Location: Anywhere in France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🚀 THE CHALLENGE
- Alan is a leading European health insurer with over 1 million members across 4 countries (France, Belgium, Spain, Canada). At its core, Alan is a tech company that believes exceptional member experience is a competitive advantage: fast, empathetic, and reliable service at scale. As of Q1 2026, 40% of conversations are handled automatically.
- At the intersection of Care, Legal, Security, and Data Protection sits a set of topics that are as operationally complex as they are strategically critical: data breaches, GDPR rights requests, security incidents, legal complaints, regulatory reporting.
- We are looking for a Care Legal & Security Specialist to own these topics end-to-end: handling complex cases in close collaboration with Alan's Legal and DPO teams, building the processes and training that allow our ~300 Care agents to manage them with confidence, and identifying where AI and automation can reduce manual load. As Alan accelerates across four countries, what you build in France gets replicated in Spain, Belgium, and Canada: your work doesn't stay local.
- This is not a pure legal role, and it is not a pure ops role. You handle regulatory cases, improve the processes that prevent them from recurring, and scale what works across countries. You will be embedded within our Operational Excellence team, working in close collaboration with Care Ops and the Corporate Unit.
👨🚀 MISSIONS
1/ Operational run (60%)
- Handle complex security incidents, GDPR cases, and legal complaints escalated from Care agents, including CNIL notifications (drafted in close collaboration with Legal and DPO, within the 72-hour regulatory deadline), account takeover situations, Level 2 and Level 3 complaints, and incoming legal mail
- Manage interactions with external stakeholders (CNIL, Insurance Ombudsman, Signal Conso) with precision and within regulatory deadlines
- Own KPI monitoring and reporting for legal and security matters; organize yearly complaints reporting for Alan's Board; identify trends and escalate systemic issues to Product teams early
2/ Scalability: process, tools, and training (20%)
- Design and continuously improve workflows, escalation paths, macros, and help center content so Care agents can handle legal and security cases autonomously at L1 and L2
- Identify simplification and automation opportunities across legal and security operations, then collaborate with Care Ops and Product crews to deploy them, rather than solving each case manually
- Build and maintain training materials (case studies, Q&As, simulations), so Care Experts develop real judgment, not just process familiarity
- Ensure regulatory training completion across the team
3/ Globalization (20%)
- Translate processes, frameworks, and training materials built for France into resources that Care and Legal/Compliance teams in other countries can adopt
- Coordinate actively with counterparts in other countries to share learnings, align on best practices, and anticipate regulatory divergences
- Build shared resources so that when a new country goes live, the Care Legal & Security function isn't starting from scratch
To deliver on those missions, you will:
- Support Care Experts participating in the Legal & Security taskforce: build their judgment on complex and ambiguous cases, be the primary escalation reference for Care agents facing difficult legal or security situations
- Collaborate with the Corporate Unit Lead and Care Ops to shape the Care roadmap on legal and security topics; translate regulatory constraints into executable processes and surface operational insights that should inform policy or product decisions
⭐ YOU'LL EXCEL IN THIS ROLE IF YOU:
- Deliver reliably on high-stakes, deadline-driven cases with a real member-centric mindset
- Have at least 1-2 years of experience in one of the following: GDPR / privacy operations, legal complaints handling in a regulated sector, or compliance ops in fintech, insurtech, or health
- Communicate with precision and adapt to your audience, whether you're briefing a legal expert, aligning with a product team, or coaching a front-line agent. You get buy-in from agents and managers who didn't ask for a new process, and that's as important as designing the process itself
- Spot simplification opportunities and know how to turn them into projects: you identify what should be automated or redesigned, then drive the collaboration with Care Ops and Product to make it happen
- Are comfortable navigating regulatory frameworks (GDPR, complaint handling, CNIL) without being a lawyer; you know when to escalate and when to own it, and you're backed by Legal and DPO experts at Alan
- Are comfortable making judgment calls in ambiguous situations and moving forward without waiting for all the answers.
- Are fluent in French (C1+ written and spoken, essential for CNIL notifications, ombudsman responses, and legal correspondence) and proficient in English for internal Alan collaboration
No prior legal qualification is required but a background in law is a genuine plus. We are looking for operational rigor, strong communication, and the appetite to build something that scales.
