gewachsen.
Unser Ziel ist es, Pennylane als festen Bestandteil des deutschen Marktes zu etablieren. Gemeinsam mit innovativen Steuerberater und Unternehmen entwickeln wir unser Produkt für die Anforderungen des deutschen Marktes weiter und verändern nachhaltig die Art und Weise, wie Buchhaltung und Finanzen in Deutschland funktionieren.
Als eigenständiger Markt profitieren wir von der Unterstützung unserer französischen Teams und genießen gleichzeitig große Freiheiten bei der Gestaltung unserer Ziele, Strukturen, Prozesse und Produkte.
DESIGN BEI PENNYLANE
Design steht im Zentrum unserer Mission. Unser Anspruch ist es, Nutzer ein nahtloses, zugängliches und begeisterndes Produkterlebnis zu bieten.
Unser Design-Team besteht aus über 40 Product Designer, die in interdisziplinären Squads eng mit Product und Engineering zusammenarbeiten.
Autonomie, Vertrauen und Transparenz bilden das Fundament unserer Unternehmenskultur und prägen den Arbeitsalltag unserer Designer.
Bei Pennylane beschränkt sich Design nicht auf die Gestaltung von Interfaces. Designer begleiten den gesamten Prozess – von der Definition des Problems über Research und Testing bis hin zur Umsetzung der Lösung.
DEINE ROLLE
Wir suchen eine Product Designer mit fundierter Erfahrung im B2B-Produktdesign, um die Weiterentwicklung unseres Produkts in Deutschland aktiv mitzugestalten.
Wenn du gerne reale Nutzerprobleme löst, in einem kollaborativen Umfeld arbeitest und ein echtes Interesse daran hast, Nutzerverhalten und Geschäftsziele zu verstehen, wirst du bei Pennylane viele Gleichgesinnte finden.
DAS BRINGST DU MIT
- Du verstehst sowohl Nutzerbedürfnisse als auch Business-Anforderungen und kannst Erkenntnisse aus User Research, Marktanalysen und Daten in pragmatische Lösungen übersetzen.
- Du hast Erfahrung mit komplexen digitalen Produkten und Systemen, beispielsweise mit mehreren Modulen, umfangreichen Funktionen oder komplexen Datenstrukturen.
- Du arbeitest eng mit Entwickler, Product Manager und weiteren Stakeholdern wie Sales oder Support zusammen und kannst technische Rahmenbedingungen sowie Business-Ziele in deine Arbeit integrieren.
- Du kommunizierst klar, hinterfragst bestehende Annahmen konstruktiv und kannst deine Lösungsansätze überzeugend vertreten.
- Du sprichst fließend Deutsch und Englisch. User Interviews werden regelmäßig auf Deutsch durchgeführt.
WAS DICH BEI PENNYLANE ERWARTET
INNERHALB DES ERSTEN MONATS
- Du lernst unser Unternehmen, unsere Teams und unsere Vision während des Onboardings kennen.
- Du erhältst einen tiefen Einblick in unser Produkt sowie die Welt der Buchhaltung und Finanzen.
- Du machst dich mit unserer Product- und Design-Organisation, unseren Methoden und unserer Kultur vertraut.
- Du lernst die Menschen kennen, mit denen du täglich zusammenarbeiten wirst – sowohl innerhalb des Deutschland-Teams als auch im internationalen Umfeld.
INNERHALB DER ERSTEN DREI MONATE
- Du führst Discovery-Workshops und User Research durch und analysierst Daten, Nutzerfeedback und Business-Anforderungen.
- Gemeinsam mit deinem Product Manager verantwortest du die kontinuierliche Weiterentwicklung deines Produktbereichs.
- Du entwickelst Lösungen in der passenden Detailtiefe – von ersten Konzepten bis hin zu High-Fidelity-Prototypen.
- Du bringst deine Erfahrung aktiv ins Team ein, gibst Feedback an Kolleg und arbeitest an bereichsübergreifenden Themen mit.
INNERHALB DER ERSTEN SECHS MONATE
- Du unterstützt aktiv beim Ausbau unseres Teams und wirkst im Recruiting-Prozess mit.
- Du beobachtest aktuelle UX- und UI-Trends und bringst Best Practices aus der internationalen Tech-Welt ein.
UND DARÜBER HINAUS
Sowohl unser Design-Team als auch unsere Aktivitäten in Deutschland werden weiter wachsen.
Das bedeutet für dich:
- Möglichkeiten, neue Designer einzustellen, zu coachen und perspektivisch zu führen.
- Mehr Verantwortung für strategische Projekte.
- Die Chance, Prozesse, Tools und Best Practices aktiv mitzugestalten und weiterzuentwickeln.
DAS BIETEN WIR DIR
- Arbeite aus unserem Büro im Herzen Berlins, aus unserem Standort in Hamburg, aus unseren Büros in Paris oder aus jedem WeWork-Standort in Europa.
- Bei einem Full-Remote-Vertrag erhältst du ein Budget für dein Home Office sowie einen monatlichen Zuschuss für Coworking-Spaces.
- Zusätzlich zu 25 Urlaubstagen erhältst du jährlich zwischen 8 und 13 weitere freie Tage.
- Zugang zu Busuu, um dein Englisch zu verbessern oder eine neue Sprache zu lernen.
