Location: Bologna, Italy
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
WHY Deliveroo
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you.
What You’ll Be Doing
You’ll be joining the
Grocery & Retail
team.
This position is based in Bologna
We oversee relationships with high-volume strategic partners, using data-driven insights to navigate the rapidly evolving quick-commerce landscape.
Here’s what your day-to-day might look like:
Strategic Partnership Management:
Act as the primary consultant for a portfolio of different small and medium retail partners, building deep, long-term relationships.
Growth Consulting:
Use data manipulation and analysis to identify trends, increasing profitability and growth for both your partners and Deliveroo.
Revenue Generation:
Drive commercial value through upselling, cross-selling, and identifying new business opportunities within your portfolio.
Cross-Functional Leadership:
Collaborate with Marketing, Operations, and Customer Service to develop and implement bespoke solutions that solve partner challenges.
Operational Excellence:
Serve as the main point of contact for strategic partners, addressing complex issues with professional, timely, and scalable solutions.
What You’ll Need to Thrive
Essential:
Significant commercial experience
, with a background in retail, FMCG, or high-growth technology companies.
Knowledge of the food retail industry
, understanding the unique challenges and opportunities within the grocery sector.
Proven ability to manage long-term relationships
with strategic stakeholders and global brands.
Professional fluency in English
to collaborate with our global teams and partners.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire
here
.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Compensation
National Collective Agreement (CBA):
CCNL Commercio e Terziario
Classification Level:
Livello 3
The total target compensation (OTE (On-Target Earnings, ovvero la retribuzione totale prevista al raggiungimento del 100% degli obiettivi) for this role is €36,000 – €45,000 gross per year, of which the
base salary
range is €31,320 – €37,000.
The successful candidate's starting pay will fall within the pay range listed above and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
To learn more about our benefits, please do not hesitate to bring this up with your Talent Acquisition Partner!
The successful candidate's starting total target compensation (On-Target Earnings) for this role will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met.
Pay Range:
€36.000
—
€45.000 EUR
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Bologna, Italy; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
We are looking for a Senior Director of Corporate FP&A to join Grafana Labs and help build and scale our Corporate FP&A function as the company enters its next phase of growth.
This is a pivotal leadership role responsible for building the financial infrastructure and operating cadence that power company-wide planning, forecasting, reporting, and decision-making. You will own key Corporate FP&A processes, including long-range planning, annual planning, consolidated P&L, Balance Sheet and Cash Flow forecasting, executive and Board reporting, while helping establish the rigor, systems, and insights required to support the company’s next phase of growth.
You will serve as a key partner to Finance, business leaders, and the executive leadership team, translating operating performance into clear financial insights and helping drive fast, informed decisions. The ideal candidate is a seasoned, results-oriented finance leader with strong business judgment, high integrity, and a track record of building scalable processes in complex, high-growth environments. You should be equally comfortable operating strategically and going deep into the details, with the ability to identify what needs to be built and raise the overall standard of Corporate FP&A.
This is an opportunity to build the foundation for Corporate FP&A at a high-growth global company. The role is fully remote and will report to the VP of Finance.
What you'll be doing:
Own the company-wide Corporate FP&A model and planning processes, including long-range planning, annual planning, monthly forecasting, and consolidated P&L, Balance Sheet, and Cash Flow forecasting.
Lead executive and Board reporting, delivering clear, decision-ready materials and commentary on business performance, key drivers, risks, opportunities, and operating leverage.
Build and continuously refine the company’s KPI and reporting architecture, including scorecards, dashboards, recurring business reviews, and analytical frameworks that leadership and investors can rely on.
Partner closely with Accounting, Tax, and other Finance teams to support month-end close, flux reviews, and financial reporting.
Establish and continuously improve Corporate FP&A operating rhythms, including close-to-insight timelines, clear ownership, metric definitions, and reporting processes designed to support the company’s next phase of growth.
Lead the modernization of Finance processes, forecasting methodologies, and planning frameworks through systems, workflow automation, structured data, and AI to improve accuracy, scalability, and the quality of forward-looking insights as the business evolves.
Build strong cross-functional relationships with business and functional leaders, serving as a trusted partner on financial performance, resource allocation, and strategic decision-making.
Build, mentor, and develop a high-performing Corporate FP&A team, and support strategic initiatives such as M&A diligence and integration as needed.
What Makes You a Great Fit:
10+ years of experience across FP&A, Strategic Finance, Corporate Finance, or related disciplines, including meaningful experience at a leading technology company and ideally complementary experience in investment banking or buy-side investing. Experience in SaaS, enterprise software, or the broader technology sector is strongly preferred.
Corporate FP&A leadership experience, ideally in a public-company, newly public, or public-company-readiness environment, with exposure to quarterly close, executive reporting, Board reporting, and other rigorous financial operating cadences.
