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
What You’ll Be Doing
Own product strategy and roadmap for the
DEX
Trading
product, covering Token Market, Swap (Aggregator), Bridge, Limit Order, and emerging trading primitives.
Partner closely with the
Growth & Operations
team to ship initiatives that drive user acquisition, activation, retention, and trading volume, turning growth hypotheses into PRDs, prototypes, and launched features.
Identify and prototype
new product opportunities
in DEX, evaluating emerging protocols, narratives, and paradigms (intent-based trading, MEV protection, new L1/L2s, etc.) with
AI-augmented research and competitive scanning
to move faster and broader than manual analysis allows.
Lead end-to-end execution: drive PRDs, prototypes, and supporting documentation with
AI in the loop
for higher velocity and quality, then partner with R&D, UI/UX, QA, and Marketing through to launch.
Define, instrument, and monitor core product KPIs (Volume, MAU, retention, route quality, etc.); run your own data analysis with
AI-assisted
SQL
, exploratory queries, and insight synthesis
to continuously optimize performance.
What We Look For In You
3+ years in product management, with 2+ years on consumer-facing crypto or DeFi products. Strong DeFi experience as a power user or contributor may substitute for part of the PM tenure.
Deep understanding of the DEX stack:
AMMs, order books, aggregation & routing, cross-chain bridges, perpetuals, MEV
, and the trade-offs between them.
Strong data fluency: comfortable writing your own SQL / Dune queries instead of waiting on an analyst.
Power user of modern AI tools
(e.g. Claude, ChatGPT, Cursor, AI coding/data agents) : actively integrates them into daily PM workflows for research, writing, prototyping, and data analysis. Able to demonstrate concrete examples of how AI has accelerated your output.
Strong individual contributor ownership, able to drive projects end-to-end across cross-functional teams without people-management leverage.
Fluent written and verbal communication in English and Chinese.
Bachelor's degree or higher.
Nice to Have
Prior Product Manager at a leading DEX, Aggregator, Perp DEX, or Bridge (Uniswap, Jupiter, 1inch, GMX, dYdX, CoW, Across, etc.), etc.
Demonstrable track record as a heavy DeFi user, published research, sizeable on-chain footprint, governance participation, or recognized protocol contributions.
Familiarity with intent-based architectures, solver networks, TEE, or other emerging DeFi primitives.
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!
#LI-MX1
#LI-ONSITE
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: Europe - Remote; LATAM - Remote
About the role
With tens of millions of visitors every week, we strive to be the best in the industry for our users. You’ll be responsible for taking ownership of our existing and new database infrastructure for multiple platforms and facilitating releases into new regions. We wrote our systems from scratch about 4 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old technologies. There’s also freedom to research and implement new technologies into our stack as you and the team see fit.
Our Stack
Relational Databases: AWS Aurora MySQL/PostgreSQL
NoSQL Databases: MongoDB Atlas, AWS DocumentDB
Caching Layer: AWS ElastiCache, Valkey
Message Queue: Apache RocketMQ, RabbitMQ
Search Engine: ElasticSearch, Mongo Atlas
OLAP: Redshift
Monitoring & Alerting: Prometheus, Grafana, Loki, Alert Manager
Backup & Recovery: AWS Backup, Point-in-Time Recovery, Cross-Region Replication
Database Proxy: RDS Proxy
Infrastructure as Code: Terraform, Ansible
CI/CD Integration: Jenkins, ArgoCD, Github Action, Helm
Network & Security: AWS VPC, Security Groups, AWS Secrets Manager
Programming Languages: Golang, Python
Containerization: Kubernetes
What you'll be doing
Work in a team of DBRE and DevOps professionals
Design, implement, and maintain highly available database architectures to support business growth across multiple countries
Improve existing database infrastructure, including performance tuning, capacity planning, backup/recovery strategies, and disaster recovery procedures
Develop automation tools and internal platforms using Go/Python to streamline database operations, reduce manual interventions, and minimize human errors
Monitor database health and performance metrics, establish alerting mechanisms based on SLO burn rates, and proactively identify potential issues
Take ownership and responsibility for database operations including schema changes, data migrations, and production deployments
Collaborate with development teams to provide database design consultation, query optimization, and troubleshooting support
Conduct regular database security audits and implement security best practices to protect sensitive data
What you'll bring
4+ years experience tackling and managing advanced MySQL and MongoDB problems