For this opportunity, we are aiming to hire within the B-C level range.
🌍 HOW WE WORK
Location: You must be legally eligible to work from France.
Remote work: We offer remote work flexibility, but we value in-person collaboration.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: Toronto, ON, Canada
Workplace: OnSite
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE ROLE
You are the Canada GM's right hand. Not a support role: you own strategic initiatives end to end and are accountable for the outcome, not the slide deck.
This seat owns Strategy & Operations: the operating cadence, the operational build-out of a young insurer, and the regulatory execution that lets Alan operate province by province. You'll work daily with Canada's leadership and draw on the global Alan platform, including GM Associate peers in five countries.
🎯 YOUR MISSION
Your core missions:
- Own Canada's operating cadence. MBRs, QBRs and the Canada Weekly pulse: turn inputs from nine communities into the narrative and decisions leadership acts on.
- Build new operations from scratch. New products, processes and reporting (e.g. virtual care expansion, pipeline and quota dashboards): define, launch, hand over.
- Own insurance & regulatory execution. Provincial licensing, other filings and clinical licensing for new provinces. These are commitments to regulators, not internal deadlines.
- Build your own AI tooling. Automate your own job with agents that do real work (e.g. automate weekly reporting, hiring pipeline digests, regulatory monitoring).
- Lead through influence and clarity. Write the docs that let others decide without you (e.g. the business case for a 2nd GM Associate, summer interns, staffing BC expansion) and keep Canada and Europe aligned.
- Step in where the business needs you. Cover leaders when they're out and pick up adjacent work (e.g. running hiring loops, managing summer interns, running the Toronto office).
💪 YOU MAY BE A GREAT FIT IF YOU HAVE
- 1-4 years in consulting, banking, M&A, a high-growth startup, or as a founder.
- Strategic thinking with hands-on execution. You set direction, then build the model, fix the process and file the renewal on time.
- Exceptional written communication. You can turn a messy quarter into three paragraphs a board will act on.
- A real command of AI tools, used to extend your output, not replace your thinking. We'll ask you to show us.
- Strong organisation, time management and autonomy. You run projects start to finish with precision and little oversight.
- An entrepreneurial mindset. Comfortable with ambiguity, you take ownership beyond your remit.
- Mission-driven. You want to transform healthcare in Canada.
- Based in Toronto and in our office 5 days a week.
- As a plus: French, international team experience, or a background in scale-ups, healthcare or insurance.
Earlier in your career? Apply anyway. If you've shown real ownership (a company you started, a team you carried, work that shipped), we'd rather see your application than screen you out on a number.
🚀 WHAT THIS ROLE LEADS TO
The role is built on a minimum two-year horizon: long enough to compound real impact, and the springboard to leading a community or function. You'll have a buddy and a coach from day one.
🙌 PERKS & BENEFITS
- Competitive salary + equity - B0-C1, ($96-140k CAD) see the salary & equity grid https://alan.com/en/careers/a/salary-equity.
- Monthly TTC pass, and a generous employer matching program for your RRSP.
- Excellent health coverage through Alan's own app.
- Office at King & Yonge in the financial district, with free lunch.
- Flexible leave, no pre-approval needed.
- Personal growth through coaching. Every Alaner has a dedicated coach from day one. Read about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
SQL и базы данных, Python (Pandas) / R (будет плюсом), BI-решения и дашборды, AI-модули и аналитические системы заказчика, документация требований: ТЗ, user stories, use cases, схемы процессов. Опыт от 2 лет в роли бизнес-аналитика, аналитика, проектного координатора или в смежной роли;
ГибридАлматы
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.
Location: Bolzano, Italy; Rome, Italy
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a
dedicated
Regional Sales Manager
to join one of our
clients' teams
. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
What you will do
Win new customers. This is the first priority: prospect, qualify and close new business across Italy's manufacturing industry.
Sell consultatively. Understand each customer's business case before bringing in technical resources.
Grow the existing base. Drive renewals, additional seats and modules, and win back lapsed customers
Lead the market with our partners. Work partners, and take accountability for results across the whole Italian market.
Make customers productive fast. Coordinate technical presales and implementation with technical teams, and build local technical capability as the business grows.
