Location: Montreal, Canada
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission
stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional
traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and
security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays,
digitizers/ onboard processing, Feeder links, master reference oscillator & clock
synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload
specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board
processing algorithms, PVT.
• Identify emerging technologies and incorporate them into the company’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using
MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral
efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range,
spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal &
mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency
and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software,
Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations
hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test,
environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency
handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital
regenerative payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX
protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Montreal, Canada; The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
Location: Montreal, Canada
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, environmental and security requirements from mission
stakeholders & CONOPs.
• Map requirements to payload equipment performance with I/F with on-board processor
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas,
Feeder links & front‑end), master reference oscillator & clock synchronizations.
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN).
Simulation & Analysis
• Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral
efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting.
• Define and maintain Payload DC power budget with traffic & utilization models
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Hardware & Firmware
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints.
• Support SW development for MODCODs and on‑board processing pipelines; ensure BIST,
timing, latency and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative
payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols,
Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Montreal, Canada
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, pointing, environmental and security requirements from
mission stakeholders & CONOPs.
• Capture, trace and map payload requirements from mission level to subsystem level
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital
beamforming, processing chain and digital electronics, power, thermal, and mass).
• Lead the conceptual, preliminary, and detailed design phases, producing trade studies,
performance budgets).
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints
Simulation & Analysis
• Perform performance simulations for tolerance budgeting and image quality.
• Support algorithm and analytical development to process SAR.
• Define and maintain Payload DC power budget with utilization models.
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience
supporting SAR remote sensing system development, integration and test on LEO/MEO
missions.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Singapore
Workplace: Remote
We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.
Responsibilities:
- Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
- Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
- Provide architectural, technical, and migration assistance, including hands-on tasks.
- Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
- Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
- Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
- Assist with hiring and mentoring new team members as we grow and scale.
- Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.
Requirements:
- 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
- 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
- Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)
Bonus points:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
You'll love this role if:
- You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
- You are self-driven, curious, and eager to continuously learn and grow.
- You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
- You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£370,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 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: Montreal; Canada
Workplace: remote
ABOUT YOU
We are looking for a Full-Stack Engineer who is curious, detail-oriented, and collaborative to join our Engineering team. The best candidate will be someone who enjoys working in a fast-paced, team-oriented environment and is eager to contribute to end-to-end solutions, learn scalable architecture patterns, and help improve performance and reliability across both frontend and backend systems.
Proficiency in React and modern frontend development practices, along with backend experience in Go (or a similar language) is essential, along with exposure to microservices architecture and containerized environments using Docker and Kubernetes. The ability to contribute to features from concept to production, assist in troubleshooting system issues, and participate in performance optimization efforts will be key to your success in this role.
If you're passionate about building full-stack experiences that power impactful products and are excited to grow your skills within gaming, payment, and digital commerce ecosystems, 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
Contribute to the development and maintenance of full-stack applications that power core products and platforms.
Build responsive, performant user interfaces using React.
Develop and maintain backend services using Go and event-driven architectures.
Work with microservices in containerized environments using Docker and Kubernetes.
Participate in architecture discussions and contribute ideas that improve performance and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end.
Monitor and debug your code in production, contributing to application reliability and performance improvements.
Write automated tests and follow CI/CD best practices to ensure quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Join on-call rotation to support production systems and assist in incident response.
Qualifications & Skills
2–4 years of full-stack development experience.
Proficiency in React and modern frontend development practices.
Backend experience in Go or a similar language.
Understanding of microservices architecture and event-based communication patterns.
Exposure to container orchestration and cloud infrastructure (e.g., Kubernetes, Docker).
Basic understanding of observability, monitoring, and performance optimization.
Ability to assist in troubleshooting production issues and analyzing system behavior.
Nice to Have
Experience with React Native for mobile development.
Interest or background in gaming, payments, or commerce systems.
Exposure to adtech or offer monetization platforms.
Familiarity with Kafka or equivalent streaming platforms.
Familiarity with Redis or other in-memory data stores.
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Exposure to ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Any experience working on internal platforms or developer-facing tools.
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 medical, dental, and vision, PTO, 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 Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
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
Location: Paris, Remote
Workplace: remote
The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement.
By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology.
You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base.
Within 1 month, you will:
Master our Platform's core user experience and the Collaborative Learning methodology
Become a platform expert (from a user & admin perspective) and get certified on our methodology.
Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine.
Connect with colleagues worldwide through virtual coffee chats and team-building activities.
Within 3 months, you will:
Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement.
Identify and execute your updates on the Engagement Academy to align with the latest product releases.
Define your quarterly priorities in relation to the Support & Services roadmap with your coach.
Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement.
Within 6 months, you will:
Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content).
Participate in Discovery Meetings with Product Managers to share insights on how clients actually
use
and
adopt
the platform.
Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog.
Build new processes and update Confluence with the information needed for the team's daily work.
Within 12 months, you will:
Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories.
Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training).
Develop advanced toolkits and training paths based on the most successful client use cases.
The Skills Set:
3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care.
You are recognized for your listening and teaching skills
You express your ideas in a clear and concise manner, both in writing and orally
You are proactive and prefer working in a strong results-oriented culture
A past experience in the learning industry is a plus
You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English.
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity_360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our LEC Coach
Case Study Meeting with our LEC Coach and a member of the team
Clarification Meeting with our Head of professional Services EMEA
Culture Fit Meeting with our VP Global Professional Services
Offer !
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: United Kingdom
About The Role
At thinkcell, we are continuously improving how professionals create business presentations by introducing smarter automation and assistance features into our product. In this role, you will help turn new ideas and early AI-driven concepts into reliable features used by more than 1.3 million users worldwide.
You will build production-ready systems that connect modern backend services with intuitive user interfaces. In this role, you will work closely with both C++ engineers developing the core product and AI engineers exploring new automation capabilities, helping bring new functionality from concept into everyday product usage.
This role is ideal for engineers who enjoy building clean, scalable systems, care deeply about code quality, and are motivated by shipping impactful features in a highly collaborative engineering environment.
What you will do
Build and maintain production-ready backend and full-stack features using TypeScript
Integrate AI-powered functionality into the thinkcell product, such as text editing assistance and automated slide creation
Work closely with
C++ engineers and AI engineers
to translate ideas and prototypes into robust product features
Contribute to a strong engineering culture with rigorous code reviews and high standards for code quality
You will be great for this position if you have
A degree in computer science, mathematics, physics, or a similar technical field
Relevant experience as a backend or full-stack engineer
Strong experience with TypeScript and Node.js in production environments
Curiosity about AI technologies and interest in integrating them into real-world products
Experience with Python or C++ is a plus
What We Offer
Brilliant Team: Work with international colleagues with strong academic and professional experience
Work–life balance: Flexible working hours and an environment that respects your time and focus.
Stable Environment: Join a market leader with a reliable product.
Direct Exposure to C-level
Competitive salary & Relocation Support to Berlin
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence.
thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
Location: New York, New York, United States
About the Role
iCapital is looking to hire a Strategic Finance professional to join the Corporate Finance team. This role will involve large scale responsibilities across financial and managerial reporting, budgeting, forecasting, analysis of key financial and performance indicators, monthly and quarterly management reporting duties, including support during the financial close, financial modelling, and partnership with key business and department Leads to enhance decision making. This individual will report into the iCapital Solutions Business Controller, Senior Vice President.
Responsibilities
Support the budgeting and forecasting of the company’s key financial performance indicators, with emphasis on revenue, expenses, sales activity, and select GAAP and Non-GAAP metrics, liaising with FP&A team members, sales and business leads, while providing analysis of budget vs. actuals and real-time forecasting of revenue and expenses.
Assist in the preparation of the company’s annual budget process across key financial performance indicators, with emphasis on revenue, expenses, sales-based inputs and activity, and client level detail.
Develop key financial and performance metrics with detailed analytics for the Management Committee and business leads.
Liaise with FP&A team members to develop business specific key performance metrics, client analytics, budgets, and forecasts.
Identify and assess key opportunities to enhance the current reporting structure and develop new approaches to evaluate business performance.
Partner with FP&A team members and sales to develop monthly analyses and insights into variances between budget vs. actual results.
Perform sales analytics to support the business development and growth of the company’s iCapital Solutions department.
Support the preparation of monthly management and quarterly board reporting packages, including consolidation of financial statements, budget vs. actual results and revised forecasts, variance analysis and compilation of the company KPI reports.
Identify and remediate process gaps and implement effective internal controls; improve documentation of internal control processes.
Assist in completing ad hoc projects as needed such as implementation of new software, platform reporting automation, and financial planning and analysis tools.
Qualifications
9+ years of FP&A, strategic finance, corporate finance, or accounting experience within the financial services industry and/or FP&A or strategic finance experience with a top-tier firm
Familiar with private market investments such as private equity, hedge funds, and/or structured investments are preferred
Experience in planning and ERP tools (i.e., WorkDay Adaptive, Tableau, Essbase, etc.) and familiar with Oracle NetSuite and/or General Ledger systems (i.e., PeopleSoft, Axiom) is preferred
Able to work with business/sales and department leads on business performance including budgeting, forecasting and advanced analytics
Advanced degree and/or credentials desired, such as MBA, CPA, CFA
Advanced skills in Excel and PowerPoint
Strong organizational planning, quantitative modeling, and problem-solving skills; strategic and creative thinking
Able to manage large sets of data and be able to implement checks and balances
Excellent verbal and written communication skills
Detailed oriented with big picture capability
Benefits
The base salary range for this role is $145,000 to $175,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Almaty, Kazakhstan
Workplace: OnSite
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
Why this role exists
Higgsfield is one of the fastest-growing generative AI companies in the world. The specialty studios get most of the attention, but the general-purpose creation surface, the library, the shared foundation every user touches, is what makes or breaks daily use. We need a PM with real taste to own it.
What you'll actually do
• Own the core product experience end-to-end: image, video, collaboration, asset management, and the overall UX that ties them together.
• Own the surrounding product: library, projects, sharing, cross-product navigation, the things that make Higgsfield feel like one product instead of a bag of tools.
• Set the taste bar. Every flow, every empty state, every default. You're the person the team looks to when something feels off.
• Ship weekly. Our release cycle is days, not quarters.
• Design the metrics that matter: activation, generation success rate, session depth, weekly retention, feature adoption, cross-product usage.
• Glue the org together on the core experience. Work directly with Design, Backend, Frontend, and the vertical studio teams so the surface stays coherent as new products land on top of it.
Must-haves
1. Deep passion and curiosity for generative image, video, and LLMs. You use these tools daily. You have opinions about which models are good at what, and why.
2. Taste. You can look at a flow and tell what's wrong before the metric moves. Design and Engineering both trust your judgment.
3. Experience launching new products and scaling existing ones. You've taken things from zero to one and from one to ten. Founding or early-operator experience is a strong plus.
4. Strong technical background with a real grasp of AI/ML concepts. You can reason about model tradeoffs, latency, quality, and cost without needing an engineer to translate.
5. You ask smart questions, dig for answers yourself, and update your view when the evidence moves. No ego on the line when you're wrong.
Who this is not for
• You prefer working from complete specifications rather than defining problems yourself.
• You don't use generative AI tools daily. This role is impossible without lived product intuition.
• You are looking for a slower release cycle. We ship weekly.
Nice to have
• Background at a consumer product, creative tool, or AI-native company in the US, EU, or Asia.
• Direct experience shipping image or video generation, editing, or creative software.
What We Offer
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A seat where the surface you own is what millions of users touch every day.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
We’re looking for a
Senior Product Manager
to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day.
What will I be doing?
Be the Product Manager for the Messenger, Fin’s most important channel
Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team.
Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement.
Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations.
Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact.
Evaluate impact through quantitative and qualitative measures, both in beta and after full release.
Own and maintain the quality of your product area, ensuring every release delivers world-class software.
Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver.
Be a leader in your team or projects by role-modelling our company values and R&D principles.
What skills do I need?
There is no minimum years of experience for this role. We’re interested in your impact, drive, and potential. Instead of years, we’ll be looking for evidence that you’ve applied and grown these skills:
Sharp Customer Focus & Problem Framing
- able to independently understand, define and articulate complex customer problems and opportunities using data analysis and qualitative inputs.
Compelling Roadmaps
- define the roadmap of features, products or areas of focus for your given area, communicating what, when and why to generate excitement with customers and the teamExcellent Product Judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product.
Build World-Class Product
- able to deeply collaborate with engineering and designers to quickly ship effective solutions. But, also able to independently accelerate the process leveraging AI.
AI Tech
- Able to understand AI systems and LLMs, assess feasibility and trade-offs, and make informed product decisions in close collaboration with engineering.
Technical fluency -
Comfortable engaging with engineers and customers on the modern tech stack — from APIs and SaaS infrastructure to low-code tooling and system architecture.
Outcome Oriented
- define, fight for and share progress against the customer and business impact of your product area or project.
Leadership
- Excellent communicator. High ownership. Ability to influence and drive alignment.
#LiHyrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Vienna, Austria; Wien, Austria; Aachen, Germany; Augsburg, Germany; Baden-Baden, Germany; Bad Homburg, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bielefeld, Germany; Bernau, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Wuppertal, Germany; Wiesbaden, Germany; Warendorf, Germany; Viechtach, Germany; Varel, Germany; Ulm, Germany; Stuttgart, Germany; Schwerin, Germany; Rostock, Germany; Rimbach, Germany; Quedlinburg, Germany; Potsdam, Germany; Paderborn, Germany; Osnabrück, Germany; Nuremberg, Germany; Neuss, Germany; Neuruppin, Germany; Münster, Germany; Neu-Ulm, Germany; Munich, Germany; Mittenwalde, Germany; Mainz, Germany; Magdeburg, Germany; Lingen, Germany; Leipzig, Germany; Leverkusen, Germany; Koln, Germany; Kiel, Germany; Karlsruhe, Germany; Heinsberg, Germany; Hannover, Germany; Hamburg, Germany; Halle, Germany; Greifswald, Germany; Göttingen, Germany; Görlizt, Germany; Geoergsmarienhütte, Germany; Freiburg, Germany; Frankfurt, Germany; Essen, Germany; Düsseldorf, Germany; Dusseldorf, Germany; Sofia, Bulgaria; Zagreb, Croatia; Pilsen, Czechia; Praha, Czechia; Copenhagen, Denmark; Tallinn, Estonia; Bordeaux, France; Toulouse, France; Paris, France; Nantes, France; Montpellier, France; Lyon, France; Lille, France; Grenoble, France; Helsinki, Finland; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Bolzano, Italy; Rome, Italy; Riga, Latvia; Vilnius, Lithuania; Gżira, Malta; Città Vittoriosa, Malta; Għaxaq, Malta; Msida, Malta; Naxxar, Malta; Petten, Netherlands; Alkmaar, Netherlands; Amersfoort, Netherlands; Amsterdam, Netherlands; Schipol, Netherlands; Utrecht, Netherlands; Krakow, Poland; Warsaw, Poland; Poznan, Poland; Porto, Portugal; Lisbon, Portugal; Bucuresti, Romania
Workplace: remote
At
TechBiz Global
, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a
The Senior Regional Sales Manager
to join one of our
clients
' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
The Senior Regional Sales Manager
is responsible for growing sales through direct engagement with key customers in the network infrastructure, industrial IoT, and edge AI markets. This role includes managing customers and opportunities across the DACH region, France, and Italy, with a focus on network infrastructure, out-of-band (OOB) solutions, embedded compute, and IIoT.The role involves building strong customer relationships, identifying new business opportunities, and working closely with internal teams to deliver the right solutions.
Must have contacts within the European UAV and defense customers and be familiar with embedded compute solutions
Proven success in managing key accounts and driving sales growth.
Strong commercial and technical acumen with the ability to navigate complex sales environments.
Excellent communication, negotiation, and presentation skills in
English.
Proficiency with CRM tools and standard business productivity software.
Strong understanding of OEM business models and value proposition design
Preferred qualifications and skills include, but are not limited to:
5+ years of experience of direct sales and key account management
Knowledge of IoT and Edge AI technologies and how they impact enterprise and industrial ecosystems.
Experience developing regional go-to-market strategies
Education & Experience
Must have
Bachelor's degree in
Business Administration, Engineering, or a related field.
Must have at least 3 years of
direct sales and key account management.
Must have
experience in network infrastructure, industrial IoT, or OEM-focused business models.
Must have
a valid driver’s license and be willing to travel frequently
.
Required qualifications and skills include, but are not limited to:
Direct Sales and Key Account Management
- Drive revenue growth through direct engagement with strategic end-customers and OEM key accounts in the network infrastructure, industrial internet-of-things, and edge AI markets.
- Develop and execute comprehensive account plans for strategic accounts, focusing on long-term partnerships, opportunity development, and revenue achievement.
- Identify and close high-value opportunities, navigating complex sales cycles and engaging with multiple stakeholders, including technical decision-makers and procurement teams.
- Proactively identify and pursue new business opportunities within existing accounts and through targeted new customer acquisition.
Customer Relationship Management
- Build and maintain relationships with key customer stakeholders, including executives, technical teams, and procurement departments.
- Serve as the trusted advisor for customers by providing market insights, solution recommendations, and strategic guidance to support their business objectives.
- Organize and lead regular business and technical reviews with customers, ensuring alignment with their evolving needs and driving account growth.
Strategic Market Development
- Develop and execute regional sales strategies aligned with company strategy and goals, focusing on the unique requirements of the network infrastructure, industrial IOT and edgeAI markets.
- Monitor market trends, customer requirements, and emerging technologies to identify new growth opportunities.
- Collaborate closely with internal product and marketing teams to position innovative solutions that address customer challenges and with industry trends.
Internal Collaboration and Reporting
- Align closely with Field Application Engineers, Product Managers, and Technical Support to ensure customers receive comprehensive solutions and support.
- Deliver detailed and accurate sales forecasts, account plans, and progress reports to regional and executive leadership.
- Share insights from the field to inform product development, marketing strategies, and business planning.
Deliverables
- Achieve or exceed assigned revenue and growth targets within the defined region and customer base.
- Develop and maintain strategic account plans for key customers, including clear objectives, milestones, and revenue goals.
- Grow and manage opportunity pipeline to 3x target revenue.
- Develop and maintain a regional go to market strategy for network infrastructure and physical security markets.
Location: Ukraine; Spain; Poland; Portugal; Romania
About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
Now we are looking for a
Senior ML Operations Engineer
to join us as part of our team.
About the role
As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.
About the project
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.
Team composition
1 Engineering Manager, 4 Senior ML Ops Engineers
Work Environment
The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.
As a qualified expert, You will
Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
Provide mentorship, technical guidance, and perform code reviews for team members.
Design and deliver on projects end-to-end with little to no guidance.
Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
Support the vision and values of the company through role modeling and encouraging desired behaviors.
Participate in various cross-functional company initiatives and projects as requested.
Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.
We’re looking for you if you have
Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
4+ years of experience designing and building distributed software systems and architectures.
3+ years of hands-on experience deploying and operating Machine Learning services in production.
Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
Demonstrated experience with SQL and NoSQL database design and implementation.
Ability to decompose complex problems into iterative, well-defined solutions.
Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
Ability to be a team player who can also work independently.
Experience working across multiple development teams is a plus.
Bonus points
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
Proficiency in GitOps practices and CI/CD pipeline development and management.
Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
API development with FastAPI or similar frameworks.
Java programming experience is a plus.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Interview with the recruiter
Live Coding (up to 30 min)
Tech Interview: ML Fundamentals, Software Engineering (up to 60 min)
ML System Design Interview (up to 45 min)
Interview with Engineering Manager (60 min)
Location: Poland; Lithuania; Slovakia; Romania; Hungary; Ukraine
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a highly skilled
AI Automation Engineer
to design, build, and optimize automated workflows using AI tools and integrations. This role is ideal for someone with a strong technical background who is passionate about leveraging AI (e.g., LLMs, APIs, and no-code/low-code tools) to eliminate manual processes and improve operational efficiency.
You will work closely with cross-functional teams including sales, marketing, and customer success to implement intelligent automation systems that scale.
Key Responsibilities
Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs
Build and deploy solutions leveraging LLMs (e.g., OpenAI, Claude) for business process automation
Integrate CRMs (HubSpot, Salesforce), support tools, and internal systems for seamless data flow
Develop scripts and backend logic (Python, JavaScript) for advanced automation use cases
Optimize lead generation, outreach, and customer support workflows using AI tools
Monitor, troubleshoot, and improve automation performance and reliability
Collaborate with stakeholders to identify automation opportunities across departments
Stay updated with the latest AI and automation trends, tools, and best practices
Requirements
2+ years of experience in automation, software engineering, or AI-related roles
Strong experience with automation platforms (Zapier, Make, n8n, etc.)
Proficiency in Python and/or JavaScript
Hands-on experience with APIs, webhooks, and system integrations
Familiarity with LLMs (e.g., OpenAI API) and prompt engineering
Experience working with CRMs like HubSpot or Salesforce
Strong problem-solving skills and ability to design scalable systems
Excellent communication skills for working in a remote, global team
Experience in SaaS, sales automation, or growth systems is a strong plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Global Remote
Workplace: remote
Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.
We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.
Our engineering team of ~70 people is fully distributed across the globe, and we work hard to build an async-friendly, shipping-focused engineering culture.
About the Role
We're seeking CI Engineers to join our engineering team and help keep our testing and release infrastructure healthy, fast, and reliable. This is a critical role — our CI and testing systems are complex, deeply relied upon, and continuously evolving.
You won't be writing product features, and you won't be expected to author new test coverage. Instead, your job is to own the health and reliability of our CI systems end to end. That means supporting the engineers who are writing tests, but it also means taking initiative — spotting problems before they become outages, identifying patterns in flakiness before they erode confidence in the test suite, and proactively improving the release process rather than waiting for things to break. We want someone who feels a genuine sense of ownership over these systems and acts accordingly.
This is a great role for a self-directed engineer who takes pride in the reliability of the infrastructure others depend on, and who can both identify problems as well as solve them.
What You'll Do
Own and proactively improve our GitHub Actions-based CI pipelines
— not just fixing what breaks, but anticipating bottlenecks and reliability issues before they impact the team
Triage and resolve flaky tests
across a large, multi-layered test suite spanning unit, integration, and end-to-end tests — identifying systemic patterns, not just one-off fixes
Support ongoing releases
and take ownership of improving the release process over time
Act as a first responder to emergent CI infrastructure issues,
diagnosing and resolving them quickly and independently
Support product engineers
who are writing tests using Cypress, Jest, and our home-grown Clojure-based test frameworks
Manage test infrastructure
across a wide matrix of databases — we test against nearly all major transactional and analytical cloud databases including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and more
Document and communicate
clearly and asynchronously across a globally distributed team — and keep the broader engineering team informed about the state of CI health without being asked, as well as communicating and demonstrating best practices.
What We're Looking For
Demonstrated experience working with CI/CD systems in a professional engineering environment — you don't need to be a 10-year veteran, but you need to have done this work, done it well, and owned it
A proactive, ownership-driven mindset — you notice things that are heading in the wrong direction and fix them without waiting to be asked
The independence to manage your own priorities and operate effectively without close supervision across a globally distributed team
Solid understanding of GitHub Actions or comparable CI platforms
Experience with JavaScript testing tools, particularly Cypress and/or Jest
Comfort with containerization (Docker) — our database test matrix depends on it
Solid shell scripting skills (Bash)
Experience diagnosing and fixing flaky tests in large test suites
Strong async written communication skills — this is a remote-first, globally distributed team
Curiosity and a systematic approach to debugging unfamiliar systems
Nice to Have
Familiarity with Clojure and TypeScript
Experience testing against or operating cloud data warehouses or analytical databases
Experience building and supporting software release pipelines
Why This Role
You'll have real ownership over systems that directly affect the productivity of a 70-person engineering team
You'll work on infrastructure that supports widely used open source software
Fully remote, any timezone — we're serious about async-first culture
You'll have the autonomy to identify and drive improvements rather than just work a ticket queue
Compensation
The US base salary range for this role is $116K–$213K annually, plus equity and benefits.
Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors.
Benefits
We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.
We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.
For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Location: Georgia
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
WHAT YOU WILL DO
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
- Take ownership of assigned tasks and deliver high-quality, maintainable code.
- Manage backend tasks while contributing to frontend development.
- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
EXPERIENCE AND SKILLS YOU NEED TO JOIN US
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies, including best practices and architecture.
- Openness to client collaboration, fostering clear communication and effective partnership.
- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept, tools usage and MCP Servers.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.
- Understanding of prompt design principles and an ability to create effective prompts.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
IT WOULD BE GREAT IF YOU ALSO HAVE
- Basic knowledge of machine learning principles.
- Understanding Python source code.
- Experience with React.
- Experience with model fine-tuning and distillation.
- Familiarity with LLM evaluation.
- Experience with Model Context Protocol (MCP).
- Experience with graph databases.
- Familiarity with other programming languages and frameworks.
- Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Canada; Serbia
Workplace: remote
ABOUT YOU
We are looking for a Senior Software Engineer (Full-Stack) who is architecturally strong, quality-driven, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead full-stack architecture decisions, build scalable distributed systems, and drive shared platform strategies across backend, frontend, and cloud ecosystems.
Strong expertise in Go and React (JavaScript/TypeScript), along with deep knowledge of cloud-native architecture patterns and event-driven system design, is essential, along with experience in building and delivering commercial applications from concept to launch. The ability to design scalable service architectures, implement robust testing strategies (including integration and E2E), optimize performance across the full stack, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role.
If you're passionate about building high-quality, resilient systems that scale and love designing seamless platform experiences powered by event-driven workflows, cloud infrastructure, and modern web interfaces that drive gaming, virtual currency, and digital commerce experiences, 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.
Qualifications & Skills:
5+ years of professional software engineering experience, with a strong focus on full-stack development using Go and React (JavaScript/TypeScript)
Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design
Hands-on experience designing and building RESTful APIs and/or gRPC services in Go, with a focus on performance, reliability, and maintainability
Strong proficiency in React, including modern patterns such as hooks, context, and state management libraries (Redux, Zustand, or similar)
Proven experience with cloud platforms (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Pulumi, or similar)
Solid experience with message brokers and event streaming platforms such as Kafka, RabbitMQ, NATS, or similar technologies
Strong knowledge of relational and non-relational databases (PostgreSQL, MySQL, Redis, MongoDB, or DynamoDB)
Experience implementing CI/CD pipelines and automated testing strategies, including unit, integration, and end-to-end testing
Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, or similar)
Strong understanding of distributed systems concepts such as eventual consistency, idempotency, fault tolerance, and retry strategies
Experience mentoring junior and mid-level engineers and contributing to architectural decision-making processes
Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams including product, design, and DevOps
A proactive, ownership-driven mindset with a passion for writing clean, well-documented, and testable code
Nice to Have:
Experience with serverless architectures (AWS Lambda, Cloud Functions)
Familiarity with GraphQL
Exposure to WebSocket or real-time communication protocols
Experience in gaming, virtual currency, digital commerce, or fintech domains
Contributions to open-source projects
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 medical, dental, and vision, PTO, 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 Tech Lead, we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
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
Montreal, Canada; The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
Montreal, Canada; The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
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УдалённоFully remote, any timezone — we're serious about async-first culture; E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire
seniorGeorgia
УдалённоleadCanada; Serbia
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