- Modernste Apple-Hardware für deinen Arbeitsalltag.
- Eine lebendige Community mit gemeinsamen Sportaktivitäten wie Fußball, Laufen oder Klettern.
- Regelmäßige Team-Events, After-Work-Abende und unsere beliebten Rooftop-Drinks in Berlin.
- Ein jährliches Company Offsite – zuletzt waren wir gemeinsam im Center Parcs und hatten eine großartige Zeit.
UNSER BEWERBUNGSPROZESS
1. Portfolio Review
2. Erstgespräch mit Sonia oder Barbara (Technical Recruiting) – 30 Minuten
3. Interview mit zwei Mitgliedern unseres Design-Teams – 45 bis 60 Minuten
4. Take-Home Assessment inklusive Präsentation und Review mit zwei weiteren Designer – 60 Minuten
5. Finales Gespräch mit unserem Chief Product Officer und dem Head of Product Germany – 60 Minuten
VIELFALT UND CHANCENGLEICHHEIT
Bei Pennylane fördern wir Vielfalt in all ihren Formen und schaffen ein inklusives, wertschätzendes und erfüllendes Arbeitsumfeld – sowohl im Büro als auch remote.
Wir bieten allen Bewerber die gleichen Chancen – unabhängig von Herkunft, Nationalität, Geschlecht, Religion, sexueller Orientierung, Alter oder Behinderung.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
Location: United States (Remote)
Workplace: Remote
DIRECTOR OF ENGINEERING, COMPUTE
Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows, and more than a third of the pull requests its users merge now come from those agents. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on.
The Compute team owns the layer all of that runs on. We are looking for a Head of Engineering to lead the effort to make any aspects of Temporal's compute invisible to our customers, allowing them to focus on application layer innovation, while we handle the compute muck. This is a rare, build-the-foundation mandate: the compute substrate that the world's most demanding AI workloads will run on. We want a leader who has operated compute at planet scale, thinks in fleets, goodput, and cost-per-unit-of-compute, and pairs that with the operational rigor to run a service that frontier-AI companies bet production on.
WHAT YOU'LL DO
- Strategic direction for Compute: Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations. Build a culture of ownership, quality, and customer-first decision-making.
- Technical leadership: Lead, hire, and grow a high-ownership team; roll up sleeves, ready to do deep into the trenches, by staying close to design docs and code, rather than managing from a distance. Coach engineers, level them up, and clear the friction that slows them down.
- Roadmap & trajectory: Drive the arc from today's compute toward the next-generation of compute platforms. Ground prioritization in customer and design-partner feedback, and turn ambiguous, fast-moving requirements into predictable, iterative delivery.
- Operational excellence: When you run frontier AI in production, reliability is the product. Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence.
- Technical depth: Guide the hard architectural decisions for large-scale, multi-tenant compute, where technical concerns cut across workload isolation and security, scheduling, fleet efficiency / utilization / goodput, and performance, while ensuring the platform is reliable and efficient for the workloads that depend on it.
- Capacity, supply & economics: Own utilization, capacity and supply planning, and the cost-per-unit-of-compute and margin profile of the fleet, across CPU compute today and accelerated compute ahead.
- Cross-team & customer execution: Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery. Communicate progress, tradeoffs, and risk clearly to technical and non-technical audiences alike.
WHAT YOU'LL BRING
- Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices.
- 15+ years in software and/or infrastructure engineering, including 10+ years of people management and demonstrated ownership of delivery and live-site outcomes.
- Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance.
- Experience operating multi-tenant compute that other people's production workloads depend on.
- Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
- Excellent communication skills, with the ability to partner across engineering, product, and leadership and fold customer feedback into the roadmap.
- Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team.
- Excellence in execution: planning, prioritization, and delivering iterative milestones in an ambiguous, fast-moving environment while managing unplanned work.
- Fleet thinking: utilization, goodput, capacity and supply planning, and cost discipline as first-class engineering concerns.
- Live-site reliability craft: on-call, incident management & response, and postmortem-driven continuous improvement.
- Strong command of the building blocks of a compute platform: multi-tenant isolation and security, scheduling, and resource management.
- Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase.
NICE TO HAVE
- MicroVMs and virtualization (Firecracker, gVisor, Edera) or managed-compute primitives (AWS Fargate, GCP Cloud Run, AWS Lambda), and/or Kubernetes internals.
- Building serverless or hosted-compute products from 0 to 1, including the rapid-delivery-vs-durable-platform tradeoffs that come with it.
- Multi-cloud delivery across AWS and GCP.
- Cold-start, warm-pool, and scheduling/latency optimization for on-demand compute.
- Agent sandboxes, secure execution of untrusted code, or other AI-agent infrastructure.
- GPU / accelerated compute: fractional GPUs (MIG, MPS, time-slicing), GPU scheduling, training vs. inference fleets, and multi-tenant GPU isolation.
---
The ideal candidate is a strategic thinker with a hands-on approach, energized by building the compute foundation the AI era runs on. They are comfortable shaping a space that doesn't fully exist yet, obsessed with reliability when customers bet production on it, default to working backwards from customers, and balance the speed to ship 0-to-1 against the durable design a planet-scale platform demands.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Cyprus
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