Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
УдалённоUnited Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Location: Hong Kong; Singapore; US / Remote
Workplace: remote
About the Company
Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.
CertiK has spent years building security, risk, monitoring, and blockchain expertise across thousands of digital asset companies and institutional customers. As digital assets increasingly become part of mainstream financial infrastructure, security, financial crime risk, and regulatory compliance are converging. We believe there is an opportunity to build a new generation of institutional digital asset risk and compliance products at that intersection. This role will have significant influence over what that product becomes. We are looking for someone who wants to build it.
About the Role
CertiK is building the next generation of risk and compliance products for financial institutions and digital asset businesses. We are looking for a product leader to own this product area from customer discovery and product strategy through delivery, go to market, adoption, and expansion. This is not an internal compliance role. You are here to build the products that compliance, AML, financial crime, and risk teams use. You will work directly with financial institutions, exchanges, VASPs, fintechs, and other digital asset businesses to understand how their compliance teams operate, identify the problems that matter most, and turn those problems into scalable products. The product space may include areas such as blockchain and entity risk, transaction and wallet monitoring, sanctions and KYT, risk scoring, investigation and case management workflows, continuous monitoring, and compliance evidence and reporting. A core part of your job will be deciding which problems CertiK should solve first and which ones we should not. You will work closely with Product, Engineering, Data, Compliance, Business Development, and company leadership to build this product line.
Responsibilities
Own the product vision, strategy, and roadmap for CertiK's AML and digital asset compliance products.
Spend significant time with customers and prospective customers, including CCOs, MLROs, AML teams, investigators, and risk leaders, to deeply understand their workflows and unmet needs.
Identify repeatable market problems behind individual customer requests and determine which problems should become scalable products.
Translate customer and market insights into product concepts, prototypes, requirements, and clear engineering priorities.
Drive products from discovery through design, development, launch, adoption, and iteration.
Define the key workflows, risk models, decision systems, and user experiences required by institutional compliance teams.
Work closely with Engineering and Data teams to make appropriate product and technical trade offs.
Partner with Business Development and customer facing teams during strategic sales cycles, including discovery, product demonstrations, pilots, and design partnerships.
Work with Compliance and regulatory experts to translate evolving AML, sanctions, and digital asset requirements into scalable product capabilities.
Measure success through customer adoption, product usage, enterprise wins, expansion, and other measurable business outcomes.
Requirements
Significant product management experience building B2B software in fintech, regtech, financial services, risk, compliance, or digital assets.
A track record of owning meaningful products or product areas from discovery through launch and adoption.
Deep understanding of AML, financial crime, transaction monitoring, sanctions, KYC/KYB, investigations, or related compliance workflows.
Experience building or working closely with products such as transaction monitoring, blockchain analytics, wallet screening, risk engines, case management, investigation platforms, or compliance workflow systems.
Strong customer discovery skills. You can speak credibly with senior compliance leaders and frontline analysts, understand both what they say and what they actually need, and translate those insights into product decisions.
Strong product judgment. You know the difference between a one off customer request and a repeatable market need, and you are comfortable making hard prioritization decisions.
Commercial instincts. You understand that a successful enterprise product must not only work, customers must adopt it, pay for it, and expand their usage.
Ability to operate in an ambiguous, early stage product environment and personally drive work forward rather than simply coordinate across teams.
Bonus Points
Experience building AML or compliance products at a blockchain analytics, fintech, regtech, exchange, bank, or financial infrastructure company.
Experience with blockchain analytics, KYT, wallet screening, on chain investigations, or digital asset risk.
Previous experience as an AML practitioner, compliance officer, MLRO, investigator, or financial crime professional.
Experience working with regulated financial institutions and understanding how compliance products are evaluated, procured, implemented, and operated.
Experience with regulatory examinations, VASP licensing, or financial crime remediation.
CAMS or another relevant professional qualification.
Relationships with compliance and risk leaders across banks, fintechs, exchanges, VASPs, regulators, or law enforcement.
The expected annual base salary range for this position in the United States is $150,000 to $220,000. Compensation for candidates outside the United States will be determined based on location, experience, and qualifications.
#blockchain
#startups
#hiring
CertiK accepts applications for this position on an ongoing basis.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
All CertiK employees are expected to actively support diversity on their teams, and in the Company.
Location: San Francisco, CA | New York City, NY
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
You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships.
