Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
Why Kimchi?
Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too.
The Auto Router
Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours.
Made
by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion.
About the role
Every request gets a decision: which model serves it.
This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle.
The problem:
routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic.
Stack:
Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI.
Requirements
You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts.
Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone.
You know the difference between a model that got better and an eval that got easier.
You have real opinions about what LLM benchmarks measure, agentic harnesses included.
You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly.
You instrument before you optimize, error bars and all.
A wide mandate excites you more than it unsettles you.
Nice to haves
You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts.
Calibration, abstention, or conformal methods in production decision systems.
You've run online A/B loops with drift monitoring on a model that touches real money.
Responsibilities
Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact.
Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes.
Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy.
Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture.
Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship.
Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today.
Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support.
What’s in it for you?
Competitive salary (depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
seniorAustria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
Location: Tel Aviv, HQ
Workplace: OnSite
ABOUT THE ROLE
You sit inside a product group and own its go-to-market from 0 to 1. You work with the field on the first customers, learn how to sell this product, and turn that into a playbook the whole org can use.
WHAT YOU'LL DO
- Build the playbook. Define how we sell your product: buyer personas, value proposition, use cases, demo story, positioning and messaging, and pilot structure. Work with the Head of Commercialization on pricing and packaging.
- Go 0 to 1 with the field. Join the first deals. Run discovery, shape the demo around the customer's business case, and test the playbook in real conversations. Scout for design partners for new capabilities.
- Design pilots that succeed. Set the scope, success criteria and business impact story for each POC. Spot risks early and run root cause analysis when a pilot gets stuck.
- Hand it over to scale. Make what works easy for other teams, inside Wonderful and at the customer, to run without you. You own the content, they own the rollout.
- Feed the product. Turn what you hear from customers into clear, prioritized input for PM and engineering.
- Expand into target regions. Identify the local subject matter capabilities required and recruit local talent.
WHAT YOU BRING
- 4+ years in a technical, customer-facing role at a product company: solutions engineering, pre-sales, technical product management, or technical BD.
- You're a builder. You can put together an agent, connect APIs and debug a demo in front of a customer.
- Commercial instinct. You can run a business requirements discussion, build a business case, and know why pilots and deals get stuck.
- You can talk to a CTO and to a business buyer in the same meeting.
- Excellent written and spoken English. You present daily.
- Based in Tel Aviv, happy to travel.
STRONG PLUS
- You've shipped LLM-based agents to production (prompting, tool use, evals).
- You've taken a product from its first customers to a repeatable motion.
- You've built playbooks that other teams use, for example deployment, onboarding or change management.
- Exposure to pricing or enterprise sales cycles.
WHAT SUCCESS LOOKS LIKE
- A proven playbook for your product: personas, value proposition, demo story and pilot structure, tested with real customers.
- Other teams run the playbook without you: the field, DS and FDEs, and customer teams.
- Demo-to-POC conversion and POC success rate in your group are up.
- A pricing and packaging proposal for your product is live.
- PM gets a steady, useful flow of customer input.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
Why Kimchi?
Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves.
Kimchi Inference
One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship.
Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion.
About the role
Throughput. Latency. Cold starts. Cost per token.
Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data.
The problem:
the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next.
Stack:
Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI.
Requirements
You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks.
Your Python is production-grade: services, not scripts.
You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU.
You've measured quantization regressions, not just compression ratios.
Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes.
You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move.
You instrument before you optimize, and you can tell a real win from a benchmark artifact.
A wide mandate excites you more than it unsettles you.
Nice to haves
You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts.
Calibration, abstention, or conformal methods in production decision systems.
You've run online A/B loops with drift monitoring on a model that touches real money.
Responsibilities
Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine
fleet. Find the ceiling on each GPU SKU, then raise it.
Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or
network) and fix it, not the one you assumed.
Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the
unrealized throughput lives here, and you'll own it.
Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business
taking an hour to reach serving.
Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks.
Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck
on storage or interconnect.
Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible
experiments.
What’s in it for you?
