Location: Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior Electronics Engineer
- Location: Warsaw, Poland
- Department: Engineering
- Reports to: Engineering Lead, AOCS Hardware
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
You design and own the embedded electronics that give ICEYE’s spacecraft the ability to sense their environment, make decisions, and act, safely and reliably, in orbit. Working closely with firmware and systems engineers, you take hardware from first schematics through bring-up, verification, and on-orbit support, always looking for ways to make the next design more robust than the last.
Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our Attitude and Orbit Control Systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation architectures to maintenance and optimization of existing systems we and our customers operate.
We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launched to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry.
You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Design and develop embedded electronics hardware (schematic and layout) for mission-critical onboard systems, using Altium Designer and/or Mentor Graphics PADS.
- Design digital control and interface circuitry around microcontrollers and/or FPGAs, including sensor and actuator interfaces, protection circuits, and fault handling.
- Own the complete lifecycle of the hardware you create, from development and testing through handover to the missions team, and troubleshooting of in-orbit issues.
- Work closely with firmware, mechanical engineers, and systems engineers to define hardware interfaces and develop joint verification test cases.
- Take ownership of your electronics, including verification testing and writing documentation.
- Support on-orbit troubleshooting for hardware you have developed, as needed
WHAT WE’RE LOOKING FOR
Must haves:
- Master’s or Bachelor’s degree in electrical engineering, computer engineering, physics, or another relevant discipline.
- 5+ years developing electronics (schematic and layout) using Altium Designer and/or Mentor Graphics PADS.
- Strong experience in digital and embedded control electronics, including microcontroller/FPGA interfacing (ADC, PWM, GPIO), sensor and actuator interfaces, and protection circuitry (overcurrent/overvoltage detection, fault handling, safe-state transitions).
- Experience designing serial communication hardware (e.g. I2C, SPI, UART, RS485, CAN), including proper isolation and protection.
- Working knowledge of high-speed and low-speed parallel interfaces relevant to embedded systems (e.g. JTAG, Ethernet, DDR/SRAM, Spacewire), as needed for the platforms you support.
- Ability to work closely with firmware engineers to define hardware interfaces and develop joint verification test cases.
Nice to haves:
- Experience designing and testing high-reliability, safety-critical, and fault-tolerant systems.
- Experience with power electronics design supporting embedded control systems.
- Hardware debug experience, including familiarity with tools such as oscilloscopes, logic analyzers, protocol analyzers (SPI, CAN, Ethernet, or similar), and spectrum analyzers.
- Programming skills, including C/C++, Python, and MATLAB, for firmware integration or hardware characterization.
- Experience with revision control tools such as Git or SVN; comfortable working in Linux.
- Familiarity with high-speed SERDES interfaces (e.g. JESD204a/b/c) is a plus for engineers supporting higher-bandwidth payload electronics.
- Creative approach to problem solving, and ability to work effectively in a dynamic, fast-changing environment.
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager Interview
- Technical Interview
- (on-site) Technical Interview based on a task
- (on-site) System Design Workshop
- (on-site) Final Values & Fit Interview with Director of Engineering
- Offer Decision
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
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: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Technical Program Manager for our Engineering Operations team to help us reach our goals and make our Engineering team the best it can be!
The mission for the Staff Program Manager, Engineering Operations, is to maintain and accelerate the highest level of execution excellence of Fivetran engineering. Our Engineering organization comprises several global functional groups that use a range of processes, systems, tools, and KPIs to jointly deliver best-in-class data pipelines and drive innovation.
The role focuses on increasing the efficiency and effectiveness of one or more of our Engineering functions in delivering our strategic objectives by streamlining engineering processes and leading major initiatives, such as process and efficiency improvement projects & programs.
As the majority of the processes are in the software development industry, the role assumes you have broad experience in software development and have led multiple programs that shipped software from start to finish. You have worked closely with cross-functional teams with design, research, product, and engineering. Preferably, you work at a tech company and are heavily involved in engineering operations, with a deep understanding of how engineering processes work under the hood and how to take them to the next level.
We want you to bring your passion for problem-solving, experience in the tech world, and the drive to help us get to the next level, and have some fun along the way.
This is a full-time position based out of our Bengaluru office.
Technologies You’ll Use
Jira, Google Workspace, Notion, Claude Cowork/Code, Slack, Lucidchart, Looker, BigQuery, ChatGPT/codex
What You’ll Do
Ensure operations and strategy execution work seamlessly and effectively, and streamline engineering processes so they are simple, value-oriented, and scalable.
