Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process.
Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.
THE OPPORTUNITY
- You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption.
- Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions.
- Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling.
- Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions.
- Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress.
- Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems.
- Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks.
- Improve data timeliness, enabling near-real-time insights where they add business value.
- Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.
WHAT YOU BRING
- 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
- Strong SQL and Python skills, including writing, debugging and maintaining production code.
- Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation.
- Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools.
- Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders.
- A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve.
- Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes.
- Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation.
- Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.
NICE TO HAVES
- Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations.
- Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process.
Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.
THE OPPORTUNITY
- You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption.
- Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions.
- Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling.
- Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions.
- Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress.
- Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems.
- Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks.
- Improve data timeliness, enabling near-real-time insights where they add business value.
- Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.
WHAT YOU BRING
- 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams.
- Strong SQL and Python skills, including writing, debugging and maintaining production code.
- Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation.
- Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools.
- Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders.
- A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve.
- Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes.
- Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation.
- Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.
NICE TO HAVES
- Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations.
- Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
As Head of Product you own product direction and priorities for the cloud platform: which problems deserve our attention, what success looks like, and what we should stop doing.
headHelsinki
Не хотите искать каждый день?
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— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;
Maven is looking for a Director of Marketing Operations who will own the systems, data, and reporting infrastructure behind our B2B Growth Marketing team — from HubSpot/Salesforce instrumentation to pipeline attribution to the budget that funds it all. Marketing Technology, Data & Attribution.
Location: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
- Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement
- Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
- Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
- Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
- Lead architectural decisions and mentor engineers as the team scales
- Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load
- Contribute to roadmap planning, technical strategy, and cross-functional alignment
KEY PROBLEMS YOU’LL HELP SOLVE
- Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience
- Making credential and identity handling for tool access both airtight and fast
- Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed
- Keeping latency low and reliability high as traffic scales from early adopters to production fleets
WHO YOU ARE
Required Qualifications:
- 6+ years of backend engineering experience with production-grade systems
- Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design
- Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines)
- Fluency in Go, and/or Rust (both preferred)
- Familiarity with AI/ML platforms or model serving infrastructure
- A strong product mindset—you're excited about building developer-facing tools
- Ownership mentality with a bias for shipping, learning, and iterating
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Bonus Qualifications:
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
- Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
- Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on
- Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
- Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
- Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
KEY PROBLEMS YOU’LL HELP SOLVE
- Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
- Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
- Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
- Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
- Set the bar for developer experience through intuitive APIs and first-class observability
WHO YOU ARE
Required Qualifications
- 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
- Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
- Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
- Fluency in Go and/or Rust
- A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
- A strong product mindset, with real experience shaping technical direction rather than only executing against it
- Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
BONUS QUALIFICATIONS
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth 2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
- A track record of setting technical standards that other teams or engineers went on to adopt
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business.
This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it.
Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it.
This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it.
WHAT YOU'LL DO
- Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow
- Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones
- Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them
- Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after
- Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand
- Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose
- Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice
- Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product
- Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit
- Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy
WHAT WE'RE LOOKING FOR
- 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one
- Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly
- Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business
- Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why
- Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast
- A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now
- The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority
- Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback
NICE TO HAVE
- SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog
- Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash
- Audit prep or SOX readiness experience
Compensation: $155,000 - $185,000 salary + options
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business.
This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it.
Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it.
This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it.
WHAT YOU'LL DO
- Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow
- Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones
- Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them
- Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after
- Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand
- Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose
- Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice
- Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product
- Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit
- Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy
WHAT WE'RE LOOKING FOR
- 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one
- Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly
- Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business
- Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why
- Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast
- A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now
- The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority
- Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback
NICE TO HAVE
- SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog
- Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash
- Audit prep or SOX readiness experience
Compensation: $155,000 - $185,000 salary + options
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
LangChain is looking for a GTM Enablement Program Manager to help keep our growing go-to-market organization informed, enabled, and ready to execute as our products and company evolve.
We operate in one of the fastest-moving areas of technology. Our products evolve quickly, new capabilities launch frequently, and the knowledge our GTM teams rely on is constantly changing. As we scale, we need a strong operating system that ensures sellers understand what we're building, why it matters, how to talk about it, and where to find the information they need.
This role will own three critical areas of our enablement engine: Product Enablement, GTM Knowledge & Content, and Enablement Communications.