Competitive salary (depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Company Profile:
Our client provides high quality professional and personalized tax preparation, accounting, and bookkeeping services for individuals, businesses, and non-profits at reasonable rates. The company is a fast-growing medium-sized accounting firm serving clients throughout the United States, with a Philippines-based accounting team of nearly 30 professionals that continues to expand.
Overall purpose and responsibilities of the role:
The Director, US Tax & Accounting will be responsible for preparing and reviewing standard US tax returns, including individual (1040), partnership (1065), S-Corporation (1120-S), and C-Corporation (1120) returns. The role also involves managing client relationships, providing tax compliance support, using QuickBooks for accounting-related tasks, and training junior staff. Experience with estate tax (1041), nonprofit tax (990), and employee benefit plan returns (5500) is an advantage but not required.
Duties & Responsibilities:
- Provides review, management, and thorough final detail review of tax returns for individuals, partnerships, and corporations.
- Prepares tax returns when not reviewing or managing returns.
- Provides tax projections, planning, and handles tax notices.
- Manages professional accounting and bookkeeping services primarily using QuickBooks.
- Provides light oversight of bookkeeping and QuickBooks-related activities.
- Serves as a firm Tax Partner and primary point of contact.
- Manages client relationships and support staff.
- Acts as a trusted year-round advisor to clients.
- Helps streamline operations and trains staff.
- Mentors and upskills junior team members.
- Provides leadership with broader strategic responsibilities developing over time.
- Advises business owners on tax compliance and financial matters.
- Tracks deliverables and identifies advisory opportunities.
- Supports development of overseas-based client-facing leadership.
Critical Skills & Experience:
- Bachelor’s degree in Accounting or advanced degree preferred.
- Minimum 5 years of US tax experience.
- Hands-on experience preparing and reviewing Forms 1040, 1065, 1120, and 1120S.
- Strong working knowledge of QuickBooks Online and Desktop.
- Comfortable managing client relationships and providing advisory guidance.
- Ability to advise on LLC vs partnership structuring and entity location decisions.
- Must work US Eastern-aligned hours.
- Proficient in Microsoft Office.
- Familiarity with UltraTax and Onvio preferred.
Ideal Candidate Profile:
- Mid- to senior-level US tax professional, preferably with 15–20+ years experience.
- Entrepreneurial, adaptable, growth-oriented.
- Interested in long-term commitment and leadership growth.
Nice-to-Haves:
- Experience in fund accounting, private equity, or hedge fund taxation.
- Background in Big Four or large accounting firms.
- Experience managing client relationships and mentoring teams.
- CPA designation strongly preferred.
Job type: Permanent
Employment type: Full-time
Schedule: Monday to Friday, flexible start times (preferred 8:00 AM–4:00 PM EST, earlier starts allowed)
Location: Work From Home
Industry: Accounting/Financial
Location: Abu Dhabi, United Arab Emirates; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Amman, Jordan; Kuwait City, Kuwait; Doha, Qatar
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Senior Full-Stack and AI Engineer
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Responsibilities:
Design, configure, and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools, and development repositories.
Develop hands-on technical exercises, starter repositories, and training materials for a 3-day programme.
Prepare and validate access requirements, permissions, and technical setups before training delivery.
Lead practical workshops covering AI-driven software development, agentic coding, CI/CD, and deployment automation.
Deliver hands-on training in data engineering, including Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture, and data governance.
Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention, and production monitoring.
Conduct Azure Databricks labs covering workspace configuration, notebooks, Delta tables, pipelines, and model inference.
Guide participants through integrating AI capabilities into full-stack applications using Python and TypeScript/JavaScript.
Perform live coding, troubleshoot technical issues, and support participants with different experience levels.
Facilitate team-based capstone projects involving AI-integrated application development.
Collaborate with the AI instructor to coordinate technical sessions and practical exercises.
Provide complete lab materials and a post-training delivery report.
5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript.
Strong hands-on experience integrating LLM APIs and developing production AI applications.
Proven production experience with Azure Databricks, including workspace configuration, Delta Lake, jobs, and data pipelines.