Meaningful experience owning a consolidated P&L, company-wide forecast, and Balance Sheet and Cash Flow forecasting processes.
Advanced financial modeling and analytical skills, with the ability to build models from scratch, pressure-test assumptions, identify root causes, and translate complex analysis into clear, actionable insights.
Strong executive presence and communication skills, with experience preparing and presenting decision-ready materials to senior leadership and the Board, and influencing significant company decisions.
Proven ability to serve as a trusted business partner across functions and geographies, with strong business judgment and a track record of building effective cross-functional relationships.
Demonstrated success as a change agent, improving forecasting, planning, reporting, and operating processes as organizations scale.
Strong systems and technical fluency, including experience with Pigment and AI tools, and a track record of automating financial processes and applying AI to Finance workflows.
Ability to operate at multiple altitudes, from strategic thinking to detailed execution, while prioritizing competing demands and managing multiple projects in a fast-paced environment.
A player-coach mindset with high attention to detail and the highest standards of integrity, credibility, and accountability.
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $260,000 - $312,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Amsterdam, Netherlands
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 8,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in the Netherlands.
You speak Dutch and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Background Check
Successful applicants will be subject to background checks (including identity and criminal record checks).
JКомпания не указана
62
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Проведение индивидуальных онлайн-занятий по химии и/или биологии
— Подготовка и проверка домашних заданий
— Постоянная обратная связь по успеваемости учеников
— Оперативная коммуникация с работодателем и учениками
— Подбор эффективных методик обучения под каждого ученика
Требования:
— Опыт преподавания или репетиторства от 1 года
— Глубокие знания школьной программы по химии и биологии
— Умение объяснять материал доступно и интересно
— Ответственность, пунктуальность, доброжелательность
— Готовность быть на связи и поддерживать учеников вне занятий
— Навыки работы онлайн (Zoom, Skype, Google Meet и др.)
Условия:
— Гибкий график: возможность выбирать удобное время для занятий
— Частичная занятость, совмещение с учёбой или другой работой
— Работа полностью удалённая
— Возможность профессионального роста и обмена опытом
Location: Milan, Italy
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Account Manager – Bologna
WHY Deliveroo
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you.
What You’ll Be Doing
You’ll be joining the
Grocery & Retail
team.
This position is based i
n Bologna (Emilia Romagna).
We oversee relationships with high-volume strategic partners, using data-driven insights to navigate the rapidly evolving quick-commerce landscape.
Here’s what your day-to-day might look like:
Strategic Partnership Management:
Act as the primary consultant for a portfolio of different small and medium retail partners, building deep, long-term relationships.
Growth Consulting:
Use data manipulation and analysis to identify trends, increasing profitability and growth for both your partners and Deliveroo.
Revenue Generation:
Drive commercial value through upselling, cross-selling, and identifying new business opportunities within your portfolio.
Cross-Functional Leadership:
Collaborate with Marketing, Operations, and Customer Service to develop and implement bespoke solutions that solve partner challenges.
Operational Excellence:
Serve as the main point of contact for strategic partners, addressing complex issues with professional, timely, and scalable solutions.
What You’ll Need to Thrive
Essential:
Significant commercial experience
, with a background in retail, FMCG, or high-growth technology companies.
Knowledge of the food retail industry
, understanding the unique challenges and opportunities within the grocery sector.
Proven ability to manage long-term relationships
with strategic stakeholders and global brands.
Professional fluency in English
to collaborate with our global teams and partners.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire
here
.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Compensation
National Collective Agreement (CBA):
CCNL Commercio e Terziario
Classification Level:
Livello 3
The total target compensation (OTE (On-Target Earnings, ovvero la retribuzione totale prevista al raggiungimento del 100% degli obiettivi) for this role is €36,000 – €45,000 gross per year, of which the
base salary
range is €31,320 – €37,000.
The successful candidate's starting pay will fall within the pay range listed above and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
To learn more about our benefits, please do not hesitate to bring this up with your Talent Acquisition Partner!
The successful candidate's starting total target compensation (On-Target Earnings) for this role will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met.
Pay Range:
€36.000
—
€45.000 EUR
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Boston, MA; 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 is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
Triage cases by severity and urgency and share through the appropriate channels
Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
Contribute to regular reports on agentic harm trends and enforcement outcomes
Minimum qualifications
Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
Have sound judgment about when a case needs escalation, and the resilience to work with difficult content
Preferred qualifications
Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems
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:
$245,000
—
$285,000 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: Thuwal, Saudi Arabia
The Site Manager represents the Client on-site and oversees renovation activities to ensure safe, timely, and quality delivery in accordance with approved drawings, specifications, project requirements, and HSE standards. The role coordinates contractors and multidisciplinary stakeholders, monitors project progress, resolves site issues, and ensures the successful completion and handover of renovated housing units.
Key Responsibilities
Act as the Client’s primary representative at the project site and coordinate with the PMC, contractors, designers, operations, and end users.
Monitor renovation progress, contractor performance, schedules, resources, and site constraints.
Coordinate civil, architectural, electrical, mechanical, and other construction activities.
Ensure compliance with approved drawings, specifications, method statements, quality standards, and HSE requirements.
Identify and resolve technical issues, risks, delays, and site coordination challenges.
Lead site coordination meetings, track action items, and review contractor progress reports.
Coordinate inspections, snagging, testing and commissioning, defect closure, and final handover.
Liaise with operations and facilities management to confirm housing unit readiness.
Provide regular management reports on progress, risks, delays, and required decisions.
Qualifications and Experience
Bachelor’s degree in Civil Engineering, Architecture, Construction Management, or a related discipline.
Minimum 10 years of construction and site-management experience.
Proven experience in housing renovation, residential refurbishment, or building construction.
Experience managing multidisciplinary contractors and coordinating site activities.
Strong knowledge of health, safety, environmental, and quality requirements.
Project or construction management certification preferred; relevant professional registration where required.
Key Competencies
Site leadership and stakeholder management.
Construction planning, coordination, and problem-solving.
Quality assurance and HSE compliance.
Reporting, communication, and decision-making.
Location: Hautes de France, France; Montpellier, France; Nice, France; Toulouse, France
Are you a health professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have an allied health background or previous experience as a Physical Therapist, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 8,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in France.
You speak French and English (please submit your application in English)
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
JКомпания не указана
18
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Шукаємо людину, яка візьме на себе розвиток внутрішніх продуктів IT-компанії. У зоні відповідальності — 4 внутрішні продукти: Meeting Notes, ATS, HRM та Task Manager.
Location: Singapore
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 an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI.
Key responsibilities
Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors
Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations
Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation
Translate Claude’s technical capabilities into clear business value for manufacturing use cases
Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets
Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals
Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory
Identify new use cases and feed customer and market insights back into the product roadmap
Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI
Minimum qualifications
10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan
Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value
Track record of closing complex, multi-stakeholder enterprise deals
Existing commercial network among Taiwan-based enterprises
Fluency in Mandarin and English, with strong written and verbal communication and presentation skills
Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market
Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan
Bachelor’s degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors
Experience co-selling with hyperscaler, channel, or SI partners
Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements
Interest in or experience with advanced AI systems and their safe development
Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models
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: San Francisco, CA
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
As Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.
Key responsibilities
Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
Draft and review user-facing terms, disclosures, in-product copy and marketing claims
Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
Pick up new areas as priorities shift, and help with incidents and escalations when they come up
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
Experience advising business or product teams directly, not only other lawyers
Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
Curiosity about how AI products work, and the ability to pick up technical concepts quickly
A habit of making a clear recommendation, even with incomplete information
Comfort moving between assignments as priorities change, with no job too big or too small
Clear, concise writing that non-lawyers can act on
Openness to feedback and a track record of improving quickly
Experience using AI tools in your legal work, or a strong interest in learning to do so
Empathy and a service orientation, with a real commitment to Anthropic's mission
Preferred qualifications
In-house product counsel experience, or a secondment with a product team
Experience with subscription businesses, promotions, or consumer billing
Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services
Experience building playbooks, self-serve guidance or legal automation
Application Deadline:
6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$265,000
—
$335,000 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: Boston, MA; 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 Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values.
As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work.
Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis.
Key responsibilities
Serve as incident commander for Safeguards incidents from declaration through closure
Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams
Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on
Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications
Run post-incident reviews, assign action items to named owners, and track them through closure
Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement
Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident
Take part in after-hours and weekend incident coverage on a rotating basis
Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics
Draft and maintain runbooks and standard operating procedures
Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result
Maintain the incident record and the metrics that show leadership how the program is performing
Minimum qualifications
Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support
Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity
Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership
Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny
Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them
Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated
Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking
Ability to participate in after-hours and weekend incident coverage on a rotating basis
Preferred qualifications
Experience joining an incident response function early and helping write runbooks and review processes
Experience with incidents involving AI systems
Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications
Experience working with threat intelligence or security investigation teams during an incident
Experience with regulatory or external incident reporting and disclosure
Experience running an on-call rotation or support escalation queue, including setting and measuring response targets
Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality
Working knowledge of SQL or similar tools for analyzing incident and queue data
Experience designing and facilitating tabletop exercises
Genuine interest in AI safety and responsible technology development
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:
$245,000
—
$285,000 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: San Francisco; Washington D.C.
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs.
As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
WHAT YOU'LL DO:
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
- Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
- Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
- Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
- Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer).
- Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
- Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
- Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
WHO WE'RE LOOKING FOR:
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
- Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
- We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
- Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
- Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
- This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
- Evidence of exceptional ability and 99th-percentile work ethic.
- Strong technical skills at or above Perplexity's hiring bar for software engineers.
- Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer).
- High intrinsically-enforced standards for the craft and quality of your work.
- Strong communication and writing skills, ideally demonstrated via samples of past written work product.
- Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
- Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
- Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
- A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.
Location: United States
Workplace: Remote
Coder is looking for an Executive Assistant to support our Chief Revenue Officer (CRO) and Chief Marketing Officer (CMO). You'll help both leaders stay focused on the decisions, relationships, and priorities that move our business forward. Your work will keep two fast-moving organizations organized, connected, and prepared.
In this role, you'll manage complex schedules, coordinate executive communications, and bring structure to competing priorities. You'll work closely with leaders across Sales, Marketing, and the broader company to keep important work on track. We need someone who anticipates what's next, handles sensitive information with care, and makes the day-to-day easier for everyone involved.
WHAT YOU'LL DO HERE
- Serve as a trusted partner to our CRO and CMO, anticipating their needs, managing competing priorities, and helping them stay focused on what matters most.
- Manage complex calendars across multiple time zones, making thoughtful decisions about scheduling, prioritization, and executive availability.
- Coordinate executive meetings, including agendas, preparation materials, logistics, action items, and follow-ups to keep decisions and commitments moving forward.
- Own domestic and international travel arrangements, itineraries, expenses, and related logistics, adapting quickly when plans change.
- Facilitate clear, timely communication with internal and external stakeholders, including drafting correspondence and coordinating executive requests.
- Partner across Sales, Marketing, and other teams to coordinate leadership meetings, team offsites, customer engagements, and company events.
- Identify opportunities to improve workflows, streamline administrative processes, and bring greater efficiency to how our executives and teams operate.
WHAT WE'RE LOOKING FOR
- 5+ years of experience supporting senior executives, ideally at the VP or C-suite level in a fast-paced technology company.
- Proven ability to support multiple executives simultaneously, balancing competing priorities and adapting to different working styles.
- Exceptional organizational skills, attention to detail, and the ability to manage complex schedules, logistics, and deadlines.
- A proactive, resourceful approach to problem-solving, with the ability to anticipate needs, exercise sound judgment, and operate independently.
- Strong written and verbal communication skills, with the confidence to collaborate with stakeholders at all levels of the organization.
- Discretion, professionalism, and good judgment when handling sensitive information and confidential business matters.
- Comfort navigating ambiguity and shifting priorities, along with proficiency with AI, Google Workspace, Slack, Zoom, and other collaboration tools.
BONUS TACOS IF YOU HAVE
- Experience supporting Sales, Revenue, or Marketing executives at a scaling startup.
- Familiarity with go-to-market operations, including quarterly planning, sales kickoffs, leadership reviews, and customer events.
- Experience coordinating board meetings, investor engagements, or other high-visibility executive activities.
- Experience planning leadership gatherings, or other company events.
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.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news.
You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations.
You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land.
Key responsibilities
Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news
Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy
Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between
Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it
Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once
Minimum qualifications
Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products
An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy
Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land
A demonstrated ability to operate with high agency and low ego, with a bias to action
Preferred qualifications
8-10 years of experience in communications, PR, or product marketing
Communications experience at a developer platform, API-first, or enterprise software company
Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem
Experience managing communications for AI or ML products
Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early
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:
$265,000
—
$295,000 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: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression.
What you'll do
Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution.
Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers.
Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner.
Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting.
Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results.
Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings.
Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements.
Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change.
What you'll bring
Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software.
Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context.
Experience with Salesforce and partner-management systems or portals.
Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations.
Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others.
Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation.
Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems.
Preferred experience includes Impartner or similar tools, SQL, or Snowflake.
About the team
The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$86,400
—
$146,400 USD
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: Remote, Canada; Remote, United States
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.
As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability.
The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness.
In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time.
What you’ll do
Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.
Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.
Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.
Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.
Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.
Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.
Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.
Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).
What you’ll bring
Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups).
Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.
Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.
Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.
Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.
A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).
Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.
Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team.
About the team
GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform.
We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$162,000 USD
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
.
seniorUnited States (Remote)
УдалённоAmsterdam, Netherlands
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.
Milan, Italy; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
География найма не уточнена
Hautes de France, France; Montpellier, France; Nice, France; Toulouse, France
Singapore
San Francisco, CA
География найма не уточнена
San Francisco; Washington D.C.
УдалённоUnited States; Manage complex calendars across multiple time zones, making thoughtful decisions about scheduling, prioritization, and executive availability
География найма не уточнена
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоRemote, Canada; Remote, United States; Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team; The base salary range for this role’s listed level is currently for residents of the United States only
Все вакансии в одном месте - страница 17 · Job Hunters