A self-driven Database Reliability Engineer with proven experience in managing large-scale database systems in production environments
Have a deep understanding of database architecture, performance optimisation, high availability solutions, and database security best practices
Following the latest industry trends in database technologies and are passionate about building reliable, scalable data infrastructure
Have strong automation mindset and programming skills to build tools that improve database operations and reliability
Understand SLI/SLO/SLA concepts and have experience implementing reliability engineering practices
What’s in it for you
Sporty is a remote first company in pursuit of sustainability
A competitive salary + individual performance based bonuses every quarter
28 days paid annual leave
Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
Referral bonuses & flash bonuses
Top of the line equipment
Annual company retreats to provide great internal networking opportunities
Interview Process
Remote video screening with our Talent Acquisition Team
Online assessment via Hackerrank
Remote video interview with Team Members (60 Mins)
Final discussion with the hiring manager (60 mins)
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
Location: Porto, Portugal
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Portuguese and fluent in English.
Location:
Must be based in Portugal.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Netherlands
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Dutch and fluent in English.
Location:
Must be based in Netherlands.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Japan
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Japanese and fluent in English.
Location:
Must be based in Japan.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Italy
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Italian and fluent in English.
Location:
Must be based in Italy.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Spain
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Spanish and fluent in English.
Location:
Must be based in Spain.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: France
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in French and fluent in English.
Location:
Must be based in France.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Germany
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in German and fluent in English.
Location:
Must be based in Germany.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Lisbon, Portugal
About the Role
iCapital is looking for a
Full-Stack Engineer
to join the
iCapital Identity Platform
team. This role will help define and deliver new features for one or more of iCapital's software platforms. You will work closely with Product Management and Design throughout the software development lifecycle—scoping requirements, reviewing work in progress, and addressing issues uncovered during automated and manual testing.
The iCapital Identity frontend uses
TypeScript
,
React
,
GraphQL
, and
Relay
. The backend is built in
Elixir/Phoenix
, with some
Go
and
Node.js
, backed by
PostgreSQL
. Our infrastructure runs on
AWS
and is provisioned using
Terraform
.
Responsibilities:
Leverage an
Elixir + Phoenix
backend running on Amazon’s latest serverless technologies to power a
TypeScript + React
frontend
Support existing products and features while helping design and build new ones
Design and develop integrations with other iCapital platforms
Collaborate regularly with stakeholders and partners to gather requirements, seek feedback, and provide updates
Qualifications:
10–15+ years of experience in a related field
Strong understanding of modern browser technologies and web fundamentals (HTTP, cookies, CSP, CORS, etc.)
Extensive experience developing full-stack web applications
Experience in collaborative environments where engineers define project vision, influence technical strategy, and continuously learn
Strong relational database fundamentals
Excellent written and verbal communication skills
Demonstrated proficiency and professional success coding in at least one programming language
Experience with Linux and strong command-line skills
Preferred/Additional Experience
Writing production-ready code in
Elixir
,
Python
,
TypeScript
,
JavaScript
,
Go
, or
Ruby
Optimizing queries in
PostgreSQL
Developing with
React
,
Vue
,
Angular
, or
LiveView
Deploying and configuring applications on
Amazon Web Services (AWS)
Prior experience in a security or penetration-testing role
Querying
Google BigQuery
or other large relational datasets
Technical leadership, team lead, or management experience
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: United States; Canada; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure.
They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies.
Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators.
We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies.
In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies.