Experience with AI engineering architecture, model serving, inference APIs, retrieval systems, and model evaluation.
Practical knowledge of AI platform security, LLM guardrails, prompt injection prevention, and sensitive data protection.
Proficiency with agentic AI coding tools such as Cursor, Claude Code, or GitHub Copilot.
Strong experience with CI/CD pipelines, Azure cloud services, and deployment automation.
Hands-on data engineering experience with Apache Spark, lakehouse architectures, data governance, access control, and lineage.
Experience integrating AI models into full-stack applications.
Previous experience delivering technical workshops, bootcamps, or corporate training programmes.
Excellent presentation, communication, live-coding, and technical troubleshooting skills.
Ability to independently prepare and deliver complex hands-on technical labs.
Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation.
Must have no current or previous engagement with the end client.
Nice to have:
Experience with NVIDIA AI Enterprise or GPU-accelerated AI workloads.
Experience delivering technical training or solutions within public-sector or regulated environments.
Knowledge of UAE data protection and compliance requirements.
Задачи:
— Source, recruit, and onboard top Forex affiliates, IBs, and media partners
— Negotiate commercial terms (CPA, RevShare, hybrid deals) to maximize ROI
— Build and manage long-term strategic partner relationships
— Monitor performance, traffic quality, and conversion metrics via tracking platforms
Требования:
— Proven affiliate management experience strictly within Forex / FX (Required)
— Strong commercial negotiation skills and analytical mindset
— Fluent English
— Based in Cyprus or open to remote work
Location: Singapore, Singapore
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
As we expand rapidly globally, we are looking for a highly motivated middle to senior level legal counsel with experience in Web3 products. In this role, you must have outstanding core legal skills, including research and writing, the ability to assess risk appropriately in newly regulated and unregulated environments as well as where multiple regulatory regimes apply, and a strong work ethic.
What You’ll Be Doing
Provide legal advice and support to the internal stakeholders for new products, new features to existing products, marketing material of Web3 products and changes in applicable regulatory environments
Draft, maintain, review and negotiate a wide range of documents, including commercial agreements, internal policies, terms of service, legal disclaimers and other templates to be used by business teams
Liaise and manage external counsel whenever required
Monitor and advise on legal and compliance developments (especially in the US) and their impact on the Web3 business
Maintain and brief internal stakeholders on internal standard operating processes that the Web3 Products legal team own
Provide general support to the Web3 business teams
What We Look For In You
Qualified lawyer with 8-15 years PQE, preferably with experience in blockchain and other decentralised Web3 products and services, including but not limited to token projects, dApps and aggregator platforms.
Candidates with U.S. Bar admission are strongly preferred
Familiar with product management and software development workflows
Sound judgment on business practices, internal and external stakeholder relationship management and reputational risk.
Proficiency in spoken and written English. Chinese is a plus
Very well-organized, detail-oriented, presentable and with excellent drafting and communication skills (both verbally and in writing)
Ability to manage stakeholders in high pressure and/or time-sensitive situations
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: Ebene
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless.
At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction.
What you will be doing
- Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time.
- Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation
- Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth.
- Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows.
- Workflow Automation: Design, construct, and manage automated workflow solutions to eliminate repetitive manual bottlenecks across commercial reporting and incentive management.
- Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam
About you
- Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment.
- Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree.
- Technical & Coding Chops: You possess strong programming skills (e.g., Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code. You have practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker.
- Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling.
- Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie.
- Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters
- Software Engineering Mindset: You apply modern software engineering practices to data workflows—leveraging version control, modular code, and automated testing to build robust, maintainable data pipelines.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
We're looking for an Intermediate Site Reliability Engineer to join the Cells Infrastructure team in GitLab's Scale & Architecture organization. In this role, you'll help build and operate Cells, the architecture that lets GitLab.com scale horizontally. Cells splits GitLab.com into many independent units, each with its own application and data stack, behind a shared routing layer.