Oversee operations for your respective global group, with a particular focus on increasing efficiency, stability, and effectiveness in delivering their strategic objectives.
Act as a strategic partner for the global group leader regarding short and long-term vision, planning (quarterly and annual), and execution, as well as establishing and tracking engineering OKRs and KPIs. All this with consistent alignment with engineering-wide policies and practices.
Maintain the engineering process library and improve it in collaboration with process owners, other operations managers, the PMO, engineering leadership, and leadership of partnering departments such as Product, Analytics, and Design.
Lead and manage process and efficiency improvement programs aiming to set up or improve engineering and cross-departmental processes, from problem definition and data analysis through solution proposal, stakeholder alignment, and execution — resulting in documented, repeatable, and measurable processes.
Collaborate and openly debate with the team of operations managers to manage engineering initiatives, solve problems, discuss challenges, and learn more about critical issues as a group of Engineering Operations.
Work with Engineering teams to ensure adherence to operational processes, conduct process audits and check-ins, and discuss opportunities for improvement with senior engineers and engineering leadership, identifying opportunities to optimize and automate routine operations.
Provide leadership, improvement, and support of our internal knowledge management process and information structure in collaboration with PMO, technical enablement teams, and technical writers.
Support the coordination, preparation, and delivery of company-wide engineering updates and events.
Act as a role model and a champion for operational excellence, project management practices, risk management, and security practices.
Skills We’re Looking For
10+ years of experience in technical/operations management in the technology/software development industry.
Ability to work directly with senior leadership on strategic programs, including leading cross-functional R&D initiatives from start to finish.
Comfortable navigating ambiguity, working independently, and problem-solving within fast-paced and constantly changing environments.
Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels.
A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills.
Ability to identify and meet with key players and stakeholders to shape consensus collectively and engage in dialogue to reach a conclusion, compromising as necessary for results.
You are fearless, goal-focused, and pragmatic, and you understand the complexity of working with a multitude of different teams and people.
You are recognized as a go-to expert in one or more engineering operations domains (e.g., System Design, Data Architecture, Infrastructure Management, including cost management, Quality) and use that expertise to drive innovation in how your global group approaches them - not just facilitate conversations, but shape and influence the technical direction of SDLC and process decisions.
Stays current on industry trends and business developments relevant to engineering operations, and applies that context to inform recommendations and decisions.
Ability to leverage AI to increase your own productivity and leverage it in the solutions you're building.
(Optional)Bonus Skills
Experience driving projects end-to-end, and shipping complex, large-scale software projects with global teams utilizing different SDLCs.
Familiarity with project management tools like Jira, knowledge management tools like Notion, and analytical tools like Looker and Sigma.
Experience working with cloud platforms and SaaS companies is a plus.
Familiarity with the following technologies is a plus: Cloud service providers (AWS, GCP, Azure), ETL or ELT, modern data stack.
#LI-Hybrid
#LI-LA1
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: Munich, Germany
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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market.
Responsibilities:
Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
Native German speaker
with excellent written and verbal communication skills in German and English
7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies
Specialised sales industries experience: Materials & Industrial
A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market
A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
What We Offer:
Competitive base salary and commission structure
Equity participation in Anthropic's growth
Comprehensive benefits package
Opportunity to shape the AI industry in DACH and EMEA
Professional development and career growth opportunities
Location:
Munich, Germany (hybrid working available)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€265.000
—
€310.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Philippines
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models.
Grow With Us
Workstream is looking for a Team Lead for Global Data Operations. In this role,
you will serve as the frontline leader bridge between the Operations Manager and the Video Data Contributors / Quality Auditors. You will be responsible for daily team performance, real-time technical troubleshooting, and auditing video footage for accuracy, camera alignment, and data compliance.
This is a high-impact role for someone who thrives in fast-paced tech operations, possesses strong attention to detail, and enjoys coaching a distributed team.
Day In The Life
Team Leadership & Daily Operations
Lead, mentor, and monitor the daily output of a team of
Video Data Contributors
and
Quality Reviewers
.
Track key team metrics including daily upload volume, active contributor retention, and error rates.
Conduct regular Q&A sessions and support office hours to answer contributor questions on filming protocols and hardware setup.
Foster high engagement and lower churn across a contract-based/distributed team.
Technical Guidance & Quality Assurance
Perform regular audits on uploaded video data to verify usability, camera positioning, lighting, and recording angles.
