Location: US - United States
Scopely is looking for a top-performing
Principal Technical
Designer to join our design organization remotely within the US or hybrid in our Culver City hub.
At Scopely, we care deeply about what we do and want to inspire play every day — whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
As Principal Technical Designer, you will sit between game designers and the full stack that carries their content from authoring to the player: Tools (the designer interface), Engine (how the game consumes data), and Infrastructure (how data is stored and delivered), and make sure designers are set up to build content quickly, safely, and at scale. You will turn how designers actually work into clear requirements for Tools, and build the templates, data structures, validation, and standards that let great ideas become shipped content without waiting on an engineer. Your hands-on work and expertise will unlock the team of designers to create more compelling content for our players, deliver it much more quickly, and eliminate points of friction throughout the process.
What you will do:
Own the content workflow experience for game designers, from first idea through live content, and raise it to a standard where authoring is fast, safe, and a pleasure.
Bridge game designers and the full data stack: turn designer pain points into clear, prioritized requirements for Tools, Engine, and Infrastructure, and translate their constraints back into practical guidance.
Measure how designers work today (iteration time, hand-offs, engineer-assist requests, content defects) and remove the biggest sources of friction.
Partner with Tools, Engine, and Infrastructure to specify authoring tools, data schemas, validation, and delivery, and act as the first and most demanding user during prototyping and rollout.
Build the technical foundations designers rely on: reusable templates, data architectures, and scripts that let designers create and tune content without code changes.
Own content architecture across projects: define how content is structured, authored, versioned, and delivered so teams share one coherent model instead of rebuilding per title.
Define and enforce content authoring standards for naming, data structure, documentation, and review, with validation that catches errors at authoring time rather than in QA or live.
Set the workflow and tooling strategy for the design organization: decide which workflows deserve investment and shape the roadmap with Tools, Engine, and Infrastructure leadership.
Serve as craft lead for technical design: set the discipline's standards and hiring bar, mentor designers and technical designers, and lead the team through transitions to new tooling.
Form small cross-discipline embedded workflow teams (design, tools, engineering) aimed at the highest-friction workflows, and partner with Art, UX, QA, and Live Ops so pipelines hold from authoring through release.
Envision content workflows that sustain a large live-operated game, with scalable quality, velocity, and cost.
What you will need:
8+ years in technical design, systems design, or tools-facing design roles on shipped games
Demonstrated experience partnering with tools, engine, and backend teams to define authoring tools, content pipelines, or data-driven workflows end to end
A track record of measurably improving designer iteration time or content throughput, including leading cross-discipline workflow efforts at scale (embedded teams, tooling migrations, or content architecture)
Strong scripting and data skills (for example Python, C#, Lua, visual scripting, spreadsheets, JSON, SQL) and the judgment to know when to build, configure, or ask Engineering
Deep understanding of data-driven design: config tables, schemas, templates, and validation, and how data is consumed by the engine and stored and delivered from the backend
Experience on live-operated or content-heavy games where content velocity and quality both matter
Strong communication and the ability to set standards and priorities across multiple teams without direct authority
Bonus Points:
Experience building or owning internal authoring tools, or designing workflows for creator or user-generated-content tools
Experience working directly in Unity, including custom editors and data-driven asset workflows
3+ years working in Free to Play
Experience on cross-platform products, and console / PC games
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range
$144,200
—
$215,000 USD
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
US - United States; For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Mexico City
About the Role
To the attention of candidates in Mexico City : Unfortunately, V
isa sponsorship is NOT provided for this position
.
Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.
Responsibilities
We are looking for a seasoned sales professional to join our Mid Market Sales Team responsible for covering Territory Sales in the LATAM area. The ideal candidate will possess both a sales and technical background that enables them to drive engagement at all levels with technical and non-technical buyers.
As an Mid Market Account Executive, you'll be responsible for developing and executing against a comprehensive territory/accounts plan as well as driving sales in a defined territory and/or account list to achieve revenue targets, working in collaboration with Cloudflare Partners. The person in this role will also assist in creating and articulating compelling value propositions for Cloudflare services.
Manage contract negotiations.
Generate and maintain a robust sales pipeline in coordination with Partners in assigned territory to maximize, achieve and exceed sales targets
Develop long-term strategic relationships with key partners to capture market share, acquiring new accounts and expanding Cloudflare services in existing accounts
Prospecting into target accounts to generate new sales opportunities.
Aligning with channel partners on go-to-market strategy.
Desirable Skills, Knowledge, and Experience
Bachelor's degree required
English/Spanish Fluency
3+ years experience selling technology solutions in a B2B model
Experience orchestrating cross-functional teams, including Partners sales and marketing teams to plan and execute a territory business plan
Experience supporting and building relationships highly preferred
Basic understanding of computer networking and “how the internet works”
Experience managing longer, complex sales cycles
Aptitude for learning technical concepts/terms (Technical background in engineering, computer science, or MIS a plus)
Strong interpersonal communication (verbal and written) and organizational skills
Self-motivated; entrepreneurial spirit
Comfortable working in a fast paced dynamic environment
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States of America (USA), North Carolina; United States of America (USA), South Carolina; United States of America (USA), Virginia
As the
Director of MDU Sales
at Lumos, you'll play a key leadership role in expanding our fiber footprint and driving growth across the multifamily and HOA markets. You'll lead and develop a high-performing sales team, shape market strategies, and build valuable partnerships with property owners, developers, and management companies to bring Lumos' fiber services to more communities.
