Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview
The Director, IT Core Infrastructure is a senior technology leader responsible for the strategy, transformation, delivery, and operations of SIE’s global core infrastructure capabilities. The role leads a broad, globally distributed organization spanning internal networks and client access, core network connectivity across physical sites, cloud and on-premise infrastructure, and enterprise endpoint management across mobile, Linux, Windows, and Mac platforms.
Reporting to the Senior Director of IT, this role leads through multiple managers and is accountable for the performance, security, scalability, reliability, resilience, and user experience of Core Infrastructure services. The Director will translate enterprise strategy into clear priorities, investment decisions, and multi-year roadmaps while balancing transformation, operational performance, technical debt, risk, and cost.
This leader will drive the evolution of Core Infrastructure toward highly automated, software defined, self-service, and increasingly autonomous operating models. The role requires the technical credibility to lead across infrastructure disciplines and the breadth to shape technology strategy, lead transformation, influence across organizational boundaries, and take on expanded responsibilities as business needs evolve.
What you'll be doing:
Functional Leadership & Accountability
Lead the Core Infrastructure organization across multiple teams and disciplines, providing clear direction, priorities, and accountability for outcomes.
Hold end-to-end accountability for service performance, including availability, reliability, security, resilience, and user experience.
Set priorities and make decisions across the Core Infrastructure portfolio, balancing operational needs, transformation, risk, technical debt, and investment.
Establish
clear accountability across teams while empowering leaders to independently own their services and outcomes.
Infrastructure Strategy & Transformation
Define and execute a Core Infrastructure strategy and multi-year roadmap aligned with enterprise technology strategy and business priorities.
Lead the evolution toward highly automated, software defined, self-service, and increasingly autonomous infrastructure services.
Drive adoption of
infrastructure
as code, observability, AI enabled operations, and modern engineering practices to improve reliability, scalability, speed, and efficiency.
Simplify and standardize technology and service models, reducing complexity and improving the ability to
operate
globally at scale.
Partner with Information Security, Service & Support, and other technology organizations to develop integrated solutions and influence broader enterprise technology strategy.
Service Delivery & Operational Excellence
Establish strong operational practices across service management, incident response, change management, lifecycle management, capacity, observability, and resilience.
Ensure infrastructure services meet performance, security, availability, resilience, business continuity, and regulatory requirements.
Drive measurable improvements in reliability, employee experience, engineering productivity, automation, cost efficiency, and speed of delivery.
Use operational data and service performance measures to
identify
systemic issues, prioritize improvements, guide investment, and reduce manual operational effort.
Enterprise & Cross Functional Leadership
Serve as a trusted advisor to senior technology and business leaders on infrastructure strategy, investments, risks, and opportunities.
Lead complex enterprise initiatives that span multiple technology organizations and require alignment across priorities, ownership boundaries, and stakeholders.
Represent Core Infrastructure in enterprise planning, architecture, investment, risk, and transformation discussions, bringing a perspective beyond the immediate needs of the function.
Communicate complex technology decisions and
tradeoffs clearly
to executive audiences and build strong partnerships across technology and business organizations.
People Leadership & Organizational Development
Lead, coach, and develop a global organization of managers, architects, and senior engineers.
Build a high performing leadership team with clear accountability, strong ownership, and the ability to
operate
independently.
Develop leaders capable of owning major technology domains and enterprise outcomes, creating organizational depth and succession readiness.
Continually evolve organizational structure, skills, roles, and sourcing models to support changing business and technology needs.
Build a culture centered on engineering excellence, accountability, collaboration, continuous improvement, and measurable outcomes.
Financial, Portfolio & Resource Management
Own financial planning, forecasting, investment prioritization, and resource allocation across the Core Infrastructure portfolio.
Make deliberate investment tradeoffs across transformation, lifecycle, technical debt, resilience, security, operational needs, and emerging capabilities.
Drive sustainable cost optimization and develop clear business cases for significant technology investments.
Manage strategic vendors, partners, and sourcing models to ensure performance, value, innovation, and alignment with SIE priorities.
Governance, Risk & Continuous Improvement
Establish appropriate governance, standards, and policies across Core Infrastructure while avoiding unnecessary process and operational overhead.
Identify
, communicate, and mitigate risks related to availability, security, scalability, lifecycle, capacity, and resilience.
Establish
and monitor meaningful service level
objectives
, availability targets, operational health measures, and business outcome metrics.
Use data to drive accountability, investment decisions, and continuous improvement.
Challenge existing processes and operating models where they create unnecessary complexity or limit speed, automation, or scalability.
Contribute to the continued evolution of the broader IT operating model and technology organization.
What we're looking for:
12+ years of experience across infrastructure engineering, enterprise technology, or related technology disciplines.
5+ years of experience managing managers and leading large, globally distributed technology teams.
Broad understanding of enterprise infrastructure and technology services, with deep
expertise
in one or more relevant domains and the ability to lead effectively across disciplines.
Proven experience
operating
and evolving large scale, business critical enterprise technology environments.
Demonstrated
experience leading significant technology, organizational, or operating model transformation across multiple teams or domains.
Experience developing managers and senior technical leaders and building leadership depth within an organization.
Demonstrated
ability to influence senior stakeholders and lead initiatives beyond direct organizational ownership in complex, matrixed organizations.
Experience building and executing multi-year strategies, roadmaps, investment plans, and operating models.
Strong financial and commercial acumen, including investment prioritization, vendor strategy, and cost optimization.
Ability to translate complex technology topics into clear business implications, decisions, and outcomes for executive audiences.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
The estimated base pay range for this role is listed below.
Base: €124,200 - €186,200 + Bonus & Benefits.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Barcelona, Spain
Appodeal
is a dynamic US-based product company with a truly global presence.
We have offices in
Warsaw, Barcelona and Parkland (FL),
along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
Seek the Truth and Say It with Care:
We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t.
Leverage Data to Build Product:
Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them.
We Work Together to Serve Others:
No closed doors between teams. We share what we learn and win as one company first.
Insist on Higher Standards:
We don’t settle for “good enough”. We question it and push for better.
Passionate Curiosity Fuels Perseverance:
We ask “why”, take on ambiguous problems and keep going when they get hard.
Lean Startup Mentality: Start Small, Iterate Quickly:
Think big, ship an MVP first and learn fast. No big-bang releases.
Ownership and Accountability:
We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn.
About the role
Our gaming business builds and scales a portfolio of casual, ad-monetized evergreen games (cards, words, puzzles, board games) from Barcelona. We’re rebuilding it as an
AI-native team
: instead of departments and management layers, we work in small squads, and each squad runs like a small studio that owns 1–3 games end to end: product, UA and monetization together. The reporting, coordination and analysis that used to need middle managers are handled by shared data and LTV models, AI agents and automation.
The model follows
"From Hierarchy to Intelligence"
by Jack Dorsey (Block) and Roelof Botha (Sequoia Capital), and uses a few simple roles:
Builder (IC):
everyone builds.
DRI (Directly Responsible Individual):
owns one result end to end, has real authority over the squad’s effort and picks the team. It’s a role, not a rank.
Player-coach:
sets the standard of a discipline for all squads and makes their expertise easy to reach. A coach is accountable for the standard and for being available, not for other people’s numbers or growth.
Advisor:
brings outside expertise without owning a result.
This seat is the player-coach for ad monetization, filled as an advisor.
It’s an advisory engagement, not employment: part-time, fully remote, with scope and hours agreed together. You won’t own a squad, a team or a revenue number. The squad DRIs own their results, and you raise the monetization craft they work with.
Why this seat exists:
Monetization is set up game by game, by people with very different backgrounds, and on the same users our titles still earn less than the best competitor in each genre. We want senior, market-calibrated monetization standards and a person every squad can consult and learn from.
Responsibilities:
Set and keep the ad monetization standards every squad works to.
Review and challenge the squads’ roadmaps from a monetization angle against the best casual evergreen titles, and bring in mechanics we haven’t tested.
Make expertise easy to reach: regular office hours with squad DRIs and builders, config and experiment reviews, and written playbooks with real examples.
Where it helps, open doors to ad networks, DSPs and exchanges relevant to casual gaming.
Speak up when a standard isn’t followed.
What this role is not:
Not a head of a monetization department and not a manager: no direct reports and no team to build.
Not accountable for squad or portfolio profit, and not asked to commit to it: each squad’s DRI owns their result. You’re accountable for the standards and for being available in the agreed hours.
Requirements:
Proven, hands-on experience leading monetization for casual, ad-monetized mobile games (cards, words, board, puzzle or similar evergreen genres). General ad-tech, mediation sales or IAP/midcore monetization backgrounds on their own aren’t enough.
A track record of building a fast, rigorous experimentation culture (A/B tests, waterfall optimization, segment-level configs) with measurable business impact.
Deep ad-tech knowledge: mediation (MAX, AdMob, in-house), bidding, waterfalls, floors and ad quality.
Strong existing relationships with ad networks, DSPs and exchanges in casual gaming.
Comfortable working from shared data and LTV models, with AI agents and automation, rather than through an analytics team.
You can explain standards so that DRIs and builders from other disciplines can apply them.
Format:
Advisory, part-time, fully remote, with no office visits.
Scope, hours and terms agreed together.
A good fit if you’re not looking for a full-time move but want to share what you know.
Why Join Us?
You’ll shape how a whole portfolio of games makes money, without a full-time commitment.
Your advice goes straight into live games, and you’ll see the results.
You’ll work with squads that want to learn and move fast.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us
and help shape the future of mobile app success!
Location: Paris; Warsaw; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
We are seeking a talented and experienced platform engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.
Location: Paris / Warsaw / London (hybrid) or remote EU/UK with one hub visit per month.
What you will do
As a Platform Engineer, your responsibilities will include (but may not be limited to):
• Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed)
• Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission.
• Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines.
• Optimizing a variety of builds: container images, large libraries compilation times, python environments...
• Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise.
• Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.
• Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.
About you
• 5+ years of successful experience in a similar DX / DevOps / SRE role.
• Proficiency in software development (Python, Go...) and programming best practices.
• Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...)
• Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...).
• Technical product mindset (e.g. understanding how to debug poor adoption).
• Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
• Ownership, high agency and constantly seeking to learn and improving things for others.
• Autonomous, self-driven and able to work well in a fast-paced startup environment.
• Low ego and team spirit mindset.
Your application will be all the more interesting if you also have:
• First hand Bazel (or equivalent) experience.
• Strong knowledge of Python's ecosystem.
• Familiarity with GPU based workloads and ecosystems.
• Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).
Location and Remote
This role is primarily based at one of our European offices (Paris, Warsaw and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office:
• for the first week of their onboarding (accommodation and travelling covered)
• then at least 3 days per month
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Cyprus - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Nicosia
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Czech Republic - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals.
You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work.
KEY RESPONSIBILITIES
- Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work.
- Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results.
- Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents.
- Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products.
- Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability.
- Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption.
- Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of building and shipping production products end to end.
- Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback.
- Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications.
- Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise.
- Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification.
- Experience with enterprise, growth, or collaboration products is a plus.
If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: San Francisco
Description
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day.
As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
Why Perplexity is different
- Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
- Build agentic apps, features, and workflows that make Perplexity a daily driver for users.
- Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day.
- Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar.
- Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue.
- Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else.
Qualifications
- 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end.
- Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes.
- Strong execution: you ship many products and experiments in parallel and drive each to a measurable result.
- Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions.
- An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end.
- Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission.
- Experience mentoring engineers and raising the technical bar of a team.
- Genuine interest in and adoption of AI products and willingness to learn quickly.
Nice to have
- Domain expertise in verticals such as finance, healthcare, legal, or operations.
- Experience building agentic product surfaces.
- Time at a fast-growing startup or high-ownership engineering team.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for
claude.ai
, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs.
We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.
Key responsibilities
Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management
Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team
Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals
Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment
Drive cross-team and cross-org alignment to ship work that spans
claude.ai
, Claude Code, Cowork, and the API, working effectively with teams primarily based in the US
Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on
Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team
Minimum qualifications
Experience managing software engineering teams, including hiring, coaching, and performance management
A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions
Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale
Excellent communication skills, with the ability to build consensus across teams and time zones
Demonstrated success building a culture of belonging, and of product and engineering excellence
Preferred qualifications
3+ years of experience as an engineering manager
Familiarity with MCP or experience contributing to open standards or open source ecosystems
Experience leading teams that collaborate closely with distributed or cross-timezone partner teams
Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems
Experience building or operating API gateways, proxies, or multi-tenant platforms
Experience building for enterprise customers, including admin controls, governance, and compliance requirements
Experience working on AI/ML products or agentic systems
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:
£255,000
—
£325,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Austin, TX
Workplace: Hybrid
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
Our SMB (Small and Medium Business) Sales Team is responsible for landing and expanding 1Password customers. As an SMB Account Executive, you will be responsible for managing a territory that includes target-accounts and an existing book of business that has companies of up to 1,000 employees. Your primary focus will be on hunting new business opportunities, building sales pipeline, and driving growth within the SMB sector. You will also be responsible for upselling into the existing account base, leveraging our Extended Access Management Identity.
The successful candidate will possess exceptional skills in building and managing their own pipeline, engaging in multi-threaded relationships, and demonstrating expertise in account planning, territory management, and value-based selling.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
Expectations of this role
This is a hybrid role. You will be expected to work from 1Password's Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we're looking for:
- 2+ years of SaaS sales experience, preferably in identity & security or privilege access management, with a focus on SMB or Mid Market accounts OR a top performing BDR with outbound experience and success ready to step up
- Strong track record of meeting or exceeding sales quotas and KPIs.
- Experience up-selling & cross-selling to both new customers and across your book of business
- Proficiency in strategic account planning, territory management, and value-based selling.
- Strong business acumen, communication & presentation skills to C-Suite
- Meticulous operating-rigor when it comes to pipeline management, forecasting and pacing to target
- Ability to understand and articulate complex cybersecurity concepts, particularly in Identity and Access Management.
- Self-motivated, driven, and able to work independently in a remote setting.
- Preferable proficiency with Salesforce, Slack, Zoom, Linkedin Sales Navigator & Outreach
What you can expect:
- Sales:
- Own your territory and build and Maintain Pipeline: Develop a strong sales pipeline through proactive prospecting, cold calling, and networking.
- Drive Sales Growth:
- Achieve or exceed sales targets and KPIs, including:
- Consistently meet or exceed quarterly sales quotas.
- Maintain a high level of outbound activity, including calls, emails, and meetings.
- Develop and close new business opportunities within your territory.
- Upsell and Expand Accounts: Identify opportunities to upsell Extended Access Management to your Enterprise Password Manager Customers.
- Cross-functional Collaboration/Team Selling:
- Collaborate seamlessly with SDRs, Solutions, Onboarding and Customer Success Managers (CSM) to optimize client engagement and identify growth opportunities.
- Engage in multi-threaded relationships within client organizations to enhance overall account health.
- Value-Based Selling:
- Implement value-based selling strategies to align our solutions with client needs and objectives.
- Demonstrate a deep understanding of client pain points and position our offerings as strategic solutions.
- Presentation and Negotiation:
- Confidently present to C-suite executives, articulating the value proposition of our products and services.
- Experience working with Mutual Action Plans to drive an agreed-upon outcome.
- Utilize strong negotiation skills to drive mutually beneficial outcomes.
USA-based roles only: The annual base salary for this role is between $68,000 USD and $95,000 USD, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🏝 Generous PTO policy
💖 Four company-wide wellness days
Growth and future
📈 Company equity for all full-time employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🌎 Employee-led inclusion and belonging programs and ERGs
🏆 Peer-to-peer recognition through Bonusly
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid)
About the Role
You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale.
Responsibilities
Develop, optimize, and productionize machine learning models for Cloudflare’s serverless inference platform, with a focus on performance, reliability, and model quality.
Build benchmarking and evaluation frameworks to measure latency, throughput, cost efficiency, and model behavior across LLMs, speech, vision, and other model families.
Improve inference performance through quantization, batching, caching, model compilation, runtime tuning, and accelerator-aware optimization.
Partner with systems engineers to integrate models into Cloudflare’s distributed inference infrastructure across a heterogeneous fleet of GPUs and next-generation accelerators.
Drive improvements to model deployment workflows, including validation, rollout safety, observability, regression testing, and operational readiness.
Collaborate with product and engineering teams to translate customer requirements into scalable ML capabilities for Workers AI.
Mentor engineers, contribute to technical direction, and raise the quality bar for production ML engineering practices across the team.
Desirable Skills, Knowledge, and Experience
Experience building, optimizing, and operating machine learning models in production environments.
Strong proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent.
Hands-on experience with inference optimization techniques for large-scale models, including quantization, batching, caching, compilation, and serving runtime tuning.
Experience with large-scale inference serving frameworks or runtimes such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar.
Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures.
Experience optimizing models for GPUs or specialized accelerators.
Strong understanding of production ML concerns, including evaluation, monitoring, model regressions, rollout safety, and reliability.
Ability to work across ML and systems boundaries, including familiarity with distributed systems, networking, or serverless platforms.
Track record of leading complex technical projects and mentoring other engineers.
Bonus Points
Experience contributing to open source ML tooling, model serving frameworks, or inference runtimes.
Compensation
Compensation may be adjusted depending on work location.
F
or Bay Area based hires: Estimated annual salary of $194,000 - $266,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Singapore, Singapore
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.
About The Opportunity
Core product role within the Advanced Trading PM team. Own advanced trading product lines and trading features for our onshore compliant markets(
EEA
,US,SG,UAE and etc) — from strategy and
PRD
to launch and iteration — while keeping our product mechanics competitive with leading CEXs.
What You'll Be Doing
Product Ownership:
Own the roadmap and delivery for assigned advanced trading product areas: account/margin model, order lifecycle, position management, market data surfaces, and trading UI on Web and App.
Write clear PRDs and user stories; drive designs through review,
UAT
, launch, and post-launch iteration.
Define success metrics and run continuous improvement loops on trading experience, liquidity quality, and risk outcomes.
Competitive & Market Insight:
Continuously benchmark against leading CEXs (Binance, Bybit, Coinbase, Kraken, Bitget, etc.) — deconstruct product mechanisms, fee/liquidity models,
UX
, and new launches.
Track TradFi derivatives and onshore compliant-market developments; surface actionable opportunities.
Trading Experience:
Improve speed-to-trade, order tickets, Kline/charting, and active-trader retention features on Web and App.
Partner with design and engineering to ship polished, high-performance trading surfaces.
Liquidity, Execution & Risk:
Contribute to liquidity parameters, fee tier design, and execution-quality tracking (spread, depth, slippage, fill-rate) under senior guidance.
Support risk framework work: price limits, funding rate, index/mark price logic, leverage & position tiers — translating requirements into product specs.
Compliant-Market Delivery:
Work with compliance, legal, and local entity leads to deliver product changes for licensed jurisdictions (SG, EU/
MiCA
, HK, US, BR, AU, UAE).
Translate regulatory requirements into product specs without over-degrading UX.
Cross-Functional Execution:
Partner day-to-day with engineering, quant/risk, design,
ops
, BD, and institutional client teams.
Communicate progress, risks, and tradeoffs clearly to the team lead and stakeholders.
What We Look For In You
5+ years of product management experience, with at least 3+ years on crypto trading products (derivatives strongly preferred).
Solid working knowledge of CEX product mechanisms: perpetuals/futures/options, margin models, funding rates, index/mark price, liquidation, order types, market microstructure
Hands-on experience shipping trading features on Web and/or App at a top-tier CEX or comparable trading platform.
Basic understanding of exchange liquidity economics and risk frameworks (maker/
taker
fees, position tiers, leverage curves).
Strong written PRDs, structured thinking, and cross-functional execution.
Fluent English; Mandarin a plus.
Nice to Haves
Direct competitor experience at a leading CEX.
Familiarity with at least one onshore compliant market (EEA, US, SG, AU, UAE, TR, BR).
Prior experience at a traditional brokerage / TradFi exchange (e.g., IBKR, Futu, Tiger, Robinhood, CME, HKEX, SGX) — especially derivatives, margin, or trading UX.
Familiarity with smart contracts, token economics, or tokenized RWAs.
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: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users.
As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow.
The team / how they connect
You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft.
The team is currently working on / Initially, you will focus on
- Modernizing systems by refactoring monolithic components into distributed, scalable architectures.
- Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices.
- Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes.
- Developing and implementing technical solution designs that align with long-term engineering frameworks.
Where and how you can work
This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person.
Here are some of the things we are looking for
- Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic).
- You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers.
- A background in designing and building high-quality software within a range of languages and tools is essential.
- You possess the ability to lead major code design decisions and contribute to wider technical solutioning.
- Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success.
- You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching.
- A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.
Compensation Philosophy
At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.
The base salary range for this role in Canada is $155,000 - $205,000 CAD.
Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include:
- Variable Pay: Eligibility commissions or equity based on role and performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs.
- Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.
Responsibilities
Own the technical strategy and roadmap, translating goals into concrete execution
Manage day-to-day execution of the team's work
Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment
Stay hands-on: build and ship the runtime platform and tooling
Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management
Build primitives that are composable and reusable across various agents
Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence
Collaborate cross-team, supporting internal teams bringing up their agents
You May Be a Good Fit If You:
Have 10+ years building and operating large-scale platforms or distributed systems
Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment
Have experience with container or VM orchestration at scale
Are obsessed with productivity and transforming how we work
Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have:
Engineering management experience on top of a strong IC track record
Experience with harness engineering
Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
Experience with capacity planning and utilization across multiple cloud providers
Experience working with researchers, engineers and other functional roles
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Warsaw
The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.
We are looking for an experienced product manager to join the team responsible for key elements of Asana’s work platform strategy. Over the next 2 years, a critical piece of Asana’s strategy is to continue building out a platform that can support many different types of workflows. You’ll be responsible for understanding how customers’ need to structure work to enable their workflows and build out the features to meet those needs directly, and enable other Asana R&D teams to incorporate structure into their features. You’ll work with a large set of cross-functional partners across both our GTM and internal teams to learn about how internal and external customers of all sizes need to customize their core Asana experience to support their workflows, and how your work fits within the entire customer lifecycle so that we customers feel confident in structuring their work in the right way at the right time to power.
This role is perfect for a product manager with deep customer empathy for the complexity of mapping messy work to a structured tool, has an end-to-end ownership mindset, and drives for results. We are looking for someone who has experience building software in partnership with enterprise customers, strong product intuition, and can marry qualitative insights with quantitative data to deeply understand the customer experience. You thrive on learning from customers, and are excited to partner with engineering, design, user research, sales, and the rest of our amazing PM team.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Define and deliver a compelling roadmap to ensure customers have the structure they need to power their end to end workflows.Synthesize input from customers, user research, data science, and business partners, ensuring we are continuously investing in the right ways to structure work, and shifting quickly when an area is no longer leveraged.Take new initiatives from 0 to 1, and then scale them up, as we validate product market fitPartner closely with design, engineering, marketing, and customer success to co-create a cohesive end to end journey and execute on the roadmap with velocity.Collaborate across the R&D organization to support other R&D teams in achieving their goals.
About you
5+ years of experience as a Product Manager, with at least 1-2 years experience on B2B SaaS.
Customer-centric:
You spend time directly with customers to understand their nuanced challenges and synthesizing research to identify and solve problems..
Communication and collaboration:
Demonstrate strong communication and collaboration skills with cross-functional teams, clarifying complex concepts and writing precise product specifications. You pair effectively with design, engineering, and our business teams.
Systems thinker:
Think systemically, creating solutions that simplify complex use cases for customers.
Strategic:
Provide strategic insights and create intuitive connections within the custom field & types features and platform to address critical customer issues.
Get Stuff Done:
Execute projects with high velocity, breaking them down into MVPs and iterative stages for impactful delivery.
Grow Team Asana:
Foster team morale and share best practices in product management.
Growth Mindset:
Embrace a growth mindset, welcoming feedback and maintaining curiosity in learning.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between 29,000 - 31,935PLN. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
EST
Europe
Why this job is exciting
Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services.
This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software.
The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will:
Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud.
Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances.
Expose complex infrastructure as API to support internal customers to iterate faster.
Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP) to debug and patch non-trivial problems.
Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence.
Participate in on-call rotation to uphold our contractual SLA commitments.
📅 Within one month, you will…
Onboard onto the Sourcegraph architecture, tooling, and development workflow.
Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals.
Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals.
Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs.
📅 Within three months, you will…
Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem.
Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments.
Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs.
Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery.
Participate in our on-call rotation.
📅 Within six months, you will…
Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team.
Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs.
Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar.
About you
You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary.
Qualifications:
Proficiency in Go, or other strongly typed languages.
Knowledge in one of the public cloud platform providers (GCP, AWS, Azure)
Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation.
Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory.
Ability to communicate clearly and empathetically, especially in writing and documentation.
Preferred time zone between UTC-8 and UTC+2
Nice to haves:
Built services and exposed them as API for external consumption (e.g., gRPC).
Comfortable implementing system-level software (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators.
Published blog posts and/or tech talks about your work.
Experience working on small high-performing teams, preferably tech startups.
Level
📊 This job is an IC3. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰The starting salary for the IC3 pay band in each zone is:
Zone 2: $148,000 USD
Zone 3: $111,000 USD
Zone 4: $74,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 4.75 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[Async] Take-home exercise
[60m]
Take-home exercise walkthrough + System Design
[60m]
Pairing Exercise
[60m]
Resume Deep Dive
[60m]
Cross-functional Team Collaboration Interview
/
Values Interview
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30m]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Barcelona, Spain
ГибридParis; Warsaw; London; In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorCyprus - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorNicosia; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorCzech Republic - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
San Francisco; Seattle; New York City
San Francisco; Seattle; New York City
San Francisco
San Francisco
London, UK; Excellent communication skills, with the ability to build consensus across teams and time zones; Experience leading teams that collaborate closely with distributed or cross-timezone partner teams
ГибридAustin, TX
География найма не уточнена
seniorSingapore, Singapore
ГибридseniorГеография найма не уточнена
San Francisco, CA | New York City, NY
Warsaw
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week; Preferred time zone between UTC-8 and UTC+2
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