Troubleshoot hardware setup issues (wearable multi-camera setups, head-straps, smartphone mounts) and resolve technical uploading bottlenecks (Google Drive, cloud tools).
Identify recurring failure patterns in footage and work with the Operations Manager to update guidelines and training materials.
Onboarding & Hardware Coordination
Support the onboarding of new team members, conducting technical readiness checks and verifying required hardware/camera specs prior to project launch.
Help manage local physical lab activities and equipment usage when transitioning to office-based operations.
Compliance & Administration
Enforce strict data privacy protocols (e.g., ensuring no PII or non-consented faces/sensitive items are present in footage).
Track contributor hours, video task completion rates, and submission logs to assist management with compensation and bonus payouts.
Recruitment Support & Onboarding Coordination
Application Screening Support:
Assist the Recruiting team by screening incoming applications against specific operational criteria (e.g., camera/smartphone hardware specs, workplace access, schedule availability).
Onboarding Execution:
Coordinate with People Ops to guide qualified candidates through document completion, NDA signing, and equipment setup, resolving bottlenecks to get contributors ready quickly.
Pipeline Status Tracking:
Track squad capacity and candidate conversion rates, flagging upcoming contributor shortages to the Recruiting team to trigger hiring drives before production targets are missed.
Financial Reconciliation & Payroll Coordination
Hours & Data Reconciliation:
Audit weekly contributor activity logs against verified, usable video uploads to ensure the company only pays for approved footage.
Finance Reporting:
Consolidate squad data into accurate "Ready-to-Pay" reports and submit them to the Finance/Payroll team on scheduled payout cycles.
Payout Support & Dispute Resolution:
Act as the primary administrative contact for contributor payment inquiries, investigating and resolving discrepancies between submitted logs and final payouts.
Who You Are
Leadership Experience:
3+ years of experience as a Team Lead or Senior Specialist in BPO, AI Data Annotation, Marketplace Operations, or Tech Operations.
Technical Aptitude:
Tech-savvy with hands-on experience using multi-camera hardware, smartphones, or recording wearables. Ability to quickly master and teach multi-angle recording nuances.
Eye for Quality:
Exceptional attention to detail with experience auditing visual or data-driven deliverables.
Communication:
Excellent verbal and written English communication skills; comfortable hosting team syncs and drafting operational guidelines.
Adaptability:
Comfortable working with distributed/gig workforce structures and operating in a high-growth startup environment.
Preferred Qualifications
Prior experience in
AI/Computer Vision data collection
,
Data Labeling
, or
Media Production/QA
.
Experience in hardware tracking or logistics management.
Exposure to working with cross-functional global teams (US and Philippines).
Working Conditions & Requirements
Work Setup:
Initial remote/work-from-home setup, transitioning to a hybrid/office-based setup in
Metro Manila
(2 to 4 days per week).
Compliance:
Strict policy on moonlighting; candidates must agree to background
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Location: Munich, Germany
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.
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
Native German speaker with fluent English proficiency
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris, France
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.
En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles.
En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité.
Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise.
Responsabilités
Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients.
Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production.
Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise.
Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie.
Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA.
Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement.
Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux.
Être un champion de la mission d'Anthropic sur le terrain.
Profil recherché :
Vous avez plus de 8 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature.
Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle.
Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production.
Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes.
• Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité.
• Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives.
• Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative.
• Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout.
• Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
Native French speaker with fluent English proficiency
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Limassol Cyprus
Workplace: OnSite
Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games.
Our mission: to unite and excite people all over the world.
We are looking for an experienced Recruiter who loves communication, numbers, and creativity and feels that recruitment is their vocation, to join our energetic Recruitment team at Scorewarrior!
This particular role focuses on recruitment for a cross-functional team responsible for gameplay and monetization development. The team includes game designers, client and backend developers, QA engineers, UI/UX specialists, product analysts, and project managers.
WHAT WILL YOU DO?
- Recruiting exceptional people to join Scorewarrior’s growing team (focus on hiring client and backend developers, game designers, QA engineers, UI/UX specialists, product analysts).
- Collaborating with hiring managers and stakeholders to create the ideal candidate profile.
- Organizing all processes of interaction with candidates till offer acceptance.
- Organizing a collection of references on candidates.
- Developing and refining an interview process that enhances our assessment quality while optimizing the candidate experience.
- Screening CVs and interviewing qualified candidates.
- Maintain ATS, Notion, and other candidate tracking systems with precision.
- Implementing modern sourcing/recruiting methods.
- Collecting and analyzing data on the work and presenting reports to stakeholders.
- Preparation and negotiation of offers with candidates.
- Training hiring managers on best hiring practices.
- Research and use compensation data to align offers with market expectations.
WHAT ARE WE LOOKING FOR?
- 4+ years of proven work experience as an IT Recruiter. Gamedev experience would be a plus.
- Successful experience in searching candidates and their contacts on specialized resources: LinkedIn / GitHub / Stackoverflow / FB / Habr, and other professional sources, and social networks.
- Knowledge and experience of using X-ray and Boolean search.
- Ability to provide and receive constructive feedback.
- Ability to work effectively with a large amount of information in a limited time frame.
- High attention to details.
- English - B1 or higher, Russian - B2 or higher.
- Strong communication skills (written and oral).
- Result orientation, proactivity, flexibility, and the ability to adapt to changes.
- Interest in games.
- Strong organisational, multi-tasking, and time-management skills.
- Located in or willing to relocate to Limassol, Cyprus.
WHAT WE OFFER
- The best team in the world!
- An excellent remuneration package, including a 13th salary.
- Full relocation coverage for you and your family to Cyprus (Limassol).
- A modern, sunny office close to the sea.
- Private health insurance for you and your family members.
- A monthly pre-school, school, and university allowance for employees' children.
- Lunch compensation.
- A sports and fitness allowance.
- Company-funded personal development opportunities (professional and language courses, books, etc.).
- Bonuses for outstanding results, years of service, marriage, and childbirth.
- Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.
Location: Novi Sad, South Bačka, Serbia, EMEA
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
The mission of the Engineering Program Management Office (PMO) is to implement program and project management methodologies that enable Fivetran to deliver complex products and initiatives on time and within expectations. In addition, the Engineering PMO serves as the subject-matter expert on project and program management standards, directing a department-wide approach to project delivery and communication. You will help plan, track, and execute the company's most critical and cross-cutting product and engineering objectives. You will be responsible for leading cross-functional teams, managing complex programs and projects, and ensuring the timely delivery of high-quality solutions that meet the needs of our customers. You will communicate and work in close collaboration with partners across the engineering team as well as other business partners to achieve this vision.
This is a full-time position based out of our
Novi Sad, Serbia office
.
Technologies You'll Use
G Suite, AI LLM and Agents (Claude Code, Gemini, ChatGPT, and similar), Jira, Looker, Graphana, Lucid Charts, Workday, Sigma, Figma.
What You’ll Do
Program/Project Management
Manage key engineering projects, and/or programs, or initiatives from initiation to closing.
Provide regular status updates on a variety of internal channels to all levels of the organization.
Define program charters, plans, and schedules. Drive Program execution.
Drive Product representatives in providing timely direction and requirements.
Lead internal cross-functional teams in engineering and validation activities.
Ensure tight inter-team coordination and communication.
Digest, understand, and communicate complex, technical/engineering issues.
Identify and resolve conflicts or issues quickly, efficiently, and effectively.
Surface and mitigate risks or defects, and lead technical task forces to ensure proper risk responses or issue resolution.
Manage interdependencies across multiple engineering disciplines and stakeholders, including platform, SRE, & QA.
Develop creative solutions, remove obstacles, and redefine approaches to balance cost, quality, and delivery priorities.
Work closely with product management, data analytics, enablement & support.
Define and own specific program metrics and objectives.
Track and report on PMO KPIs.
Process Improvement
Act as a role model for project management processes.
Surface feedback and enhancement to processes.
Align stakeholders and team members towards project management best practices.
Skills We’re Looking For
2+ years of experience in a technical position (software engineer, QE, platform engineer, etc.)
6+ years of experience in technical project/program management
Software project management experience is a strong plus
Agile and waterfall project/program management experience
Familiarity with project management tools like Jira, Trello
Can lead large and complex initiatives with minimal oversight.
Can introduce structure and order in volatile conditions.
Can clarify vague goals and requirements.
AI LLMs and AI Agents usage proficiency.
In-depth knowledge of the technologies and methodologies used in program management.
Ability to work directly with senior leadership on programs, including leading R&D-wide (engineering, product, design, security) initiatives from start to finish.
You can facilitate discussions with engineering subject-matter experts on topics such as System Design, Data Architecture, Infrastructure Management (including cost management), and Quality in the context of engineering operations.
Ability to leverage AI to increase your own productivity and leverage it in the solutions you’re building.
Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels.
A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills.
Proficient in addressing technical issues and providing effective mitigation plans.