Key Responsibilities
GTM Strategy & Play Design
Recommend and implement
outbound GTM plays
tailored to each client’s ICP and growth stage
Advise clients on
sales tech stack selection and automation tools
Build
lead allocation systems
to distribute prospects across sales teams efficiently
TAM Mapping & Data Infrastructure
Build ICP models using firmographic, technographic, and behavioral signals
Map Total Addressable Markets (TAM) and prioritize high-value accounts
Implement signal tracking systems using first-party and third-party data sources
Identify decision-makers and buying committee members within target accounts
Clay & Data Enrichment
Build advanced Clay workflows for data enrichment and account research
Implement AI-driven enrichment pipelines to automate manual research
Create automation workflows using tools such as Clay, APIs, and workflow automation platforms
Develop account scoring systems to prioritize high-intent prospects
Outbound Campaign Development
Build personalized multi-channel outbound campaigns across email and LinkedIn
Create scalable outbound sequences while maintaining personalization
Analyze campaign performance and iterate based on results and client feedback
Client Communication & Collaboration
Participate in weekly client calls to discuss strategy and performance
Collaborate internally using Notion, Slack, and documentation tools
Contribute to internal GTM playbooks and process documentation
Deliver performance reports and growth recommendations
Requirements
Must Have
2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering
Experience working in B2B SaaS, startups, or agencies
Strong working knowledge of Clay
Curiosity about AI tools, automation, and growth experimentation
Strong problem-solving mindset and ability to learn quickly
Fluent English communication skills
Nice to Have
Experience with HubSpot or Salesforce CRM systems
Experience with workflow automation tools such as n8n
Experience working with sales automation or outbound tooling
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Dhahran, Saudi Arabia
Eram Talent is looking for a passionate and creative Graphic Designer to join our talented team. In this role, you will be responsible for conceptualizing and designing visually appealing materials that communicate our brand message effectively. You will work on a variety of projects including digital graphics, print media, branding elements, and promotional materials. The ideal candidate will have a strong artistic vision and the technical skills to bring ideas to life. At Eram Talent, we value innovation and creativity, and we encourage our designers to explore new techniques and stay updated with industry trends.
The primary role of the experienced graphic designer is to support less complex activities related to designing executive QBRs, business plan presentations, quarterly newsletters, recognition programs, awareness booths and media, employee engagement activities, and townhall events. Additionally, the graphic designer is expected to collaborate with the automation team to assist in designing dashboard platforms, visuals, and reports.
Responsibilities
Evaluate design instructions and determine requirements
Conceptualize visuals based on requirements
Suggest drafts and ideas for review
Create illustrations, visuals, and other designs using software or manual drawings
Use appealing colors and outlines in each graphic
Collaborate with group leaders and relevant stakeholders to produce final designs
Test graphics across various media platforms
Modify or redesign tasks based on feedback
Ensure all graphics and outlines are visually appealing and aligned with brand standards
Requirements
Bachelor's degree in Graphic Design, Visual Arts, or related field.
Proven experience in graphic design, with a strong portfolio showcasing your work.
Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and other design software.
Technical skills in Power BI
Creativity in developing illustrations and animations
Strong understanding of design principles, typography, and color theory.
Ability to work collaboratively in a team environment and communicate ideas effectively.
Detail-oriented with excellent time management skills.
Knowledge of web design and basic HTML/CSS is a plus.
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 exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
What you’ll do
Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.
Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.
Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.
Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.
Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.
Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.
Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.
Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.
You may be a good fit if you
Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.
Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.
Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.
Strong candidates may also have
Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.
Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.
Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.
Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.
Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.
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:
$405,000
—
$485,000 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.
О ПРОЕКТЕ
StarTribe — часть крупного международного холдинга с 10-летней историей. Мы разрабатываем высоконагруженные IT-продукты для мировых брендов. Сейчас мы усиливаем команду безопасности для тестирования внутренних и публичных приложений собственной разработки.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Pentesting: Проведение глубоких тестов веб-приложений (White/Grey/Black box).
— Remediation: Подготовка конкретных рекомендаций по устранению уязвимостей.
— Collaboration: Тесное взаимодействие с разработчиками для внедрения Security Best Practices.
— DevSecOps: Участие в разработке внутреннего инструментария и автоматизации проверок.
— Mentoring: Помощь коллегам и развитие экспертизы внутри команды.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: 4+ года в области AppSec и тестирования безопасности веб-приложений.
— Инструментарий: Экспертное владение Burp Suite и другими средствами анализа (Manual & Auto).
— Коммуникация: Умение аргументированно доносить риски до бизнеса и находить компромиссы с Dev-командами.
— Стек: Понимание специфики безопасности Node.js и PHP (дополнительно .NET / Go).
БУДЕТ ПЛЮСОМ
— Сертификации уровня OSCP, OSWE или Burp Suite Certified Practitioner.
— Активное участие в CTF, наличие рейтинга на HackTheBox.
— Наличие подтвержденных Bug Bounty репортов.
УСЛОВИЯ И БЕНЕФИТЫ
— Оформление: Официальный контракт по ТК Кипра.
— Релокация: Частичная компенсация аренды жилья и корпоративная мобильная связь.
— Бонусы: Годовой бонус по результатам, 4 дополнительных Day Off в году.
— Life Quality: Корпоративное питание, спорт, мероприятия для семей и активности для детей.
— Развитие: Скидка 50% на SkyEng, поддержка образовательных инициатив.
Location: USA (Remote) / Barcelona, Spain
Appodeal
is a dynamic US-based product company with a truly global presence.
We have offices in
Warsaw, Barcelona and Parkland (FL),
along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
Seek the Truth and Say It with Care:
We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t.
Leverage Data to Build Product:
Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them.
We Work Together to Serve Others:
No closed doors between teams. We share what we learn and win as one company first.
Insist on Higher Standards:
We don’t settle for “good enough”. We question it and push for better.
Passionate Curiosity Fuels Perseverance:
We ask “why”, take on ambiguous problems and keep going when they get hard.
Lean Startup Mentality: Start Small, Iterate Quickly:
Think big, ship an MVP first and learn fast. No big-bang releases.
Ownership and Accountability:
We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn.
We are seeking an
independent board director with deep experience operating ML-driven
products and data platforms at scale
.
This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where
data, experimentation, and machine l
earning directly drive product decisions, optimization, and revenue growth
.
The ideal candidate brings expertise in areas such as:
building strong
data science organizations;
designing
data platforms and experimentation infrastructure;
integrating ML into
product decision loops;
developing
operating cultures built around data and experimentation;
This is a
non-executive board position
, not an operating role.
Appodeal is building a
performance-driven technology platform powered by data and
machine learning
.
Our systems rely on:
large-scale data pipelines;
real-time decision systems;
automated optimization;
experimentation and model iteration.
The company operates an ecosystem including:
advertising infrastructure;
demand-side platform (DSP);
supply-side platform (SSP);
mobile game publishing and development.
Machine learning and data infrastructure are
core to the company’s long-term competitive
advantage
.
Strategic Focus of the Role
The mission of this role is to strengthen the board’s ability to guide the company in building a
world-class data and machine learning organization
.
The director will contribute a perspective on:
structuring and scaling
data science teams;
designing
experimentation-driven product cultures;
building
high-quality data platforms and infrastructure;
integrating ML systems into
business decision processes;
best practices for
data-driven product development;
organizational structures that allow ML systems to improve continuously.
This role focuses on
how ML-driven companies operate
, rather than on the underlying algorithms themselves.
Responsibilities
Board members are expected to:
Participate in
quarterly board meetings;
Provide
independent strategic guidance
to the CEO and leadership team;
Contribute to discussions around
data platform strategy and ML-driven product
development;
Provide perspective on
organizational structure for data science and ML teams;
Help evaluate
major technical and infrastructure investments;
Share insight from
companies where ML directly drives business outcomes;
Board members are
not involved in day-to-day operations
.
Ideal Background
We are looking for a
technology or product leader who has built ML-driven product
organizations
where data science plays a central role in revenue generation and product optimization.
Prior board experience is welcome but not required.
What We Value
We are looking for individuals who bring:
deep
experience running ML-driven product organizations:
strong
operational judgment;
experience building
data-driven engineering cultures;
an
independent mindset;
willingness to challenge assumptions constructively.
Time Commitment
Estimated commitment:
approximately four weeks per year
. This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us
and help shape the future of mobile app success!
Location: Springfield, United States
Position Summary
The Welding Engineer is responsible for developing and improving manufacturing weld processes and tooling for existing products, supporting new product launches, and overseeing welding personnel training and development. The role leads continuous improvement of welding processes, procedures, and specifications for both manual and robotic welding applications to support quality, efficiency, and production goals.
Key Responsibilities
• Lead continuous improvement initiatives for welding processes within manufacturing engineering, including manual and robotic welding applications.
• Serve as the subject matter expert for welding processes, including both manual and automated robotic welding systems.
• Develop and maintain Welding Procedure Specifications (WPS), Manufacturing Engineering Procedures, and Work Instructions.
• Maintain and manage all WPS documentation for W&C Suspensions products.
• Assist with the selection, procurement, and implementation of welding equipment, machines, and consumables.
• Develop training materials and conduct training for welding personnel and related technical positions.
• Work closely with R&D Engineering during product design and testing to ensure repeatable and high-quality weld processes.
• Provide technical guidance regarding manufacturing processes, equipment needs, process limitations, and plant planning.
• Analyze process and equipment performance data to establish standards for new or modified equipment, fixtures, and processes.
• Recommend and implement process improvements, layout changes, or new methods to reduce cost, improve quality, and expand manufacturing capability.
• Perform other duties as assigned while maintaining regular attendance.
Education
• Bachelor’s degree in Engineering required. Welding Engineering preferred.
• Formal training in robotic systems, metal fabrication, and arc welding is strongly preferred.
Minimum Qualifications
• 8+ years of experience in Manufacturing Engineering or Weld Engineering.
• Strong ability to read and interpret engineering drawings, GD&T, and weld symbols.
• Hands-on welding experience required. MIG and Pulse welding preferred.
• Strong knowledge of welding standards, particularly AWS D1.1 from the American Welding Society.
• Experience with SolidWorks CAD, WeldPro CAD, and FANUC robotic welding systems strongly preferred.
• AWS Certified Welding Inspector (AWS-CWI) preferred or ability to obtain certification within six months of employment.
Salary: $100 – $140 / year
Location: Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As an
IT Datacenter Technician
, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.
You’re welcome to work at our data center.
Your responsibilities will include:
Monitor and support the IT infrastructure as a shift worker
(day & night shifts)
.
Diagnose and resolve issues related to server and network hardware within the data center.
Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
Manage and maintain fiber optic and patch cable connectivity.
Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
Collaborate with internal teams to resolve technical and operational issues.
Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.
Requirements:
Solid understanding of server and networking equipment.
Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
Proven ability to diagnose and resolve hardware-related issues.
A proactive, responsible, and results-driven work attitude.
It will be an added bonus if you have:
Valid Category B driving license.
Basic knowledge of the Linux operating system and familiarity with command-line tools.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences.
Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs.
What You'll Do
- Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences
- Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance
- Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows
- Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools
- Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility
- Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems
- Write clean, maintainable, and well-tested code following software engineering best practices
- Participate in code reviews, mentor team members, and contribute to the growth of engineering culture
- Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback
- Participate in an On Call rotation to resolve critical issues impacting internal users
What You'll Need
- 5+ years of software engineering experience building and shipping production applications
- Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar
- Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend)
- Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.)
- Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems
- Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems
- Strong product sense and user empathy, with ability to translate business requirements into technical solutions
- Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices
- Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams
- Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback
- Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
senior
Porto, Portugal; Must be based in Portugal
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