You'll partner closely with Product, Engineering, Product Marketing, Sales, and Revenue Operations to turn product changes and company knowledge into scalable training, resources, communications, and systems for GTM.
Working with cross funtional subject matter experts, your job is to turn messaging, trainings, and artifacts into field readiness—making sure GTM can learn it, find it, understand it, and use it.
WHAT YOU'LL DO
OWN PRODUCT ENABLEMENT
- Own the product enablement engine. Stay closely connected to Product, Engineering, and Product Marketing to understand what's changing, determine the impact to GTM, and partner with these SMEs to build practical field enablement.
- Own GTM readiness for product launches and major changes. Build the enablement plan from initial intake through launch, including training, communications, resource publication, reinforcement, and ongoing maintenance.
- Build and maintain product training. Create and continuously improve product curriculum in our LMS and Content Hub so sellers have a clear learning path across our platform, products, use cases, positioning, and value.
- Run live product enablement. Determine when asynchronous learning isn't enough, coordinate the right SMEs, and facilitate live sessions, workshops, demos, and deeper product training.
- Measure readiness and close gaps. Use feedback, participation, knowledge checks, field questions, and other signals to understand where GTM needs additional reinforcement.
OWN GTM KNOWLEDGE & CONTENT
- Own the GTM knowledge system. Make it easy for sellers to quickly find accurate, relevant, and current information across our Content Hub, LMS, and other GTM systems.
- Build scalable information architecture and governance. Establish clear taxonomy, templates, ownership, review cadences, freshness standards, and archival processes that keep GTM knowledge organized and current.
- Manage the content lifecycle. Ensure training, product resources, competitive guidance, FAQs, recordings, and other enablement materials stay current as the business changes—and remove or archive information that is no longer relevant.
- Operationalize canonical GTM content. Partner with Product Marketing and other subject matter experts to ensure approved messaging, competitive guidance, objection handling, and other core GTM knowledge is consistently structured, maintained, and accessible.
- Build for humans and AI. Structure GTM knowledge so both sellers and AI-powered tools can reliably retrieve and use accurate context. Explore ways AI can improve content discovery, maintenance, gap detection, and enablement workflows.
OWN ENABLEMENT COMMUNICATIONS & CADENCE
- Own the GTM enablement communications engine. Manage Weekly Trace and other recurring enablement communications, consolidating product, program, and company updates into clear guidance for the field: What changed? Why does it matter? Where can I learn more? What do I need to do?
- Run our recurring enablement cadence. Own the operational execution behind weekly enablement, including the calendar, SME coordination, materials, recordings, recaps, and follow-through.
- Create signal from noise. Build predictable ways for GTM to stay current without requiring sellers to monitor dozens of Slack channels, documents, and product updates.
- Improve the enablement operating system. Identify breakdowns in how information moves from Product, Engineering, Product Marketing, and other teams into GTM—and build scalable systems rather than continually working around them.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in GTM enablement, product enablement, sales enablement, enablement operations, or a related role in a B2B technology company.
- Experience owning product enablement programs, including product launches, training, ongoing curriculum, and field communications.
- Experience building or managing product training for Sales or broader GTM audiences.
- Strong technical curiosity. You don't need to be an engineer, but you should want to understand technical products deeply enough to explain them clearly and accurately.
- Ability to translate complex product information into practical seller guidance: what it is, why it matters, who it's for, how to position it, and when to use it.
- Experience organizing and maintaining a GTM knowledge or content system—not just creating individual pieces of content.
- Strong understanding of content governance, information architecture, taxonomy, and knowledge lifecycle management.
- Strong written communication skills and the ability to turn a large volume of information into clear, concise, actionable guidance.
- Strong program management skills. You can manage multiple workstreams, SMEs, launches, deadlines, and recurring programs without losing the details.
- High ownership and follow-through. You don't wait for someone to tell you that a launch isn't ready, information is outdated, or a process is broken—you proactively drive it to resolution.
- A builder mentality. You're comfortable starting with an imperfect system, creating a V1, learning from users, and continuously improving it.
- Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Revenue Operations.
- AI fluency and curiosity about how structured knowledge can power agents, search, content generation, and internal GTM workflows.
- Experience with knowledge-management platforms such as Notion and learning-management systems such as WorkRamp is a plus.
- Familiarity with developer tools, AI/ML infrastructure, LLM applications, or agentic AI is a plus.
Compensation: $150,000-180,000 base salary + options
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Hong Kong
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken and Payward VIP team supports the firm’s highest-value private clients: high-net-worth individuals who expect a premium, secure, and deeply tailored experience. We ensure Kraken remains the exchange of choice for VIPs through white-glove relationship management, personalized trading enablement, and high-impact benefits.
We are looking for a Head of VIP, Asia to lead and grow Payward VIP presence across the region. This is a player-coach role: you will build and lead a small, high-performing team while personally owning strategic client relationships, originating new business, and shaping the regional growth playbook.
You will set the standard for how Kraken serves, retains, and grows its most valuable private clients in Asia. You will be equally comfortable in a senior client meeting, building an introducer network, coaching a relationship manager, hosting a VIP event, and partnering internally to remove the product or operational barriers that cost us high-value business.
Payward VIP program is unique, and we intend to keep it that way. We don’t copy what other exchanges and desks do. You’ll take what makes our program different and adapt it to how Asia’s VIP clients actually trade, network, and build trust. That means testing new ideas, learning fast, dropping what doesn’t work, and scaling what does. If you’re bold, comfortable with ambiguity, and humble enough to fail fast and move on, this is your seat.
THE OPPORTUNITY
- Lead, coach, and develop VIP relationship managers in Asia; establish clear standards for client coverage, pipeline management, service quality, and commercial performance.
- Build the operating model for VIP growth across Asia, including territory coverage, account segmentation, referral strategy, events, and performance reporting.
- Own regional AOP growth, net deposits, client assets, trading volume, retention, and revenue performance.
- Build a repeatable pipeline of qualified high-value clients through direct outreach, referrals, introducers, family offices, proprietary trading firms, OTC desks, miners, project treasuries, and high-volume traders.
- Represent the voice of Asia’s VIP client base internally: identify competitive threats, regional market dynamics, product gaps, and opportunities that influence where private-client capital trades.
PERSONALLY OWN STRATEGIC CLIENT RELATIONSHIPS
- Own and grow Kraken's most strategically important private client relationships across Asia, bringing our full VIP offering - ranging from trading and asset management to other services - to market locally, within Kraken's compliance and risk framework.
- Serve as the senior relationship owner for Kraken’s largest and most strategically important private clients across Asia.
- Bring Kraken’s VIP and private-client offering to market locally, including spot, margin, futures, OTC execution, earn and yield opportunities, lending, and tailored benefits.
- Build trusted, durable relationships while ensuring every client interaction and commercial initiative operates within Kraken’s licensing, compliance, and risk framework.
BUILD REGIONAL PRESENCE AND PARTNERSHIPS
- Develop Kraken’s presence in Asia’s VIP trading and investor communities, including private trading groups, investor clubs, KOL and trader networks, and closed-door investor circles.
- Design and lead high-quality regional programming, including VIP dinners, trader meetups, conference-adjacent events, and partner activations, in collaboration with Marketing and Regional teams.
- Build and manage introducer and referral partnerships that create a durable source of qualified VIP opportunities.
- Partner with Product, Marketing, Compliance, Banking, Client Service, and Operations to launch regional growth initiatives and improve the client experience.
WHAT YOU BRING
- 7+ years of experience in VIP relationship management, private banking, brokerage, private-client sales, account management, or business development, including meaningful experience in crypto or digital assets.
- Demonstrated people leadership experience, with the judgment and practical coaching ability to lead a small team while remaining hands-on with strategic clients and revenue opportunities.
- A strong personal network among Asia’s crypto HNWIs, traders, family offices, OTC desks, funds, or trading communities. Experience across Greater China, Hong Kong, Taiwan, or Singapore is especially valuable.
- A proven record of personally originating and converting new business, not solely servicing an existing client book.
- Deep knowledge of crypto market structure and trading solutions, including spot, margin, futures, OTC, lending, tokenized equities, and yield/earn products.
- Strong commercial judgment and comfort managing KPIs including assets on platform, net deposits, revenue, trading volume, retention, pipeline conversion, and client portfolio growth.
- Native or near-native Mandarin and fluent English.
- Comfort operating across multiple regulated Asian jurisdictions, with sound judgment on when to engage Compliance and Risk partners early.
- Willingness to travel up to 30% across the region for strategic client meetings, events, and conferences.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT THE ROLE:
We’re looking for a Head of IT to build and own the systems that enable everyone at Modal to work effectively and securely.
You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company.
This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it.
WHAT YOU’LL WORK ON:
Identity & Access
- Own employee identity and access across internal systems and SaaS applications
- Build scalable onboarding, offboarding, and access lifecycle workflows
- Improve SSO, MFA, least privilege, and access management in partnership with Security
Devices & Endpoints
- Own the lifecycle and security of employee devices
- Build and maintain device management, configuration, patching, and endpoint security
- Automate provisioning and make onboarding as close to zero-touch as possible
Internal Systems & Automation
- Own and improve the SaaS applications and internal systems we depend on
- Build integrations and automate workflows across identity, HR, finance, and other business systems
- Evaluate and deploy new internal capabilities, including AI tools and integrations
- Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products
IT Operations
- Own employee support, hardware, asset management, procurement, and relevant vendor relationships
- Build reliable, maintainable processes rather than scale through manual work
- Identify recurring problems and solve them at the system level
Build the IT Function
- Define the technical direction and operating model for IT at Modal
- Establish the systems and processes we’ll need as the company grows
- Determine when and where additional IT capacity is needed, and build the team over time
YOU MAY BE A FIT IF:
- You’ve owned IT or corporate technology in a fast-growing technology company
- You have a strong understanding of identity, device management, SaaS administration, and endpoint security
- You have strong technical skills and are comfortable working with APIs, scripting, automation, and system integrations
- You’ve designed and automated employee lifecycle and access-management workflows
- You have good security judgment and experience working closely with Security and Engineering
- You can independently identify problems, make pragmatic technical decisions, and drive them through implementation
- You’re comfortable being hands-on today while building the systems and team needed as the company grows
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Kraken's Consumer Creative & Design team owns end-to-end creative execution for Kraken Consumer and Krak. Our disciplines cover performance ad creative, brand and static design, 3D design, motion design, AI video creative and web design. We turn growth strategy into creative that converts across paid, owned and organic surfaces. We work closely with Product Marketing, Performance Marketing, Content & Social, Lifecycle and our regional leads, and we hold the line on brand and messaging quality on everything that ships.
THE OPPORTUNITY
As our Staff Brand Designer, you come to the table with a strong design vision and set the visual standard for Kraken. You design static work and simple 3D assets for launches, campaigns and always-on activity, and you make sure it looks like one brand wherever someone meets it. You can take a brief or proactive idea to a finished, approved asset set, and you're equally comfortable building a clean, systemized layout in Figma and creating simple static 3D assets in Cinema 4D or Blender.
You report to the Creative Lead, Consumer Creative & Design, who gives you direction, feedback and cover in reviews. This is a senior individual contributor role with no direct reports. Senior here means craft and ownership: you set the bar for brand and visual quality on the team, you build systems others can work from, and you're the person colleagues come to with design questions.
WHAT YOU'LL DO
- Design static 2D creative and simple 3D assets for Kraken Consumer and Krak across product launches, campaigns, promotions and always-on activity.
- Create simple static 3D assets in Cinema 4D or Blender, using ready-made models and elements where appropriate, and contribute to reusable asset libraries and templates.
- Apply and extend the Kraken Consumer brand across surfaces, from organic social, lifecycle and web to illustration and foundational projects like key visual updates, keeping everything cohesive and recognizable without making it repetitive.
- Design initiative-specific work, including a distinct look and partner-branded assets for launches such as IPOs, and purpose-built illustration for go-to-market and product moments.
- Build scalable systems: Figma component libraries, marketing templates and modular campaign kits with localization-ready layouts, so other designers, other teams and our automated workflows can produce on-brand work quickly.
- Use AI-assisted production as a core part of how the brand gets made, and know when it speeds the work up and when it doesn't.
- Bring ideas to briefs rather than executing them literally. Push back with a point of view when a brief is unclear or the idea can be stronger.
- Version and localize work across markets, languages and formats, with layouts that hold up under translation and market-specific requirements.
- Partner with Product Marketing, compliance and regional teams to get work approved without losing the idea.
- Collaborate closely with our motion, web, performance and AI video designers so 3D and static work travels well across formats.
- Hold a high craft bar on your own work and give clear, constructive feedback on others'.
WHAT YOU'LL BRING
- 7+ years of brand and static design experience at a high-volume in-house team or agency, ideally in fintech, crypto or another regulated category (a competitor or similar company is a big plus).
- A portfolio that proves it, submitted with your application. Include the brief or objective alongside the work and the result where you're able to share it. We'd like to see brand and static work, at least one simple 3D piece with a short note on your process, an example of work you adapted for multiple formats or markets, and an example of a system or template set that other people built from.
- Basic to intermediate capability in Cinema 4D or Blender and the surrounding 3D workflow, including modeling, lighting, materials and rendering, with work or personal projects to show for it.
- Expert-level Figma: components, auto layout, variables, and files that are easy to hand off and build on.
- Strong layout, hierarchy, type and composition that hold up at small sizes and in multiple languages.
- Hands-on experience with AI-assisted production tools, and good judgment about where they belong in a workflow.
- Comfort working inside regulatory constraints, including layouts that accommodate risk warnings, disclaimers and market-specific requirements without compromising the design.
- Working fluency in Adobe CC (Photoshop, Illustrator, and After Effects for light motion).
- Speed without sloppiness. You're comfortable with fast turnarounds, several review rounds and late changes.
- A solid instinct for plain language and clear communication: value first, no hype, no jargon.
- Curious about investing and crypto at a minimum, and able to make the space legible to others.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Kraken's Consumer Creative & Design team owns end-to-end creative execution for Kraken Consumer and Krak. Our disciplines cover performance ad creative, brand and static design, 3D design, motion design, AI video creative and web design. We turn growth strategy into creative that converts across paid, owned and organic surfaces. We work closely with Product Marketing, Performance Marketing, Content & Social, Lifecycle and our regional leads, and we hold the line on brand and messaging quality on everything that ships.
THE OPPORTUNITY
As our Staff Brand Designer, you come to the table with a strong design vision and set the visual standard for Kraken. You design static work and simple 3D assets for launches, campaigns and always-on activity, and you make sure it looks like one brand wherever someone meets it. You can take a brief or proactive idea to a finished, approved asset set, and you're equally comfortable building a clean, systemized layout in Figma and creating simple static 3D assets in Cinema 4D or Blender.
You report to the Creative Lead, Consumer Creative & Design, who gives you direction, feedback and cover in reviews. This is a senior individual contributor role with no direct reports. Senior here means craft and ownership: you set the bar for brand and visual quality on the team, you build systems others can work from, and you're the person colleagues come to with design questions.
WHAT YOU'LL DO
- Design static 2D creative and simple 3D assets for Kraken Consumer and Krak across product launches, campaigns, promotions and always-on activity.
- Create simple static 3D assets in Cinema 4D or Blender, using ready-made models and elements where appropriate, and contribute to reusable asset libraries and templates.
- Apply and extend the Kraken Consumer brand across surfaces, from organic social, lifecycle and web to illustration and foundational projects like key visual updates, keeping everything cohesive and recognizable without making it repetitive.
- Design initiative-specific work, including a distinct look and partner-branded assets for launches such as IPOs, and purpose-built illustration for go-to-market and product moments.
- Build scalable systems: Figma component libraries, marketing templates and modular campaign kits with localization-ready layouts, so other designers, other teams and our automated workflows can produce on-brand work quickly.
- Use AI-assisted production as a core part of how the brand gets made, and know when it speeds the work up and when it doesn't.
- Bring ideas to briefs rather than executing them literally. Push back with a point of view when a brief is unclear or the idea can be stronger.
- Version and localize work across markets, languages and formats, with layouts that hold up under translation and market-specific requirements.
- Partner with Product Marketing, compliance and regional teams to get work approved without losing the idea.
- Collaborate closely with our motion, web, performance and AI video designers so 3D and static work travels well across formats.
- Hold a high craft bar on your own work and give clear, constructive feedback on others'.
WHAT YOU'LL BRING
- 7+ years of brand and static design experience at a high-volume in-house team or agency, ideally in fintech, crypto or another regulated category (a competitor or similar company is a big plus).
- A portfolio that proves it, submitted with your application. Include the brief or objective alongside the work and the result where you're able to share it. We'd like to see brand and static work, at least one simple 3D piece with a short note on your process, an example of work you adapted for multiple formats or markets, and an example of a system or template set that other people built from.
