Location: Cameroon
Pre-Sales Consultant will be responsible for advising our Business Development & Sales teams on large, complex deals addressing technical and product questions and helping the customer understand how to implement ProgressSoft’s systems most effectively. He will be responsible for being a product specialist with deep understanding of all product integrations and enterprise features.
Responsibilities
Work closely with sales/business development team to explore sales opportunities for company’s product suite.
Liaise and discuss with customers/prospects to qualify the opportunity /lead and create a solution construct.
Assist BD/ Sales team in the qualification of customer needs & performing pre demo needs analysis.
Drive techno functional discussion in client interaction/pre-sales and appropriately capture customer requirement with maximum clarity.
SPOC for complete pre-sales cycle from requirement scoping, product fitment, solutioning, and technical proposal creation by working closely with members of the sales, delivery, product & support team.
Draft solution scope document which meets customer expectation and translate these accurately to the delivery team / product team for estimation and successful delivery mechanism.
Generate product demo scripts & scenarios and orchestration of product demo/workshop.
Manage, coordinate and execute complete bidding process of RFI and RFPs.
Develop statement of work and other contractual documents as required.
Complete any other tasks that may reasonably be required from time to time.
Requirements
Fluency in French and English is a must.
Self-Initiation and know-how-to-know skills.
High level of performance.
Outstanding leadership qualities and team building skills.
Excellent communication capabilities.
Creative problem-solving skills.
Detail oriented and highly organized.
Excellent follow-up skills.
Bold travel schedule (up to 30%).
Strong written and verbal communication skills to represent the company in a favorable manner.
Highly motivated and able to influence and motivate others.
Ability to work under pressure.
Prepare SWOT analysis on solution offering and should be able to position company’s products against the competition in various geographies.
Good knowledge of global real-time, rails, retail payments and payments landscape.
Fair understanding of Real-time Payments globally including I PSD2, Open Banking, Payment Hub, SWIFT, SEPA.
Good knowledge of the African Payment landscape is a plus, particularly Francophone Africa.
Hands on experience to preparing power point presentations, document and analysis report.
Ability to initiate conversations and make a lasting impact.
Should be regularly updated with the market knowledge on the payment domain and progress at various relevant geographies.
Location: Frankfurt am Main, Germany
Company:
They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more.
Position Summary:
The After-Sales Manager is responsible for leading and managing the After-Sales Service function to ensure efficient and effective service delivery to customers, including addressing inquiries, executing upgrading projects, and maintaining customer relationships. The role involves strategic planning, operational control, and ensuring alignment with the company's business objectives. Additionally, the position oversees contract execution, cost control, and maintaining high standards of customer satisfaction.
Key Responsibilities / Duties:
1. Customer Support & Relationship Management:
• Attend to customer inquiries for plant modifications, process improvements, and spare parts with urgency.
• Conduct regular visits to existing customers to maintain relationships and gather feedback on plant performance and market trends.
• Develop counter-strategies based on customer feedback and market developments to enhance service offerings.
• Maintain and manage customer accounts, ensuring accurate and up-to-date records of all interactions, transactions, and service requests.
2. Contract & Project Management:
• Monitor and coordinate upgrading contracts, ensuring proper execution, cost control, and compliance with contractual obligations.
• Lead and guide project teams in the preparation and implementation of upgrading contracts, ensuring timely delivery and budget adherence.
• Supervise and support the commissioning and start-up of equipment to meet customers’ final acceptance standards.
• Conduct quality checks on procured equipment and ensure specifications are met before delivery.
3. Cost & Quality Control:
• Provide support during equipment costing to maintain budget compliance and cost efficiency.
• Ensure quotations are competitive and align with budget estimates.
• Maintain high standards of quality control through regular inspections and evaluations of equipment and services.
4. Technical Support & Problem Solving:
• Provide technical guidance and support to customers during start-up and after-sales activities.
• Troubleshoot and resolve issues encountered during the installation, commissioning, and operation of equipment.
• Analyze and resolve operational problems encountered during plant visits and provide competent advice for troubleshooting.
5. Collaboration & Communication:
• Collaborate with cross-functional teams, including Sales, Procurement, Logistics, and Engineering, to ensure cohesive project execution.