Run the business on data. Manage pipeline and forecast in Salesforce.
A proven track record of winning new B2B customers in CAD/CAM, CNC, machine tools or industrial software in Italy.
Experience selling technical solutions to manufacturing companies, directly and through channel partners.
Solid pipeline and CRM discipline.
Fluent Italian and English.
A hands-on, autonomous way of working, and willingness to travel extensively within Italy
An advantage: an engineering or manufacturing background; an existing network in the Italian machining industry; experience building or leading a team
Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely.
You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage.
M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team; taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap.
Responsibilities
Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close
Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan
Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one
Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required.
Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration
Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands
Build a repeatable IT M&A playbook and automate as much of it as possible with Claude
When M&A work is light, contribute to core Corporate Systems projects
You may be a good fit if you have
8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure
Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs
Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet
A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists
A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself
Comfort working autonomously, with ambiguity and confidential information
Clear communication with executives, legal and corporate development teams, and engineers at acquired companies
Strong candidates may also have
Prior M&A, carve-out, or company-to-company migration experience
Experience across the full stack: endpoints, systems, applications, and infrastructure
Hands-on experience managing a device fleet or running an MDM
Experience working in or alongside a security team
A record of building tooling that replaces manual IT work
Using Claude or similar tools as a core part of how you work
Representative projects
Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days
Design a way to size integration effort and risk for a company of any shape or size
Automate bringing acquired people and devices onto Anthropic's identity and device management
Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$325,000
—
$360,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: London, UK
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 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction.
Responsibilities
Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code.
Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc.
Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets.
Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences.
This role will require significant travel
You Might Be a Good Fit If You Have
Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab.
Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance.
A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world.
Experience working directly with external customers or partners in a technical role.
Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust.
A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£225,000
—
£255,000 GBP
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.
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: Korea
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
WHAT YOU’LL DO
Customer-Facing Technical Impact
- Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
- Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
- Travel up to 20–40% to work on-site with customers and partners
Agent Design, Build and Production launches
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Team Mentorship & Organizational Impact
- Mentor engineers across distributed teams.
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
- Contribute to shared frameworks and patterns that enable consistent delivery across customers.
REQUIRED SKILLS & EXPERIENCE
Technical Foundations
- Demonstrated ability to build, ship, and operate production-grade software systems.
- Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
- Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
- Strong proficiency in Python and/or JavaScript/TypeScript.
Experience and Leadership
- Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
- Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
ADDITIONAL REQUIREMENTS
- Strong written and verbal communication skills.
- Fluency in English and Korean language.
IT’S A BONUS IF YOU HAVE:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote (Canada)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
This role is open to nurses!
ROLE OVERVIEW
The Trust & Safety Analyst protects the integrity of our platform by expertly managing incident reports from start to finish. This role focuses on two core outcomes: providing an exceptional, empathetic experience for customers during high-stakes situations, and decisively removing bad actors when appropriate to keep our platform safe.
WHAT YOU’LL DO
- Investigate safety incidents end-to-end and deliver timely, customer-focused resolutions.
- Accurately classify incidents, assess severity, and make fair, well-reasoned deactivation decisions.
- Develop and implement safety initiatives, tools, and processes that reduce incidents and strengthen platform integrity.
- Shape and uphold marketplace safety norms through clear policy development/recommendations.
- Partner cross-functionally with Support, Product, Legal, and other teams to drive safety outcomes.
- Assess safety and compliance risks; design strategies to close gaps and prevent recurrence.
- Monitor and report on safety and compliance metrics; analyze trends to recommend data-driven improvements.
- Serve as a subject-matter expert on Trust & Safety policies, providing guidance internally and externally.
- Continuously improve the incident reporting and investigation workflow.
- Communicate with customers and partners with professionalism and urgency, ensuring high-quality resolution experiences.
- Stay current on product updates to ensure accuracy and consistency across safety operations.
WHAT WE’RE LOOKING FOR
- Ability to resolve customer incidents with empathy and action
- Impeccable judgement and ability to make tough decisions
- Exceptional written and verbal communication skills - You are a skilled communicator and listener, and you’re comfortable expressing ideas and opinions to a varied audience
- Possess an “I can handle anything” mentality and extremely sound judgement in ambiguous situations
- Ability to identify potential risks and effectively diffuse situations
- Demonstrate a high degree of leadership, motivation, self-direction, and initiative to achieve the goals of the mission
- Self-motivated, able to work independently and stay organized
- Detail-oriented
- Ethical and unbiased integrity and decision-making abilities
- Preferred:
- 3+ years in a customer-facing role.
- 3–5 years of experience in Clinical practice, Trust & Safety, Risk Management, Compliance, or related fields.
- LVN or RN is a big plus
- Ability to use statistical tools and techniques to analyze, interpret, and present safety-related data.
WHY JOIN CLIPBOARD?
- We are remote-first, giving you the flexibility to work with us from many places.
- Fast-paced startup environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot, our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our customers on both sides of the marketplace.
HIRING PROCESS
1. Application
2. Case Study
3. Case Study Interview
4. Interview with Head of Trust and Safety
5. Interview with Head of Operations
6. Offer
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
This role is open to nurses!
ROLE OVERVIEW
The Trust & Safety Analyst protects the integrity of our platform by expertly managing incident reports from start to finish. This role focuses on two core outcomes: providing an exceptional, empathetic experience for customers during high-stakes situations, and decisively removing bad actors when appropriate to keep our platform safe.
WHAT YOU’LL DO
- Investigate safety incidents end-to-end and deliver timely, customer-focused resolutions.
- Accurately classify incidents, assess severity, and make fair, well-reasoned deactivation decisions.
- Develop and implement safety initiatives, tools, and processes that reduce incidents and strengthen platform integrity.
- Shape and uphold marketplace safety norms through clear policy development/recommendations.
- Partner cross-functionally with Support, Product, Legal, and other teams to drive safety outcomes.
- Assess safety and compliance risks; design strategies to close gaps and prevent recurrence.
- Monitor and report on safety and compliance metrics; analyze trends to recommend data-driven improvements.
- Serve as a subject-matter expert on Trust & Safety policies, providing guidance internally and externally.
- Continuously improve the incident reporting and investigation workflow.
- Communicate with customers and partners with professionalism and urgency, ensuring high-quality resolution experiences.
- Stay current on product updates to ensure accuracy and consistency across safety operations.
WHAT WE’RE LOOKING FOR
- Ability to resolve customer incidents with empathy and action
- Impeccable judgement and ability to make tough decisions
- Exceptional written and verbal communication skills - You are a skilled communicator and listener, and you’re comfortable expressing ideas and opinions to a varied audience
- Possess an “I can handle anything” mentality and extremely sound judgement in ambiguous situations
- Ability to identify potential risks and effectively diffuse situations
- Demonstrate a high degree of leadership, motivation, self-direction, and initiative to achieve the goals of the mission
- Self-motivated, able to work independently and stay organized
- Detail-oriented
- Ethical and unbiased integrity and decision-making abilities
- Preferred:
- 3+ years in a customer-facing role.
- 3–5 years of experience in Clinical practice, Trust & Safety, Risk Management, Compliance, or related fields.
- LVN or RN is a big plus
- Ability to use statistical tools and techniques to analyze, interpret, and present safety-related data.
WHY JOIN CLIPBOARD?
- We are remote-first, giving you the flexibility to work with us from many places.
- Fast-paced startup environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot, our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our customers on both sides of the marketplace.
HIRING PROCESS
1. Application
2. Case Study
3. Case Study Interview
4. Interview with Head of Trust and Safety
5. Interview with Head of Operations
6. Culture Interview (People Ops)
7. Offer!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Mexico)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Spain)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in English (UK)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Job Reference: #L1-CC1
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: Remote, Austria; Remote, Germany
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
The CSA role is a pivotal addition to our customer success team, focusing on building strong, consultative relationships with our key customers. Our CSAs will serve as trusted advisors, leveraging their deep understanding of DevSecOps best practices, industry trends and our software capabilities to help customers navigate complex challenges and achieve their desired outcomes.
Additionally, our team serves as liaisons between the customer and the GitLab ecosystem, streamlining collaboration with Product Management, Engineering, Sales, Professional Services, and others.
CSM handbook
.
What You’ll Do
Partner with our customers in taking what was established in the pre-sales command plan, and turning the customers desired positive business outcomes into actionable objectives
Know the GitLab platform, our more common best practices, and use cases in order to guide the customer
Understand the customer journey and be able to guide them on future adoption
Act as the GitLab liaison for GitLab questions, issues, or escalations. Work with GitLab Support, Product Management (i.e., roadmaps), or other teams as needed
Own a book of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction
Remain knowledgeable and up-to-date on GitLab releases
Provide immediate onboarding activities
Work with assigned customers to build Customer Success Plans, establishing critical goals, or other key performance indicators and aid the customer in achieving their goals
Program manage account escalations Provide insights with respect to the availability and applicability of new features in GitLab as relevant
Support GitLab Services in identifying and recommending training opportunities
What You’ll Bring
Understanding of Git and typical branching strategies
Knowledge of software development lifecycle and development pipeline
Understanding of continuous integration, continuous deployment, DevSecOps
Prior experience in Customer Success or equivalent history of increasing satisfaction, adoption, and retention
Experience partnering with customers to define and achieve business outcomes
Familiarity working with customers of sizes relevant to the assigned segment
Exceptional verbal, written, organizational, presentation, and communications skills
Detailed oriented and analytical Strong team player but self-starter
Project management experience & skills
Strong technical, analytic, and problem-solving skills
Alignment with our values, and willingness to work in accordance with those values
Ability to travel if needed and comply with the company’s travel policy
Demonstrated progressive experience in a related function is required with direct customer advocacy and engagement experience in post-sales or professional services functions
Fluent German
About the team
The Customer Success Architect (CSA) team focuses on hands-on technical enablement, adoption, utilization and maturity - while maintaining strong customer relationships and business alignment.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: London
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ABOUT THE ROLE
Build AI workflows that Commercial teams actually use and prove the impact. We are looking for a Commercial AI Solutions Specialist to turn high-value Commercial problems into practical, adopted AI workflows.
You will own use cases end to end: discovering problems, assessing and prioritising opportunities, rapidly prototyping solutions, supporting deployment, driving adoption, and measuring business impact. This is a hands-on role for someone who combines curiosity, structured problem-solving, and strong delivery ownership.
You do not need deep expertise in every AI tool or in payments. We do expect evidence that you have learned a new domain quickly, independently built and shipped at least one useful workflow, and translated an ambiguous business problem into a measurable outcome.
WHAT EARLY SUCCESS LOOKS LIKE
During the first 90 days, you will build a strong understanding of Commercial priorities and workflows, develop a credible pipeline of use cases, and deliver practical quick wins. You will also establish the foundations for measuring adoption, productivity, and commercial impact as the portfolio develops.
By day 90: two workflows live with real Commercial users, each with a named business owner, a measured before/after delta against a pre-build baseline, and sustained weekly active use.
WHAT YOU WILL DO
- Partner with Commercial teams and Revenue Operations to identify workflow pain points and high-value automation and AI augmentation opportunities.
- Investigate problems, map current processes, establish an evidence-based baseline, and define clear use-case outcomes.
- Build, test, and rapidly iterate on prototypes using AI-assisted coding tools, automation, and low-code or no-code platforms.
- Take approved use cases from discovery through deployment, adoption, and impact measurement.
- Design pragmatic human-in-the-loop workflows, controls, and feedback mechanisms.
- Coordinate with relevant technical, data, security, and risk partners when a solution requires platform support or formal approval.
- Support the enablement of end users through clear documentation, demonstrations, training, and ongoing iteration.
- Maintain visibility of progress, dependencies, risks, adoption, and realised impact.
WHAT WE ARE LOOKING FOR
- Evidence of having built and shipped at least one useful workflow, automation, AI-powered tool, or prototype that real users used in practice.
- Evidence of rapidly learning a new domain or capability and independently delivering a measurable business outcome.
- Experience owning work from an ambiguous problem through to an implemented solution.
- Strong analytical and data literacy, including the ability to interpret data, establish baselines, and evaluate outcomes.
- Hands-on experience building useful workflows, automations, or prototypes using low-code or no-code platforms, automation tools, or AI-assisted coding tools.
- Structured problem-solving skills and the judgement to distinguish valuable use cases from attractive distractions.