Responsibilities
Financial Analysis
: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making
Deal Structure Optimization
: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
Deal Review and Approval Management
: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
Cross-Functional Coordination
: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
Risk Assessment
: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
Policy Implementation
: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
Process Development
: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
Documentation and Reporting
: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance
You may be a good fit if you
Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals
Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
Have experience with CRM systems, CPQ tools, and contract management platforms
Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership
Strong candidates may also have
Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
Experience with deal desk operations at companies with subscription and consumption-based business models
Knowledge of enterprise software contract terms and industry-standard commercial practices
Understanding of AI business models and the unique commercial considerations
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:
$240,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
The Role:
Senior Site Reliability Engineer
Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
What we're looking for
5-8 years in a DevOps or platform engineering role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Nice to have:
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Why Tavily?
Full ownership
— small team, you own the entire infrastructure, not a slice of it
Real scaling challenges
— bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company
— your infra directly powers AI agents used by leading companies in the space.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Espoo
Workplace: Hybrid
- Senior Software Engineer (Telemetry)
- Fleet Automation, Engineering
- Espoo, Finland
- Permanent
- Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
The Mission of the Senior Software Engineer (Telemetry)
Satellite telemetry does not forgive gaps. Build the systems that make sure there are none.
ICEYE's SAR constellation generates a continuous stream of data that fleet operations depend on to function. As a Senior Software Engineer on the Fleet Automation team, you will be a key contributor to the infrastructure that makes that data usable: the pipelines, parsers, and time-series stores that translate raw satellite signals into operational state in near real-time. The scope is expanding, the ownership is real, and the engineering problems are ones you will not find anywhere else.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
Expected Outcomes and Requirements
Outcomes:
- Telemetry pipelines ingest, transform, and store satellite data from across the fleet reliably and in near real-time, with minimal manual intervention
- Telemetry data stores are performant and well-maintained, including schema design, query optimisation, capacity planning, and zero-downtime production migrations
- Anomaly detection and automated recovery systems reduce operational load on the mission operations team
- TTC gateway telemetry integration is delivered as a production-grade component ready for customer deployment
- Engineering quality across the team is actively raised through code reviews, testing standards, and support of less experienced engineers
Role-specific Competences
- Strong Python proficiency in production backend systems; experience with Go or Rust is a plus
- Proven experience building and operating telemetry systems, data pipelines, and distributed systems in production
- Strong working knowledge of PostgreSQL and at least one time-series database such as InfluxDB or Prometheus
- Hands-on experience with Kubernetes-native environments, Docker, and infrastructure-as-code tools such as Terraform and Helm
- Actively uses AI and LLM tooling as part of their engineering workflow
- AWS or equivalent cloud platform experience is a plus
Key Competences
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
Passion and Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
Ownership and Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
Integrity and Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
Application Process
- TA Partner Screen
- Hiring Manager Interview
- Technical Interview
- Values and Fit Interview
- Final Interview with SVP of Engineering
What We Offer at ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits
- A job that matters in a dynamic Defense Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborative offices and silent workspaces to enable focus
Base salary range for this position is 6 000 to 8 500 EUR per month (gross), contingent on your experience level, and will be negotiated individually.
Our Commitment to Diversity, Equity, and Inclusion
At ICEYE, we believe that diversity is not just a buzzword, it is our greatest asset.
We are committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we are stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West)
Workplace: Hybrid
ABOUT THE ROLE
Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work.
THE TECHNICAL CHALLENGES
Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers.
Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next.
Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create.
IMPACT
In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back.
At twelve months you will have:
- Set a multi-year technical strategy for Reporting & Insights
- Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth
- Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers
- Put shared foundations for AI-native reporting and insights into production
- Grown the Lead and Senior Engineers around you and raised the technical bar across the group
Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team.
OWNERSHIP
You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems
WHO YOU’LL WORK WITH
You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on.
WHAT YOU BRING
Must-have:
- You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it.
- You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries.
- You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters.
- You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system.
- You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on.
Nice to have:
- Financial, reporting or analytics domain experience
- LLM or agent-based features in production
- .NET and AWS
- A presence in the wider tech community through talks, writing or open source
HOW WE WORK
We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions.
WHERE WE WORK
We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington.
OUR HIRING PROCESS
1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role.
2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios.
3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity.
4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency.
5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is $227,700 - $284,600 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia
The Safety Specialist will support the Safety Lead in implementing and maintaining occupational health and safety programs across
KAUST facilities, operations, maintenance activities, construction works, and projects
. The role will focus on field inspections, audits, risk assessments, incident investigations, safety documentation, contractor engagement, training, corrective action tracking, and compliance with
ISO 45001, HSE policies, and applicable regulatory requirements
.