• Maintain effective communication with customers to understand their needs and provide timely solutions.
• Coordinate with the Sales team to clarify technical data for spare parts and provide accurate quotations.
Requirements
Job Specifications
Qualification
• Bachelor's degree in chemical / Process Engineering
Experience
• 3- 5 years' experience in engineering / maintenance for chemical industry
• Experience in Edible Oil or Oleochemical industry is an advantage
• Willing to travel on short notice
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.
Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.
Responsibilities:
Implement and optimize post-training techniques at scale on frontier models
Conduct research to develop and optimize post-training recipes that directly improve production model quality
Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
Develop tools to measure and improve model performance across various dimensions
Collaborate with research teams to translate emerging techniques into production-ready implementations
Debug complex issues in training pipelines and model behavior
Help establish best practices for reliable, reproducible model post-training
You may be a good fit if you:
Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
Adapt quickly to changing priorities
Maintain clarity when debugging complex, time-sensitive issues
Have strong software engineering skills with experience building complex ML systems
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Can balance research exploration with engineering rigor and operational reliability
Are adept at analyzing and debugging model training processes
Enjoy collaborating across research and engineering disciplines
Can navigate ambiguity and make progress in fast-moving research environments
Strong candidates may also:
Have experience with LLMs
Have a keen interest in AI safety and responsible deployment
We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.
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:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | 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 teams
Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
Representative projects:
Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.
Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
You may be a good fit if you:
Are proficient in Python and async/concurrent programming with frameworks like Trio
Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
Have industry experience in machine learning research
Can balance research exploration with engineering implementation
Enjoy pair programming (we love to pair!)
Care about code quality, testing, and performance
Have strong systems design and communication skills
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may have:
Familiarity with LLM architectures and training methodologies
Experience with reinforcement learning techniques and environments
Experience with virtualization and sandboxed code execution environments
Experience with Kubernetes
Experience with distributed systems or high-performance computing
Experience with Rust and/or C++
Strong candidates need not have:
Formal certifications or education credentials
Academic research experience or publication history
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: 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:
You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our
Responsible Scaling Policy
), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
Our blog
provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas:
AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Alignment Stress-testing
:
Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London
and
travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python.
Representative Projects:
Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.
Run multi-agent reinforcement learning experiments to test out techniques like
AI Debate
.
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.
Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.
Contribute ideas, figures, and writing to research papers, blog posts, and talks.
Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our
Responsible Scaling Policy
.
You may be a good fit if you:
Have significant software, ML, or research engineering experience
Have some experience contributing to empirical AI research projects
Have some familiarity with technical AI safety research
Prefer fast-moving collaborative projects to extensive solo efforts
Pick up slack, even if it goes outside your job description
Care about the impacts of AI
Strong candidates may also:
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs
Have experience with reinforcement learning
Have experience with Kubernetes clusters and complex shared codebases
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials
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:
£260,000
—
£370,000 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: Belgrade; London; Berlin
Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack.
Responsibilities
- Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
- Develop streaming and batch data processing systems for search index construction in a high-load environment
- Push the limits of hardware performance through low-level optimizations and systems-level tuning
- Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
- 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
- Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
- Knowledge of Python or other scripting languages
- Passion for writing clean, efficient, and scalable systems-level code
- Strong knowledge of algorithms and data structures, and the ability to apply them effectively
- Deep understanding of multithreading, including various approaches, challenges, and trade-offs
- Experience building high-load, distributed, and hardware-adjacent services
- Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
- Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Preferred Qualifications
- Experience developing core components of search engines, databases, or information retrieval systems
- Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
- Experience with trading systems or other latency-sensitive real-time systems
- Familiarity with cloud services, Kubernetes, and AWS infrastructure
Location: Dubai, United Arab Emirates
About Müller's Solutions:
Müller's Solutions is an industry-leading SAP consulting firm dedicated to delivering innovative solutions that empower businesses to maximize their SAP investments. Our team of experienced professionals is committed to providing tailored services that drive efficiency and effectiveness in data management and analytics.
Job Overview:
We are seeking a skilled SAP Analytics Cloud (SAC) Consultant for a 3-month contract that could be extended based on project needs. In this role, you will be responsible for implementing and supporting SAP Analytics Cloud solutions to enhance reporting, visualization, and data analysis capabilities for our clients. You will collaborate closely with business stakeholders to gather requirements and create meaningful insights.
Requirements
Requirements:
Bachelor's degree in Computer Science, Data Science, Information Systems, or a relevant field.
A minimum of 3 years of experience working with SAP Analytics Cloud (SAC) or similar BI tools.
Hands-on experience with SAC for data modeling, storytelling, and dashboard creation.
Experience in connecting SAC with various SAP and non-SAP data sources.
Demonstrated experience in Integrated Financial Planning (Standard).
Strong understanding of best practices for visualization, reporting, and analytics.
Experience integrating SAP Analytics Cloud with SAP BW, SAP HANA, or other data sources.
Knowledge of data preparation, ETL processes, and data transformation best practices.
Excellent analytical and problem-solving skills to evaluate business requirements and provide effective solutions.
Strong communication skills to effectively interface with clients and gather requirements.
Ability to work independently and collaboratively in a fast-paced environment.
SAC certification is a plus but not mandatory.
Location: Dubai, United Arab Emirates
About Müller's Solutions:
Müller's Solutions is a premier SAP consulting firm that specializes in providing comprehensive SAP solutions to enhance business operations. We pride ourselves on our ability to deliver tailored solutions that drive efficiency and innovation for our clients across various industries.
Job Overview:
We are looking for an experienced SAP ECP (Employee Central Payroll) Consultant for a 3-month contract, with the possibility of extension. In this role, you will be key to the implementation, configuration, and support of SAP Employee Central Payroll solutions for our clients. You will engage directly with client teams to understand their requirements and help optimize their payroll processes.
Requirements
Requirements:
Bachelor's degree in Human Resources, Business Administration, Information Technology, or a related field.
Minimum of 4 years of experience working with SAP Employee Central or Employee Central Payroll modules.
Strong knowledge of payroll processes, configurations, and integration with other SAP modules.
Proficiency in SAP ECP functionality, including time and attendance, configuration, and reporting.
Excellent analytical skills with attention to detail.
Effective communication skills for interacting with clients and team members.
Ability to work under pressure and meet tight deadlines.
Experience with client-facing roles and project management is preferred.
Immediate availability to start the contract.
Location: Philippines; Cavite, Philippines; Manila, Philippines; Taguig, Philippines; Cebu, Philippines
REMOTE: Senior Software Engineer - Full Stack Developer
Job Description:
We are seeking a highly skilled Senior Software Engineer with expertise in Microsoft SQL Server and SQL Server Reporting Services (SSRS) to join our dynamic Development Team. This role is ideal for a full stack developer who thrives across the entire software development lifecycle—designing and optimizing databases (backend), building robust business logic and applications (middle tier), and crafting intuitive, user-friendly interfaces (frontend). The successful candidate will play a key role in developing custom applications and complex reports, integrating them into web or desktop platforms, and delivering tailored technical solutions to meet organizational needs.
This position offers the opportunity to work on enterprise-level systems, with a focus on educational institutions, student information systems (SIS), or learning management systems (LMS). If you’re proactive, detail-oriented, and passionate about translating business requirements into innovative software solutions, we’d love to hear from you.
Basic Functions:
■ Design, develop, and maintain custom applications and complex reports using Microsoft SQL Server, T-SQL, SSRS, and tools like .NET or similar frameworks.
■ Perform all phases of the system development lifecycle: planning, design, development, implementation, deployment, and maintenance.
■ Optimize database structures and queries for performance and scalability.
■ Create and integrate user-friendly front-end interfaces with backend systems.
■ Document solutions through clear code, flowcharts, diagrams, and technical documentation.
■ Conduct software testing, debugging, and quality assurance to ensure reliable updates and deployments.
■ Collaborate with stakeholders to understand business needs and deliver tailored technical solutions.
■ Provide training and support to clients or internal teams on application maintenance and updates.
■ Contribute to the continuous improvement of the Development Team and internal software processes.
Additional Duties and Responsibilities:
■ Enhance customer service and satisfaction through effective communication and timely delivery of solutions.
■ Escalate and resolve development challenges within agreed service levels, keeping stakeholders informed of progress and changes.
■ Maintain in-depth knowledge of our software and its alignment with customer goals, particularly in educational or enterprise contexts.
■ Track time, expenses, and project tasks using the appropriate tools (training provided).
Knowledge, Skills, and/or Abilities Required:
■ Proven expertise in Microsoft SQL Server, T-SQL, and SSRS report design.
■ Full stack development experience with proficiency in .NET or similar frameworks.
■ Strong skills in database design, optimization, and integration with web or desktop platforms.
■ Familiarity with enterprise systems such as SIS, LMS, ERP, CRM, HRMS, Library Management Systems, Admissions and Enrollment Management Systems, Facilities and Campus Management Systems, or Analytics/BI Tools (e.g., Power BI).
■ Experience working with educational institutions or similar complex organizational environments is a plus.
■ Excellent interpersonal and communication skills, with the ability to translate technical concepts for non-technical stakeholders.
■ Ability to manage multiple priorities in a fast-paced environment while maintaining attention to detail.
■ Self-motivated, proactive, and adept at problem-solving and technical diagnostics.
Educational/Vocational/Previous Experience Recommendations:
■ BA/BS in computer science, software development, or a related field (MBA/MS preferred but not required).
■ 5+ years of development experience, with a focus on SQL Server, SSRS, and full stack application development.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp's Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion.
What You'll Do
- Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes
- Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line
- Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics
- Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently
- Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match
- Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates
- Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts
- Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves
Must-Haves
- Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required.
- ERP system fluency — You're comfortable working within and around major ERP platforms (NetSuite, SAP S/4HANA, Workday, Sage Intacct, or similar). You understand how these systems structure financial data, where integrations typically break, and how workflow changes ripple through an ERP-centric finance stack. This fluency is what lets you speak credibly to Controllers and finance ops teams about how Ramp fits into their existing systems of record.
- AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment.
- Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is.
- Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group.
- 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one.
Nice-to-Haves
- Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick.
- Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base.
- Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms.
- Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture
- High-growth or startup experience (comfort operating in ambiguity and rapid change)
- C-suite relationships built and maintained independently, without relying on a sales counterpart
For candidates located in NYC or SF, the pay range for this role is $163,000 - $262,000. For candidates located in all other locations, the pay range for this role is $147,000- $236,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.
Responsibilities:
Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
Architect solutions for storing and efficiently querying large volumes of security-relevant data
Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
Work closely with security and infrastructure teams to understand requirements and deliver solutions
Mentor engineers and contribute to hiring and growth of the Security team
Participate in on-call shifts
You may be a good fit if you:
7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
Track record of building and maintaining internal developer tools or security platforms
Strong understanding of data processing pipelines and experience working with large-scale logging systems
Experience with:
Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows)
Infrastructure-as-code (Terraform, CloudFormation)
Query optimization for large datasets
Experience with building stable and scalable services on cloud infrastructure and serverless architectures
Ability to write maintainable and secure code in Python
Experience working with security teams and translating requirements into technical solutions
Ability to lead technical projects with minimal guidance
Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all organizational levels
Demonstrated success in bringing clarity and ownership to ambiguous technical problems
Strong systems thinking with ability to identify and mitigate risks in complex environments
Strong candidates may also have experience with:
Experience building security tooling from the ground up
Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
Background in detection engineering or security operations
Experience with:
SOAR platform/automation development
Data lake / Database architecture
API design and internal platform creation
Track record of applying ML/AI to security problems
Experience scaling security operations in a high-growth 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:
$320,000
—
$405,000 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: Tbilisi, Georgia; Erevan, Armenia; Almaty, Kazakhstan; Belgrade, Serbia; Bucuresti, Romania; Budapest, Hungary; Kyiv, Ukraine; Astana, Kazakhstan; Baku, Azerbaijan; Bishkek, Kyrgyzstan; Bratislava, Slovakia; Chișinău, Moldova, Republic of; Mirpur, Bangladesh; Dnipro, Ukraine; Istanbul, Türkiye; Kharkiv, Ukraine; Krakow, Poland; Ljubljana, Slovenia; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Pilsen, Czechia; Podgorica, Montenegro; Poland; Porto, Portugal; Poznan, Poland; Praha, Czechia; Sambir, Ukraine; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia; Sofia, Bulgaria; Tashkent, Uzbekistan; Toshkent, Uzbekistan; istanbul, Türkiye; uttara, Bangladesh; Warsaw, Poland; Zagreb, Croatia
Workplace: remote
TechBiz Global is a leading IT recruitment company. We provide IT recruitment, outstaffing, outsourcing, software development, and different consulting services, focused on successfully achieving our partners’ recruitment goals. At TechBiz, we celebrate diversity and are promoting an inclusive environment.
Our international clients and partners are located around the world. We work with a diverse set of technologies and frameworks.
Open position
We're looking for a skilled Freelance Web and WordPress Developer who can collaborate with us part time
on-demand
for long-term. The ideal candidate will have at least 3 years of experience in web development and a strong command of web technologies, particularly HTML, CSS, JavaScript, and WordPress. Proficiency in Hubspot CMS Hub is a significant advantage.
How would you make impact:
Develop and maintain responsive websites using WordPress, ensuring a seamless user experience.
Collaborate with our team to design and implement web solutions that align with our brand and business goals.
Apply best practices for SEO optimization to improve website visibility and performance.
Work on projects as needed and deliver high-quality results within agreed-upon deadlines.
Ensure websites are compatible with various browsers and devices for a consistent user experience.
Troubleshoot and resolve website issues and bugs.
Stay up-to-date with the latest web development trends and technologies.
Communicate effectively in English, as you will work with several team members.
Minimum of 3 years of experience in web development, with a strong portfolio showcasing your WordPress expertise.
Proficiency in HTML, CSS, JavaScript, and WordPress.
Knowledge of Hubspot CMS Hub is a significant advantage.
Experience with SEO optimization for websites is a plus.
Strong problem-solving skills and attention to detail.
Ability to work independently and collaboratively with a remote team.
Excellent communication skills in English, both written and spoken.
Self-motivated, reliable, and dedicated to delivering high-quality work.
Please include a link to your portfolio in your CV or send it as a follow-up after applying.
Our Offer
An attractive working environment with room for your own ideas, flat hierarchies, and short communication channels.
A team that warmly welcomes you and stands by your side.
Opportunity to work from anywhere on a remote basis!
Location: Athens; Limassol
Workplace: hybrid
The Role:
The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
The main responsibilities of the position include:
Design, develop, and maintain scalable data pipelines for data transformation and preparation.
Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
Ensure data quality and consistency across various sources.
Deploy machine learning models and AI tools to production environments.
Collaborate with data scientists to improve data models and support business intelligence tools.
Build and maintain data warehousing solutions.
Enforce data governance and security policies.
Work with cross-functional teams to understand data requirements and provide technical solutions.
Mentor junior data engineers and provide technical guidance.
Main requirements:
MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
Experience with AWS, Google Cloud, or Azure cloud services
Extensive experience with relational and non-relational databases.
Proven experience with machine learning.
Demonstrated experience in big data processing and analytics.
Strong analytical thinking and problem-solving abilities.
Effective communication skills to convey data-driven insights.
Fluency in English Language
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Remote, APAC
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams.
You will:
- Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions.
- Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members.
- Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues).
- Identify where internal tooling might be developed or obtained to improve support efficiency.
- Reproduce issues, create test cases and improve test coverage, if you have experience with testing.
You are:
- Experienced in customer support, with 3+ years of experience providing developer support to technical customers.
- Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus.
- Excellent communication skills and fluency in English.
- Skilled in using Linux/Unix operating systems and the command line.
- Experienced working with GitHub Issues and Discussions.
- Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js.
- Having a degree in Computer Science is a plus too.
TIMEZONES & LOGISTICS
- It’s a full-time position with a required location in APAC time zones (we don’t believe in sustainability of overnight shifts).
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Bryanston, South Africa
Workplace: on-site
TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.
With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.
We are looking for a
Senior Marketing Manager
for our client and t
he Senior Marketing Manager will lead the development and execution of comprehensive Direct to Consumer (D2C) and B2B marketing strategies that drive brand awareness, customer engagement, and revenue growth. This role involves orchestrating cross-functional marketing initiatives, ensuring consistency across all channels, and optimizing the customer journey. The ideal candidate will possess a blend of strategic thinking, creativity, and analytical skills to drive impactful marketing campaigns.
Responsibilities:
Develop and execute D2C and B2B marketing strategies focused on lead generation, customer acquisition, and revenue growth.
Plan and manage a campaign calendar, ensuring the timely development, execution, and optimization of marketing campaigns across digital (PPC, SEO, email, social, programmatic) and traditional media (radio, TV, print, OOH).
Lead a team of performance marketing managers across B2B, B2C, loyalty programs, and app marketing, ensuring data-driven execution and continuous optimization.
Develop and execute go-to-market strategies for new product, service, and app launches, coordinating cross-functional teams for successful rollout.
Oversee loyalty and rewards programs to drive customer retention and lifetime value.
Manage and optimize app marketing strategies, including user acquisition, engagement, retention, and ASO (App Store Optimization).
Work closely with agencies and strategic partners, including media buyers, creative teams, and distribution partners, to execute high-impact campaigns.
Optimize media buying strategies, ensuring cost-effective budget allocation across high-performing digital and offline channels.
Collaborate with in-house teams (copywriters, designers, UX specialists) to create high-converting marketing assets for ads, landing pages, CRM campaigns, and in-app experiences.
Drive data-driven decision-making, leveraging analytics, A/B testing, and audience segmentation to improve engagement and conversion rates.
Enhance website and app performance, improving UX, conversion funnels, and customer journey efficiency.
Implement and scale growth strategies, including retargeting, CRM automation, push notifications, and mobile app marketing.
Align marketing efforts with sales, product, and customer service teams to ensure integrated demand generation and lead nurturing.
Manage and optimize marketing budgets, tracking performance to maximize cost efficiency and business impact.
Qualifications and Experience:
Bachelor’s degree in Marketing, Business, or related field; MBA preferred.
7+ years in performance marketing, lead generation, and demand generation for D2C and B2B.
Expertise in digital and traditional media marketing, including paid search, social, SEO, email, programmatic, TV, radio, print, and OOH.
Experience leading marketing teams, including performance marketers, media buyers, designers, copywriters, UX specialists, and app marketers.
Proven success in loyalty and rewards program development and execution.
Strong agency and partner management experience, collaborating with media and distribution partners.
Experience in campaign calendar planning and execution, ensuring seamless rollout of ongoing campaigns and new product/service/app launches.
Expertise in app marketing strategies, including user acquisition, retention, ASO, and in-app engagement.
Proficiency in Google Ads, Meta Ads, LinkedIn Ads, App Store Ads, CRM platforms (HubSpot, Salesforce, Marketo), and analytics tools (GA4, Tableau, BI tools, Firebase).
Strong data analytics skills, with experience in A/B testing, attribution modeling, and budget optimization.
Hands-on experience in web and app UX/UI optimization for conversion improvements.
Strategic, adaptable, and results-driven, with a track record of maximizing ROI and business growth
Location: Mongolia
Workplace: remote
The Role:
We are looking for a passionate and energetic Partner Relations Manager to cultivate and maintain strong relationships with our Partners. This role involves strategising to grow and leverage partnerships that enhance the company’s product offerings and market presence.
The main responsibilities of the position include:
Develop and implement Partner retention strategies as per the Company’s overall strategy to enhance loyalty and maximise lifetime value
Act as the main contact for Partners, fostering strong relationships through personalised support
Monitor Partners’ satisfaction, gather and utilise relevant feedback to improve experiences and tailor initiatives accordingly
Analyse Partners’ behavior to uncover opportunities for upselling and customisation of products and services
Stay up to date on Company’s products and marketing promotions and communicate them effectively to Partners
Communicate ideas and suggestions for platform improvements to the Business Development teams
Stay informed about industry trends, competitive landscape and best practices in Partner retention, continuously seeking opportunities to improve the Company’s retention efforts
Undertake any other relevant task as assigned
Main requirements:
Degree in a business-related field
At least 2 years of experience in a similar position
Fluent Mongolian speaker with excellent oral and written skills in English
Ability to build and maintain excellent business relationships
Strong interpersonal and communication skills
Target-oriented and resourceful
Ability to work autonomously and under pressure
Benefit from:
Attractive remuneration package plus performance related reward
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: New York, New York / Remote
Workplace: remote
About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
About the Position
The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert intern, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to designing, fine-tuning, and integrating LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures.
Responsibilities
Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools.
Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.
Requirements
Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity.
Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models.
Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
Basic familiarity with blockchain technology and smart contract development is a plus.
Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment.
Strong written and verbal communication skills in English.
Bonus Points
Prior research or project experience in developing AI agents or automated security analysis tools.
Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments.
Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum).
Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity.
Demonstrated ability to translate research insights into effective, production-ready tools.
Target monthly salary for this role performed is $6,000 - $8,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
CertiK accepts applications for this position on an ongoing basis.
CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
All CertiK employees are expected to actively support diversity on their teams, and in the Company.
Location: Beijing, China
Workplace: onsite
ABOUT YOU
We are seeking an experienced and dynamic Creator Success Manager (China) to lead and expand our influencer marketing strategy in the region. This role is responsible for identifying, building, and maintaining relationships with key influencers, content creators, and brand ambassadors across multiple content platforms. The ideal candidate will have a strong understanding of the China digital landscape, social media trends, and influencer partnerships, as well as a proven track record of executing successful influencer campaigns.
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
Establish and manage a network of top-tier content creators and social media influencers.
Develop and manage relationships with creators and influencers to ensure long-term partnerships.
Negotiate and manage contracts, fees, and expectations with creators and influencers.
Collaborate with marketing, product, and PR teams to develop and execute campaigns that drive engagement and brand awareness.
Liaise with internal Business Development, Legal, Design, Product, and Account Management teams on creator and influencer partnership strategies and opportunities.
Keep up-to-date with the latest trends on social media and in the influencer community to provide ongoing recommendations for future campaigns.
Work with brand marketing on consumer-facing influencer collateral and develop action plans to address the needs of our influencer networks.
Define performance goals, create rosters, track conversions, and measure influencer performance success.
Responsible for ongoing communication with existing influencer partners while actively identifying, sourcing, and negotiating new influencer partnerships and content opportunities.
Monitor and adjust partnership strategies in accordance with best practices and relevant trends.
Develop and execute the
influencer marketing strategy
in China to drive brand awareness, engagement, conversions, and creator user acquisition
Track, analyze, and report
key performance metrics (KPIs)
for influencer campaigns, providing insights and recommendations for optimization.
Stay up to date on influencer marketing trends, competitor activities, and regional nuances in content consumption and engagement.
Manage the influencer marketing budget for China, ensuring efficient allocation of resources.
Qualifications & Skills
5+ years of experience
in an influencer marketing role with extensive experience working directly with influencers and streamers.
Passion for gaming
and experience identifying partnerships and best practices for gaming influencers at a global level across streaming and content platforms.
Direct experience with gaming publishers, products, and expertise in mobile and video game established and rising influencers.
Strong knowledge of gamers and influencers across
Twitch, YouTube, Facebook, Instagram, Twitter, and TikTok
.
Strong interpersonal skills with the ability to build relationships and work effectively with a diverse range of people.
Excellent communication, writing, presentation, and organizational skills.
Ability to manage multiple projects simultaneously and prioritize demands.
Data-driven with experience setting clear goals and KPIs.
Experience working with and/or managing influencer marketing agencies from the RFP process through execution and wrap report.
Fluent in
Chinese and English
Ability to work in a fast-paced environment, manage multiple projects, and meet tight deadlines.
Bachelor's Degree.
Preferred Qualifications:
Previous experience in
e-commerce, gaming, or technology
sectors.
Understanding of
paid influencer collaborations
and how to integrate them into organic strategies.
Experience with affiliate marketing, influencer gifting programs, and community-driven content
Why Join Us?
● Opportunity to work with a fast-growing global brand.
● Competitive salary and performance-based incentives.
● Flexible work environment (remote, hybrid, or in-office options).
● Collaborative and innovative team culture.
● Career growth opportunities in a dynamic and expanding market.
If you’re passionate about influencer marketing and gaming, and want to make an impact in the China region, we’d love to hear from you! Apply now and be part of our journey.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Frankfurt am Main, Germany
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