This is an opportunity to make a meaningful impact on a growing business, combining hands-on sales leadership with strategic thinking to strengthen our MDU presence, accelerate revenue growth, and help scale the organization as Lumos continues to expand.
Why Lumos:
Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve.
Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next.
What You'll Do:
Lead, coach, and develop a team of MDU Account Executives, driving accountability, collaboration, and consistent achievement of sales goals.
Develop and execute MDU sales strategies that support revenue growth, market expansion, and long-term business objectives.
Establish market and account priorities, ensuring the team focuses on high-value opportunities and maintains a healthy, predictable sales pipeline.
Guide the team through complex MDU and HOA opportunities, including access, marketing, and bulk service agreements.
Cultivate strategic relationships with property owners, developers, management companies, and HOA organizations to expand Lumos' presence and grow portfolio-level partnerships.
Support high-value negotiations and serve as an escalation point for key accounts and strategic property relationships.
Monitor sales performance, pipeline activity, and KPIs to identify opportunities to improve productivity, conversion rates, and overall team effectiveness.
Partner across Marketing, Operations, Construction, Sales Engineering, Finance, and Legal to support successful property launches and remove barriers to growth.
Help shape and scale the MDU sales organization by strengthening sales processes, developing talent, and identifying new opportunities for growth.
What You'll Bring:
8+ years of MDU sales experience within the telecommunications industry, including at least 3 years in a sales leadership role.
Proven success leading sales teams, exceeding revenue targets, and driving growth in a competitive environment.
Strong understanding of MDU and HOA markets, including property ownership structures, bulk agreements, and the sales cycle.
Experience developing sales strategies, managing pipelines, and forecasting performance across multiple markets.
Strong consultative selling, negotiation, and relationship-building skills, with the ability to influence senior executives and key decision-makers.
Demonstrated ability to coach, mentor, and develop sales professionals while building a high-performing, accountable team.
Excellent communication, presentation, strategic planning, and problem-solving skills.
Proficiency with CRM platforms such as Salesforce and experience using sales data to drive decisions.
Ability to travel regionally for property visits, team development, and strategic meetings.
What Makes You a Great Fit:
Experience expanding MDU sales operations into new markets or scaling a growing sales organization.
Established relationships with multifamily developers, property management companies, HOA organizations, or portfolio-level decision-makers.
Experience negotiating complex bulk service agreements and developing long-term strategic partnerships.
A hands-on, collaborative leadership style with the ability to balance long-term sales strategy with day-to-day execution.
A proactive, solutions-oriented mindset and the ability to thrive in a fast-paced, evolving organization.
Physical Requirements:
Frequently operates a computer, phone, and standard office tools.
Ability to travel to properties and regional offices as needed.
Near-constant use of sight, speech, hearing, comprehension, and reasoning.
Must be able to sit or remain in a stationary position for extended periods.
Benefits & Perks:
Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow.
We have:
Comprehensive health, dental, and vision coverage.
Competitive compensation packages, including bonus options for eligible positions.
Paid Time Off & Paid Holidays.
Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
100% employer-paid life and disability insurance.
Employee Assistance Program (EAP) with access to professional support for life’s challenges.
401K plan w/ up to 5% employer contribution and a self-directed brokerage option.
Wellness program offering education and cash incentives for gym attendance and nutrition programs.
Employee referral bonuses.
Discounts on Lumos Fiber Internet for employees who live in our service areas.
Discounts on T-Mobile wireless service and select features for lines.
Applicant Eligibility Notice:
Applicants must be at least eighteen (18) years of age at the time of application.
At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals
with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation isn’t just the Best Place to Play - it’s also the Best Place to Work. We’ve thrilled gamers since 1994, when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Sony Interactive Entertainment has an extraordinary opportunity in the Tools, Framework and Infrastructure team! We are looking for a motivated and creative individual to help build test tools, frameworks, and infrastructure for delivering high quality software which drives the PlayStation experience.
As a Software Engineer II, you'll focus on building test frameworks and infrastructure, internal tools, and automating test workflows. You will collaborate closely with Quality Engineering and Software Engineering teams to build robust systems to ensure products delivered to customers and game studios are of the highest quality.
Responsibilities
Design, build, and maintain test frameworks, tooling and infrastructure for teams which develop and test software for the Playstation console.
Integrate automated tests into CI/CD pipelines using
Jenkins, GitHub Actions
or similar tools.
Collaborate with Quality and Development teams to enable testing of both hardware and software components in isolation.
Construct telemetry systems and dashboard in order to make data-driven decisions about technical feature development.
Build tooling for AI-driven testing initiatives
Required Qualifications
Master’s degree in Computer science, Electrical Engineering, or related fields
2+ years experience in designing, developing and maintaining tools and applications in
C++, Python, or Javascript
with a focus on building testing tools, and test frameworks at scale. (C++, JS experience preferred)
Experience with test automation frameworks (e.g. Appium, Mocha.js, etc.)
Demonstrated experience building and deploying high availability and high reliability services from scratch.
Hands-on experience with CI/CD systems like Jenkins, GitHub Actions or similar tools.
Comfortable working in Linux and Windows-based development environments.
Strong communication skills and the ability to work cross-functionally with engineering and QA teams.
Hands-on experience applying LLM and Agentic AI in practical engineering contexts such as test case generation, flaky test detection, log analysis, or workflow automation.
Strong debugging skills.
Nice-to-Have Skills
Experience with test/build automation on PCs, consoles or other embedded systems
Familiarity with Node,
React
Native/Web, Kubernetes, REST APIs
Experience with testing
audio peripherals
(headphones, earbuds, microphones) or
input devices
(controllers).
Working knowledge Docker-based test environments.
Game industry background
Exposure to integrating or building tools powered by large language models
Japanese Language familiarity a plus
Tools and Technologies you will work with
Jenkins (CI/CD), GitHub Actions, ArgoCD
Python
JavaScript, React, Next.js
C, C++ or Rust
Git, GitHub
Device connectivity tools (e.g., ADB, Bluetooth analyzers)
Containerization technology such as Docker, buildpack and Kubernetes
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$163,700
—
$245,500 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: United States
Workplace: Remote
Coder is looking for a Senior Account Executive to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver.
Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.
What you’ll do here
- Build and close a strong pipeline of enterprise accounts with large engineering organizations
- Generate qualified opportunities through outbound prospecting and inbound leads
- Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction
- Collaborate with Sales Engineers to deliver a thorough technical evaluation
- Partner with decision-makers and technical stakeholders throughout the sales cycle
- Travel as needed to support deals and customer relationships
What we’re looking for
- 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies)
- 3+ years selling into Fortune 500 companies
- Experience engaging with software engineering leaders and technical decision-makers
- Understanding of DevOps, CI/CD, platform engineering, and developer tools
- Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc)
- Comfortable with outbound motion and partnering with Sales Engineers
- Track record of exceeding quota and pipeline goals
- Strong communication skills - written, verbal, and in presentations
- Familiarity with different sales cycles (startup, midsize, enterprise)
- Creative, analytical, and highly self-motivated
- Ability to travel up to 15%
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- A technical background or meaningful experience with open source software
- Curiosity about emerging AI workflows, developer tools, and general tech trends
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
We're looking for a full-time Director of Business Development to lead our efforts to expand our client base. Develop, maintain, and implement a strategic business development plan.
Ripple is looking for an Account Executive to win new corporate clients for Ripple Treasury by developing pipeline and managing the full deal lifecycle across a European territory.
Cresta is looking for a Growth Marketer to scale organic search and AI answer engine visibility and run growth experiments on new acquisition channels while measuring pipeline impact.
Bitpanda is looking for a Senior MarTech Engineer to own mobile measurement and web tracking and to build data pipelines between Snowflake Braze and Firebase while writing specifications for Engineering.
Responsibilities:
— Build and manage your own sales pipeline through outbound outreach, networking, referrals, and other creative strategies
— Research target accounts, identify key decision-makers, and lead discovery meetings to understand clients' business goals, technical challenges, and hiring needs
— Present Plus8Soft's services, demonstrate how we can help, and prepare tailored commercial proposals
— Own the entire sales cycle, from the first outreach and discovery call to negotiations, contract signing, and a smooth handover to the Account Manager
— Keep your pipeline moving by maintaining consistent follow-ups, managing opportunities in the CRM, and driving deals to successful closure
— Stay up to date with industry trends, emerging technologies, and market opportunities to identify new business potential
Requirements:
— 3+ years of proven experience selling IT outstaffing, staff augmentation, or custom software development services to international clients
— C1 English or higher, with excellent verbal and written communication skills, as you'll be communicating with international clients every day
— Understanding of complex tech stacks (SaaS, Cloud, AI/ML, etc.) and daily use of AI tools (ChatGPT, Clay, Apollo, HubSpot/Salesforce) to automate and optimize your own outreach workflow
— A proactive, self-driven mindset with the ability to work independently and take ownership of your pipeline
— Bonus points if you have an existing network of decision-makers in one of our target markets
Benefits:
— Long-term freelance contract with a fully remote setup
— Base salary plus an aggressive, uncapped commission package based on closed deals
Location: Remote
About the Team
At Netlify, we’re a remote-first, globally distributed company with 120+ employees working across 13 countries around the world. Together, we’re building the platform for building and shipping web apps, with a mission to help anyone bring their ideas to the web.
As a Talent Partner, you’ll play a key role in bringing in the people who will shape Netlify’s next stage of growth. You’ll partner closely with hiring leaders to help them make thoughtful, high-quality hiring decisions and will be deeply embedded in understanding this evolving job market and what makes not only great talent, but folks who align with Netlify’s mission. With our team, you’ll recruit across a wide variety of teams and talent markets, owning the full recruiting lifecycle and partnering closely with leaders across Sales, Marketing, Engineering, Product, Finance and other functions. Rather than specializing in one area, you’ll build context quickly, learn what great talent looks like across different parts of the business, and help us find and hire exceptional people.
We’ve already built a number of our own tools and workflows on Netlify to make our day-to-day work better, and we’re continuing to experiment with how AI can create even more leverage. With our team, you’ll be using the same platform you’re helping grow the team behind by shipping tools that improve your own work, experimenting with new ways of working, and contributing to how we continue to evolve how we hire.
What You'll Do
Own full-cycle recruiting across a broad mix of functions - GTM, G&A, and R&D - from intake through accepted offer, without needing a sourcer, coordinator, or ops partner to be effective
Run search kickoffs, define and calibrate candidate profiles in partnership with hiring managers, and establish your own search strategy rather than waiting for one to be handed to you
Independently develop proactive sourcing approaches for each search and build pipelines of passive talent while continuing to cultivate talent for difficult-to-fill roles and future hiring needs
Conduct recruiter screens and develop a clear, evidenced point of view on candidates - sending hiring managers slates with real recommendations
Own weekly search meetings with hiring managers: bring funnel data, market feedback, and a perspective on what's working and what isn't; diagnose problems and propose changes rather than just reporting that pipeline is light
Act as a trusted talent advisor to hiring managers as you partner with them on their searches, bringing market insight, recruiting expertise, and thoughtful pushback when it will lead to a stronger hiring decision
Partner across the People Team on talent strategy, workforce and organizational planning with HR Business Partners, and with People Operations on scalable solutions and processes.
Manage offers and candidate closing end-to-end, while delivering a responsive, thoughtful, and high-touch candidate experience throughout every stage of the process - including for candidates we ultimately don't hire
Use recruiting metrics such as funnel conversion, time to fill, time to hire, sourcing performance, and candidate feedback to identify patterns, inform decisions, and continuously improve how we hire
Design and build AI-assisted and vibe-coded recruiting workflows, evaluate them critically, and identify new opportunities to create leverage - without waiting to be assigned an automation project
What You'll Bring
Enough full-cycle recruiting reps to operate independently from day one - you've had several years of experience personally run intake, sourced, screened, managed HM relationships, and closed candidates across multiple simultaneous searches
A track record of encountering unfamiliar roles or functions and figuring out how to recruit them effectively, rather than defaulting to a narrow specialty
A history of sourcing and engaging passive candidates, ideally at companies where the logo wasn't doing most of the recruiting for you - you've had to create interest, not just harvest it
Demonstrated ability to partner with hiring managers by running search meetings, interpret and pushing back on feedback, recognizing when calibration is off, and owning the relationship
Experience using funnel data to change your behavior - when four candidates get rejected, your instinct is to investigate why, not to source a fifth
You can execute quickly across a high volume of searches while maintaining a high bar for quality, balancing speed with the judgment needed to find the right talent for highly specialized roles.
Experience working with imperfect infrastructure - you've operated without a dedicated sourcer, coordinator, or mature ops team and made it work
A history of noticing broken or inefficient workflows and doing something about them, whether through AI tools, automation, process changes, or creative problem-solving - you've improved something without being told to
Strong organization and communication skills, with the ability to keep multiple searches, stakeholders, candidates, and decisions moving in a distributed environment without sacrificing the details or the human experience
Proficiency with an ATS and the broader recruiting toolset (we use Greenhouse), and comfort experimenting with AI-powered tools to meaningfully improve recruiting quality or throughput
We don't require educational qualifications for the role - we're interested in the experience, judgment, and skills you've developed through your work.
This Role is a Great Fit If
You care deeply about the people behind every application and recognize that looking for a new role is a meaningful decision in someone’s life. You lead with empathy, communicate openly, and follow through on what you say you’ll do. Whether someone joins Netlify or not, you want them to feel that their time was respected, they were treated with care, and they had a thoughtful experience with us.
You're energized by functional variety. An unfamiliar finance role or a senior engineering search doesn't become "that's not my specialty." You get curious, ask good questions, and figure it out
You work well in an environment that resets every few months. Priorities shift, reqs change, and that doesn't throw you - you reorient and keep moving
You can move fluidly between sourcing, candidate conversations, hiring-manager partnership, data, and operational details while keeping communication clear in a remote, async environment
You approach recruiting as a strategic partnership with the business by understanding what teams need, bringing a strong recruiting perspective, and helping hiring leaders make decisions that strengthen their teams.
You're the kind of recruiter who, when something isn't working, investigates rather than simply escalating. When you're recruiting for something unfamiliar, you ask the right questions, build context quickly, and develop a point of view before moving the search forward
You've noticed inefficient systems before and done something about them. You don't need to arrive with a portfolio of automations, but you have a pattern of seeing a problem, getting curious, and experimenting your way to something better
Applying
Not sure you meet 100% of our qualifications?
Please apply anyway!
When applying please include:
A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts.
Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing
accommodations@netlify.com
.
About Netlify
Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable.
We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you!
At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $97,000 - $150,000 for most US-based locations and $95,000 - $143,000 CAD for most Canada-based locations. Candidates in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.
Location: Sydney, Australia
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
We are seeking a Partner Marketing Lead, APAC, reporting to the Global Head of Partner Marketing, to own partner marketing end to end across a region where partners are central to how Claude reaches enterprises. As our founding APAC Partner Marketing leader, you'll set the plan for the region rather than execute one set elsewhere: you'll build the operating model, carry partner pipeline goals, and turn our work with hyperscale cloud providers, global and regional systems integrators, resellers, and technology partners into a regional go-to-market motion that creates pipeline and drives adoption of Claude.
The central challenge is sequencing: ANZ, ASEAN, India, Japan, and Korea differ in their partner ecosystems, buyers, languages, and maturity. In some, local partners are the main route to enterprise customers, and India's systems integrators also deliver for customers worldwide. You'll decide where to invest first, where a global or partner-led program is enough for now, and where to wait.
This role calls for the seniority to lead a regional organization and the willingness to start hands-on with a very small team, defining the regional team plan and then hiring and managing the team as headcount opens. The role covers the whole region, including Japan, where you'll build on an established Partner Marketing presence, so that partners and sales teams experience one connected regional approach.
Key responsibilities
Set the APAC partner marketing strategy, annual plan, and investment priorities, aligned with global Partner Marketing, the regional Partnerships business plan, and APAC sales leadership
Decide which markets and partners to prioritize, in what order, and through which motions, and revisit those choices as the business changes
Represent Partner Marketing with regional and global leadership, and make clear recommendations on tradeoffs
Build the regional operating model, including planning, intake, approvals, reporting, and how global programs are adapted for local markets
Define the regional team plan and make the case for where to add capacity
Hire, manage, and develop the team as headcount opens, and set the standard for partner marketing in the region
Build a network of regional agencies and vendors to extend the team
Build joint marketing plans with priority partners, starting with hyperscale cloud providers and their co-sell and marketplace motions, alongside global and regional systems integrators, resellers, and technology partners
Equip partners to market and sell Claude on their own, with localized campaigns, content, and workshops they can run with their own teams and customers
Lead the regional partner calendar, including joint campaigns, executive engagements, workshops, partner events, and regional partner summits
Set pipeline and adoption goals with Partnerships and sales leadership, and take ownership of the results
Connect partner activity to priority accounts and open opportunities so that partner and direct sales motions reinforce each other
Build the regional pipeline of partner customer stories and public proof points
Own the regional partner marketing budget and market development funds, with strong financial discipline and a focus on return
Maximize partner co-investment and negotiate effectively with vendors
Define how success is measured, including sourced and influenced pipeline and adoption of Claude, and use results to decide where to invest and what to stop
Align the regional plan to the International Partnerships business plan, working with its leadership on overall goals and day to day with subregional and country partnerships leaders and partner managers
Work with APAC sales leaders on account priorities and where partners can help open or advance deals
Coordinate with APAC Field Marketing so that field and partner programs run from one regional plan
Work with global Partner Marketing on partners that span regions, such as cloud providers and global systems integrators, as well as Product Marketing, Customer Marketing, Communications, and Marketing Operations, and bring regional partner feedback back into their plans
Minimum qualifications
14+ years of B2B enterprise technology marketing, with significant experience in partner or channel marketing
Experience owning partner or channel marketing strategy for a region or multiple markets, including priorities and investment decisions
Experience leading marketing programs across multiple Asia-Pacific markets, with strong awareness of how those markets differ
Experience hiring and managing marketers, or clear leadership experience to build a regional team
Experience building programs with cloud providers, systems integrators, resellers, or distributors, and an understanding of co-sell and partner-led pipeline
Track record of contributing to significant pipeline or revenue goals, with strong analytics and attribution skills
Experience managing substantial marketing budgets, including partner co-funding or market development funds
Experience building programs and processes from the ground up, and willingness to do hands-on work while the team grows
Ability to work effectively with sales leaders, partner executives, and senior stakeholders, and to move priorities forward with people you don't manage
Ability to make thoughtful decisions with incomplete information, and comfort with ambiguity
Clear written and verbal communication with executive and regional audiences
Care about the societal impacts of AI and about helping organizations adopt AI responsibly
Preferred qualifications
Experience building and scaling a partner or channel marketing function in APAC at an enterprise software or cloud company
Experience leading marketing with cloud providers, systems integrators, and resellers or distributors, including owning the pipeline that came from that work
Experience managing a regional team across several APAC markets in partner or field marketing
Experience as the first partner or field marketing leader in a new region
Experience marketing AI/ML or other complex technical products to enterprises
Experience marketing with AWS, Microsoft, or Google Cloud in APAC, including co-sell and marketplace motions
Experience launching or scaling a reseller or partner program
Established relationships with partners, agencies, or industry organizations in the region
Fluency in one or more Asia-Pacific languages
Knowledge of regional regulatory and compliance requirements for marketing
Experience using Claude or other AI tools to scale marketing work
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Portugal
Workplace: remote
About Intermedia
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Are you looking for a company where
YOUR VOICE
is heard? Where you can
MAKE A DIFFERENCE
? Do you
THRIVE
in a
FAST-PACED
work environment? Do you wake every morning
EXCITED
to work with
GREAT PEOPLE
and create
SUCCESS
TOGETHER
? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
Are you ready to make your mark?
About the Role:
We are looking for a proactive and eager Senior DevOps Engineer with experience in building, maintaining, and operating Linux based infrastructure at scale. This role is perfect for someone with a passion for automation and efficiency and thrives in a collaborative multi-national environment.
While
primarily remote
, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open offices in Porto in the future. This approach gives team members the flexibility to
work remotely
while also coming together in the office for collaboration and teamwork.
What you will be doing:
Collaborate closely with fellow devops engineers and the development team to deploy and maintain application infrastructure.
Assist in the development and support of tooling to streamline the deployment and maintenance of our products.
Work with Github, Jenkins, and Chef to deploy applications from development through to production environments.
Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting.
Build and manage automation pipelines for application deployment and maintenance.
Engage in the day-to-day management of Linux servers via the command line
Create monitoring dashboards and alerts in Grafana leveraging Prometheus and Alertmanager.
Document processes and best practices clearly and concisely.
Participate in incident solving on-call rotation.
What you will bring to the role:
4+ years of experience in DevOps Engineering or a related field.
Strong understanding of the Linux operating system and comfort working at the command line.
Experience with using Chef or other configuration management tools to automate the creation and maintenance of servers and applications.
Ability to design, implement, and manage CI/CD pipelines using GitHub, Github Actions, and Jenkins.
Solid understanding of networking principles, including DNS, TCP/UDP, firewalls, and load balancers.
A willingness to dive into both complex systems and more routine tasks, ensuring that everything runs smoothly.
A foundational understanding of security best practices.
Proficiency with scripting languages like Bash, Ruby, Python, or Go.
Nice to Have
:
Experience with Kubernetes and Helm templating.
Experience with real-time voice/video protocols like SIP and RTP.
Familiarity with cloud infrastructure, particularly AWS.
Previous experience with tools such as Elasticsearch, RabbitMQ, MySQL, and Ansible.
Experience working with globally distributed and remote teams.
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Location: United Kingdom
Workplace: remote
About Intermedia
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Are you looking for a company where
YOUR VOICE
is heard? Where you can
MAKE A DIFFERENCE
? Do you
THRIVE
in a
FAST-PACED
work environment? Do you wake every morning
EXCITED
to work with
GREAT PEOPLE
and create
SUCCESS
TOGETHER
? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
Are you ready to make your mark?
About the Role:
We are looking for a proactive and eager Senior DevOps Engineer with experience in building, maintaining, and operating Linux based infrastructure at scale. This role is perfect for someone with a passion for automation and efficiency and thrives in a collaborative multi-national environment.
While primarily remote, this role may require occasional visits to the Bristol office or London.
What you will be doing:
Collaborate closely with fellow devops engineers and the development team to deploy and maintain application infrastructure.
Assist in the development and support of tooling to streamline the deployment and maintenance of our products.
Work with Github, Jenkins, and Chef to deploy applications from development through to production environments.
Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting.
Build and manage automation pipelines for application deployment and maintenance.
Engage in the day-to-day management of Linux servers via the command line
Create monitoring dashboards and alerts in Grafana leveraging Prometheus and Alertmanager.
Document processes and best practices clearly and concisely.
Participate in incident solving on-call rotation.
What you will bring to the role:
4+ years of experience in DevOps Engineering or a related field.
Strong understanding of the Linux operating system and comfort working at the command line.
Experience with using Chef or other configuration management tools to automate the creation and maintenance of servers and applications.
Ability to design, implement, and manage CI/CD pipelines using GitHub, Github Actions, and Jenkins.
Solid understanding of networking principles, including DNS, TCP/UDP, firewalls, and load balancers.
A willingness to dive into both complex systems and more routine tasks, ensuring that everything runs smoothly.
A foundational understanding of security best practices.
Proficiency with scripting languages like Bash, Ruby, Python, or Go.
Nice to Have
:
Experience with Kubernetes and Helm templating.
Experience with real-time voice/video protocols like SIP and RTP.
Familiarity with cloud infrastructure, particularly AWS.
Previous experience with tools such as Elasticsearch, RabbitMQ, MySQL, and Ansible.
Experience working with globally distributed and remote teams.
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Location: United Kingdom
Workplace: remote
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you
THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT
PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows
companies to connect better. We have a strong track record of growth, profitability, and creating an environment
where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t
be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great
cloud technology. What’s more, we always look to promote from within and have many employees who have been
with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While
primarily remote
, this role requires occasional visits to the Bristol office or London.
About the Role
Intermedia is looking for a Data Scientist to join our AI Data Science team.
In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks.
You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences.
What You Will Be Doing
Machine Learning & Agent Intelligence
Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform.
Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance.
Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion.
Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes.
Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost.
Generative AI & RAG
Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information.
Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques.
Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows.
Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses.
Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications.
Evaluation & Experimentation
Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience.
Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches.
Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement.
Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes.
Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents.
Ensure data and model quality through comprehensive testing, validation, and performance evaluation.
Data & Solution Development
Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources.
Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions.
Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation.
Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use.
Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement.
Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale.
Collaboration
Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions.
Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders.
Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development.
Mentor and support less experienced data scientists and contribute to knowledge sharing across the team.
What You Will Bring to the Role
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred.
4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field.
Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems.
Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies.
Strong programming skills in Python and experience with SQL and large-scale data processing technologies.
Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies.
Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement.
Experience working with large volumes of structured and unstructured data.
Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions.
Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments.
Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems.
Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes.
Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences.
Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams.
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or
disability status.
Location: Portugal
Workplace: remote
*ALL CANDIDATES MUST BE LOCATED IN PORTUGAL*
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While primarily remote, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork.
Are you ready to make your mark?
About the Role
We are looking for a Site Reliability Engineer (SRE) to improve the reliability of our AI and analytics platforms and the services that depend on them. As Intermedia expands its global product deployments, this role will strengthen SRE practices across production infrastructure, data pipelines, machine-learning services, customer-facing analytics, and AI-powered Voice and Unified Communications capabilities. You will partner with AI, data, product, and platform teams to build scalable, observable systems that deliver dependable insights and resilient customer experiences.
What you will be doing:
Run and improve production environments that support AI and AI workloads, data pipelines, analytics applications, and customer-facing services.
Build software and automation to manage cloud infrastructure, data platforms, model-serving infrastructure, and application services.
Define and measure service level indicators, service level objectives, and error budgets for AI and analytics services, including availability, data freshness, pipeline completion, and inference latency.
Build end-to-end observability that correlates metrics, logs, and traces with data-quality signals, AI-service performance, and customer impact.
Monitor and optimize the reliability, performance, capacity, and cost of batch and streaming workloads, analytics queries, and inference services.
Partner with data engineering and machine-learning teams to make ingestion, transformation, feature, training, deployment, and reporting workflows production-ready.
Automate CI/CD and production-readiness checks for data pipelines, model and prompt releases, schema changes, analytics applications, and dashboards.
Detect and resolve data-quality incidents involving missing, stale, delayed, or anomalous data, schema drift, and broken lineage or dependencies.
Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures for impaired AI, data, or downstream services.
Improve the reliability of AI-powered Voice and Unified Communications capabilities such as speech recognition, transcription, summarization, intelligent routing, conversational assistance, and text-to-speech.
Establish operational monitoring for model and AI-service behavior, including latency, throughput, error rates, drift indicators, and changes in output quality.
Plan capacity and run performance, load, and resilience tests across compute-intensive AI workloads, distributed data processing, and analytics services.
Lead incident response and post-incident improvement for AI and analytics services, using measurable actions to reduce recurrence and recovery time.
Support secure and reliable access to cloud storage, processing, and query services used by analytics products and internal decision-making.
Reduce operational toil and improve engineering productivity through platform tooling, runbooks, self-service automation, and clear operational standards.
What you will bring to the role:
Bachelor's degree in computer science, data engineering, software engineering, or another technical or scientific discipline, or equivalent practical experience.
4-7 years of experience in production operations, systems engineering, SRE or DevOps, software deployment, and maintenance of distributed production systems.
Experience with cloud infrastructure, containers, Kubernetes, distributed systems, and scalable compute and storage services.
Experience operating data processing, orchestration, storage, or analytics technologies, such as Kafka, Spark, Airflow, dbt, data warehouses, or comparable cloud services.
Ability to use metrics, logs, traces, data-quality checks, freshness indicators, lineage, and service-level indicators to diagnose complex production issues.
Experience with CI/CD, DataOps or MLOps practices, automated testing, controlled rollout, and rollback of data and AI service changes.
Strong troubleshooting skills across Linux, applications, networks, APIs, data pipelines, and distributed service dependencies, with attention to security and access controls.
Strong analytical problem-solving and cross-functional communication skills, with a proactive approach to reliability, performance, and continuous improvement.
Diversity Inclusion and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Location: Portugal
Workplace: remote
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you
THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT
PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows
companies to connect better. We have a strong track record of growth, profitability, and creating an environment
where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t
be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great
cloud technology. What’s more, we always look to promote from within and have many employees who have been
with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While
primarily remote
, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork.
About the Role
Intermedia is looking for a Data Scientist to join our AI Data Science team.
In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks.
You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences.
What You Will Be Doing
Machine Learning & Agent Intelligence
Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform.
Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance.
Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion.
Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes.
Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost.
Generative AI & RAG
Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information.
Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques.
Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows.
Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses.
Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications.
Evaluation & Experimentation
Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience.
Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches.
Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement.
Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes.
Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents.
Ensure data and model quality through comprehensive testing, validation, and performance evaluation.
Data & Solution Development
Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources.
Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions.
Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation.
Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use.
Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement.
Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale.
Collaboration
Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions.
Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders.
Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development.
Mentor and support less experienced data scientists and contribute to knowledge sharing across the team.
What You Will Bring to the Role
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred.
4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field.
Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems.
Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies.
Strong programming skills in Python and experience with SQL and large-scale data processing technologies.
Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies.
Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement.
Experience working with large volumes of structured and unstructured data.
Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions.
Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments.
Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems.
Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes.
Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences.
Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams.
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or
disability status.
Location: Portugal
Workplace: remote
*ALL CANDIDATES MUST BE LOCATED IN PORTUGAL*
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While primarily remote, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork.
Are you ready to make your mark?
About the Role
We are looking for a Site Reliability Engineer (SRE) to improve the reliability of our AI and analytics platforms and the services that depend on them. As Intermedia expands its global product deployments, this role will strengthen SRE practices across production infrastructure, data pipelines, machine-learning services, customer-facing analytics, and AI-powered Voice and Unified Communications capabilities. You will partner with AI, data, product, and platform teams to build scalable, observable systems that deliver dependable insights and resilient customer experiences.
What you will be doing:
Run and improve production environments that support AI and AI workloads, data pipelines, analytics applications, and customer-facing services.
Build software and automation to manage cloud infrastructure, data platforms, model-serving infrastructure, and application services.
Define and measure service level indicators, service level objectives, and error budgets for AI and analytics services, including availability, data freshness, pipeline completion, and inference latency.
Build end-to-end observability that correlates metrics, logs, and traces with data-quality signals, AI-service performance, and customer impact.
Monitor and optimize the reliability, performance, capacity, and cost of batch and streaming workloads, analytics queries, and inference services.
Partner with data engineering and machine-learning teams to make ingestion, transformation, feature, training, deployment, and reporting workflows production-ready.
Automate CI/CD and production-readiness checks for data pipelines, model and prompt releases, schema changes, analytics applications, and dashboards.
Detect and resolve data-quality incidents involving missing, stale, delayed, or anomalous data, schema drift, and broken lineage or dependencies.
Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures for impaired AI, data, or downstream services.
Improve the reliability of AI-powered Voice and Unified Communications capabilities such as speech recognition, transcription, summarization, intelligent routing, conversational assistance, and text-to-speech.
Establish operational monitoring for model and AI-service behavior, including latency, throughput, error rates, drift indicators, and changes in output quality.
Plan capacity and run performance, load, and resilience tests across compute-intensive AI workloads, distributed data processing, and analytics services.
Lead incident response and post-incident improvement for AI and analytics services, using measurable actions to reduce recurrence and recovery time.
Support secure and reliable access to cloud storage, processing, and query services used by analytics products and internal decision-making.
Reduce operational toil and improve engineering productivity through platform tooling, runbooks, self-service automation, and clear operational standards.
What you will bring to the role:
Bachelor's degree in computer science, data engineering, software engineering, or another technical or scientific discipline, or equivalent practical experience.
4-7 years of experience in production operations, systems engineering, SRE or DevOps, software deployment, and maintenance of distributed production systems.
Experience with cloud infrastructure, containers, Kubernetes, distributed systems, and scalable compute and storage services.
Experience operating data processing, orchestration, storage, or analytics technologies, such as Kafka, Spark, Airflow, dbt, data warehouses, or comparable cloud services.
Ability to use metrics, logs, traces, data-quality checks, freshness indicators, lineage, and service-level indicators to diagnose complex production issues.
Experience with CI/CD, DataOps or MLOps practices, automated testing, controlled rollout, and rollback of data and AI service changes.
Strong troubleshooting skills across Linux, applications, networks, APIs, data pipelines, and distributed service dependencies, with attention to security and access controls.
Strong analytical problem-solving and cross-functional communication skills, with a proactive approach to reliability, performance, and continuous improvement.
Diversity Inclusion and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Мексика; To the attention of candidates in Mexico City : Unfortunately, V
United States of America (USA), North Carolina; United States of America (USA), South Carolina; United States of America (USA), Virginia
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоСША; We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences; Candidates in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed
leadSydney, Australia
УдалённоseniorPortugal
УдалённоseniorUnited Kingdom
УдалённоUnited Kingdom
УдалённоALL CANDIDATES MUST BE LOCATED IN PORTUGAL
УдалённоPortugal
УдалённоALL CANDIDATES MUST BE LOCATED IN PORTUGAL
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