This is a build-it-and-run-it role. You'll provision cells, route traffic to them, deploy them safely, and keep them reliable in production. You'll also help move customer organizations onto Cells, one of GitLab's most important scaling initiatives.
What you'll do
Operate Cells in production: join the on-call rotation, respond to incidents, lead post-incident reviews, and drive corrective actions to completion.
Define and monitor service level objectives (SLOs) for routing and cell health, and build the dashboards, alerts, and runbooks behind them.
Provision and operate cell infrastructure on Amazon Web Services (AWS) and Google Cloud Platform (GCP), including Kubernetes, networking, Identity and Access Management (IAM), PostgreSQL, Redis, and object storage.
Develop infrastructure as code with Terraform, Helm, and GitOps tooling such as Argo CD.
Operate and extend the global routing layer, built on Cloudflare Workers, Envoy, and a Go service backed by Cloud Spanner, and expand routing to more protocols and services.
Improve the continuous integration and continuous delivery (CI/CD) pipelines behind ring-based deployments, covering promotion, database migrations, quality assurance validation, and rollback.
Support organization migrations by preparing destination cells and helping with dry runs and production cutovers.
Work with product teams to make their services cell-compatible, and write documentation so others can operate Cells with confidence.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience running production infrastructure at scale on AWS, GCP, or both, including Kubernetes, along with strong Terraform and Helm skills.
Proficiency in Go, or strong experience in another systems language and willingness to work in Go daily.
Solid grounding in site reliability engineering (SRE) best practices: SLOs and error budgets, blameless post-incident reviews, reducing toil through automation, capacity planning, and designing for graceful degradation.
Experience owning services in production, including on-call, incident response, and monitoring with tools such as Prometheus and Grafana.
Practical knowledge of progressive delivery: how to roll changes safely across a fleet and how to roll them back.
A strong understanding of distributed-systems fundamentals, such as request routing, proxies, consistency, and failure domains.
Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers.
Experience with Cloudflare, Spanner, Argo CD, TypeScript, or operating GitLab at scale is a plus, not a requirement.
About the team
Every team in our organization owns its services end to end, from design through on-call.We own the control plane that tracks cells and decides where each request belongs, and keep the fleet in step with GitLab's release cadence.We work closely with delivery, database, migration, and product teams across GitLab. Feature teams own how their services behave on the platform; we own the underlying infrastructure.We're an all-remote, asynchronous team. We make decisions in GitLab issues, use directly responsible individuals (DRIs) to own technical direction, demo our work weekly, and use AI-assisted workflows every day.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Help us build the next generation of authentication services at GitLab. As a Senior Backend Engineer on the Authentication team, you'll build authentication features across the Rails monolith and GATE. GATE is our new service for issuing and validating tokens and managing identities, designed to support every GitLab deployment model.
You'll expand authentication mechanisms, including support for identities used by artificial intelligence (AI) agents. You'll also help keep GitLab and its customers secure by building access management tooling and addressing vulnerabilities reported through our HackerOne program.
GATE will become the foundation for token issuance, validation, and identity services across GitLab.com multi-tenant software as a service (SaaS), Self-Managed, Dedicated, and air-gapped environments. Your work will affect core components that customers, users, and GitLab teams rely on.
Some of our projects include:
Building GATE as the centralized service for token issuance and validation
Consolidating tokens and migrating authentication paths out of the Rails monolith
Building passkeys and passwordless authentication
Developing composite identities that combine machine and human authorization for AI
Improving service accounts and secure automation
Enhancing Security Assertion Markup Language (SAML), Lightweight Directory Access Protocol (LDAP), OpenID Connect (OIDC), and System for Cross-domain Identity Management (SCIM) capabilities for automated user provisioning and single sign-on (SSO)
What you'll do
Shape the roadmap for GATE and GitLab's authentication services with the team.
Design and implement token issuance, validation, and identity services in Go and Ruby across the Rails monolith and GATE, including new authentication mechanisms such as Workload Identity Federation.
Migrate authentication and token management paths from the monolith into GATE while maintaining reliability across all deployment models.
Build authentication mechanisms from the ground up, such as Workload Identity Federation.