Can align team members to program goals and objectives.
Conveys a clear understanding of how own activities relate to critical business drivers.
Discourages “us vs them” thinking in self and others.
Stays calm and professional even when situations become difficult.
Bonus Skills
Start-up experience a strong plus
PMP certification is a plus
Familiarity with the following technologies is a plus: Cloud service providers (AWS, GCP, Azure), ETL or ELT, modern data stack.
#LI-NR1
#LI-HYBRID
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: Espoo
Workplace: Hybrid
Role highlights:
- Senior Satellite Industrialization Engineer
- Location: Espoo, Finland
- Department: Industrialization Systems / Global Manufacturing Organization (GMO)
- Employment type: Permanent
- Workplace model: Office / Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior Satellite Industrialization Engineer, you'll do the hands-on technical work that moves satellite designs toward industrial maturity (MRL 8-9). You'll contribute to the DFM/DFX design standard, act as a technical reviewer at design-review gates, and help define the production line, automation, and facility requirements behind them. Your depth in RF, optical, or broader satellite systems keeps that work grounded in what a real satellite design actually requires.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Contribute to the DFM/DFX standard: help develop and maintain design rules, tolerancing guidance, and material/process selection criteria.
- Support the design-review gates your team is involved in: help define gate criteria and participate as a technical reviewer.
- Support the definition of industrialization requirements beyond the design standard: production line design requirements, automation requirements, and facility requirements for satellite and subsystem manufacturing.
- Work with Engineering, AIT, and Production teams to gather the input needed to define these requirements against real design and production constraints.
- Support coordination with ICEYE's Global Manufacturing Infrastructure team on the detail needed to implement line, automation, and facility requirements at each site.
- Build and maintain manufacturability and industrialization tooling: checklists, scorecards, and templates that design and production teams actually use.
- Help track the target metrics that satellite and subsystem designs are measured against as they move through MRL stages.
- Support the interface with the Manufacturing Engineering function, helping capture field and design friction and translate it into standard updates.
What we’re looking for
Must haves:
- Hands-on design or systems engineering background in satellite hardware, with depth in RF, optical, or broader satellite subsystems.
- Solid understanding of how design decisions affect manufacturability, tolerancing, integration, and test outcomes.
- Comfortable doing the technical work of building and maintaining standards, gate criteria, and tooling, under the direction of the function's lead.
- Experience working alongside Engineering, AIT, or Production teams to gather technical input.
- Strong communication skills, able to translate technical design detail into clear standard and tooling content.
Nice to haves:
- Prior exposure to DFM/DFX practices, design-review gates, or producibility standards in aerospace or comparable hardware environments.
- Experience contributing to production line, automation, or facility requirements for hardware manufacturing.
- Familiarity with cleanroom environments and EGSE/MGSE.
- Experience in a multi-site or scale-up manufacturing environment.
Application Process
- Talent Acquisition Interview
- Hiring Manager Interview
- Technical Interview + Task
- Final interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
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: Munich, Germany
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
Native or C1 German speaker with fluent English proficiency
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
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Kuala Lumpur, Malaysia
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
What You'll Be Doing
Manage the day-to-day operations of the customer service team, continuously improving service quality, customer experience, and team efficiency.
Monitor and analyze key customer service metrics, identify issues and root causes through data, and develop and drive improvement plans.
Independently conduct data analysis, prepare business reports, and perform regular reviews to support team decision-making.
Proactively leverage AI to improve work efficiency, including data analysis, report generation, information processing, and building simple tasks or workflows.
Continuously optimize customer service processes, SOPs, knowledge bases, and productivity tools.
Collaborate with Product, Operations, Technology, and other teams to solve business problems and ensure high-quality, on-time project delivery.
岗位职责:
负责客服团队日常运营管理,持续提升服务质量、用户体验及团队效率
关注并分析客服核心数据,通过数据发现问题、定位原因,并制定和推动改善方案
独立完成客服相关数据分析、业务报告及阶段性复盘,为团队决策提供支持
主动运用 AI 提升工作效率,包括数据分析、报告生成、信息处理及简单任务/工作流搭建
持续优化客服流程、SOP、知识库及相关效率工具
协同产品、运营、技术等团队解决业务问题,推动项目高质量、按时交付
What We Look For In You
Strong Judgment & Problem-Solving:
Demonstrate strong comprehension and judgment, with the ability to quickly identify the core of a problem. Able to make sound assumptions based on experience, determine a reasonable path forward, and make high-quality decisions even when facing unfamiliar situations or incomplete information.