- Basic to intermediate capability in Cinema 4D or Blender and the surrounding 3D workflow, including modeling, lighting, materials and rendering, with work or personal projects to show for it.
- Expert-level Figma: components, auto layout, variables, and files that are easy to hand off and build on.
- Strong layout, hierarchy, type and composition that hold up at small sizes and in multiple languages.
- Hands-on experience with AI-assisted production tools, and good judgment about where they belong in a workflow.
- Comfort working inside regulatory constraints, including layouts that accommodate risk warnings, disclaimers and market-specific requirements without compromising the design.
- Working fluency in Adobe CC (Photoshop, Illustrator, and After Effects for light motion).
- Speed without sloppiness. You're comfortable with fast turnarounds, several review rounds and late changes.
- A solid instinct for plain language and clear communication: value first, no hype, no jargon.
- Curious about investing and crypto at a minimum, and able to make the space legible to others.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts. The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams.
What You’ll Be Doing:
Join as an early member of a high growth team working together to solve technical and customer problems the right way
Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers
Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility
Deliver product and technical presentations to potential and existing customers
Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape
Drive product conversations based on need and problems learned during customer interactions
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material
What Makes You a Great Fit:
Ideally located in Canada
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running.
We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership
We are a remote-first company so you would need to learn to work and collaborate with an international team
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life!
Compensation & Rewards:
In the Canada the OTE (On-Target Earnings) compensation range for this role is CAD 196,000 - CAD255,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Argentina; Ukraine; Poland; Brazil
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Senior QA Engineer to join a team building and validating AI-powered and traditional features for a leading personal finance platform. You’ll own quality across web, mobile, and API — with a particular focus on testing AI/LLM-integrated components where standard deterministic methods don’t apply.
This role requires someone who understands the fundamental difference between testing software that has a right answer and evaluating AI outputs that have a probability distribution — and who has done both in production.
WHAT YOU’LL DO
- Plan, design, and execute test cases for AI-powered components and traditional features, applying the appropriate methodology — eval-based or deterministic — based on the target behavior.
- Analyze traditional functional requirements as well as AI model behavior specifications, prompt outputs, and edge-case scenarios.
- Turn business requirements, user flows, and business process procedures into comprehensive test plans, test cases, and test scripts.
- Perform manual feature testing across platforms and verify bug fixes.
- Create clear, detailed defect reports and document unexpected AI model responses, hallucinations, and performance regressions.
- Assist in developing QA practices for emerging technologies including AI frameworks, and disseminate best practices across the team.
- Become a subject matter expert in core systems, interfaces, business processes, and reporting tools.
- Partner closely with functional teams, engineers, and IT in a global environment with aligned LATAM working hours.
REQUIRED SKILLS & EXPERIENCE
- 5–7 years of experience in software testing across web, mobile, and API.
- Hands-on experience with Playwright in a production testing environment — this is a primary requirement for this role.
- Hands-on AI feature testing experience — validating AI/LLM-integrated products for accuracy, relevance, robustness against adversarial prompts, edge cases, and safety/toxicity.
- Clear understanding of eval vs. deterministic testing — the difference between pass/fail based on exact input/output and evaluating probabilistic AI outputs using human-in-the-loop evaluations, score metrics, benchmark datasets, and semantic evaluation.
- Strong understanding of web and mobile application development lifecycles including iOS and Android specifics.
- Proven experience in integration, regression, performance/load, and UAT.
- Hands-on knowledge of browser DevTools and log monitoring.
- Advanced proficiency in Jira and Confluence.
- Experience with test management systems.
PREFERRED QUALIFICATIONS
- Experience with HTML proxy tools such as Charles Proxy or Fiddler.
- Hands-on knowledge of Xcode logs and ADB logs.
- Experience in the financial services or fintech domain.
- Bachelor’s degree in Computer Science or equivalent.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
УдалённоseniorBrazil; Peru; Colombia; Argentina; Canada; Mexico; Chile; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorSan Francisco, CA or Seattle, WA
УдалённоSan Francisco, CA or Seattle, WA
ОфисNew York, NY
ОфисSan Francisco, CA
ОфисSan Francisco, CA
УдалённоheadWe consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
ОфисheadNew York
УдалённоUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
seniorUnited States (Remote)
УдалённоArgentina; Ukraine; Poland; Brazil
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