Strengthen security for users and organizations through access management tooling and by addressing vulnerabilities reported through our HackerOne program.
Define and improve standards for style, maintainability, and engineering practices in a high-scale environment, and advocate for them through code review.
Communicate publicly about GitLab initiatives, projects, and contributions from people not working for GitLab Inc. Reflect GitLab's values in these communications.
Ship moderately sized features and improvements with moderate guidance and support from other team members, and collaborate on larger projects, including the build-out of GATE.
Participate in the maintainer trainee program at your own comfortable pace while working toward becoming a project maintainer.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional experience with Go and/or Ruby in scaling or mission-critical SaaS products.
Familiarity with authentication and authorization technologies or techniques, such as OAuth, OIDC, SAML, SSO, SCIM, LDAP, JSON Web Tokens (JWTs), role-based access control (RBAC), or identity and access management (IAM).
Knowledge of token systems, cryptographic signing, and key management.
Experience building or contributing to a service from concept to production, including proposal, discussion, and execution.
Proficiency in written and verbal English, with the ability to communicate complex problems and solutions clearly in a remote, largely asynchronous work environment.
Experience diagnosing, preventing, and resolving performance and optimization problems.
Experience working in an iterative software development process, managing your work effectively, staying organized, and following through on priorities.
About the team
Our mission is to empower GitLab system administrators with the toolkit they need to create their desired balance of security and accessibility for their GitLab experience.
Authentication is the first impression a new customer has when they configure a new GitLab instance. We aim to make it as seamless as possible, from that first login to onboarding users and managing security rules for their instance in a secure, flexible, and scalable way.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker
Workplace: Hybrid
Team: Accounting Core
Location / work arrangement: San Francisco, San Mateo, Seattle & Vancouver (Canada)
Employment type: Full Time
About the Role
Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.
THE TECHNICAL CHALLENGES
- Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations.
- Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability.
- Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load.
- AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.
IMPACT
- First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity.
- First twelve months:
- You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency).
- The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling.
- Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.
OWNERSHIP
You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.
WHO YOU’LL WORK WITH
Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara.
WHAT YOU BRING
MUST-HAVE:
- You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture.
- A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints.
- Depth in system architecture, API design, and both SQL and NoSQL databases
- Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS.
- You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results.
NICE TO HAVE:
- Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical
- Experience with durable execution or workflow engines such as Temporal
- Experience modernizing a mature system without disrupting customers
HOW WE WORK
Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.
Our Hiring Process
- Stage 1: Real World coding assessment, 45 Mins
- Stage 2: Systems Design assessment, 45 Mins
- Stage 3: Technical Deep dive, 60 Mins
- Stage 4: Values/ Future Proof, 60 Mins
- Stage 5: Leadership interview, 60 mins
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The expected base salary range for this role in:
- California: $206,000 USD
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly.
Why This Role Is Exciting
Two product portfolios just came together.
Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them.
Your work drives leadership decisions.
You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest.
You own the work end to end,
from raw data to the decision it informs.
You'll analyze products built for people like you.
Our customers are data teams.
Technologies You’ll Use
SQL (BigQuery / Snowflake)
dbt / dbt State
Looker / LookML / Omni
Hex / Sigma / Google Sheets
Claude Code / Codex
What You’ll Do
Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention.
Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy.
Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track.
Size the potential impact of new product initiatives and recommend how to prioritize them.
Analyze product launches and experiments, and recommend what to do next.
Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products.
Tackle questions where product data meets broader business data, such as revenue, sales, and support.
Build and maintain the data models, metrics, and dashboards behind your work.
Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm.
Skills We’re Looking For
5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company.
Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself.
Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output.
Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis.
A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation.
Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers.
Experience influencing cross-functional, distributed teams, both asynchronously and in real time.
Bonus Skills
Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions.
Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion.
Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap.
Experience developing and scaling a large dbt project.
Python or R for analysis.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$156,082
—
$195,102.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York, United States
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.