The position requires a strong field-oriented HSE professional who can identify hazards, evaluate risks, provide practical safety guidance, investigate incidents, and work effectively with facility owners, project teams, contractors, and service providers.
Key Responsibilities
HSE Program Implementation: Support the Safety Lead in implementing and continuously improving risk-based safety programs across facilities, operations, maintenance, construction, and projects.
Safety Inspections & Audits: Conduct risk-based site inspections, safety audits, compliance evaluations, and field verifications to ensure HSE requirements are being followed.
Risk Assessment: Perform hazard identification and risk assessments and verify that appropriate control measures are implemented and effective.
Safety Documentation Review: Review HSE documents including risk assessments, method statements, safety plans, permits-to-work, lifting plans, excavation plans, confined-space controls, electrical work procedures, and MOC documentation.
Incident Investigation: Investigate or support investigations of accidents, injuries, incidents, and near misses, identify root causes, and recommend corrective and preventive actions.
Corrective Action Tracking: Monitor corrective and preventive actions arising from inspections, audits, investigations, and observations, ensuring timely closure and escalation of overdue actions.
HSE Training & Awareness: Develop and deliver safety training, toolbox talks, workshops, permit-to-work training, and awareness programs to improve employee and contractor competency.
Stakeholder & Contractor Support: Provide practical HSE guidance to facility owners, project teams, contractors, service providers, and other stakeholders to support safe execution of activities.
HSE Reporting & Data Analysis: Collect and analyze HSE data, KPIs, inspection findings, audit results, incident trends, and corrective action status, providing reports and recommendations to management.
Safety Culture & Compliance: Promote a strong safety culture, intervene in unsafe activities, communicate lessons learned, maintain accurate HSE records, and support compliance with ISO 45001, regulations, policies, procedures, and industry best practices.
Requirements
Education: Bachelor’s degree in Occupational Health & Safety, Engineering, Science, or a related safety discipline is required.
Professional Certification: ISO 45001 Lead Auditor certification is required.
Incident Investigation: Certification or formal training in Incident Root Cause Analysis is required.
HSE Experience: Minimum 5 years of relevant experience in occupational safety, facilities safety, construction safety, contractor management, projects, auditing, compliance, or related HSE functions.
Risk Management: Strong experience in hazard identification, risk assessment, risk control, and implementation of risk-based safety programs.
High-Risk Activities: Practical knowledge of safety controls for work at height, lifting operations, excavation, confined spaces, hot work, electrical work, and permit-to-work systems.
ISO & Audit Knowledge: Working knowledge of ISO 45001, safety management systems, auditing, inspections, incident investigation, and corrective action management. Knowledge of ISO 19011 and ISO 31000 is an advantage.
Safety Certifications: Additional recognized HSE qualifications such as CSP, CHST, NEBOSH Certificate/Diploma, IOSH, or equivalent are preferred. Train-the-Trainer certification is also an advantage.
Communication & Reporting: Excellent English communication skills with the ability to prepare professional HSE reports, inspection records, investigation reports, presentations, and safety documentation.
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:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Please note this role requires 3 days in office per week.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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.
At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must!
Responsibilities:
Design, build, and maintain scalable features and infrastructure for AI-powered development tools
Engage directly with developers inside and outside Anthropic to gather insights and improve user experience
Collaborate with researchers to improve model capabilities through shared tools and evals
Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones
Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance
Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments.
You may be a good fit if you:
Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity
Spend a lot of time refining and customizing your AI workflows
Have experience building and maintaining dev tools
Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
Specialize in user experience engineering but are a capable full stack developer
Have hands-on experience working with large language models and prompt engineering
Have worked on projects with stringent safety, security and/or compliance requirements
Care about the societal impacts and ethics of your work
Have 6+ years of work experience
Strong candidates may also have experience with:
Building and maintaining CLI tools
Working in large codebases and quickly jumping in to unfamiliar development environments
Working with container orchestration and cloud infrastructure
Scaling TypeScript projects
Working with alternate JavaScript runtimes like Bun and Deno
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:
$320,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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 working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial.
This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams.
You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence.
Key responsibilities
Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation
Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality
Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management
Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls
Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems
Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations
Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines
Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default
Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data
Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards
Advise on and advocate for privacy practices as a core part of how we approach AI safety
Minimum qualifications
Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation
Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale
Experience designing and implementing privacy infrastructure for systems with a large user base
Experience with data governance, classification, or data lifecycle management systems
Experience with distributed systems and cloud infrastructure at scale
Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs
Experience conducting privacy reviews, threat modeling, or risk assessments
Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams
Preferred qualifications
Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation)
Experience building privacy infrastructure or controls for machine learning or AI systems
Experience establishing a privacy engineering practice, or being an early hire in a function
Experience serving as a technical lead on complex, multi-quarter projects
Contributions to open-source privacy tooling, privacy research, or industry standards
12+ years of experience in a software engineering role, including building and operating large-scale infrastructure
3+ years of experience leading large, complex projects as a technical lead
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Workday Integrations Developer, you'll build and integrate Vercel-powered People tools and own our core Workday integrations, replacing legacy busywork with a modern, headless HR tech stack. You'll partner with People, Finance, IT, and Engineering stakeholders, building real functional fluency in People Operations so you understand not just how data moves between systems, but why it needs to move that way. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office.
What you'll do
Build, maintain, and troubleshoot Workday integrations (EIB, Core Connectors/Cloud Connect, Workday Studio, APIs) that support key People Operations and Finance workflows
Build and integrate Vercel-powered internal People tools as part of a push toward a headless HR tech stack
Partner with People Operations, Finance, IT, and Engineering stakeholders to translate process requirements into reliable, well-documented integration solutions
Develop working knowledge of core People Operations processes, including hire-to-retire, compensation, benefits, and org management, to inform integration and system design decisions
Monitor integration health, troubleshoot failures, and maintain documentation of integration logic and field mappings, and contribute to testing, security, and change-management practices as the system scales
What you need
4+ years of hands-on experience building and maintaining Workday integrations using EIB, Core Connectors/Cloud Connect, Workday Studio, and/or APIs
Working knowledge of XML/XSLT, calculated fields, and the Workday Business Process Framework
Experience with generative AI and agentic coding platforms
Comfortable owning discrete integration projects independently, with guidance from senior team members on complex or ambiguous problems
Bonus if you
Have exposure to Workday security configuration
Have experience using Workday Extend to build applications
Have contributed to internal tools or platform engineering work beyond a core HRIS
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $160,000 - $195,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote, Japan, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking to hire an Enterprise Sales Director to join the Revenue Team. This person will be responsible for building out our enteprise customer base within various regions in Japan. The ideal person will be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs.
What You'll Do
6+ years closing experience in technology sales, with a proven track record of exceeding annual targets
Ability to understand complex technical concepts and develop them into a consultative sale
Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO)
The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams
Ability to operate in an ambiguous and fast-paced work environment
A passion for being an inclusive teammate and involved member of the community
Experience with SQL or willingness to learn
What You’ll Need
Own the full sales cycle from lead to ongoing utilization for commercial prospects
Organize POC implementations of dbt Cloud Enterprise
Lead and contribute to team projects that develop our sales process
Work with product to build and maintain the dbt Cloud commercial roadmap
Become an expert in SQL, dbt, and commercial data operations
Be an active member of the dbt open source community
What Will Make You Stand Out
Prior experience in analytics, ETL, BI, and/or open-sourced software
Knowledge of or prior experience with dbt
Remote Hiring Process
Interview with Talent Acquisition Partner
Interview with the Hiring Manager
Team Interviews; Sales & Solutions Architects
Pipeline Generation Activity with Sales Leadership
Benefits
Unlimited vacation time with a culture that actively encourages time off
401k plan with 3% guaranteed company contribution
Comprehensive healthcare coverage
Generous paid parental leave
Flexible stipends for:
Health & Wellness
Home Office Setup
Cell Phone & Internet
Learning & Development
Office Space
Compensation
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA | 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
We are seeking a Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business.
This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions.
Responsibilities
Intake & Triage:
Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows
Tax Configuration:
Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration
Testing & Change Management:
In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live
Tax Data Analysis:
Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team
Controls & Evidence:
Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure
Cross Functional Collaboration:
Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship
Process Improvement & AI Tools:
Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely
Minimum Qualifications
Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role
Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help
Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams
Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence
Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors
Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary
Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone
Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn
Prioritize well and stay resilient when there is more work than time
Preferred Qualifications
Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives)
Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data
Python and data warehouse experience
Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices
Experience with marketplace facilitator rules or usage-based billing
Familiarity with e-invoicing and real-time tax reporting requirements outside the US
Experience standing up a recurring controls evidence cycle
A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review
Tax experience at a large or high growth technology company, such as a multinational SaaS business
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:
$205,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
ABOUT US
Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand.
