Location: Germany
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: Spain
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across e
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: Israel
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: United States
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations.
You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share
Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting
Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work
Capable of independently leading complex investigations.
Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path
Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise
Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up
Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels
Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly
Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements
Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape
Minimum qualifications
Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors
Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators
Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it
Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities
Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale
Have built processes, detection systems, or programs from scratch and can show what changed because of them
Communicate crisply with executives, engineers, and external partners alike
Preferred qualifications
Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale
Background in financial crime investigation or fraud analytics
Experience working directly with U.S. government stakeholders on threat reporting
A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks
Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context
Active Top Secret security clearance
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:
$375,000
—
$455,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - San Francisco, New York City, London
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team. This is a builder role, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office.
What you’ll do
Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks
Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD)
Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders
Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls
Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (SOC 2), Payment Card Industry Data Security Standard (PCI DSS), and ISO audits
What you need
5+ years in security, infrastructure, or platform engineering, writing production code in a compiled language (Go or Rust preferred) and a scripting language (Python or Bash)
Deployed and operated agents, sensors, or telemetry collectors at fleet scale, such as osquery or eBPF-based tooling
Operated AWS infrastructure, including networking, identity and access management (IAM), logging, and container workloads, with infrastructure as code in Terraform
Built and run a data or logging pipeline, including SIEM operations and SQL for investigation
Bonus if you
Worked with managed SOC providers or security orchestration, automation, and response (SOAR) platforms
Built or contributed to open source security or observability tooling
Know serverless platforms and API security
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000-$312,000. This salary range is an estimate. Actual salary will be based on job-related skills, experience, and location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Baku
Workplace: onsite
ABOUT YOU
Xsolla seeks a security engineer to join a new security team during a critical build-out phase. You work across application security and infrastructure security - reviewing code, hardening cloud environments, supporting incident response, and partnering with engineering teams to improve security posture across the company.
This is a generalist role well-suited to an early-team hire. You are comfortable working across domains rather than specializing in one, and you grow into deeper expertise as the team and program mature. You collaborate closely with the security program manager and work directly with engineering teams on secure design, findings, and remediation.
Our tech stack includes GCP, vSphere/ESX, Kubernetes and container workloads, MariaDB, CockroachDB, Go, PHP, and Python. You do not need expertise in all of these, but you are comfortable navigating a mixed environment and learning what you need.
As always true in job descriptions, there is an intangible value that is hard to capture. We look for a diverse set of perspectives and skills. Even if you don't match every requirement, we encourage you to apply if you think you can be highly successful in this role.
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
Perform Application Security Reviews
- Conduct code reviews, run
SAST
/
DAST
and dependency scanning tools, and work with engineering to resolve findings.
Participate in Threat Modeling
- Contribute to threat modeling sessions for new features and architecture changes, helping identify risks early in the design process.
Help Harden Cloud and Container Infrastructure
- Work on GCP, Kubernetes, and
IAM
configurations to strengthen the security of our cloud and container environments.
Participate in Pen Test Remediation
- Help triage penetration test findings and work with engineering teams to implement fixes, coordinating closely with the security program manager.
Partner with Engineering on Secure Design
- Review architectures, advise on secure implementation patterns, and help teams make informed security decisions.
Identify and Track Security Findings
- Document findings, assess severity, and track them through the remediation lifecycle to resolution.
Support Incident Response
- Help investigate and document security events, contribute to root-cause analysis, and support containment efforts.
Write Async Security Guidance
- Produce advisories, best-practice documentation, and practical guidance that helps engineering teams build securely across time zones.
Support Product Security
- Work with partners on the security posture of customer-facing services, contributing to reviews and assessments as needed.
What You Bring
Foundational AppSec Knowledge
- Understands common vulnerability classes, secure coding patterns, and how to conduct a meaningful code review.
Cloud Environment Exposure
- Has worked with GCP or a similar cloud provider and is comfortable with
IAM
, networking, and container concepts.
Code Literacy
- Reads and reviews code in one or more of: Go, Python, PHP. Does not need to be a software engineer, but can follow logic and spot issues.
Security Tooling Familiarity
- Has used or is familiar with
SAST
,
DAST
, or dependency scanning tools and understands how they fit into a development workflow.
Strong Written Communication
- Writes clear, concise async documentation - findings, advisories, guidance - that works across time zones and audiences.
Collaborative Mindset
- Partners effectively with engineering teams. Focuses on helping teams build securely rather than just identifying problems.
Self-Directed with Growth Mindset
- Eager to learn, comfortable with ambiguity, and able to make progress with minimal direction in a new and evolving team.
Nice to Have
Threat modeling experience;
Hands-on Kubernetes or container security experience;
Infrastructure security background - Linux, networking, vSphere/
ESX;
Familiarity with
NIST
CSF
,
PCI
, SOC 2, or ISO 27001 from a technical perspective;
Detection engineering or incident response experience;
Experience building security automation or internal tooling;
Relevant certifications (
OSCP
,
GWAPT
,
CKS
, or similar hands-on certs).
Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.
Location: Baku
Workplace: onsite
ABOUT YOU
We are looking for a junior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will work closely with senior specialists to identify, assess, and help remediate security vulnerabilities across our products and infrastructure.
You will be involved in day-to-day AppSec work - code reviews, vulnerability triage, threat modeling, and security testing. You are curious, detail-oriented, and eager to develop deep expertise in application security. You do not need to have all the answers, but you ask the right questions and follow through.
This is a strong learning environment. You will be exposed to real-world security challenges in a payment platform operating at scale, and supported by experienced security specialists who will help you grow.
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
Triage Security Findings
- Assess incoming bug bounty reports and scanner findings. Evaluate validity, calculate real severity, and escalate appropriately with clear written summaries.
Assist with Vulnerability Assessments
- Participate in security assessments of web applications and APIs. Help identify and document risks in new features and existing systems.
Write Clear Security Documentation
- Document findings, reproduction steps, and remediation guidance in a way that engineering teams can act on.
Support Threat Modeling
- Participate in threat modeling sessions. Learn to identify trust boundaries, data flows, and attack surfaces in system designs.
Monitor Security Tools
- Help operate
SAST
,
DAST
, and dependency scanning tooling. Track findings, reduce noise, and support remediation workflows.
Support Code Reviews
- Review code for common vulnerability classes under guidance of senior specialists. Learn to identify security issues across PHP, Python, and Go codebases.
Stay Current
- Follow developments in the security community. Bring awareness of new vulnerability classes, CVEs, and attack techniques relevant to our stack.
What You Bring
Web Security Fundamentals
- Solid understanding of common vulnerability classes:
OWASP
Top 10,
CSRF
,
XSS
,
IDOR
, SQL injection, open redirect, authentication and session management weaknesses. You understand root causes, not just names.
Web and Browser Fundamentals
- Solid understanding of how web applications work: HTTP request/response cycle, client-server model, REST APIs, how browsers handle same-origin policy, cookies and their attributes, and
CORS
. This is the foundation everything else builds on.
Security Testing Tools
- Hands-on experience with Burp Suite or similar web application security testing tools. You have used them to intercept, modify, and replay requests — not just run automated scans.
Vulnerability Documentation
- Able to reproduce a vulnerability and write it up clearly: reproduction steps, proof of concept, and impact statement. Findings that engineering teams cannot reproduce or understand do not get fixed.
Secure Development Awareness
- Familiarity with foundational secure coding concepts: input validation, output encoding, parameterized queries, and least privilege.
Code Readability
- Ability to read and follow code in at least one language relevant to web security - PHP, Python, JavaScript, or Go. You don't need to be a developer, but you need to follow logic and spot security-relevant patterns.
Analytical Thinking
- You reason through problems methodically. You can explain not just what a vulnerability is but why it exists, how it is exploited, and what fixing it actually requires.
Clear Written Communication
- You write findings and summaries that are precise, reproducible, and useful to the engineers who need to act on them.
Curiosity and Initiative
- You dig into problems rather than stopping at the surface. When something looks wrong, you investigate before concluding
Nice to Have
Participation in bug bounty programs or
CTF
competitions;
Basic scripting ability for automation - Python or Bash;
Familiarity with CI/CD pipelines and where security tooling fits;
Exposure to cloud environments - GCP, AWS, or Azure;
Relevant coursework or certifications - eWPT,
CEH
, PortSwigger Web Security Academy progress, or similar entry-level credentials.
Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents.
Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role.
If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, 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:
Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation.
Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model.
Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix.
Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed.
Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle.
During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams.
Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead.
Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift.
Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability.
Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions.
Publish health reports of critical apps periodically.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment.
Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths.
Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts.
Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs.
Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences.
Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues.
Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity.
Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required.
Nice to Have:
Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring).
Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end.
Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents.
Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets.
JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues.
ITIL Foundation certification is a plus but not required — practical experience matters more.
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 through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket 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.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews.
Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role.
If you’re passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, 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:
Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets.
Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com).
Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure.
During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence.
Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates.
Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio.
Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis.
Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management.
Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems.
Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure.
Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism.
Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows.
Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring.
Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence.
Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams.
Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required.
Nice to Have:
Experience with customer/partner-facing incident communications and status page management.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation.
JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions.
Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs.
Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences.
Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems.
ITIL certification (Foundation or higher) is a plus but not required.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket 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.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack.
You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows.
What You'll Be Doing
Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling.
Manage and optimise application security tools, processes, and alerts to maintain a strong security posture.
Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams.
Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention.
Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms.
Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis.
Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation.
Participate in incident response and management activities.
Stay current on the latest offensive security techniques, application security threats, and industry best practices.
What We Look For In You
5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms.
In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications.
Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats.
Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation.
Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work.
Strong analytical and problem-solving abilities with excellent verbal and written communication skills.
Nice-To-Haves
Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million.
Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries.
In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities.
Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers.
Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning.
Ability to work across multiple mobile platforms simultaneously.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: South Africa; Philippines
About Huzzle
At Huzzle, we connect high-performing B2B sales 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 sales 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
Industry: Telemarketing (Experience required)
Job Summary
We are looking for a professional, empathetic, and driven Telemarketing Agent to join a specialist corporate triage programme. This team helps company directors navigate complex financial challenges by providing a clear pathway to resolution. In this role, you will be the first point of contact for business leaders, acting as a critical bridge between their initial inquiry and the expert support they need. You won’t be giving advice; instead, you will be qualifying leads and ensuring every director is matched with the right outcome pathway at the right time
Key Responsibilities
Handle inbound inquiries from company directors seeking guidance on their financial position.
Perform outbound calls to warm leads generated through targeted marketing campaigns.
Conduct structured triage conversations to qualify cases and assess the director's specific needs.
Accurately document all call activity, case notes, and lead information within the CRM.
Schedule follow-up appointments and facilitate seamless hand-offs to the specialist teams.
Proactively identify re-engagement opportunities within existing data sets.
Collaborate with the programme lead to provide performance updates and process feedback.
Assist with data management and lead tracking to ensure the pipeline remains organized.
Requirements
Proven experience in telemarketing, outbound sales, or a professional customer-facing phone role.
Exceptional communication skills with the ability to build rapport and trust quickly.
The ability to follow a structured conversation framework naturally, avoiding a "scripted" feel.
Strong organizational skills and high attention to detail for precise data entry.
Proficiency with CRM systems and Microsoft Excel.
A self-motivated mindset with a focus on hitting targets and achieving quality outcomes.
Nice-to-Haves
Prior experience within financial services, debt solutions, or business support sectors.
Experience working in a performance-led or lead-generation environment.
Knowledge of corporate insolvency or business recovery terminology.
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: Remote, Australia, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
Customer support is on the very front-lines of assisting our dbt Cloud customers and we are looking for a Manager of our Customer Solutions Engineering team who will be the first line of defense for our Enterprise customers. The person will play a pivotal role in impacting dbt Cloud's usage and increase retention by helping users quickly adopt dbt Cloud within their organizations.
What You'll Do
Lead and develop a team of Customer Solutions Engineers across the APJ regions, ensuring high-quality technical support for enterprise customers.
Strategize and implement support processes to enhance support operations, facilitating smooth and efficient issue resolution.
Foster a culture of continuous learning and professional growth within your team, ensuring they are equipped to support the evolving landscape of dbt Cloud and the modern data stack.
Collaborate with cross-functional teams to enhance customer satisfaction, drive product adoption, and ensure a seamless customer experience.
Monitor and analyze team performance, providing regular feedback and coaching to improve efficiency and effectiveness.
Advocate for customers within the organization, ensuring their needs and feedback influence product development and innovation.
Lead by example, offering hands-on support and guidance to both customers and team members, driving towards excellence in every interaction.
Skills We're Looking For
Extensive experience in technical support or engineering, preferably with enterprise-level customers in a SaaS environment.
A proven track record of building and leading high-performing technical support or engineering teams.
Exceptional problem-solving skills, with a capacity to handle complex technical issues and provide effective solutions.
Excellent communication and interpersonal skills, capable of navigating diverse cultural and regional nuances within a global team.
Adeptness at project and program management, with a keen ability to organize, prioritize, and manage cross-functional projects.
Experience with analytics engineering tools and processes.
Familiarity with SQL, including the ability to read, interpret, and write queries.
A proven background in collaborating with engineering and product teams to build scalable solutions for bug triage and investigation, quantitative product feedback, and communicating “the voice of the customer”.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: United States or Canada- Remote
MEET CASA
Casa
is the secure home for your bitcoin. We’re the leading provider of Bitcoin self-custody solutions, the ultimate blend of security, privacy, and control. Our team combines deep security expertise, human-focused design, and exceptional customer service to empower our clients and build lifelong relationships.
THE ROLE
Casa is looking for a DevSecOps Engineer to help secure our customers, their data, and our company. As a member of our Security team, you will report to our Chief Security Officer and play a crucial role in overseeing our security architecture and culture. It will also be a unique opportunity to help develop an evolving security program consisting of efficient processes, training materials, and methodologies for all employees.
The successful candidate has experience developing scalable security controls and approaches in accordance with industry standards.
Compensation: $125,000-155,000 USD
WHAT YOU'LL DO:
Handle internal security requests and make sure employees have the tools and access they need without over-provisioning
Ensure that employees have access to the tools and systems they need while maintaining least privilege access principles
Onboard and offboard employees across internal systems
Oversee our MDM system and stay on top of alerts
Review and assess new technologies (tools, code frameworks, third-party providers, internal apps) through a security lens
Help shape and refine security best practices across the org
Triage and work through vulnerabilities surfaced by pen testing, static analysis, responsible disclosures, and automated alerts
Keep security documentation and training materials fresh and useful
Automate security processes and alerts wherever you can find the leverage
Participate in a shared on-call rotation for critical production security issues
Stay abreast of the latest security events and trends
Participate in regular security training and certification acquisition
Ensure our software development lifecycle remains secure as we continue to evolve its processes.
Write infrastructure-as-code to automate deployment and management using Terraform, Ansible, or similar tools
Stay current on emerging threats, security trends, and what's happening across our stack and industry
Investigate and resolve infrastructure incidents to keep things running smoothly
WHO YOU ARE:
You have security certifications or equivalent real-world experience
You think like an attacker, and a hacker mindset is genuinely how you approach problems
Deep background across multiple facets of security
5+ years implementing security in Linux-based infrastructures, AWS, and code
Comfortable with open-source tooling, cloud environments, and multiple operating systems
Experience building security solutions that actually scale
Hands-on with one or more of: penetration testing, threat modeling, code analysis, system hardening, distributed patching, vulnerability scanning
Familiar with hardening AI tooling to prevent security incidents
Strong communicator who can present findings to both technical and non-technical audiences
Bonus points for experience or genuine interest in cryptocurrency / cryptography
WHY CASA?
At Casa, our mission is to empower individuals to secure their digital sovereignty, and
we empower our employees to do their best work.
Ownership.
Private key management is the beginning of a future you can truly own, and at Casa, everyone has a role. We offer equity opportunities so our employees can benefit from what we are building together
Community.
Inclusivity is important to us.
We value each other and our contributions. Our team, known as the Casa Space Fleet, brings out the best in everyone while having plenty of fun along the way
Rest and Relaxation
. We believe in the power of personal time, so we offer as much flexible time as you need. We encourage you to take at least 3 weeks off a year
Health Benefits.
We provide medical coverage with FSA options, dental, vision, and access to mental health providers
Setup for Remote Success.
Our team is both decentralized and effective. We reimburse up to $400 for anything you need to set up your home office
Investment Avenues
. We partner with resources so you can invest a portion of your paycheck in Bitcoin, and we also have the more traditional 401(k) option
Maternity/Paternity Leave
. We provide 12 weeks for maternity / 4 weeks for paternity
*As Casa is a fully remote company hiring candidates around the world, our perks and benefit packages may adjust based on your location
Casa is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The Trading Strategies Mobile Team owns OKX's Trading Bot and Copy Trading experiences across iOS and Android. On the Trading Bot side we build the full suite of strategy bots (Spot & Futures Grid, Spot & Futures DCA, Recurring Buy, Smart Portfolio, Smart Arbitrage, Signal Bot, DCD, and AI-powered bots) that let millions of users automate their trading across spot and derivatives. On the Copy Trading side we let users discover top traders and automatically mirror their positions. It's a large, high-complexity mobile surface built on a shared Rust/UniFFI core, and we're actively moving performance-critical paths to Rust so the logic is shared across platforms. We care deeply about engineering quality. A big, fast-moving codebase demands high standards for architecture, stability, and performance, so we invest consistently in review rigor, knowledge-sharing, and technical training to keep raising the bar. We're also a growth team, working closely with Product and Design to ship new strategies, improve the automated trading experience, and most recently build AI-driven bot experiences. We're at an exciting inflection point, bringing AI into both our product and our engineering workflows. If you're energized by taming complexity at scale, driving technical excellence and business impact in equal measure, and shaping how automated crypto trading works for millions, this is the team to be on.
What You'll Be Doing
Own the technical architecture and delivery of the Android/iOS Trading Bot codebase as your primary focus, while also contributing to Copy Trading as our second core surface, raising code quality, stability, and performance across both and across the flows that create, manage, copy, and follow strategies.
Lead large-scale technical initiatives end to end, from the Kotlin/Swift-to-Rust/UniFFI migration to modularization and binary-compatibility discipline across the Trading Bot and shared-core repositories, and the work to cut crash, ANR, and startup hotspots.
Join product requirement discussions, shape well-reasoned technical solutions, and protect product performance, stability, and user experience.
Partner with product and business to drive the Trading Bot roadmap, from new strategy types to sharing, attribution, and growth features, to AI-powered bot experiences, turning technical leverage into business impact.
Stay close to industry trends, keep refining the technical architecture, and grow the team's engineering capabilities through training and knowledge-sharing.
Mentor engineers and lead by influence, lifting the whole team's technical proficiency.
Lead the team in exploring the integration of AI into business scenarios, driving product and technology innovation.
What We Look For In You
Staff/Principal level Android/iOS expertise.
8+ years building and shipping production Android/iOS apps, with deep Kotlin and a strong command of multi-module architecture, dependency and binary-compatibility constraints, and platform performance (ANR, crash, startup, memory).
A track record of leading mid to large projects end to end.
You hold a high bar for architecture and engineering quality, and you've raised that bar on a large, legacy-heavy codebase with results to show for it.
Technical strategy paired with business sense.
You can set technical direction and work with product to turn it into roadmap and revenue. You own outcomes, not just code.
A trading or fintech background.
Client-side experience at a crypto exchange, brokerage, or fintech app, with familiarity in core domains like order placement, market data, and asset management. Automated or algorithmic trading is a strong plus.
Influence and mentorship.
You make the engineers around you better through review, design guidance, and knowledge-sharing, and you build alignment across teams without leaning on authority.
Nice-To-Haves
Cross-language or Rust experience.
Rust, UniFFI/FFI, or iOS Swift/Obj-C, and comfort owning a shared cross-platform core.
Automated-trading domain depth.
Hands-on with trading bots, grid or DCA strategies, perpetuals and derivatives, copy or social trading, or market-making and arbitrage, or trading in general.
AI engineering experience.
LLM fundamentals, prompt engineering, RAG, or agent workflows, and an eye for bringing AI into both the product and the engineering workflow.
Performance and reliability tooling.
APM, tracing, and crash or ANR triage at scale.
Scaled
CI/CD
.
Experience with large monorepo or multi-module release systems, such as MMR-style merge pipelines.
Client-side team leadership.
You've mentored or led a client-side team and can drive cross-team collaboration and technical review.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Spain; United Kingdom; Serbia; Germany
Who we are
Action1 is an autonomous endpoint management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in minutes—it just works and is always free for the first 200 endpoints with no functional limits.
By pioneering autonomous OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment without requiring a VPN, Action1 eliminates routine IT labor, helps prevent ransomware and security risks, and protects the digital employee experience.
In 2025, Action1 was recognized by
Inc. 5000 as the fastest-growing private software company in America
.
The company is founder-led by
Alex Vovk and Mike Walters
, entrepreneurs who previously founded Netwrix, a multi-billion-dollar cybersecurity company.
The Role
We are looking for a Product Security Engineer to join the team responsible for securing Action1’s multi-tenant SaaS product.
In this role, you will work closely with engineering, product, and security teams to identify risks early, support vulnerability handling, improve secure development practices, and help make product security practical, clear, and actionable.
This is a hands-on role for someone who understands both software engineering and cybersecurity, enjoys working directly with developers, and wants to help build security into the product without slowing teams down unnecessarily.
What you’ll do
Support PSIRT and vulnerability handling activities
Validate, triage, track, and coordinate security reports
Provide practical remediation guidance to engineering teams
Help validate security fixes and reduce product security risks
Review code, APIs, and architecture to identify security issues early
Conduct threat modeling and security design reviews
Improve security automation in engineering workflows
Support SAST, SCA, secrets scanning, and other security controls
Maintain SBOMs, dependency visibility, and remediation follow-up
Support security assessments, vulnerability assessments, and penetration testing
Maintain vulnerability handling playbooks, product security procedures, and incident response runbooks
What we’re looking for
3+ years of experience in product security, application security, DevSecOps, or a related cybersecurity field
Strong software engineering background and ability to work effectively with engineering teams
Understanding of application, API, infrastructure, and software supply chain security risks
Experience applying cloud security concepts and practices
Understanding of IAM, network security, logging, monitoring, and secure cloud architecture patterns
Familiarity with vulnerability management, incident response, security assessments, and secure SDLC practices
Experience with threat modeling and security design reviews
Strong communication skills, including professional communication with external researchers and vendors
Ability to work independently and as part of a team in a fast-moving environment
Nice to have
Genuine interest in cybersecurity and motivation to grow as a product security expert
Hands-on experience with AWS security controls, best practices, and architecture patterns
Hands-on experience with C++ or JavaScript
Experience with security testing and automation using scripting, APIs, CI/CD pipelines, or specialized tools
Experience with threat modeling for SaaS, API, cloud, or on-prem product components
Experience with SBOM generation, dependency visibility, or software supply chain security
What we offer
Fully remote work environment
Opportunity to work on a real security product used by IT and security teams
High ownership and direct impact on product security practices
Close collaboration with engineering, product, and security teams
Fast-growing software company with low bureaucracy and practical decision-making
Opportunity to improve security processes, automation, and engineering workflows
Supportive team that values clear thinking, ownership, and continuous learning
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
THE MISSION
The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.
As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators.
WHAT YOU'LL OWN
MCP SERVER PLATFORM
- Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack
- Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch
- Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable
- Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server
AGENT ORCHESTRATION & AI-NATIVE PRODUCTS
- Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more
- Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable
- Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations
- Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction
GTM PLATFORM ENGINEERING
- Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling
- Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context
- Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns
- Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage
AI-NATIVE DEVELOPMENT PRACTICE
- Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight
- Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds
- Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters
REQUIRED QUALIFICATIONS
- 5+ years of professional software engineering experience with production systems
- Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code
- Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling
- Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch
- Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users
- Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management
- Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness
- Clear written communication: design docs, ADRs, and runbooks that others actually read
- Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick
STRONGLY PREFERRED
- Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments
- GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work
- Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage
- React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs
- Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns
- Experience in a GTM Systems, RevOps, or Sales Engineering context
- Okta / identity provider integration work (PKCE flows, SCIM, token management)
HOW WE OPERATE
The Foundry runs on three principles that every team member is expected to embody:
- Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off.
- Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality.
- Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work.
WHO THRIVES HERE
This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.
This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: United States
What The Role Is
As a
Staff Engineer
at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families.
You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next.
What You'll Own
A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build.
In practice, you:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Make the architecture calls that span teams and the ones that are expensive to reverse.
Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones.
A few problems people at this level are working on right now:
Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it.
Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt.
Building Early Investor, our new family finance product, from scratch, on a deadline that can't move.
Who You Are
You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other.
A few things that tend to be true of people who thrive here:
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.
You're curious: you spot problems before they're filed and push your own ideas until they ship.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
УдалённоseniorSpain
УдалённоseniorIsrael
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ОфисjuniorBaku; Xsolla operates across multiple time zones
УдалённоBerlin, Germany
УдалённоleadBerlin, Germany
Hong Kong, Hong Kong SAR
УдалённоSouth Africa; Philippines
УдалённоRemote, Australia, APAC
География найма не уточнена
seniorSingapore, Singapore
УдалённоSpain; United Kingdom; Serbia; Germany
УдалённоseniorUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
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