Location: Belgrade; London; Berlin
Workplace: Hybrid
Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective.
We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work.
RESPONSIBILITIES
- Push search and agent quality forward through improvements to models, training data, tools, and system design.
- Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion.
- Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively.
- Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps.
- Improve retrieval and ranking models and the search interfaces agents use to find and assess information.
- Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements.
- Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost.
- Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production.
QUALIFICATIONS
- A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems.
- Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems.
- Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements.
- Comfort with open-ended problems that require both research judgment and hands-on engineering.
- A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system.
NICE TO HAVE
- Experience with training models to use tools or complete tasks over many steps.
- Multi-agent training, coordination, or evaluation.
- Building agent harnesses, distributed training systems, or scalable inference infrastructure.
- Large-scale retrieval, ranking, or recommendation systems.
Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
We are seeking an experienced Internal Audit Manager with forensic investigation experience to join our global internal audit function. This role will be responsible for leading end-to-end business audit engagements across business functions, as well as conducting fraud investigations and whistleblower cases.
The ideal candidate will combine strong audit fundamentals with investigative rigour — capable of both evaluating control environments and tracing irregularities to their root cause. Deep knowledge of financial services, cryptocurrency, or fintech is highly valued.
Business Audit
Plan and execute end-to-end risk-based audit engagements across operational, financial, and business functions
Evaluate the design and operating effectiveness of internal controls, identifying control gaps, policy violations, and process inefficiencies.
Draft high-quality audit reports that clearly communicate findings, root causes, business impact, and actionable recommendations to management and the Board.
Monitor remediation progress and drive timely closure of audit issues.
Forensic Investigation
Lead or support fraud investigations, ethics violations, and whistleblower cases — including evidence collection, interview planning, and forensic analysis of financial transactions.
Conduct deep-dive analyses of suspicious activities, tracing transaction flows, identifying anomalous patterns, and documenting evidence for management action
Prepare investigation reports suitable for management decision-making, disciplinary proceedings, or regulatory disclosure.
Collaborate with Legal, HR, and Compliance on sensitive investigations, maintaining strict confidentiality and chain-of-custody protocols.
Collaboration & Advisory
Partner with Compliance, Risk, Finance, and business teams to strengthen the control environment proactively.
Provide advisory input on policy design, process improvements, and anti-fraud controls.
Requirements
Bachelor's degree in Accounting, Finance, Law, Business Administration, or related field.
CPA, CIA, CFE (Certified Fraud Examiner), or equivalent certification preferred.
Minimum 6 years of experience in internal audit, forensic investigation, or compliance within financial services, fintech, or cryptocurrency sectors.
Demonstrated experience conducting fraud investigations or forensic reviews, including evidence handling, interview techniques, and report writing.
Strong understanding of internal control frameworks, risk management practices, and IIA auditing standards.
Knowledge of cryptocurrency exchange operations, blockchain, and related regulatory frameworks is a strong plus.
Detail-oriented with excellent analytical and critical thinking skills.
Effective communication skills (written and verbal) with the ability to present complex findings clearly to senior management.
Proficient in Chinese and English for business usage.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: US - Remote - Massachusetts , US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
The Services Architect is an advanced individual contributor within the Services Architecture team, contributing to the technical direction, quality, and delivery of content across the Professional Services Portfolio. Operating with a high degree of autonomy while aligning with the overarching portfolio strategy, this role leads the design and execution of net-new consulting service offerings, courses, and enablement programs, and helps establish standards for the broader team. In this position, the architect provides technical guidance across team projects, handles content and offering escalations, and actively mentors Associate Services Architects. Working in close collaboration with portfolio leadership, the role supports offering strategy and product roadmap alignment, while periodically teaching customer classes or delivering service engagements to ensure content remains grounded in real-world customer experience.
Your Opportunity:
Strategy & Portfolio Leadership
Portfolio Direction:
Shape the Professional Services Portfolio by identifying gaps and opportunities and proposing and prioritizing new offerings aligned with corporate strategy and product roadmaps.
Offering Ownership:
Design, draft, and update consulting service offerings, enablement content, educational material, and technical presentations for webinars and events, and lead development of the most complex and strategic net-new offerings.
Standards & Quality:
Maintain high technical, content, and lab quality standards across the portfolio, ensuring that project outputs and contributions, including work from Associate Services Architects, consistently adhere to established team standards and templates.
Roadmap Alignment:
Stay informed about Tenable product changes, evaluate requirements for offering updates, and plan portfolio updates well ahead of product release.
Advisory:
Advise the Senior Director, Services Portfolio, on offering strategy, resourcing, and delivery risk.
Content Development & Delivery
Requirements Review:
Review user and technical requirements for completeness and clarity.
Collateral:
Create collateral for new offerings and evaluate existing offerings and content for accuracy and relevance.
Pre-Production Training:
Deliver pre-production training sessions to evaluate product suitability and gather early feedback.
Live Demonstrations:
Create live demonstration recordings for the Tenable product suite.
Content Review:
Perform content reviews with peers in Services, Technical Support, Customer Success, and Product Management to ensure quality and alignment with customer needs, and act as the final technical approver for release.
Customer Experience:
Periodically teach customer classes or deliver service engagements to obtain intimate knowledge of the customer experience.
Strategic Engagement & Support
Field Perspective:
Collaborate with Professional Services peers to understand the field perspective on service and training offering requirements.
Customer & Partner Engagement:
Engage with customers and partners to analyze market trends and the competitive landscape, and translate findings into portfolio decisions.
Problem Solving:
Provide solutions to a wide range of difficult problems while maintaining a positive attitude and positive working relationships, gathering information to support data-driven decisions.
Escalation Support:
Act as the final escalation point for Customer Care, Services, and Product escalations relating to portfolio content that the Associate Services Architect cannot resolve.
Staying Current:
Remain abreast of corporate direction and strategy, product roadmaps, messaging, and emerging trends in the security industry.
Project, People & Process
Delivery Oversight:
Independently manage assigned projects and provide delivery oversight of team members’ projects to ensure delivery on schedule and on budget.
Mentoring:
Mentor and develop Associate Services Architect colleagues, including setting expectations for the Associate role’s intake and review.
Process Improvement:
Remain abreast of educational learning frameworks, content development approaches, and technologies that may reduce cost or shorten development timelines, and drive adoption where they do.
Other Duties:
May perform other duties and responsibilities that management may deem necessary from time to time.
What You'll Need:
Experience
Security Foundations:
5+ years of overall experience in Information Security.
Vulnerability Management & Cybersecurity:
1+ years of experience in vulnerability management and broader cybersecurity operations, ideally utilizing enterprise assessment tools such as the Tenable product suite.
Services Experience:
3+ years of professional services, technical support, or sales engineering experience.
Curriculum Design:
Proven experience designing and delivering technical curricula, training, and customer enablement programs, as well as leading others to do so.
Knowledge and Education
Education:
B.S. degree in Computer Science or a related field preferred; equivalent experience considered.
Technical Depth:
In-depth knowledge of Windows and Linux operating systems and of TCP/IP networking.
Emerging Domains:
Working knowledge of web application security, container security, cloud environments (AWS/Azure), and ICS/SCADA systems, with in-depth expertise in at least one.
Security Tools:
Familiarity with security assessment tools such as Nessus, Kali Linux, and Metasploit.
Other Requirements
Communication:
Strong written and verbal communication skills, including the ability to present to senior internal and customer audiences.
Collaboration:
Strong interpersonal skills with the ability to work effectively with internal and external stakeholders, including at a senior level.
Autonomy:
Strong initiative and the ability to work remotely, both in a self-directed manner and as part of a geographically distributed team, setting direction for others without day-to-day supervision.
#LI-Hybrid
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$145,000
—
$193,666.67 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: New Hampshire
Workplace: hybrid
About Lyra
Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates.
About the Opportunity
Lyra’s provider network is composed of in-person and virtual therapists, physicians, and coaches across the US. With our advanced matching technology, supportive provider platform, and opportunities for training and clinical consultation, being part of our network is an incredible chance to do what you love (like patient care) with support for the things you don’t love (like self promotion and scheduling).
We are looking for contract psychiatrists who are passionate about whole-person, whole family mental health care and working within a connected network to provide patients with easily accessible, culturally responsive, high-quality mental health care.
As a contract psychiatrist, you’ll provide evidence-based treatment via live 60-minute video intake appointments and regular follow-up appointments. You'll conduct psychiatric evaluations and provide medication management. Lyra makes it easy to refer patients to evidence-based therapy and coaching services in tandem with your care.
You will provide care to individuals from a multitude of different backgrounds and experiences, as well as those with varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally-responsive care—an approach that is mindful of the impact of cultural background on each person’s care experience.
Responsibilities:
Practice comprehensive mental health medication management via a 60-minute intake appointment and regular follow-up appointments
Conduct mental health risk assessments, psychiatric medication evaluations, and longitudinal medication treatment
Construct patient-centered treatment plans, document treatment recommendations, message patients, and prescribe and manage psychiatric medications
Experience and commitment to providing, evidence-based medication treatment that follows clinical best practice guidelines (e.g., measurement based care, patient-centered care
Requirements:
Board certified MD or DO in psychiatry
Unrestricted state license
Strong preference for clinicians with an active DEA license
Must have office space with ability to see clients in New Hampshire
Ability to provide care to patients with a full range of diagnoses, clinical complexity, and severity levels, with a preference for providers who offer in-person options
Authorized to work in the U.S.
Here are some of the advantages of joining the Lyra provider network:
Set your own schedule without a minimum hours requirement
Focus less on the administrative burden of billing with Lyra’s paperless billing and quick payment turnaround
Access to a custom-built calendar for new patients to connect seamlessly
Access to experienced clinical consultations to get rapid support with your patients as well as access a range of specialty group consultation meetings
Have peace of mind with Lyra’s 24/7 Care Navigation team for client crisis support
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.
Location: Bergen County, NJ
About Us
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today!
Ennoble Care is seeking a Full-time, preferred experienced Community Liaison for our Bergen County, NJ regions!
The House Calls Community Liaison will be responsible for interaction in the community and promoting company services.
Responsibilities:
Analyze the potential of the company's service area to determine target markets.
Visit Doctor' offices, hospitals, Assisted Living facilities, Skilled Nursing Facilities and other possible sources of referrals to present Agency credentials and obtain patient referrals.
Analyze the company's organization to determine its strengths and weaknesses.
Analyze past and current marketing data.
Complete an analysis of the company's "product" line.
Analyze patient/company relationships.
Develop sales/marketing objectives and sales projections.
Develop a marketing plan, identifying priorities and sets a reasonable timetable.
Implement marketing plan staying within established timetable.
Review and evaluate the analyses and plan on an established basis.
Attend IDG meetings, as appropriate.
Assist office staff as needed with going to updates, etc.
Provide community outreach and education.
Job Qualifications
At least 3 years experience in marketing, nursing or social work interacting with health agencies/professionals.
Must be fluent in both English and Spanish
Must be organized and detail oriented.
Must be able to communicate effectively orally and in writing.
Must be a licensed driver with an insured automobile in good working order.
Base Salary: $50,000 - $95,000, Plus: Monthly, Quarterly, and Annual Bonuses
Full-time employees qualify for the following benefits:
Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
Paid Time Off
Paid Office Holidays
All employees qualify for these benefits:
Paid Sick Time
401(k) with up to 3% company match
Referral Program
Payactiv: pay-on-demand. Cash out earned money when and where you need it!
Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against
protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national
origin, religion, disability, and veteran status.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Trader — Equities & Derivatives
We’re looking for an early-career trader with fewer than five years’ experience who is currently working at a bank, market maker or buy-side firm.
We’re open to a broad range of trading backgrounds. We believe a strong trader can learn new products and strategies, so we place more weight on judgement, analytical ability and curiosity than on experience in a particular market.
The role
You’ll help identify, evaluate and execute trading opportunities, manage risk and develop ideas across equities and derivatives. The precise remit will reflect your strengths and evolve as you build experience.
Your responsibilities will include:
Analysing market moves, positioning and catalysts to generate trading ideas.
Executing trades and managing positions within agreed risk limits.
Monitoring exposures, performance and changing market conditions.
Developing tools and research to improve trading decisions.
Working closely with the team to learn new products and strategies.
Your background
You should currently be in a trading role, with fewer than five years’ professional experience. Relevant backgrounds include one or more of:
Single-stock volatility.
Delta One or dividend trading.
Index volatility.
Exotic derivatives.
Dispersion strategies.
Event-driven or special situations strategies.
Index rebalancing.
We welcome candidates from banks, market makers and buy-side firms, including those working within specialist trading pods.
What we’re looking for
Strong numerical and analytical skills.
Sound risk judgement and a disciplined approach to trading.
Curiosity about markets and a willingness to learn beyond your current specialism.
The ability to make clear decisions under pressure.
Ownership of your work and an ability to collaborate effectively.
Coding or data-analysis skills would be useful.
You don’t need experience across every area listed. We’re looking for someone with strong foundations and the potential to develop into a versatile trader.
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-JW1
Задачи:
— Разрабатывать, обучать и внедрять ML/DL-модели для бизнес-задач.
— Строить AI-агентов и multi-agent workflows с tool/function calling, MCP и LangGraph/LangChain (или аналогами).
— Проектировать RAG-системы: эмбеддинги, hybrid search, reranking и векторные БД.
— Выполнять fine-tuning LLM, оптимизировать inference и интегрировать модели через API и микросервисы.
— Участвовать в MLOps/LLMOps: evaluation, мониторинг, tracing, guardrails и повышение качества AI-систем.
Требования:
— Опыт: от 2 лет в ML/DL или разработке AI-систем.
— Стек: Python, NumPy/pandas, scikit-learn, PyTorch / TensorFlow, Hugging Face Transformers.
— Знания: понимание ML/DL, архитектуры трансформеров и принципов работы LLM.
— Навыки: практический опыт с AI-агентами, RAG, vector DB и structured output; уверенный Git и деплой в production.
— Языки: знание узбекского и английского (Intermediate+) языков.
Будет преимуществом:
— Разработка API на FastAPI / Django REST Framework и контейнеризация с Docker.
— Computer Vision и видеоаналитика (OpenCV, YOLO, tracking, RTSP).
— MLOps/LLMOps-инструменты, self-hosted inference, GPU и Kubernetes.
— Мультимодальные модели или голосовые пайплайны (STT-LLM-TTS).
Условия:
— Развитие: оплачиваемые профильные курсы, IT-конференции, фестивали и тимбилдинги.
— Условия: бесплатные вкусные обеды в офисе.
— Карьера: реальные масштабные задачи, влияние на продукты компании, профессиональный и финансовый рост.
— Локация: офис в г. Ташкент.
— График: 5/2, с 09:00 до 18:00.
— Командировки: в г. Коканд (организуются и оплачиваются компанией).
— Зарплата: От 14.000.000 сум.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken.
You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.
THE OPPORTUNITY
- Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation.
- Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind.
- Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria.
- Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute.
- Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action.
- Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first.
- Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences.
- Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.
WHAT YOU BRING
- Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch.
- Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed.
- Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states.
- Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design.
- Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement.
- Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken.
You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.
THE OPPORTUNITY
- Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation.
- Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind.
- Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria.
- Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute.
- Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action.
- Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first.
- Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences.
- Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.
WHAT YOU BRING
- Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch.
- Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed.
- Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states.
- Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design.
- Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement.
- Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Europe
Workplace: Remote
ABOUT ENEBA
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
ABOUT THE ROLE
We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers.
You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between.
WHAT YOU’LL DO
- Create and own the analytics engineering strategy, direction, and goals.
- Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous.
- Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models.
- Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence.
- Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance.
- Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated.
- Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders.
- Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team.
- Identify and empower technical experts within the existing team to help define and implement engineering standards.
- Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions.
REQUIREMENTS
- Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies.
- Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function.
- A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models.
- Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built.
- Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions.
- Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed.
- Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful.
- Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool.
- Fluent English (business proficiency required)
What it’s like to work at Eneba
- Opportunity to join our Employee Stock Options program.
- Opportunity to help scale a unique product.
- Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
- Paid volunteering opportunities.
- Work location of your choice: office, remote, opportunity to work and travel.
- Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
- We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English
- To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
#LI-LK1
Location: Spain (Remote); Basque (Remote)
Workplace: Remote
I am looking for English > Basque translators with experience in Marketing/Legal/Technology content.
LILT https://lilt.com/ is a San Francisco and Berlin-based LSP with a translator-focused business model. We're building a community of the world's best translators around fast and fair payment, consistent work, and innovative neural MT technology.
This is a remote, freelance position.
Requirements:
- Native Basque translators only
- Minimum 2 years of translation experience
- Translation experience in Marketing/Legal/Technology content type
- The ability to follow terminology and reference materials precisely
Benefits of becoming a Lilt freelance translator/reviewer:
- Free access to our top-notch NMT technology + training on the system and support!
- Payments made via Payoneer; no more invoicing!
- Become a part of the Lilt Translator Community
Please upload an English copy of your CV/Resume when applying.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Spain (Remote); Galicia (Remote)
Workplace: Remote
I am looking for English > Galacia translators with experience in Marketing/Legal/Technology content.
LILT https://lilt.com/ is a San Francisco and Berlin-based LSP with a translator-focused business model. We're building a community of the world's best translators around fast and fair payment, consistent work, and innovative neural MT technology.
This is a remote, freelance position.
Requirements:
- Native Galacian translators only
- Minimum 2 years of translation experience
- Translation experience in Marketing/Legal/Technology content type
- The ability to follow terminology and reference materials precisely
Benefits of becoming a Lilt freelance translator/reviewer:
- Free access to our top-notch NMT technology + training on the system and support!
- Payments made via Payoneer; no more invoicing!
- Become a part of the Lilt Translator Community
Please upload an English copy of your CV/Resume when applying.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what\'s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
An overview of this role
As a Strategic Account Executive, you'll own a portfolio of strategic and large enterprise customers and prospects in France, helping them realize the full value of GitLab's AI-powered DevSecOps platform.
You'll solve real business problems for senior stakeholders by breaking into net new enterprise accounts and expanding adoption within existing customers, using a consultative sales approach to connect their priorities with GitLab's DevSecOps and AI capabilities.
You'll lead full-cycle, complex deals, collaborate closely with pre- and post-sales teams and strategic channel partners, and act as the voice of your customers by sharing their feedback and product ideas through GitLab\'s public issue tracker.
In your first year, you'll be expected to build and execute focused account plans, establish a healthy, qualified pipeline, and drive successful evaluations and rollouts that set the foundation for long-term growth across your territory.
What you’ll do
Own a portfolio of strategic and large enterprise accounts in France, driving both new customer acquisition and expansion within existing customers.
Lead complex, multi-stakeholder sales cycles from prospecting and qualification through evaluation, negotiation, and close using a consultative approach.
Develop and execute focused account plans that connect customer priorities with GitLab’s AI-powered DevSecOps platform and GitLab Duo capabilities.
Collaborate with Solutions Architects, Customer Success, Support, and Channel partners to run successful evaluations, rollouts, and long-term adoption of GitLab.
Partner with strategic channel partners to plan and execute joint territory activities, co-selling motions, and campaigns that build and progress qualified pipeline.
Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and with internal product and go-to-market teams.
Maintain accurate activity, pipeline, and forecast data, and contribute to win/loss reviews to continuously improve sales execution and territory strategy.
Work with Marketing to shape and support account-based and regional campaigns tailored to priority accounts and key buying centers in your territory.
What you’ll bring
Experience managing and growing large, complex strategic or enterprise accounts, including both new logo acquisition and expansion of existing customers.
Background selling software, developer tools, or related technology solutions to senior business and technical stakeholders in enterprise organisations.
Skill in building and executing structured account plans, managing pipeline and forecast data, and coordinating cross-functional resources across pre-sales, post-sales, support, and channel partners.
Ability to run full-cycle, multi-stakeholder sales processes using a consultative approach, from prospecting and qualification through evaluation, negotiation, and close.
Effective communication and presentation skills, with the ability to translate customer needs into clear input for product, marketing, and technical teams.
Familiarity with Git, software development tools, or application lifecycle management, and interest in learning GitLab’s DevSecOps and AI-powered platform.
Alignment with GitLab’s values, including transparency, collaboration, and inclusion, with openness to bringing transferable experience from different industries or backgrounds.
About The Team
You’ll join a regional Strategic Sales team that focuses on GitLab’s largest and most complex customers in the France. You’ll work closely with Solutions Architects, Customer Success, Support, and channel partners in a fully remote, asynchronous environment, using GitLab itself to plan, track, and document work across regions. We’re focused on helping enterprise customers standardize on GitLab at scale, navigate complex buying centers, and build long-term partnerships that align GitLab’s roadmap with customers’ business and technology goals.
How GitLab Will Support You
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental leave
Home office support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you\'re excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Senior Quantitative Researcher – Delta One
DRW is seeking a Senior Quantitative Researcher (Delta One) to join the FICC options trading business. This individual will serve as an embedded quantitative research lead within an established discretionary and systematic options platform, with a mandate to research, develop, and validate futures-driven systematic strategies that complement and enhance the broader FICC options franchise.
This role focuses on delta-one strategy research, quantitative signal generation, systematic futures execution research, and portfolio hedging across global futures markets. The individual will partner closely with options traders and developers to translate research into production strategies and integrate futures-based signals, directional overlays, and risk-efficient hedging frameworks into the broader derivatives platform.
This position is suited for someone with deep quantitative expertise, a demonstrated record of research contributing to trading performance, and experience developing scalable systematic models within derivatives markets.
Key Responsibilities
Research, develop, and validate systematic
delta-one futures strategies
across global markets, including rates, FX, commodities, and equities.
Build and refine
quantitative signal generation frameworks
to support both standalone futures strategies and options portfolios.
Develop and evaluate
futures-based hedging methodologies
to improve portfolio risk management across the FICC options business.
Research
directional options overlays
grounded in quantitative futures signals, partnering with traders on implementation and evaluation.
Model and analyze strategy and portfolio risks, including exposure, volatility, liquidity, and cross-asset correlations.
Partner closely with traders, developers, and trading infrastructure teams to productionize research, establish model monitoring, and improve execution.
Conduct rigorous research, backtesting, out-of-sample validation, and performance attribution, incorporating realistic transaction costs and execution constraints.
Analyze live strategy performance to identify model weaknesses, changing market conditions, and opportunities for improvement.
Continuously refine models to improve signal quality, robustness, scalability, and capital efficiency.
Develop quantitative frameworks to inform portfolio construction, capital allocation, and risk budgeting within the FICC platform.
Qualifications
2+ years of experience in quantitative research supporting systematic trading, preferably in futures and listed derivatives.
Proven track record of developing quantitative signals or models that have been deployed in production and contributed to trading performance.
Strong understanding of derivatives pricing, volatility dynamics, and risk modeling.
Deep experience in signal research, statistical modeling, and alpha generation.
Expertise in research design, backtesting, and model validation, including addressing overfitting, data leakage, and implementation costs.
Fluency in Python and experience working with large-scale financial datasets.
Strong knowledge of market microstructure and execution modeling.
Ability to independently lead research projects while collaborating effectively with traders and developers.
Preferred Background
Experience researching strategies across global futures markets, including equities, rates, commodities, and FX.
Experience integrating options strategies within systematic futures frameworks.
Familiarity with portfolio construction, capital allocation, and risk budgeting models.
Experience working within or alongside an options trading desk.
Experience supporting the full research lifecycle, from hypothesis development and empirical testing through production implementation and ongoing evaluation.
Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field
The annual base salary range for this position is $150,000 to $250,000 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-JW1
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer, GenAI Platform
About the Team
Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.
About the Role
You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly.
You’re excited about this opportunity because you will…
Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company.
Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.
Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases
Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in.
Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence.
Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives.
Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation.
We’re excited about you because…
BSc, MSc or PhD in Computer Science or equivalent
5+ years of industry experience in software engineering
Deep backend engineering fundamentals, especially in Python and distributed systems.
Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale.
Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization.
Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA).
Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities
Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
Nice To Haves
Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production
Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation
GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning
Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems
Experience with LLM gateways, model routing, vendor abstraction, or cost attribution
Experience building developer platforms, internal platforms, or self-serve infrastructure
Experience building and deploying AI agents or MCP servers in production
Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London
Workplace: Hybrid
Why loveholidays?
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 trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make
You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions.
Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers.
Your day-to-day:
- Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes.
- Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation.
- Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making.
- Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve.
- Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions.
Your skillset:
- Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability.
- Proficiency in Python and SQL, with experience working with large, complex datasets.
- A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking.
- Experience collaborating with engineers to deploy, monitor and improve models in production.
- Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions.
The interview journey:
- Intro with a member of our Talent Acquisition team - 30 minutes
- 1st Stage: Virtual Interview with Hiring Manager - 45 minutes
- 2nd Stage: Two on-site interviews
- 50 minutes for a project discussion deepdive with member(s) of the Data Science team
- 1 hour technical discussion around a case study with member(s) of the Data Science team
- Final-stage: Virtual interview with key stakeholders - 45 minutes
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
- Access to our electric vehicle salary sacrifice scheme
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Uganda
Who We Are!
🌍 Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined.
At
Educate!
we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent.
Educate! prepares youth in Africa to learn, earn and thrive in today’s economy by:
Introducing an employment-focused school subject into secondary and
Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women.
To date, more than 850,000+ young people have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, driving positive outcomes on income, employment, gender equity, family planning and sexual and reproductive health, and educational attainment.
Educate! is already East Africa’s largest employment and youth skills provider, and we’re on an exciting journey to impact millions more in the years ahead.
Educate! is a team of over
300 largely African staff
and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows.
We have been backed by top foundations such as
Imaginable Futures
,
Livelihood Impact Fund
, Jack Dorsey’s
#startsmall
,
CIFF
and
Echidna Giving
. Educate! won a
2018 Klaus J. Jacobs Prize
and a
2015 WISE Award
, and has been highlighted by
the World Bank’s S4YE's Impact Portfolio
, an
Al Jazeera documentary
,
BBC
,
The Brookings Institution
as one of 14 case studies on scaling education, and the
Gates Foundation as a Goalkeepers Accelerator
. In 2022, we received a
catalytic investment from philanthropist Mackenzie Scott
to scale our systems change work.
Educate!'s long-term vision is to design solutions that measurably impact millions of youth across Africa each year.
Good to note: To Our Awesome Applicants! 🚀💫
We know that incredible candidates sometimes hesitate to apply if they don’t meet every requirement. If this role excites you, we encourage you to apply!
We’re looking for passionate individuals who believe in our mission and can bring unique perspectives to our team—not just those who check every box. We value diversity and strongly encourage women and individuals from all backgrounds to apply.
What You’ll Do🌟
Financial Management & Reporting (40%)
Financial operations and control
Own the country's financial operations end to end — transaction processing, payroll inputs, cash and bank management, month-end close and the integrity of the ledger.
Deliver accurate management accounts to the Managing Director and Global Finance to an agreed monthly calendar, with variance analysis that explains what happened and what should change.
Manage cash flow and foreign exchange exposure across currencies, forecasting requirements and flagging risks early.
Approve payments and transactions within delegated authority, escalating beyond it with a clear recommendation rather than an open question.
Budgeting and business partnering
Run the annual and periodic budgeting cycle for the country: build the calendar, equip budget managers, consolidate inputs and challenge assumptions before numbers go to the Regional Finance and Operations Director and Managing Director.
Partner with budget holders through the year so spend decisions are made with good information, not reconstructed after the fact.
Produce donor financial reports that are accurate, on time and reconciled to the general ledger, and support proposal budgeting with realistic costings.
Operations, Procurement & Field Logistics (30%)
Oversee the Operations and Procurement Manager in running office administration, inventory, asset management and supplier relationships to agreed service standards.
Ensure procurement is competitive, documented and compliant with organizational and donor rules, while fast enough that programs are never waiting on paperwork.
Oversee field logistics — transport, warehousing and distribution — so program resources reach field locations on time and in full.
Identify where process, automation or system changes would remove cost or delay; design the change, make the case for it, and lead adoption through the managers who own the process.
Maintain a safe, well-run working environment across offices and field sites.
Compliance, Risk & Audit (20%)
Maintain the internal control framework in practice — not just on paper — and test it periodically for gaps and workarounds.
Lead the external audit and any donor or statutory audits: prepare the schedules, manage the fieldwork, and close out findings within agreed timelines.
Ensure statutory compliance — tax, social security, NGO registration and employment obligations — and keep a current register of legal and regulatory status for the Regional Finance and Operations Director and Managing Director.
Maintain the country risk register for finance and operations, with owners and mitigations, and escalate material risks promptly.
Manage contracts and supplier agreements, liaising with external counsel, auditors and tax advisers as needed.
Team Leadership & Development (10%)
Lead a team of managers and their staff across finance, operations and procurement, setting clear goals and holding a consistent performance standard.
Run a real coaching cadence — regular one-to-ones, honest feedback, development plans — and build depth so the function is not dependent on any single person.
Build the team's capability in analysis, systems and business partnering, not only in processing.
Model the Five Cultural Tenets and hold the team to them.
Who You Are 🦸♀️🦸♂️
5+ years of progressive finance and procurement experience, including 3+ years managing people — experience managing other managers is a strong advantage.
A professional accounting qualification (CPA, ACCA, or equivalent) or an equivalent combination of qualification and experience.
Demonstrated ownership of a full finance cycle: month-end close, management reporting, budgeting, and external audit.
Experience with donor-funded, multi-currency operations, including donor financial reporting and grant compliance.
Exposure to operations, procurement or supply chain management, or clear evidence of the judgment to take it on.
Strong systems orientation — comfortable with accounting and ERP systems and confident redesigning a process rather than working around it.
Demonstrated ability to operate well in complex and fast-changing environments.
Passion for Educate!'s mission is a must, but past work in education or youth development is not required. We value diverse perspectives and encourage applications from people with a variety of backgrounds looking at
Educate!’s culture deck here
Terms
A vibrant, mission-driven environment with a supportive and fun team.
Flexibility—hybrid work environment (location dependent)
Competitive salary based on experience.
Competitive benefits based on location
Learning & growth opportunities
This is a Fixed term contract with a possibility of extension based on performance
Our Culture & Tenets(Values)
🌱
We’re ambitious. Are you?
Educate! is growing fast, so new opportunities are opening up and expanding all the time. We’re inspired by people with drive, and we love to help them reach their full potential. We expect everyone at Educate! to contribute above and beyond their job description, grow their skills, and advance their careers, and we are committed to supporting our staff members on that journey of their careers, and we are committed to supporting our staff members on that journey.
We put Youth First, Impact-Obsessed
- We are purpose-driven, focused on impact, and prioritize what truly matters. We listen to youth, design our efforts around their needs, and ensure every dollar creates transformative experiences they value.
We Exceed Expectations -
We take pride in going above and beyond to achieve the best results—proactively identifying problems and seeking solutions without waiting or stopping at what's requested.
We Are Always Learning -
We are committed to seeking and applying new knowledge and ideas. We stay open-minded and continuously try new things, experiment, grow, and improve. We invest in learning for ourselves and our teams.
We are One Team, Many Views
- We value all individuals, believe diverse ideas and open dialogue drive excellence, foster a supportive and respectful environment where everyone can freely express themselves. We work as one team and prioritize the organization's mission over personal or team interests.
We have the Startup Mindset -
We innovate relentlessly to grow our impact, we never think “we have arrived” or “we’re done.”We constantly challenge the status quo, embrace change, and move quickly toward our vision. Unafraid of failure, we question anything that hinders progress.
Every person at Educate! — from interns to the executive director — is evaluated by how they live up to these five cultural tenets. They are at the core of how we achieve our mission and why we work as well as we do. Educate is committed to providing an inclusive and welcoming environment for all who interact in our community. In creating this environment, we encourage people from a variety of cultures, backgrounds and life experiences to join our diverse team.
We’re committed to ensuring all candidates are screened for
child and youth safety
. As part of the process, candidates must successfully complete our
standard background verification
and
safeguarding review in accordance with local legal standards
. Educate! reserves the right to withdraw an offer of employment if any screening results indicate potential risks to youth.
Location: Australia
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Strong frontend skills with TypeScript/JavaScript and React
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience building data-oriented interfaces and visualizations
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
leadAbu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia
US - Remote - Massachusetts , US - Headquarters - Maryland - Columbia
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London; We welcome candidates from banks, market makers and buy-side firms, including those working within specialist trading pods
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоEurope
УдалённоSpain (Remote); Basque (Remote)
УдалённоSpain (Remote); Galicia (Remote)
УдалённоГеография найма не уточнена
Chicago
seniorLondon, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
ГибридLondon
headBuild the team's capability in analysis, systems and business partnering, not only in processing