Hungry & Strong Drive:
Demonstrate strong curiosity and a solution-oriented mindset, with a habit of digging into the “Why” behind problems. Proactively seek better solutions, mobilize resources across teams, drive issues through to resolution, and take ownership of results.
Bilingual proficiency in Mandarin and English as working languages:
Able to communicate effectively in both written and spoken Mandarin and English, participate in bilingual meetings and work presentations, and regularly engage with Mandarin-speaking clients and stakeholders to ensure clear and effective communication.
Data Analysis:
Proficient in Excel and other
data tools
, with the ability to independently perform data analysis, prepare reports, identify issues, and generate actionable business insights.
Practical AI Skills:
Have proven experience using AI to improve work efficiency. Able to effectively use AI for data analysis, reporting, information summarization, and building simple AI-powered tasks or workflows.
Relevant experience in customer service, customer experience, or customer service operations, with solid team management experience.
Strong ownership, self-motivation, and a growth mindset, with a willingness to continuously learn, innovate, and improve.
任职要求:
认知判断力强:
具备敏锐的理解和认知能力,能够快速抓住问题本质;面对未知或信息不完整的情况,能够结合经验进行预判,找到合理路径并做出高质量判断
进取心 & 推动力强:
有强烈的求知求解欲,习惯深入理解事情背后的 Why;面对困难能够主动寻找更优解,积极协调团队内外资源,持续推动问题解决并对结果负责
中英双语可作为工作语言:
能够进行中英文书面及口头沟通,参与中英文会议及工作汇报;工作中需频繁对接中文客户及利益相关方,确保沟通准确、高效
具备数据分析能力:
熟练使用 Excel 等数据工具,能够独立完成数据统计、分析及报告,并从数据中发现问题、形成业务洞察
具备实际 AI 应用能力:
有真实的 AI 提效案例,能够熟练使用 AI 辅助数据分析、数据报告、信息总结等工作,并能搭建简单的 AI 任务或工作流
具备客服、客户体验或客服运营相关工作经验,有一定团队管理经验
具备较强的责任感、自驱力和成长意愿,愿意持续学习、创新和自我迭代
Benefits & Perks:
Competitive remuneration package (Base Salary + Yearly Bonuses)
Meal allowance
Unlimited transport allowance (T&C apply)
Monthly team building
Fitness & wellness benefits per annum
Convenient workplace (5 minutes walk from MRT TRX)
Insurance coverage for employees & dependants
Excellent prospects for growth and promotion: We provide you with assistance, opportunities for skill development, mentoring, and training programmes to help you succeed
Employee engagement, recognition and appreciation program
Multinational working environment: Advance your career by interacting with individuals from various backgrounds, cultures, and nations
#LI-Onsite #LI-JC3
Notice:
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OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Fund Operations to stand up and run the operating machinery of the Xsolla Credit Fund. You have taken a private fund from formation through first close before, and you know the full stack: structure and LPA work with counsel, service-provider selection, LP onboarding, capital calls, valuation policy, reporting, and audit readiness.
This is a builder's mandate. You will design the fund's operating playbook, run it, and document it so the fund operates to institutional standards from day one — and mentor the junior operations hires who join as the fund scales.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Fund Formation and Structuring
Drive fund formation
with external fund counsel: vehicle and jurisdiction selection, LPA and side letters, GP and management company setup, and the regulatory perimeter.
Own the LPA from the operator's seat:
terms, economics, and governance mechanics — and translate them into operational reality once signed.
Service Provider Stack
Select and manage the provider stack:
fund administrator, auditor, tax advisors, banking/custody, and compliance vendors — and manage them to institutional standards.
Own provider economics:
negotiate scopes and fees; keep the fund's operating cost model lean and LP-defensible.
Fund Operations
Run the core machinery:
capital calls and distributions, LP onboarding and KYC/AML, expense management, and cash movement controls.
Own valuation and NAV:
valuation policy, NAV oversight with the administrator, and credit-fund specifics such as borrowing-base mechanics and leverage facility administration.
LP Reporting and Diligence Readiness
Build the reporting stack:
quarterly reporting (ILPA-aligned), capital account statements, and LP communications infrastructure.
Keep the fund diligence-ready:
DDQ responses, operational due-diligence readiness, and the operations sections of the data room — before LPs ask.
Compliance and Governance
Establish the policy framework:
valuation, allocation, conflicts, and ESG/AML policies; regulatory filings with counsel; audit coordination.
Design for scrutiny:
so every process has a documented owner, control, and audit trail that stands up to institutional operational due diligence.
Operating Playbook and Team Building
Codify the fund's operating playbook:
documented processes, controls, and owners for every core workflow — built for operational due diligence from day one.
Scale the function:
as the fund scales, build out and mentor the junior operations team (controller, fund accountants) and integrate with Xsolla's finance and legal teams.
Qualifications and Skills
Experience
7+ years in fund operations, fund CFO, or fund controllership roles at private credit or other private capital funds.
You have taken at least one private fund from formation through first close — this is the core requirement. You know what breaks, in what order, and how to prevent it.
Deep working knowledge of LPA terms, fund administration, capital call mechanics, and ILPA reporting standards.
Credit-fund specifics — leverage facilities, borrowing bases, loan administration, asset-level reporting — are a strong plus.
Skills and Competencies
Hands-on operator: comfortable being the entire operations function on day one, with providers as your leverage.
Rigorous documentation and controls discipline; you build processes that pass operational due diligence, not just processes that work.
Strong commercial judgment on provider selection, fee negotiation, and build-vs-outsource decisions.
Clear communicator who can explain fund mechanics to non-fund people — including investors, borrowers, and Xsolla leadership.
Education and Credentials
A bachelor's degree in finance, accounting, economics, or a related field; CPA, a CFA charter, or an MBA is preferred.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards.
This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Underwriting Framework and Credit Policy
Design the fund's underwriting framework from scratch:
credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
Build the data edge into the process:
integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring
Lead the underwriting
of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
Structure facilities:
term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
Draft
and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance
Stand up and run the credit committee process:
present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
Establish portfolio monitoring:
watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support
Be the credit face of the fund:
appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
Support capital formation:
help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building
Codify the credit playbook:
standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
Build the bench:
as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience
7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure.
Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies
Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
Enjoys mentoring junior team members and building a strong credit culture as the team grows.
Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Investor Relations for the Xsolla Credit Fund, whose primary mandate is LP capital raising. While Xsolla's Capital Markets team covers investor relations across all of the company's strategic vehicles, this role is dedicated to the credit fund. Over time the role will also support fundraising for other Xsolla investment products, but the credit fund remains the primary focus.This is a relationship-led role. We are looking for someone who brings an established network of LP relationships — family offices, credit and alternatives allocators, funds of funds, and institutions — and who can open doors, engage principals, and personally steward investors from first conversation through diligence to commitment.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios and gaming businesses, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
LP Relationships and Origination
Bring and grow the network:
activate your existing LP relationships and originate new ones across family offices, credit and alternatives allocators, funds of funds, and institutions.
Engage principals:
represent the fund credibly with decision-makers and investment committees, and match opportunities to each investor's mandate and ticket size.
Source and qualify the wider funnel:
from conferences, investor databases, introductions, Xsolla contacts, and external research — qualified and prioritized by mandate fit.
Steward each relationship
through diligence, negotiation, and commitment — and after the close, as the foundation of the fund's long-term LP base.
Follow-Through and Pipeline Discipline
Drive follow-through
from first contact to meeting, diligence, soft interest, and closed commitment — no lead goes stale.
Prepare and send investor outreach and follow-ups;
capture meeting notes, next steps, and commitment tracking after every interaction.
Maintain clean CRM reporting:
pipeline status, activity, outcomes, blockers, priorities, and weekly progress — so leadership always knows conversion rates, stage aging, and next actions per LP.
Provide regular internal fund progress reporting
to Xsolla leadership via Slack and other internal tools. A junior IR hire will take on pipeline operations as the raise scales.
Fundraising Materials and Messaging
Support and continuously improve investor materials:
pitch deck, FAQs, data room, and meeting-specific talking points.
Refine LP messaging, fund thesis, objection handling, and investor segmentation
based on live market feedback.
Write concise, institutional-quality
investor emails, follow-ups, and presentation language.
Diligence and Fund Setup Support
Coordinate LP diligence requests
across internal Xsolla teams, external advisors, legal, finance, and leadership.
Support fund setup workstreams:
data room preparation and upkeep, reporting readiness, and document management.
Collect and synthesize investor feedback
on fund terms, structure, risk-return profile, reporting, and allocation preferences to inform fund design.
Cross-Product Fundraising Support
As capacity allows,
extend the same funnel discipline and materials support to other Xsolla investment products and strategic vehicles, in coordination with the Capital Markets team.
Qualifications and Skills
Experience
7+ years in investor relations, placement, private funds, investment banking, private credit, venture capital, private equity, family office, or institutional fundraising.
An established, referenceable network of LP relationships — family offices, credit and alternatives allocators, funds of funds, or institutions — that you can activate for a first-time fund. This is the core requirement for the role.
A track record of raising institutional capital, with a strong understanding of LP fundraising mechanics: fund materials, diligence processes, investor segmentation, and the private fund lifecycle.
Direct exposure to private credit or first-time fund raises is a strong plus.
Skills and Competencies
Excellent business English; able to write concise investor emails, follow-ups, FAQs, and presentation language without supervision.
Strong Excel / Google Sheets, CRM, tracking, reporting, and project management discipline.
Commercial, structured, responsive, and able to manage many parallel investor conversations without dropping threads.
The gravitas and credibility to engage principals, investment committees, and senior allocators as a peer.
Sound judgment and discretion when handling sensitive fund and investor information.
Interest in gaming, fintech, private credit, alternative investments, or digital platforms preferred.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field is preferred.
CFA / CAIA or relevant securities licenses are viewed favorably but not required.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Investor Relations – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day.
You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon.
You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond.
Responsibilities
Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization
Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems
Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency
Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil
Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source
Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal
Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh
You may be a good fit if you
Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions
Have 5+ years leading engineers, including at least 3 years as a people manager
Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better
Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation
Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety
Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause
Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to
Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right
Strong candidates may also
Have led corporate networking at a company that added offices faster than it added network engineers
Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale
Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use
Have designed dense wireless for large event spaces and high-occupancy floors
Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close
Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house
Technical Skills
We're looking for deep, hands-on experience in each of these — not surface familiarity:
Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet)
Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues)
Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation)
Out-of-band management and secure, auditable administrative access
Network automation and configuration as code (Python, templating, vendor APIs, source control, CI)
Network observability (streaming telemetry, flow and log pipelines)
Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity)
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert medicinal chemist with hands-on experience designing, synthesizing, purifying, and characterizing small molecules. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules and AI-proposed synthetic routes against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules and AI-proposed synthetic routes, drive them to experimental readout, and feed results back to research teams
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated medicinal chemistry experience, including SAR-driven design and optimization of small molecules, with recent, sustained hands-on synthetic work
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
5+ years of medicinal chemistry experience beyond the PhD
Track record of advancing programs from hit identification through lead optimization
Experience directing synthetic chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in the life sciences
Publications and/or patents demonstrating scientific impact
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:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote USA
Workplace: remote
ABOUT YOU
We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live.
The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.
Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.
If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
First 6 months — priorities in order
- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.
Phase 1: Build (through first close)
Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.
- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.
Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.
- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.
- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.
Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.
- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.
Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.
- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.
Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.
- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.
- Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author.
Phase 2: Operate (post-close)
- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.
- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.
Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.
Qualifications and Skills
Required
- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).
- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.
- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.
- Workflow orchestration experience (n8n, Airflow, or comparable).
- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.
- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.
- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.
- Strong written and spoken English; comfortable presenting to senior external audiences.
Preferred
- Direct exposure to private credit, lending, or fund operations.
- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).
- Experience with embeddings / semantic search and multi-model AI setups.
- Web development ability (React / TypeScript or similar) for internal tools and dashboards.
- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: South Africa
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
INFUSE
is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces.
We are seeking a creative and strategic
Instructional Designer
to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies.
INFUSE Academy
drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results.
We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive.
As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment.
Our L&D philosophy
We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators.
We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful.
We're looking for someone who:
Has a background in
instructional design
and
AI implementation
Understands the capabilities and limitations of
LLMs (like GPT-4)
Can prototype and configure
custom GPTs and similar AI tools
for learning solutions
Is
detail-oriented, innovative, and comfortable
in a fast-paced, iterative environment
Loves solving problems
creatively
and making learning experiences
smarter
and more
engaging
Key responsibilities
Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals
Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals
Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities)
Ensure instructional consistency, accessibility, and relevance of content across delivery modes
Leverage generative AI tools, including designing and deploying custom GPTs, to support learning
Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives
What we offer
A dynamic and supportive team environment focused on innovation in learning.
Meaningful involvement in training initiatives with global impact.
Career growth potential within a fast-paced, purpose-driven team.
Access to cutting-edge e-learning tools and approaches.
Access to high-quality professional development resources and marketing insights.
If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!
We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.
Bengaluru, Karnataka, India, APAC
Munich, Germany
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