- Strong stakeholder management and communication skills, with the ability to influence without formal authority.
- A bias toward action, experimentation, and iteration, balanced with appropriate attention to risk and governance.
- The ability to work independently while escalating material decisions and dependencies appropriately.
DESIRABLE EXPERIENCE
You are not expected to have every item below. These are examples of experience that may help you succeed in the role; we will assess evidence of learning agility, delivery, and judgement over checklist matching.
- Experience in a Commercial, go-to-market, Revenue Operations, payments, fintech, or other regulated-industry environment.
- Familiarity with generative AI, agentic workflows, APIs, workflow automation, data visualisation, or prompt and evaluation techniques.
- Experience explaining a new workflow, gathering user feedback, and supporting adoption across stakeholders.
- Hands-on experience building AI-powered tools, agents, or automations that other people used in their real work.
- Familiarity with agentic development tools, APIs, and SQL; named tools such as Claude Code, Cursor, and Codex are examples rather than requirements.
- You can read code, understand logic, and steer and debug an agentic coding tool.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Задачи:
— Проведение обследований IT-инфраструктуры и бизнес-процессов;
— Участие в проектировании архитектуры продукта;
— Построение необходимых моделей, сценариев, прототипов;
— Разработка функциональных и бизнес-требований к информационной системе;
— Разработка технической документации: ТЗ, ТТ, ТП (ГОСТ 34, 19 и др.);
— Взаимодействие с функциональным заказчиком (внутренним и внешним);
— Участие в тестировании, приемке и внедрении ПО;
— Согласование календарного планирования разработки.
Требования:
— Опыт работы системным аналитиком не менее 5-и лет;
— Отличное владение русским языком (грамотность, устная и письменная речь);
— Аналитический склад ума;
— Технический бэкграунд;
— Знания и понимание принципов разработки программного обеспечения;
— Знания и понимание основных принципов построения современной архитектуры ИТ-систем;
— Знания, понимание и опыт реализации основных способов интеграции ИТ-систем;
— Умение читать и строить модели, описывать сценарии работы, знание UML, BPMN;
— Значение и умение описывать User Story и Use Case;
— Понимание REST;
— Знание принципов построения UI;
— Умение работать в команде;
— Умение вести технические переговоры;
— Проживание в России.
Будет плюсом:
— Знание предметных областей: документооборот, проектирование, эксплуатация, ремонт крупных промышленных объектов;
— Понимание технической части реализации информационных систем: БД, информационная безопасность, клиент-серверные приложения;
— Опыт проектирования архитектуры информационных систем;
— Опыт разработки ПО в составе команды разработчиков;
— Опыт разработки требований различного уровня;
— Опыт работы с трекерами задач: Atlassian Jira, Redmine, Azure DevOps и т.п.;
— Опыт бизнес моделирования.
Условия:
— Аккредитованная ИТ-компания;
— Трудоустройство по ТК РФ, полностью белая з/п;
— Заработная плата по результатам собеседования;
— Полная рабочая неделя (пн-пт);
— Возможность профессионального и карьерного роста;
— Возможен гибкий график работы, удаленная работа;
— Работа по Московскому времени.
Location: Taguig, National Capital Region
Workplace: Hybrid
We are looking for a detail-oriented Investigation Specialist to support anti-fraud operations and case handling. In this role, you will manage incoming cases, perform client callouts, validate data, and conduct initial investigations to ensure accuracy and proper case routing. You will also collaborate with investigation and forensic teams to support evidence collection and analysis, playing a key role in maintaining the integrity of our fraud detection and prevention processes.
KEY RESPONSIBILITIES:
- Manages cases received thru Shared Mailbox and Hotline.
- Perform callouts according to the antifraud workflow.
- Review client information before and during calls using the Bank’s system and other resources provided by the department.
- Conduct Initial Investigation of Cases Triggered or received from other departments.
- Communicate with clients or related parties with the main goal to proof correctness of data.
- Check correctness of triggers and filter it to which department it should be sent to procced
- Ensure that all data were gathered for the following End to End investigation.
- Provides direct technical support to investigation, litigation, and forensic analyst to collect, preserves, process, analyze and interpret digital evidence from broad range of data available on open sources (social media, etc).
REQUIREMENTS AND EXPECTATIONS
- Bachelor’s Degree in Criminology or any related four year courses
- Law enforcement/Military background preferred
- At least 1-year experience in Investigation preferably in Financing, Banking and Security Industry prefered.
- Proficient in Microsoft Applications (Excel, Word, Powerpoint)
- Excellent written and verbal communications
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We are seeking an experienced Global Payroll Analyst to support accurate, timely, and compliant payroll operations across our global workforce. Based in India and reporting to a manager in the United States, this role will have a primary focus on processing U.S. payroll in Workday while also supporting India payroll, employees engaged through Employer of Record (EOR) and Professional Employer Organization (PEO) arrangements, and payroll activities in other countries.
The ideal candidate is a hands-on payroll professional who can move comfortably between payroll processing, audits, vendor coordination, reconciliations, and employee support. This position requires a high degree of accuracy, sound judgment, strong follow-through, and the ability to work effectively across time zones and cultures. The work schedule will include regular overlap with U.S. business hours, either Pacific or Eastern time, as business needs require.
What You’ll Do
Process multi-state U.S. payroll for exempt and non-exempt employees using Workday Payroll, including regular wages, bonuses, commissions, equity transactions, leaves, and final payments.
Perform end-to-end payroll activities, including reviewing inputs, validating calculations, running audits, resolving discrepancies, preparing payroll registers, and supporting payroll approval and settlement.
Coordinate payroll for workers engaged through EOR and PEO providers.
Support India payroll processing and review, including payroll inputs, statutory deductions and contributions, employee changes, terminations, reconciliations, and coordination with local payroll partners.
Monitor payroll cases and ticket queues; respond to employee questions regarding pay, taxes, deductions, benefits, time off, and payroll timing with accuracy, empathy, and clear ownership through resolution.
Partner with payroll vendors and internal teams to investigate and resolve payroll issues, track open items, meet cutoffs, and ensure timely follow-through.
Support payroll accounting activities, including payroll journals, accruals, and investigation of payroll-to-general-ledger differences.
Maintain payroll documentation, calendars, checklists, standard operating procedures, and country-specific process information to support controls and cross-training.
Assist with internal and external audits, SOX controls, year-end activities, statutory reporting, and other payroll compliance requirements.
Contribute to payroll implementations, integrations, testing, process improvements, and automation initiatives across Workday and the broader global payroll environment.
Build trusted relationships with HR, HRIS, Accounting, Finance, Tax, Benefits, Equity, Legal, and external payroll partners across regions and time zones.
Skills We’re Looking For
5+ years of payroll experience, including hands-on responsibility for payroll processing, audits, reconciliations, and employee support.
3+ years of hands-on U.S. payroll processing experience using Workday Payroll and Workday Time Tracking.
Working knowledge of U.S. federal, state, and local payroll taxation and wage-and-hour requirements, including multi-state payroll.
Hands-on India payroll experience, including familiarity with common statutory payroll requirements and local payroll practices.
Experience supporting payroll through EOR and/or PEO providers across multiple countries.
Experience managing employee inquiries through a case-management or ticketing system and communicating complex payroll topics clearly.
Strong Microsoft Excel skills, including lookups, pivot tables, formulas, data validation, and reconciliation of large data sets.
Demonstrated attention to detail, problem-solving ability, and success meeting multiple payroll deadlines in a fast-paced environment.
Excellent written and verbal communication skills and the ability to collaborate effectively across time zones.
Ability to handle sensitive and confidential information with discretion and sound judgment.
Ability to work a schedule that provides regular overlap with U.S. Pacific or Eastern business hours.
Experience with ADP SmartCompliance.
Experience supporting payroll operations in additional countries or regions beyond the United States and India.
Payroll accounting experience, including journals, accruals, and general ledger reconciliation.
Experience with payroll implementations, acquisitions, integrations, user acceptance testing, or process automation.
Experience working in a SOX-controlled and high-growth global environment.
#
LI-HYBRID
#LI-DB1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
ОфисToronto, ON, Canada
География найма не уточнена
London, UK
УдалённоKorea
УдалённоRemote (Canada)
УдалённоГеография найма не уточнена
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston