Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
About the Liquidity Platform
The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics.
The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business.
About the Options Market Making Team
The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls.
The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation.
What You’ll Be Doing
Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls.
Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems.
Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths.
Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery.
Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews.
Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution.
What We Look For In You
Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline.
At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems.
Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase.
Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems.
Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code.
Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English.
Technical Requirements
Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase.
Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting.
Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency.
Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code.
Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces.
Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics.
Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred.
Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems.
Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration.
Preferred Qualifications
Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems.
Understanding of order books, order lifecycles, and market microstructure.
Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging.
Experience developing low-latency trading systems, real-time market data systems, or high-performance network services.
Experience evolving multilingual systems or separating performance-sensitive components.
Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution.
Experience using Python for data analysis, backtesting, or production diagnostics.
Practical experience using AI coding tools such as Claude Code or Codex in production projects.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Bangalore, India
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands.
About the role
We are looking for a Software Development Engineer 1 (Backend) to build and scale the APIs and services that power Transak's global on/off ramp platform. You will work primarily with Node.js, MongoDB, and Redis in a microservices environment, shipping production features that are used by millions of users across our partner applications.
This role is ideal for an engineer with 2–5 years of experience who writes clean, well-tested code, cares about correctness and performance, and wants to grow into owning services end-to-end. You will collaborate closely with senior engineers, product, and other pods, learning how we design for scale, reliability, and security in a regulated fintech environment.
Key Responsibilities
API & Service Development
Build, test, and maintain RESTful APIs and backend services in Node.js.
Model data effectively in MongoDB and use Redis for caching, queues, and rate limiting.
Contribute to microservices with clean, readable, and well-documented code.
Quality & Reliability
Write unit and integration tests; participate in code reviews.
Debug, profile, and fix issues in staging and production.
Follow secure coding practices in a compliance-sensitive domain.
Collaboration & Delivery
Understand the
product and business context
behind engineering requirements and contribute to shaping solutions, not just implementation.
Break down tasks, give reliable estimates, and ship iteratively.
Work with senior engineers on design and integrate feedback quickly.
Coordinate with frontend, product, and other backend pods on shared contracts.
Learning & Growth
Ramp up on distributed systems concepts and asynchronous communication patterns.
Proactively improve areas of the codebase you touch.
What We’re Looking For
2–5 years
of backend development experience.
Strong hands-on experience building APIs with
Node.js
.
Working experience with
MongoDB
and
Redis
.
Exposure to a
microservices
architecture.
Solid fundamentals in data structures, algorithms, and problem solving.
A good team player who collaborates well and gels easily with the team.
Strong problem-solving ability and product thinking — able to understand the underlying user/business problem, break down ambiguous requirements, evaluate trade-offs, and propose practical solutions rather than simply executing predefined tasks.
Nice-To-Haves
Exposure to distributed systems complexity (consistency, idempotency, retries, failure handling).
Experience with asynchronous communication (message queues, event-driven patterns, pub/sub).
Understanding of frontend systems and how they consume backend APIs.
Experience in high-growth fintech or Web3 startups.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Type: Full-time
The Role
As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root.
You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard.
The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere.
The Mindset
You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one.
What You’ll Do
1. Build and Sustain the Hardware
Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining.
Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle.
2. Set the Engineering Standard
Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines.
Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets.
3. Lead JDM Execution
Set technical direction and guide partners through design, validation, industrialization, production, and sustaining.
Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex.
4. Make Quality Scale
Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues.
Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows.
5. Shape What’s Next
Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences.
Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs.
Success Looks Like
Hardware moves confidently from development through production and sustaining.
Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow.
JDM partners execute efficiently while Nex leads critical decisions and validates the evidence.
Manufacturing and field issues become verified fixes and lasting improvements.
Lessons from today’s products sharpen future technology and product choices.
Every program leaves behind better tools, knowledge, standards, and engineering capability.
Must Have
Degree in Electrical or Electronic Engineering, or equivalent practical experience.
7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining.
Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals.
Demonstrated ability to evaluate technologies and components and turn findings into product recommendations.
Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems.
Experience producing detailed engineering requirements and verification criteria.
Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports.
Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action.
Clear written and spoken English; working Mandarin for supplier and factory collaboration.
Nice to Have
Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories.
Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging.
Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing.
Python or similar scripting experience for lab automation and data analysis.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
We’re looking for an FP&A Manager, Product to join our Finance team. You’ll be the financial lead for our Engineering, Product, and Design (EPD) organizations—owning OpEx and headcount planning while building scalable systems that improve visibility and decision-making. You’ll partner cross-functionally with Engineering leadership, People, and Strategic Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. This is a hybrid role based in San Francisco, with in-office days on Monday, Tuesday, and Friday.
What You'll Do:
Own the Product investment envelope
– Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining disciplined spend and margin targets.
Drive rigorous workforce planning across technical and corporate teams
– Build bottom-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale.
Model infrastructure and internal systems economics
– Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack.
Translate roadmap and corporate priorities into financial tradeoffs
– Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact.
Elevate budget vs. actuals rigor across the organization
– Lead monthly BvA reviews for EPD. Automate reporting, improve accrual accuracy, and surface actionable insights—not just variance explanations.
Design scalable financial controls without slowing teams down
– Implement approval workflows for headcount, vendor spend, and enterprise tooling that are disciplined, fast, and transparent. Use automation and AI to reduce manual review and eliminate bottlenecks.
About You:
Proven partner to Engineering leaders
– You’ve supported technical teams and corporate functions, understanding how product velocity and operational infrastructure translate into financial outcomes.
Fluent in infrastructure and SaaS cost drivers
– You understand cloud economics, AI/compute scaling, enterprise tooling, and how architecture and vendor decisions impact margins.
Strong operator in workforce planning
– You’ve managed complex headcount models across multiple departments, aligning hiring pace with financial guardrails.
Advanced financial modeler
– You build scenario-driven models with clear assumptions and sensitivity analysis that stand up to executive scrutiny.
Precision-focused and systems-oriented
– You eliminate blind spots in forecasting, improve accrual accuracy, and build processes that scale without creating bureaucracy.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $180,000.00 - $220,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
This is a contract/part-time role: 10-20 hrs/week with a rate of $40-50/hr.
NOPE is an AI safety company focused on the proliferation of relationships between humans and AI and their impact on wellbeing and societal fabrics. They measure real conversations and relationships involving AI, track incidents, analyze regulations, and run evaluations on both raw LLMs and deployed AI. Their mission is to hold AI labs and products accountable for harms produced and to foster safe and aligned AI through proper governance and scrutiny.
The Social Comms role involves increasing NOPE's social media presence and becoming an active participant in the global conversation around AI safety and alignment. Responsibilities include taking research and artifacts produced by NOPE and creating a consistent, human presence on social channels by deciding what gets posted, writing content, and engaging with researchers, journalists, builders, and policymakers. The role requires maintaining an authoritative voice without growth-hacking or engagement bait. Work is asynchronous, any timezone, with direct access to the team and unpublished materials.
The person will have significant authorship over NOPE's blog, LinkedIn, other social accounts, public spaces, and private community spaces relevant to their work.
Ideal candidate qualities:
— Deep care about AI's impact on human relationships and social norms
— Abstract understanding of LLMs and their flaws
— Experience running or growing popular social accounts
— Writes authentically without relying on AI to generate content
— Ability to distill research into key points that resonate with people
— Can engage thoughtfully with critics and strangers publicly
— Good judgment on which social channels matter
— Experience in civic domains, public-good, policy, trust-and-safety, or non-profits
— Bonus: published material relevant to AI proliferation and risks
Applicants should mention the word AWARD and tag RNDYuNjIuMjEwLjE5Nw== to confirm they read the job post fully.
УдалённоThe work is async, any timezone, and you'd have direct access to the passionate team and to everything we publish before it's public
Location: Philippines
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.
TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.
Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on:
- Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans.
- Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately.
- Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs.
- Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes.
- AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy.
CORE RESPONSIBILITIES:
New Customer Onboarding
- Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans.
- Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed.
- Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately.
- Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up.
Account Health Management
- Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement.
- Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks.
- Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans.
- Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups.
- Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals.
Workflow Mapping (IER Framework)
- Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates.
- Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency.
- Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards.
- Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers.
AI Enablement & Agent Deployment
- Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices.
- Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists.
- Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption.
- Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows.
- Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways.
Customer Success & Expansion
- Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts.
- Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up.
- Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy.
Cross-Functional Collaboration
- Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts.
- Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples.
- Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context.
CORE SKILLS & COMPETENCIES:
Technical Acumen
Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.
AI Expertise
Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.
Consultative Discovery
Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.
Project & Program Management
Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.
Data & Reporting
Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.
Customer Engagement
Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.
Account Ownership
Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.
Collaboration & Influence
Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations.
AI-NATIVE CANDIDATE EXPECTATIONS:
- Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes.
- Can speak concretely about where AI added value, where human judgment was still required, and how success was measured.
- For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture.
INTERVIEW SIGNAL:
BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: San Mateo
Workplace: Hybrid
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
THE MISSION
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
THE OPPORTUNITY
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
WHAT YOU'LL DO
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments
- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes
- Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem
- Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you
- Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap
- Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements
WHAT YOU BRING
- 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer
- Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency (required) and AWS proficiency (required)
- A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between
- Experience building post-sales processes or playbooks from scratch
- Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus
- A technical degree (CS or equivalent)
- A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture
- Willingness to travel to customer sites as needed (roughly 15%)
- Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator
Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close.
WHY JOIN?
- Compensation: $230,000–$300,000 base plus extremely competitive equity
- Health benefits: 100% covered health benefits (medical, vision, and dental)
- 401(k): 401(k) plan with a 4% company match
- Time off: Unlimited PTO
- Wellness: Annual $2,000 wellness stipend
- Learning & development: Annual $1,000 learning and development stipend
- In-office perks: Daily lunches and snacks provided in the office
- Relocation: Relocation assistance for employees moving to the Bay Area
- Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships
- Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers
- Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean
- Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person
- Visa support: Open to visa transfers, including OPT and H-1B transfers
INTERVIEWING PROCESS
- Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics
- Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset
- Coding Screen (1 hour) — Live coding in Python with end-to-end debugging
- On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire.
As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design.
RESPONSIBILITIES
- Be the personal, named contact for VIP members in our in-app messaging hub
- Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved.
- Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion.
- Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member.
- Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord.
- Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features.
- Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team.
- Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage.
QUALIFICATIONS
- 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app.
- Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug.
- Exceptional written communication: warm, concise, and human, even under pressure.
- Absolute discretion: for high value users, privacy and trust are the product.
- Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase.
- Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself.
- Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job.
- Nice to have: experience serving high net worth clients at an exchange or brokerage.
- Nice to have: hands on experience with Zendesk and AI support tooling.
- Nice to have: fluency in more than one language, or an active Phantom user with real on chain history.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: Remote UK
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk.
The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus!
What you’ll do
Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants
Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants
Investigate and use new sources of third party data to assess merchant financial risk
Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants
Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation
What we look for
3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting
Experience working with cross functional partners across the organization, especially Sales and Business Development teams
Experience reviewing financial documents, business credit reports and payment processor statements
Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution
Compensation & Benefits
Base Pay Grade - G
Equity Grade - 3
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.)
Base pay range per year: £66,000 - £76,000
Location: UK Remote
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Your responsibilities will include:
Develop and maintain Python-based API integrations between our HR information system (HRIS) and business systems, including finance, travel, expense management, and recruiting platforms.
Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure.
Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization.
Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform.
Own integrations through implementation, testing, deployment, and production support; respond to alerts and troubleshoot issues across APIs, Azure services, and data sources within agreed SLAs.
Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes.
Work with business stakeholders to clarify requirements and maintain technical documentation as part of each change.
We expect you to have:
3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure.
Practical experience with Azure compute and integration services. Our stack includes Azure Functions, App Service, Container Apps, Container Instances, Service Bus, and API Management.
Practical Python development skills, including maintaining and debugging existing services and automations.
Experience integrating REST APIs, webhooks, and Microsoft Graph API, with an understanding of pagination, rate limits, retries, and idempotency.
Experience working with CI/CD pipelines and Terraform for Azure deployments.
Good understanding of OAuth 2.0, Microsoft Entra ID, and managed identities for secure authentication and service-to-service access.
Experience designing and working with relational databases (PostgreSQL, MSSQL, etc.).
Experience with automated testing and diagnosing production issues through logs, monitoring, and alerts.
It will be an added bonus if you have:
Experience integrating HRIS or other business systems, such as ERP, expense management, or recruiting platforms.
Azure certifications (AZ-204, AZ-900, AZ-104).
Hands-on experience with Application Insights and Log Analytics.
Experience using AI-assisted development tools, with the ability to critically evaluate their output.
#LI-RK1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius
is looking for a Security Risk
Lead
to strengthen security risk management across our global AI cloud infrastructure, products, business operations, and strategic programs.
This is a senior, hands-on individual-contributor role with end-to-end ownership of security risk assessments, the security risk register, remediation tracking, risk acceptance, and risk reporting. The successful candidate will work closely with engineering, cloud infrastructure, product, security, compliance, legal, and business teams to ensure that material risks are
identified
early, assessed consistently, and driven toward clear treatment decisions.
The role requires strong judgment, technical understanding, and the ability to influence stakeholders without relying on formal authority.
Your responsibilities will include
Risk Assessment
Lead security risk assessments for infrastructure, cloud environments, products, applications, business processes, and major technology changes.
Conduct risk assessments for new initiatives, systems, and significant changes, including supporting M&A-related risk assessment work alongside the due diligence team.
Evaluate the design and effectiveness of controls and identify residual risk following mitigation.
Identify emerging and systemic risks that may affect multiple services, regions, or business functions.
Risk Register & Tracking
Maintain the security risk register: log new risks, update status, track owners, and follow items through to remediation or formal risk acceptance.
Support the ongoing refinement of Nebius's risk assessment and risk register processes, contributing improvements as the practice matures.
Coordinate with other GRC functions on findings and gap assessments that carry risk implications, and independently determine whether a given finding warrants a risk register entry.
Metrics & Reporting
Maintain and improve security risk assessment, scoring, prioritization, and acceptance processes.
Define and monitor meaningful Key Risk Indicators and risk trends.
Translate complex technical risks into clear business impact for senior leadership and governance forums.
Prepare risk reporting that supports security posture reviews, strategic decision-making, and Board-level reporting.
Support auditors, customers, and internal stakeholders on security risk management matters.
Cross-Functional Coordination
Work closely with other GRC functions to ensure risk assessments reflect current operating reality.
Partner with engineering and business stakeholders to embed risk thinking into day-to-day decisions, building trust through clear, practical communication rather than formal authority.
Build trusted relationships with risk and remediation owners while maintaining independent and objective judgment.
We expect you to have
5-8 years of experience in security risk management, IT risk, GRC, or a closely related discipline.
Hands-on experience running risk assessments and maintaining a risk register, including driving items through to remediation or formal risk acceptance.
Solid understanding of risk scoring and prioritization approaches, and the judgment to apply them consistently and defensibly.
Ability to define and track meaningful risk metrics/KRIs for leadership reporting.
Strong organizational and analytical skills, with the ability to manage multiple concurrent risk items without losing accuracy or follow-through.
Strong communication and stakeholder management skills; comfortable working across security, compliance, engineering, and business teams.
Familiarity with cloud infrastructure and technology environments is an advantage.
Relevant certifications (e.g., CRISC, CISSP) are an advantage, not a requirement.
Bachelor's degree in information security, computer science, engineering, or a related field preferred; equivalent practical experience will be considered.
Excellent written and verbal communication skills in English.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Seoul, Korea, Republic of
Do you want to play an integral role in South Korea’s transition to clean power and the development of some of the most exciting offshore wind projects?
JUMBO Consulting Group is growing in South Korea, and we are now seeking a Senior Consultant that will focus on contract advisory, procurement, and contract management for major offshore wind developments.
Join our growing team in Seoul, South Korea and be at the forefront of the green transition!
The Role:
As a Senior Consultant (Procurement & Contracts Manager), you will be supporting key clients of JUMBO Consulting Group with major offshore wind developments in South Korea.
You will be fully integrated into some of the most exciting offshore wind projects in South Korea and be providing expert advice across a wide range of procurement and contractual matters from early stage development through to completion.
Utilising your extensive experience in supply chain, procurement, contracts, and legal matters, you will collaborate with the existing JUMBO Consulting Group’s team and the client organisation to drive forward procurement processes and contract negotiations on the projects.
You will lead the development of procurement and contracting strategy, drafting, negotiations, and management of contracts from early-stage project development through to the execution of the projects.
This is an excellent opportunity to play an integral role in the development of ground-breaking offshore wind projects in South Korea, as well as the growth of JUMBO Consulting Group in the country and wider APAC region.
Responsibilities:
Your responsibilities will include but are not limited to:
Procurement Management:
Develop procurement strategies and plans.
Manage and conduct supplier pre-qualification.
Manage and conduct the Invitation to Tender process.
Draft contract and Invitation to Tender documents.
Draft and negotiate supply and installation contracts for the various packages of an offshore wind farm including, WTG, foundations, OSS, cables, other BoP elements, and transportation.
Draft and negotiate main contracts for other renewable energy projects including power-to-X, green hydrogen, green ammonia, utility scale solar PV, storage, onshore wind and renewable energy transmission.
Manage and conduct tender evaluation, negotiations and prepare award recommendation.
Provide contract and procurement advice to projects management team.
Contract management, supplier follow-up and contract close-out.
Be an active member of the procurement organization and project team.
Contract Management:
Once projects enter execution phase, you will be involved with the following:
Work side by side with the project management team to ensure a successful project delivery, balancing risk with solutions that are commercially and contractually viable.
Keep a continuous overview over critical milestones, assess and manage rights and obligations according to the contract.
Direct and process changes, variations and claims in the project and ensure that the changes are implemented in compliance with our client’s commercial interests.
Provide interpretation of contracts, organize and process correspondence with contracting parties and monitor fulfilment of contractual obligations.
Manage the commercial relationship and communication with contractors during the execution phase of the project keeping a close dialogue with them to ensure that issues are dealt with proactively with diligence and foresight.
Ensure timely delivery of the contract within the set mandate.
Drive governance processes and required presentation material towards different stakeholders and decision bodies such as the Steering Committee.
Contribute to further developing processes regarding contract management.
JUMBO GLOBAL
JUMBO Consulting Group is a highly experienced and specialised advisory that offers strategic services and project delivery consultancy for offshore wind, offshore transmission systems and energy island projects, covering the entire project lifecycle from early development, procurement and construction to O&M.
Our services are founded on deep sector knowledge and delivery of contractual and commercial solutions within our core disciplines, development services, supply chain development, category management, Procurement & Contract Management and advisory services.
JUMBO Consulting Group is headquartered in Copenhagen (DK) and has offices in Melbourne (AUS), Hamburg (DE), Aberdeen (UK), Warsaw (PL), Madrid (ES), Seoul (KR), Taipei (TW), Singapore (SG),East Coast (US) and the Philippines.
By submitting your CV and application to JUMBO Consulting Group you consent to have your personal data processed and stored in our CV-database for the purpose of recruitment.
Location: Zürich, CH
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity or other experimental & research background.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
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.
As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor.
The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling.
Key responsibilities
Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations).
Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms.
Support training and deployment of quantitative models used in trading.
Monitor, manage, and troubleshoot distributed platforms.
Optimize codebases for performance, reliability, and resource efficiency across the full stack.
Required qualifications
2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays).
Experience designing and operating services or platforms used by other technical users in data-intensive environments.
Comfortable supporting internal users and iterating on ergonomics and workflows.
Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality.
Excellent written and verbal communication; collaborative mindset and empathy
Desirable / nice-to-have
Rust experience alongside C++ and Python.
Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
GPU programming experience.
Familiarity with ML/Deep Learning frameworks.
Prior finance or market-data experience, including low-level market connectivity.
Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure.
Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure.
Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work.
What we evaluate in the interview loop
We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply.
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-PR1
Bangalore, India
seniorHong Kong; Nex employees may be expected to collaborate with colleagues across different time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоPhilippines; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
ГибридRelocation: Relocation assistance for employees moving to the Bay Area
УдалённоTime zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job; We strongly encourage candidates of all backgrounds to apply
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
London, United Kingdom
География найма не уточнена
London
УдалённоRemote UK
УдалённоRemote - Europe
leadTel Aviv, Israel
seniorГеография найма не уточнена
Zürich, CH
Singapore; Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply
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