About the Team
OKX's Legal team provides legal advice and guidance to the company across all coverage areas and geographic locations, and supports business growth and development by working with all teams within the company to help them achieve their goals. We are a high-functioning, collaborative and fast-paced group of lawyers who enjoy the cutting-edge nature of our work and the digital assets industry.
Sitting in the Legal department, the Corporate Investigations team investigates fraud, misconduct and abuse committed against OKX. The team includes experienced investigators, among them former federal agents, and partners closely with the Compliance, Risk, Finance, and HR departments, colleagues in the Legal department, and business executives across OKX's global footprint.
About the Opportunity
This is a senior, high-impact role for a former federal prosecutor who wants to build and lead a global investigations function. The Head of Corporate Investigations will be the single accountable owner for investigating wrongdoing against OKX and developing these matters for appropriate recovery and civil or criminal enforcement as warranted.
As OKX's most senior investigations leader, you will set the standard for how the company uncovers and responds to wrongdoing, leading investigations that reflect the highest standards and best practices in the field. This is an opportunity to build a world-class investigations program, one whose rigor, independence and integrity protect OKX's people, assets and reputation
Where an investigation warrants it, you will be responsible for bringing matters to the appropriate authorities in the US, EMEA and APAC, ensuring each case is built to a prosecutorial standard and supported through to any civil or criminal resolution.
We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. Extensive international travel on short notice expected in this role.
What You'll Be Doing
Lead the function and the team.
Set the strategy, standards and methodology for internal investigations globally. Own intake, triage and prioritization. Manage and develop a team of investigators that includes former agents.
Run investigations.
Direct investigations from allegations through findings, including interview strategy, subject and witness interviews, digital forensics and financial tracing. Personally lead the most complex and sensitive matters.
Build cases to a prosecutorial standard.
Own OKX's framework for deciding which matters warrant escalation to authorities and in which jurisdiction. Build strong cases to the evidentiary and procedural standards of that jurisdiction, and partner with the Litigation team to pursue recovery of losses.
Manage engagement with authorities.
Where matters are brought to the attention of authorities, oversee OKX's engagement through to resolution, including providing evidence, making witnesses available and responding to legal process, as appropriate.
Own
law enforcement
relationships.
Build and maintain relationships and networks with law enforcement and prosecutors worldwide, including federal, state and local authorities in the US, EMEA and APAC.
Partner across the company.
Work with Compliance, Risk, Finance, HR, colleagues in the Legal department, and business executives to investigate and resolve matters effectively.
Strengthen controls and report to leadership.
Translate investigative findings into control improvements that prevent recurrence. Report significant matters and trends to senior leadership.
What We Look For In You
Prior service as an Assistant United States Attorney is required. Experience as a trial attorney in the DOJ Criminal Division, such as the Fraud Section, will also be considered.
A substantial record of investigating, charging and trying federal white-collar and fraud cases, including leading grand jury investigations and working closely with federal agents.
A deep understanding of what makes a case prosecutable and what prosecutors and police need before they will accept one.
In-house or law firm experience leading investigations required.
A JD and membership in a US state bar.
15+ years of legal experience.
Experience leading and developing investigative teams, including former law enforcement professionals.
Sound, proportionate judgment, with a commitment to fairness and due process for the individuals under investigation.
Exceptional written and oral communication skills, with the ability to deliver clear findings to senior leadership and credible presentations to law enforcement.
Discretion, integrity and composure in sensitive, high-stakes matters.
A self-starter who is comfortable working independently in a fast-paced, growth-stage, multicultural environment and across global time zones.
Ability to collaborate effectively across functions and earn the trust of stakeholders at every level.
Nice to Haves
Experience in financial services or digital assets.
Exposure to cases involving cryptocurrency or blockchain tracing.
Experience engaging with foreign law enforcement and prosecutors, or with international cooperation mechanisms such as MLATs, particularly in Asia-Pacific.
Supervisory experience within a US Attorney's Office, such as a unit chief or deputy chief.
Global investigations experience.
Language capabilities: Mandarin
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!
OKX
Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $240,426 - $360,639
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
#LI-SK1 #LI-HYBRID
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: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
Alpaca's product team is looking for a Product Manager to own Alpaca's regulated crypto trading and yield surface: spot or perps exchange, fiat and stablecoin funding rails, staking / lending and the crypto API that partners build on.
You will partner deeply with engineering, compliance, legal, partnerships, and the broader Alpaca product team to ship regulated crypto infrastructure at scale. You will help shape and grow the crypto product itself, and you will be expected to provide early signal on US policy changes rather than react after rules formalize.
Things You Get To Do:
Own the spot crypto exchange product surface - pair coverage, order types, availability in various jurisdictions and the partner facing experience for trading crypto on Alpaca.
Lead integrations that unlock funding and liquidity with LPs and custodians. Own the stablecoin funding flow, including paths for USDC and other regulated / GENIUS-aligned stables.
Work with partners to understand crypto needs for fintechs, neobrokers, and institutional platforms. Expand supported networks and coins that balances partner demand and custody readiness.
Drive staking and lending / earn product design within regulatory and ops constraints.
Shape a crypto API surface that treats developers and agents as primary customers: SDKs, reference integrations, changelog discipline.
Lead and execute the product case for crypto perps.
Who You Are (Must Haves):
Excited about what Alpaca is building and ready to own a core regulated crypto product surface.
Bachelor's degree in computer science, engineering, finance, or equivalent.
5+ years of experience in Product Management, Engineering, and/or starting a startup, preferably within crypto exchanges, brokerage, market making, custody, or financial infrastructure.
Demonstrated depth on at least one core crypto product surface at production scale: spot trading / exchange, custody / wallets, fiat or stablecoin funding rails, staking / earn or derivatives / perps.
Strong understanding of crypto market structure - order books, liquidity providers, spreads, slippage, settlement, and how B2B / API-first platforms differ from retail-only exchanges.
Experience shipping in a regulated environment alongside Legal, Compliance, Risk, and Operations - comfortable with ambiguity and real-time tradeoffs.
Proven ability to run partner / customer discovery and turn it into a prioritized roadmap; excellent written and verbal communication across engineering and executive audiences.
Business acumen to weigh ROI, partner demand, regulatory risk, tech feasibility, time, and budget.
AI-native PM workflow; AI is part of your daily stack in getting work done.
Who You Might Be (Nice-to-Haves):
Direct experience at a crypto exchange, broker-dealer, custodian, market maker, or institutional crypto infrastructure provider.
Experience building developer-facing crypto APIs used by quants, algo traders, or automated / agentic systems.
Familiarity with staking, lending / earn, perpetual futures, and the operational and regulatory constraints of offering them through a licensed entity.
Background combining regulated financial-product context (broker-dealer, payments, custody) with crypto native infrastructure (wallets, L1/L2, on-chain settlement).
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior Software Engineer, ML Platform,
you will work on our ML Data Team
and be instrumental in
architecting, implementing, and maintaining foundational ML infrastructure
powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems.
Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage.
Build tools that help teams assess signal importance and make informed lifecycle decisions.
Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata.
Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.
Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.
Who You Might Be:
5+ years of experience in the ML Platform domain.
Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN).
Experience with large-scale batch and streaming data processing.
Experience building production-quality systems with testing, monitoring, observability, and reliability practices.
Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$303,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
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seniorAustria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom
УдалённоExperience in fund accounting, private equity, or hedge fund taxation, particularly candidates from firms specializing in these areas
ОфисleadAbu Dhabi, United Arab Emirates; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Amman, Jordan; Kuwait City, Kuwait; Doha, Qatar; Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation
Singapore, Singapore
ОфисEbene
Bangalore, India; Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers
seniorBangalore, India
ГибридleadГеография найма не уточнена
seniorOakland, California, United States, AMER
headNew York, United States; A self-starter who is comfortable working independently in a fast-paced, growth-stage, multicultural environment and across global time zones
УдалённоГеография найма не уточнена
УдалённоseniorRemote - United States
San Francisco, CA | New York City, NY | Seattle, WA
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