We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot.
Every year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come!
Check out our Careers https://careers.circle.so/ page for more about working at Circle.
ABOUT THE ROLE
We’re hiring a Social Media Lead to help build Circle’s social and media function from the ground up. Circle has one of the most interesting brands in the creator economy, but our social accounts don’t yet reflect the strength of the brand or reach the audience they should. This role is a chance to help change that — turning strong ideas, customer stories, partner moments, and long-form content into social content people actually want to watch and share. You’ll help build the engine: creating the content, supporting the strategy, and helping establish the rhythm and systems that make strong output repeatable. Reporting to our VP of Partnerships and Creator Growth, you’ll work closely with our founders and leadership team, as well as teammates across Community, Events, Product Marketing, Partnerships, and our Design Studio, to help Circle show up on social with more clarity, consistency, and ambition.
This is a remote role, which requires travel up to 25% of the time.
WHAT YOU'LL BE DOING
- Execute Circle’s social content strategy across channels, helping translate direction into strong, platform-native output.
- Produce and publish social-first content with a strong emphasis on short-form video.
- Edit video independently, including cutting clips, shaping hooks, writing captions, and packaging content for distribution.
- Build and maintain the content operating rhythm, including calendar management, capture workflows, and coordination across teams.
- Partner with leadership and other stakeholders to identify content opportunities tied to partnerships, events, community, and customer stories.
- Collaborate on longer-form content development so shoots are designed with short-form distribution in mind from the start.
- Attend Circle’s events and key moments to capture content and support Circle’s presence on social (this role will require travel up to 25% of the time).
- Track leading indicators like non-follower reach, watch-through, saves, shares, and cadence consistency, and use them to improve execution over time.
- Bring practical recommendations on formats, workflows, and content opportunities based on what’s working.
WHAT YOU'LL NEED TO BE SUCCESSFUL
- Experience creating content for a tech, SaaS, creator economy, or community-led brand, with a clear understanding of how those audiences engage with social content.
- Video editing and production skills, including the ability to work independently in Adobe Premiere or a comparable professional editing tool to create polished short-form content quickly.
- Deep fluency across platforms like Instagram, TikTok, YouTube, and LinkedIn, with a solid grasp of what each platform is rewarding and how non-follower reach compounds over time.
- A clear point of view on what earns attention on social, with the ability to identify what’s working, what isn’t, and why.
- Awareness of the social and creator economy landscape, including fluency in how brands in our space are showing up today and what separates the ones that break through.
- Comfort being on camera when needed and capturing content independently in a fully remote environment.
- Operational instincts and the ability to build repeatable systems for planning, capture, and cross-functional coordination.
- Good judgment in cross-functional environments, with a clear understanding of how to support a long-term social strategy centered on non-follower reach and the ability to recognize when requests may conflict with those goals.
- Exceptional written and verbal communication skills in English (CEFR C2 or equivalent), as most collaboration at Circle happens asynchronously.
COMPENSATION & BENEFITS
Circle offers U.S.-benchmarked compensation globally, equity in the company, 35 days of paid time off each year, and more.
We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub
LEARN MORE
- Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790
- Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba
- How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51
- Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0
- Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.
Location: Montreal, Canada
ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE.
* OPEN TO US AND EUROPE BASED CANDIDATES *
As part of the the Software Integration Team, you will serve as the technical focal point for software integration planning and execution, overseeing contributions from various development teams (e.g., digital processing, embedded control, test automation, and ground segment). You will define
the integration strategy, verify interfaces, lead validation activities, and review the documentation and development plans to ensure alignment with system-level requirements
TASK
• Define and maintain the software integration strategy and schedule across multiple teams and subsystems.
• Ensure the compatibility of software interfaces between digital payload units, system controllers, and test systems.
• Oversee the integration and test campaigns of software components in lab environments and, later, in system-level payload testing.
• Drive the verification and validation (V&V) process for integrated software, ensuring traceability to system requirements.
• Coordinate closely with systems engineering to ensure software behavior aligns with payload-level functional and performance expectations.
• Review software development plans, ICDs, interface documentation, test reports, and release notes to confirm completeness and compliance.
• Identify integration risks early and support troubleshooting, debugging, and resolution of system-level software issues.
• Foster collaboration across software, hardware, and systems teams to ensure robust and consistent integration practices.
MUST HAVES
• Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in software development and integration, preferably in the aerospace or telecommunications domain.
• Strong experience leading software integration activities in complex, distributed systems.
• Good understanding of digital telecommunications payloads, especially architectures involving Software Defined Radio (SDR) and digital beamforming.
• Familiarity with embedded software, real-time operating systems (RTOS), FPGA interfaces, and communication protocols.
• Hands-on knowledge of test automation, CI/CD practices, and tools such as GitLab, Jenkins, Python, MATLAB, and Docker.
• Ability to coordinate across disciplines and manage technical risks associated with software integration.
• Must be eligible to work in Canada and capable of obtaining necessary security clearance.
COMPLIMENTARY SKILLS/KNOWLEDGE
• Previous experience in Space and/or Constellation Operations
• Knowledge of requirements Management tools such as DOORS/Windchill/Jama
• Demonstrated capability to efficiently work autonomously and with little to no supervision
• Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Germany; France; Netherlands; Spain
Workplace: Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
THE TEAM AND YOUR IMPACT
We're hiring a Business Development Representative to help build Qdrant's enterprise pipeline. You'll report directly to our Enterprise sales leaders and work side by side with them on the accounts that matter most to our growth.
This isn't a role where you'll just work a list. You'll run both inbound and outbound motions, and you'll operate strategically inside key accounts to help identify and drive expansion opportunities alongside the Enterprise team. You'll be a first line of contact for engineering and AI leaders evaluating vector search infrastructure, so a genuine curiosity about how production AI systems are built matters here.
WHAT YOU WILL OWN
- Report directly to Qdrant's Enterprise sales leaders and act as an extension of their account strategy.
- Run outbound prospecting into named enterprise accounts, targeting engineering, AI, and data leaders building retrieval and agentic AI systems.
- Qualify and progress inbound leads generated by marketing, content, and community channels.
- Research target accounts to identify expansion opportunities within existing customers and new logos in strategic segments.
- Work closely with Enterprise AEs to develop strategic outreach and multi-threaded account plans for key accounts.
- Run discovery conversations to understand a prospect's retrieval, search, and AI infrastructure challenges.
- Book qualified meetings and hand off well-scoped opportunities to the Enterprise sales team.
- Build outbound workflows using tools like Claude and Common Room to research accounts, personalize outreach, and scale prospecting.
- Keep Salesforce and pipeline data accurate and current, and share account and market insights back with sales, marketing, and product teams.
- Hit monthly and quarterly targets for qualified pipeline generated.
WHO YOU ARE
- Up to three years of experience in a business development, sales development, or similar quota-carrying prospecting role, ideally at a technical B2B SaaS or infrastructure company.
- A track record of hitting or exceeding pipeline generation targets.
- Comfort with both inbound follow-up and proactive outbound prospecting into enterprise accounts.
- Strong written and verbal communication skills, with the ability to speak credibly to technical audiences.
- A genuine interest in AI infrastructure, vector search, or developer tools. You don't need to be an engineer, but you should be willing to learn the technical fundamentals.
- A genuine interest in building a career in sales.
- Experience with a CRM (Salesforce) and sales engagement tools.
- Organized, self-motivated, and comfortable operating with a degree of ambiguity in a fast-growing company.
NICE TO HAVE
- You have an understanding of key personas in the AI/ML space.
- Familiarity with databases, search, and cloud infrastructure.
- Engineering or computer science background.
WHY JOIN US
- A remote-first, international team working on cutting-edge AI infrastructure.
- A competitive salary with additional perks.
- Flexible working hours and async-friendly culture.
- High ownership and real impact.
- Open-source, engineering-driven culture.
- Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/
#LI-REMOTE
УдалённоHong Kong; Singapore; US / Remote
Netherlands - Remote
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.
seniorIsrael; By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed
ГибридseniorEspoo; Relocation support (flight tickets, accommodation, relocation agency support)
ГибридCAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West); This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California; We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington
Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоГеография найма не уточнена
Hybrid - San Francisco, New York City, Austin
УдалённоRemote, Japan, APAC
San Francisco, CA | Seattle, WA
УдалённоleadUnited States; We collaborate across time zones, are highly async, and like to document a lot
India - Remote
УдалённоMontreal, Canada
УдалённоGermany; France; Netherlands; Spain; We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds