X-FLOW
is a mobile game development company established in 2018. We gained recognition after the release of
Happy Color
, the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world.
As a
UI/UX Design Lead
, you will gather and interpret user insights to craft engaging experiences across all of the company’s products. You’ll design functional, visually appealing features that enhance user experience and satisfaction, and lead our internal UI/UX team through the product development process. Working closely with your colleagues, you’ll deliver UI mockups, prototypes, and final features.
Responsibilities:
Lead and mentor the internal UI/UX team: grow designers, raise the quality of their work, delegate effectively, run performance reviews, give regular feedback, and establish design standards;
Take ownership of product UX: turn ambiguous product problems into clear user scenarios and propose solutions, rather than just translating ready-made concepts into UI;
Own the design and delivery of mobile games or apps, covering every stage from initial exploration to final handoff;
Drive UX research: frame research questions, draw on user feedback and focus group insights, and distinguish team opinions from real user problems;
Work closely with feature owners, project managers, developers, game designers, and other team members to turn creative concepts into production-ready assets;
Evolve and maintain the design system, ensuring UX/UI consistency across a large number of screens and features;
Build clear processes for design review and developer handoff, and improve how design collaborates with product and other departments;
Manage multiple projects effectively, ensuring consistent performance and strong attention to detail;
Ensure the final design meets specs.
Requirements:
3+ years of commercial interface design experience, including experience as a
UI/UX Design Lead
in game development;
Proven experience mentoring designers, delegating, and giving constructive feedback;
Strong knowledge of UI/UX (visual design, interaction, information architecture); ability to design mobile game interfaces from scratch;
Experience building and maintaining a design system;
Product mindset: ability to define the problem and the solution, not just execute a brief;
Experience applying user research and feedback to design decisions;
Proficiency in Figma and Photoshop (experience with Unity is a plus);
Strong 2D art and illustration skills;
Proficiency in creating clear and aesthetically pleasing icons;
Strong knowledge of how to use animation and effects to enhance the user interface.
Russian - C1/higher, English - B1.
What We Offer:
Competitive salary and benefits package.
Opportunity to work with a talented and passionate team in a creative and dynamic environment.
Flexible working hours and remote/office work options.
Career growth and professional development opportunities.
A fun and inclusive company culture that celebrates diversity and creativity.
Join us and let’s create great content together!
When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice
(
https://xflowgames.com/candidate-privacy-notice
).
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Work with your customers on their overall AI adoption strategies, including use case scoping, architecture reviews, technical champion building, adoption workshops, and use case execution
Support customers building with both the Claude API and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Reproduce customer environments and problems in your own builds. Use them to prove the path to production
Build deep relationships with Anthropic engineering and product teams. Carry customer needs into the product roadmap and bring product direction back to your accounts
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$240,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments.
We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure.
This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it.
You will report to the Data Center Security Engineering manager.
Key responsibilities
Lead and grow the platform security engineering group: hiring, onboarding, development, performance, and prioritization for full-time engineers, and coordination of contractor and vendor engineers working alongside them
Own the platform security roadmap and its delivery: hardware root of trust and attestation, secure and measured boot across CPU, BMC, accelerator, and peripheral firmware, OS and kernel hardening, and the host-side pipeline that turns attestation evidence into production gates
Own the firmware supply chain posture for the fleet: SBOM and reference integrity manifests, authenticated update, rollback protection, and the vendor relationships needed to get fixes shipped
Drive platform risk assessments for new compute platforms and providers, and make evidence-based go/no-go recommendations with bounded risk rather than perfect-or-nothing gates
Partner with infrastructure, fleet, compute, and detection and response teams so that platform controls land in production without degrading training or inference performance
Manage relationships with silicon vendors, OEMs, and compute providers: security requirements, vulnerability management, disclosure and remediation timelines, and upstream and standards-body engagement (TCG, OCP, IETF)
Run the team's operating rhythm: design reviews, threat models, incident participation for platform-layer issues, and clear written status to security and infrastructure leadership
Minimum qualifications
Have 10+ years in systems security, with at least 5 years focused on firmware, hardware, or OS-level security
Have 5+ years as a people manager of security or systems engineers, including hiring and developing senior and staff-level engineers
Can go from architecture to implementation detail with your engineers: secure boot, measured boot, TPM and other roots of trust, attestation protocols (SPDM, DICE, remote attestation), UEFI and BMC firmware, and Linux kernel and OS hardening
Have owned a technical roadmap end to end, including the prioritization calls when security, performance, and delivery timelines conflict
Have worked directly with silicon vendors, OEMs, or cloud and bare-metal providers on security requirements and remediation, and can push a partner to a fix without burning the relationship
Write clearly: design reviews, risk assessments, and status for executives are part of the job
Are comfortable building a team and its processes from an early stage, with a scope that is broader than the headcount
Preferred qualifications
Experience managing a mixed team of full-time engineers, contractors, and vendor engineers while keeping design authority in-house
Hands-on background in OpenBMC or other server management firmware, DRTM or secure launch, or confidential computing primitives (TDX, SEV-SNP, ARM CCA)
A record of upstream contributions or maintainership in Linux, OpenBMC, or a comparable community, or standing in TCG, UEFI Forum, or OCP
Experience securing large-scale HPC or AI training infrastructure
Firmware vulnerability research, reverse engineering, or fuzzing background
Experience running coordinated vulnerability disclosure with hardware or firmware vendors
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:
$485,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
As an Engineering Manager for Postgres, you will lead a group of talented engineers building and maintaining the Render Postgres product. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that hundreds of thousands of developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.
WHAT YOU'LL DO
- Lead and grow a team of postgres engineers, supporting their development through mentorship, feedback, and clear technical guidance.
- Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality.
- Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps.
- Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs.
- Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes.
- Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution.
- Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build.
- Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.
WHAT WE'RE LOOKING FOR
- 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services.
- 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management.
- Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs.
- Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features.
- Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality.
- Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design.
- A strong sense of ownership and accountability for both team outcomes and long-term system health.
NICE-TO-HAVES:
- Experience building products for developer platforms, cloud infrastructure, or DevTools.
- Background working on highly scalable distributed systems or infrastructure platforms.
- Experience improving engineering velocity through tooling, processes, and team practices.
- Experience building products used directly by developers or technical users.
- A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
As an Engineering Manager for Object Storage, you will build and lead a group of talented engineers creating an object storage product (and in the future, abstractions on top of object storage) on the Render platform. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into a high-quality, scalable system, that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, experience building stateful services, and a passion for building products that developers love.
WHAT YOU'LL DO
- Build and lead a team of object storage engineers, supporting their development through mentorship, feedback, and clear technical guidance.
- Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality.
- Partner closely with Product, Design, and Infra teams to translate customer needs into thoughtful technical solutions and product roadmaps.
- Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs.
- Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes.
- Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution.
- Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build.
- Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.
WHAT WE'RE LOOKING FOR
- 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem. Ideally, experience with building stateful services.
- 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management.
- Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs.
- Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features.
- Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality.
- Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design.
- A strong sense of ownership and accountability for both team outcomes and long-term system health.
NICE-TO-HAVES:
- Experience building products for developer platforms, cloud infrastructure, or DevTools.
- Background working on highly scalable distributed systems or infrastructure platforms.
- Experience improving engineering velocity through tooling, processes, and team practices.
- Experience building products used directly by developers or technical users.
- A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role:
WorkOS is growing rapidly, and our largest customers are growing with us. We're looking for an Account Manager to own the expansion of our most complex accounts — deepening product adoption, uncovering new use cases, and turning strong technical relationships into meaningful revenue growth.
This is a commercial role with a technical center of gravity. You'll build trusted relationships with engineering and product leaders, understand their roadmaps well enough to see where WorkOS should show up next, and drive the renewals, upsells, and multi-product expansion that follow. You'll also be a critical feedback loop into product — the expansion opportunities you can't close today become the roadmap that unlocks them tomorrow.
Responsibilities
- Own a book of strategic accounts end to end: retention, renewal, and expansion targets
- Build and execute account growth plans — map the org, identify unadopted products and untapped teams, and drive a clear path to increased usage and spend
- Proactively surface expansion opportunities by understanding each customer's product roadmap, technical architecture, and growth plans
- Lead commercial conversations independently, from initial opportunity through pricing, negotiation, and close
- Drive adoption of the full WorkOS platform — SSO, Directory Sync, AuthKit, Audit Logs, and beyond — across new teams, new products, and new geographies
- Partner with Sales, Support, and Engineering to remove technical blockers standing between a customer and their next stage of growth
- Run executive business reviews that connect WorkOS usage to customer outcomes and set up the next expansion conversation
- Forecast accurately and maintain pipeline hygiene across your accounts
- Feed structured expansion signal back to Product — what customers are asking for, what's blocking adoption, and what would unlock the next tier of spend
- Help build the playbooks, content, and processes that make this motion repeatable as the team scales
Qualifications
- 5+ years in account management, customer success, or sales at an enterprise level, with a track record of growing existing accounts
- Demonstrated ownership of expansion, upsell, or net revenue retention targets
- Strong product sense and genuine energy for solving hard technical customer problems
- Ability to lead complex integration and architecture conversations in a consultative, proactive way
- Familiarity with APIs and the ability to explain API concepts to our largest and most technical customers
- Familiarity with SQL — comfortable writing basic queries and modifying more complex ones to find adoption and usage signal on your own
- Comfort navigating multi-threaded relationships, from individual developers to VPs and executive buyers
- Strong written and verbal communication skills
- Commercial instincts: you can spot an opportunity, build the business case, and ask for the deal
- Operations-savvy mindset — you remove process friction and build things that scale
- Strong organizational skills and a self-starting mindset
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
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 others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem.
As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users.
RESPONSIBILITIES
- Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents.
- Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products.
- Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products.
- Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms.
- Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures.
- Collaborate with top-tier academic and industry researchers in SII's external research network.
- Publish findings at premier venues and contribute to the broader security research community.
QUALIFICATIONS
- Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy.
- Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions.
- Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product.
- Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Location: San Francisco; Seattle; New York City; Toronto
PERPLEXITY API PLATFORM
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
ABOUT THIS ROLE
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
KEY RESPONSIBILITIES
- Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
- Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
- Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
- Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
- Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
- Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
- Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
- Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
- Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
- Uphold engineering excellence through design reviews, code quality, and internal documentation.
QUALIFICATIONS
- 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
- Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
- Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
- Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
- Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
- A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
- Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
- Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
- Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
- Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
Location: United States, San Mateo, CA
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.
Are you passionate about Quality Engineering and Test Automation?
We are looking for a highly motivated, proactive Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will partner closely with software engineers, product managers, and quality engineers to ensure the delivery of high-quality features across multiple PlayStation platforms and services.
The ideal candidate has strong software development skills, enjoys building scalable automation frameworks, and is passionate about improving engineering quality through automation, continuous testing, and modern DevOps practices.
What You’ll Do
Design comprehensive test strategies, test plans, and test cases for new features and platform enhancements.
Review product requirements, functional specifications, and technical design documents to identify test scenarios and quality risks early in the development lifecycle.
Design, develop, and maintain scalable automation frameworks for UI, API, integration, and end-to-end testing.
Develop automated tests to improve regression coverage and reduce manual testing efforts.
Execute automated and manual testing across multiple platforms, devices, and environments.
Investigate, reproduce, document, and verify software defects while collaborating with development teams to drive timely resolution.
Monitor automation pipelines, analyze test results, and continuously improve test reliability and execution efficiency.
Integrate automated tests into CI/CD pipelines to support continuous integration and continuous delivery.
Collaborate with globally distributed engineering teams to deliver high-quality releases.
Contribute to quality engineering best practices, coding standards, and automation strategy across the organization.
Participate in code reviews for automation frameworks and test infrastructure.
Provide regular quality metrics, risk assessments, and project status updates to engineering leadership and stakeholders.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related technical field or equivalent practical experience.
3–5 years of experience in Software Development Engineering in Test (SDET), Quality Engineering or Test Automation.
Strong programming experience in one or more languages such as
Python, Java, JavaScript, C# or C++
.
Experience building and maintaining automated test frameworks.
Hands-on experience with UI automation tools such as
Playwright, Selenium, Cypress, Appium or similar technologies
.
Experience testing RESTful APIs using tools such as Postman, REST Assured or custom automation frameworks.
Experience testing SDKs, libraries, backend services, and native applications.
Familiarity with modern web technologies such as
React, Angular or Vue.js
.
Experience with
Git
and
CI/CD
tools such as Jenkins, GitHub, CircleCI, Azure DevOps, or similar.
Experience working in Agile/Scrum software development environments.
Strong analytical, debugging, and troubleshooting skills.
Excellent verbal and written communication skills.
Self-motivated with the ability to work both independently and collaboratively in a fast-paced environment.
Preferred Qualifications
Experience testing applications on gaming consoles, embedded systems, mobile devices, or consumer electronics.
Experience developing production software or backend services.
Experience with cloud technologies such as AWS, Azure, or Google Cloud Platform.
Experience with containerization technologies including Docker and Kubernetes.
Knowledge of performance, scalability, security, and load testing methodologies.
Experience working with micro services architectures.
Familiarity with test reporting and analytics tools.
Why Join PlayStation?
At PlayStation, quality is a shared responsibility. As an SDET, you’ll work alongside world-class engineers to build automation solutions that ensure millions of players enjoy reliable, high-quality gaming experiences. You’ll have the opportunity to influence engineering practices, improve development efficiency, and help shape the future of PlayStation technologies.
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 medical, dental, vision, matching 401(k), 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.
$140,500
—
$210,700 USD
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
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: Athens; Thessaloniki
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
KIEFER TEK is expanding its EPC capabilities in energy storage and is looking for a senior commercial leader to drive the growth of its BESS business
You will originate and close utility-scale BESS EPC contracts with developers, IPPs, funds and industrial off-takers, running deals end to end from first meeting to signature alongside Engineering, Procurement and PMO, and shaping the pricing and contracting approach for a newly prioritised portfolio. You will also lead the differentiation argument that increasingly decides these deals — how energy management, analytics and AI-assisted dispatch optimisation improve availability, revenue stacking and levelised cost of storage.
WHAT YOU'LL DO
• Map the Greek and regional storage landscape and build a structured, prioritised pipeline
• Run opportunities end to end — qualification, technical scoping, proposal build-up, negotiation, and handover to PMO after signature
• Shape pricing architecture and contracting models (turnkey EPC, EPC wrap, Balance of Plant, EPC + long-term service agreements) with Engineering, Procurement and Finance
• Translate CAPEX, EPC scope, round-trip efficiency, degradation/augmentation and availability guarantees into commercial narratives that hold up to investor and lender scrutiny
• Lead the digital and AI value conversation — forecasting, dispatch optimisation, state-of-health analytics — and its effect on revenue stacking and levelised cost of storage
• Track tender schedules, capacity mechanisms, grid connection terms and competitor positioning
• Maintain CRM discipline and produce reliable weighted-pipeline forecasts
• Represent KIEFER TEK at industry conferences, tenders and investor events
WHAT WE'RE LOOKING FOR
• 5–7+ years in Sales or Business Development within Energy, EPC or Renewables, with a track record of closing complex, long-cycle B2B contracts
• Direct exposure to utility-scale BESS strongly preferred; adjacent experience in Solar PV, Wind, substations or grid connection works valued
• Working command of BESS commercial fundamentals — revenue stacking, augmentation, EPC vs. BoP scope splits, availability guarantees, levelised cost of storage
• Genuine literacy in AI and digital optimisation of energy assets, and the ability to apply AI tools to your own commercial work
• Bachelor's degree in Engineering, Energy, Business Administration or related field (Master's a plus)
• Fluency in Greek and English
• Valid Category B driving licence and readiness to travel 30–40%, primarily in Greece with regular travel across SE Europe
WHAT WE OFFER
- Competitive compensation package, with full pay transparency throughout the recruitment process
- Performance-based bonus linked to commercial results
- Company car and fuel allowance
- Private medical insurance
- Professional development in BESS, energy markets and AI-enabled energy solutions
- Participation in key industry conferences and events
- High level of autonomy and direct access to senior management
- The opportunity to play a key role in developing KIEFER TEK’s Energy Storage business
KIEFER TEK is an equal opportunity employer. All applications are treated in strict confidence in accordance with GDPR.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for our Central Operations and Systems organization — the foundational platform that powers "how Docker does Docker", which includes corporate systems, developer AI/SDLC, infrastructure, reliability, and internal systems. This is one of the most impactful individual contributor roles at Docker, responsible for defining and driving the technical strategy that enables Docker's transformation to an AI-first company and effectively enables Docker to be "Customer 0" of Docker. Your influence will impact the work of every Dockhand every day.
As Senior Principal Engineer, you will establish strategic technical plans that span the company systems/data architecture and the end-to-end employee experience, make critical architectural decisions that affect Docker's entire internal systems portfolio, and drive technical execution of cross-company initiatives that directly enable every Dockhand. You'll work at the technical intersection of AI, platform infrastructure, developer SDLC, corporate systems, and Docker products, ensuring all systems work together seamlessly to support Docker's most precious resources: our employees.
This role requires someone who combines deep technical expertise across multiple domains. Managing the breadth is both the exciting and challenging part of this role. You'll be recognized across Docker as the definitive expert on employee experience, consulted by executives on strategic technical decisions, and responsible for ensuring that every Dockhand has the right tools at the right time to do their day to day work.
_______________________________________________________________________
RESPONSIBILITIES
Technical Vision & Strategic Planning
- Define and own the multi-year technical vision for Docker's Central Operations and Systems group, encompassing internal AI, developer tools, infrastructure, reliability, and corporate systems.
- Establish strategic plans and objectives for major initiatives, making architectural decisions that ensure Docker's business objectives are met.
- Contribute to and drive the strategic vision in collaboration with engineering leadership, translating organizational strategy into technical roadmaps that span multiple teams and time horizons
- Identify and prioritize investments that provide maximum leverage—capabilities built once that enable rapid adoption and increase productivity across the employee base
- Develop architectural principles and standards that guide technical decisions across the Central Operations and Systems group and influence product engineering teams
- Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Cross-Company Technical Leadership
- Lead technical vision and implementation for large cross-company programs that require coordination across all Docker teams
- Architect the Docker SDLC "Golden Path": how Dockhands build, manage and deploy systems and software, as applicable
- Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities
- Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability
- Lead architectural reviews for major initiatives across Docker, ensuring alignment with platform strategy and long-term maintainability
- Proactively identify and solve problems that impact critical areas of the business before they become blockers
Infrastructure & Developer Experience Architecture
- Define the infrastructure platform vision that removes infrastructure as a bottleneck to innovation—enabling teams to deploy experimental services in minutes, not weeks
- Architect standardized deployment patterns that encode best practices for security, scaling, monitoring, and reliability
- Design infrastructure that specifically supports AI and agent initiatives—rapid deployment, programmatic environment creation, consistent APIs
- Establish observability standards that provide distributed tracing, metrics, log aggregation, and error tracking out of the box for every service
- Drive cost optimization across platform infrastructure while maintaining performance and reliability standards
Technical Excellence & Influence
- Work with senior managers and directors across Docker organization to drive operations and strategy
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's platform architecture and AI adoption externally through blog posts, conference talks, and technical community engagement
- Participate in executive-level discussions on technical strategy, providing architectural perspective on business decisions
- Drive build-vs-buy decisions for critical platform components, evaluating vendor solutions against Docker's specific requirements
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
Technical Expertise
- 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc)
- Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
- Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
- Expert-level understanding of API design, service architecture, and system integration patterns at scale, including in-house vs. vendor developed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
- Knowledge of enterprise security requirements, compliance frameworks (SOC 2, ISO 27001), and their architectural implications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Strategic & Business Impact
- Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
- Experience translating business strategy into technical architecture and roadmaps
- Demonstrated ability to identify and prioritize investments that provide maximum platform leverage
- Understanding of SaaS business models, enterprise sales cycles, and how platform capabilities influence commercial success
- Experience making build-vs-buy decisions for critical platform components
Leadership & Influence
- Proven ability to drive large cross-company technical programs requiring coordination across multiple engineering organizations
- Experience working with VPs and executives to set and execute technical strategy
- Track record of influencing technical direction without direct authority—building consensus across teams with different priorities
- Strong communication skills with ability to present to executives, influence leadership, and drive alignment at all levels
- Experience mentoring senior engineers and developing technical leadership
PREFERRED
- Experience at developer tools, infrastructure software, or B2B SaaS companies at significant scale
- Background with container technologies, Docker, Kubernetes, or developer productivity platforms
- Track record of successfully migrating legacy systems while maintaining business continuity
- Knowledge of Financial Operations and infrastructure cost optimization at scale
- Advanced degree in Computer Science, Engineering, or related technical field
- External recognition as a technical leader (conference speaking, publications, open source contributions)
KEY SUCCESS METRICS
Platform Leverage & Velocity
- Product teams can launch enterprise-ready features in <2 weeks (vs. 6+ months today) by leveraging platform capabilities
- Docker teams rapidly adopt new capabilities within 2 months of release (vs. 6+ months today)
Technical Excellence
- Platform systems achieve 99.9%+ uptime for business-critical workflows
- Infrastructure platform reduces deployment time for new services from 2-4 weeks to <1 day
Organizational Impact
- Recognized across Docker as the definitive technical authority on internal architecture
- Successfully drive convergence of fragmented systems, reducing technical debt and operational burden
- Develop multiple Staff and Principal engineers who can own major platform domains
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $219K – $352K base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Hybrid - EMEA
About the Job:
We’re looking for a driven, customer-focused sales professional to join our Corporate Account Executive team at LaunchDarkly. In this role, you’ll manage the full sales cycle, partnering with sales leadership, solutions engineers, and cross-functional teams to guide corporate customers across EMEA through evaluation, purchase, and successful adoption of LaunchDarkly.
If you thrive in a fast-paced, consultative sales environment, have experience selling to small and mid-sized companies, and are eager to make an impact, we’d love to meet you.
Responsibilities:
Outbound Pipeline Development.
Proactively prospect into and qualify ICP target accounts across the EMEA region.
Discovery & Value Alignment.
Lead discovery sessions to understand customer goals and challenges. Articulate LaunchDarkly’s core use cases and demonstrate the value of our usage-based pricing model.
Solution Presentation & Demos.
Partner with Solutions Engineers to customise and deliver impactful demos. Lead proofs of concept that showcase measurable value to customers.
Customer Relationship Management.
Build strong relationships with prospects and existing customers. Identify and develop new opportunities within existing accounts. Educate and guide customers through the adoption of LaunchDarkly.
Collaboration & Enablement.
Work closely with internal teams, including customer success, support, and product to ensure customer needs are met. Deliver customer insights and feedback to influence product direction.
Forecasting & Reporting.
Maintain accurate data in Salesforce and sales tools. Provide consistent, reliable forecasting on a weekly and monthly basis. Meet or exceed quarterly revenue targets.
About You:
Proven Sales Success.
Strong track record of exceeding quota in a SaaS sales environment.
Consultative Selling Skills.
Skilled in running discovery, managing multiple stakeholders, and selling value-based solutions.
Self-Starter & Organized.
Highly motivated, disciplined, and able to manage multiple priorities independently.
Customer-Centric Mindset.
Passionate about understanding customer challenges and delivering solutions that drive outcomes.
Collaborative & Curious.
Team-oriented, intellectually curious, and eager to grow your career at LaunchDarkly.
Qualifications:
1+ years of success in a closing role within SaaS sales. (Or, have a proven track record of hitting or exceeding quota)
Experience selling to corporate or SMB customers.
Technical Aptitude.
Familiar with cloud environments (AWS, Azure, GCP) and comfortable discussing technical architectures. Familiarity with developer tools or DevOps solutions is a plus.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
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
Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.
This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.
Key responsibilities
Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
Identify and remove the bottlenecks between "we want this data" and "it's in the training mix".
Minimum qualifications
Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
Experience designing and operating backend services and data pipelines that other teams depend on.
A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
Effective use of AI tools in your own day-to-day work.
Care about the societal impacts of your work.
Preferred qualifications
Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling.
Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.
Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
Experience running experiments on data collection interfaces and using the results to improve data quality.
Experience working with crowdworker or expert vendor platforms at scale.
Familiarity with how LLMs are trained and evaluated.
Representative projects
Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format.
Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators.
Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code.
Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically.
Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London; United Kingdom
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: Aarhus Office
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers.
In this role, you'll:
- Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day
- Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more
- Own and scale a high-performance services on AWS that handle thousands of requests per second
- Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices
- Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains
- Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges
- Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration
We're looking for candidates who have:
- Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP
- A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level
- The ability to align technical execution with product and design partners, with a strong bias to ship and iterate
- Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages!
- A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles
- Great pride from taking ownership of product ideas from inception through to production
- Good understanding of both frontend and backend best practices and paradigms.
- Integrated AI impactfully in customer-facing products or engineering infrastructure
You might also have:
- Experience with AI-friendly and driven systems
- Exposure to or interest in the cryptocurrency technology ecosystem
- Terraform and Kubernetes knowledge
Technologies we use:
- Java (Spring Boot)
- Typescript (React, Angular)
- Kafka (Warpstream)
- K8S
- Terraform
- PostgreSQL
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Poland; Portugal; Ireland; Germany
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of €105,000 to €125,000
- Equity in an early-stage tech company on an incredible trajectory
- Apple hardware
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
- Location specific benefits
nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland
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