Location: Fully remote (any location) or hybrid (Berlin or Lisbon office). Permanent employment contract (Germany or Portugal) or contract-based collaboration.
Company: German pharmacy marketplace founded in 2021, enabling users to order health products from multiple pharmacies with low prices and fast delivery.
What you will do:
— Develop and evolve frontend architecture for user-facing product areas
— Build reliable, scalable, and maintainable web interfaces
— Design client-side integrations with backend services and APIs
— Improve product flows across key user journeys
— Participate in product discussions, feature design, and experiment launches
— Work closely with product managers, designers, QA, analysts, backend, and mobile developers
— Maintain and improve code quality, performance, accessibility, and automated tests
Requirements:
— Strong experience with frontend development using JavaScript and TypeScript
— Solid experience with React and modern frontend architecture
— Experience with Next.js, SSR, and SPA architecture
— Experience working with REST APIs and client-server applications
— Experience with state management and data-fetching tools such as Redux, Effector, or React Query
— Ability to design maintainable architecture and make pragmatic technical decisions
— Product-oriented engineering mindset: understand user problems, think beyond implementation, contribute to product decisions
Nice to have:
— Experience with iOS or Android development
— Interest in growing as a T-shaped engineer across web and mobile platforms
— Professional use of AI coding tools such as Cursor, Claude Code, or similar
— Ability to evaluate AI-assisted workflows
Culture & Benefits:
— Fully remote or hybrid format (Berlin or Lisbon office)
— Permanent employment contract (Germany or Portugal) or contract-based collaboration (full-time)
— Transparent growth framework with defined expectations and aligned goals
— Agile, rapidly growing team using latest technology and AI in engineering workflows
Location: Dammam, Saudi Arabia
Eram Talent is seeking an experienced CRM & Automation Senior Specialist to join our team in Saudi Arabia. In this role, you will be responsible for managing and enhancing customer relationship management (CRM) systems and implementing automation solutions that drive operational efficiency and improve customer engagement.
The CRM & Automation Senior Specialist is responsible for managing and optimizing the organization's CRM ecosystem, customer database, and marketing automation capabilities to drive effective lead management, customer engagement, conversion optimization, and business performance. The role plays a critical part in designing and enhancing lead management processes, developing automated customer journeys, and providing actionable insights through analytics and reporting.
Key Responsibilities
Manage and optimize CRM platforms to improve user experience and data accuracy
Develop and implement automation strategies to streamline business processes
Collaborate with stakeholders to gather requirements and translate them into technical solutions
Monitor system performance and troubleshoot issues promptly
Train users and provide ongoing support for CRM and automation tools
Stay updated with the latest trends and technologies in CRM and business automation
Requirements
Bachelor’s degree in Marketing, Business Administration, Information Systems, Data Analytics, or a related field.
6–8 years of experience in CRM management, marketing automation, customer lifecycle management, or related disciplines.
Proven experience working with CRM platforms and marketing automation tools.
Experience in lead management, customer segmentation, campaign automation, and performance analytics.
Strong understanding of customer acquisition funnels, conversion optimization, and digital customer engagement.
About Mistral:
At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore.
Role Summary:
Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions.
Responsibilities:
— Define and evangelize product strategy for Forge aligned with company goals and market opportunities
— Lead market and UX research to identify unmet needs and trends in AI post-training capabilities
— Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience
— Collaborate with design and research to create intuitive, impactful user experiences using data and feedback
— Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption
— Align engineering, design, and business teams on priorities, trade-offs, and timelines
— Maintain a dynamic roadmap delivering quick wins and long-term goals
Requirements:
— 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions
— Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures
— Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving
— Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud)
— Familiarity with Kubernetes/Slurm is a strong plus
— User-focused with data-driven problem solving
— Proven cross-functional influence without direct authority
— Strong communication skills to explain complex technical concepts clearly
— Adaptability to dynamic priorities
— Collaborative, low ego, high emotional intelligence
— Self-directed with ownership of outcomes
Preferred:
— Strong knowledge of model training and architectures
— Proficient coding skills recommended
— Kubernetes expertise recommended
— Experience with product-led growth strategies
— Founder or early-stage PM experience
— Ability to prototype or dive into code
Location & Work Format:
— Based in Paris, France or London, UK offices
— Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy
— Encouraged to work in office at least 3 days per week
Conditions:
— Competitive salary and equity (stock options)
— Health insurance
— Transportation allowance
— Sport allowance
— Meal vouchers
— Private pension plan
— Generous parental leave
— Visa sponsorship
Location: India (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are looking for experienced professionals to support a cutting-edge AI benchmarking project focused on highly specific professional silos. Candidates will need demonstrable background or academic exposure in at least one of these verticals:
- Highly Technical / Quantitative: Software Eng., Mathematics, Robotics.
- Scientific / Regulatory: Healthcare (clinical parameters), Natural Science (chemistry/physics datasets), Manufacturing (industrial systems, CAD, optimization).
- Corporate / Creative: Finance, Media & Content, Office & White Collar.
The ideal candidate is not a traditional translator. They are a Technical Subject Matter Expert (SME) / AI Engineerwho has localized fluency in one of the target languages. They must be capable of understanding, refactoring, and verifying code execution within a sandboxed environment, while simultaneously possessing deep contextual domain knowledge.
WHAT YOU’LL DELIVER
- Design realistic scenarios in your target language or English grounded in operational contexts
- Adapt structured evaluation rubrics
- Review AI and human-generated responses for factual accuracy, quality, cultural appropriateness, and operational realism
- Contribute to “gold standard” solutions reflecting best practices across the target locale and domain
QUALIFICATIONS
- Native-level of the target language with strong professional English proficiency
- 5+ years of professional experience in the target domain
- Background in one or more relevant to the domain positions
- Strong understanding of domain workflows and environments
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain.
Step 2: Register in Tipalti to ensure a smooth payment process
Step 3: Finalize onboarding and join the Production team
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly.
We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.
You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.
This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across
Claude.ai
, Claude Code, and API.
Responsibilities
Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale
Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt
Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities
Shape the roadmap with product and design, not just execute against it
Drive the compliance and platform-readiness work your customers require, partnering with security and legal
Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team
Minimum qualifications
4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools
Are comfortable executing at a fast pace to meet the expectations of our customers
Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable
Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth
Preferred qualifications
Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools
Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements
Experience building integrations, permissions, billing, or pricing infrastructure
Familiarity with data residency and sovereignty requirements across global regions
Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment
Experience in working with research to improve domain specific model capabilities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week).
Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery.
What you will do:
— Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems.
— Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems.
— Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance.
— Implement observability, monitoring, and cost visibility for LLM and agent workloads.
— Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem.
— Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale.
Requirements:
— Proven experience shipping LLM-powered systems or AI agents into production.
— 4+ years of experience in production machine learning infrastructure, specifically involving LLMs.
— Strong programming skills in Python with experience building scalable backend services.
— Experience with Cloud platforms, ideally AWS or GCP.
— Strong communication skills and ability to work collaboratively in cross-functional teams.
Nice to have:
— Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow.
— Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex.
— Experience with ML frameworks such as Hugging Face or PyTorch.
Culture & Benefits:
— Hybrid working model with 2 days a week in the Berlin campus.
— 27 days of holiday, increasing with years of service.
— €1,000 Educational Budget, language courses, and access to Udemy Business.
— Health checkups, meditation, and gym/bicycle subsidies.
— Employee Share Purchase Plan, corporate pension plan, and life/accident insurance.
— Relocation support and dedicated relocation hub for moving to Berlin.
ГибридseniorSENIOR ML ENGINEER (AI) | RELOCATION TO BERLIN | DELIVERY HERO | #relocation to #berlin #germany #fulltime #itjob #ML #AI https://teletype.in/@courierus/8i6Uu9JdX2V; RELOCATION TO BERLIN Location: Hybrid (Berlin, Germany); Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week); Relocation support and dedicated relocation hub for moving to Berlin
Location: Washington, District of Columbia, United States
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance.
This position is contingent upon award.
Responsibilities
Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring
Collect, validate, and manage quarterly program data to support performance tracking
Develop data analysis and visualization products to report on implementation progress
Train stakeholders, including country offices and implementing partners, on monitoring tools and systems
Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities
Support design, refinement, and implementation of evaluation tools and methodologies
Coordinate evaluation activities across program stakeholders
Conduct data collection, analysis, and synthesis to support evaluation efforts
Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations
Support dissemination and archiving of evaluation products
Support preparation of project status reports aligned with program work plans and reporting requirements
Assist in development of presentations, briefings, and other communication products for stakeholders
Collaborate with CDC staff, implementing partners, and global stakeholders
Ensure compliance with federal reporting requirements and data collection standards
Support continuous improvement of monitoring, evaluation, and learning processes across DGHP
Qualifications
Master’s degree in Public Health, Epidemiology, Global Health, or a related field
Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research
At least 2 years of experience in global health security or related international public health programs
Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities
Experience with data collection systems, database management, and analytical tools
Strong analytical, writing, and communication skills, including preparation of technical reports and presentations
Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment
Preferred Qualifications
Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives
Experience working with CDC or similar public health agencies
Experience delivering technical assistance in international settings
Proficiency in data visualization, reporting tools, and dashboard development
Experience training diverse audiences and facilitating stakeholder engagement
Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research
, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs.
Dexis pay range for this role:
$80,000
—
$130,000 USD
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Remote - Canada
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team.
About the job
Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance team for Senders and Numbers. Twilio has numerous different types of Senders and Numbers, which are the gateway to accessing all of Twilio’s communication APIs. It is crucial for customers accessing Senders and Numbers to properly register in accordance with local telecommunications regulations, but we also need to make it easy for customers to gain access. In this role, you will own various Senders and Numbers products where you will aim to create streamlined and lovable onboarding experiences while also maintaining best in class compliance standards.
Responsibilities
In this role, you’ll:
Collect and develop business requirements and collaborate with engineering teams to translate these requirements into user stories
Partner with cross functional stakeholders to drive product planning, design, execution, and delivery of product investments against defined success metrics
Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap
Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth
Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS
Proven track record of leading successful product launches and driving product strategies
Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes
Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders
Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals
Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges
Experience with the cloud, APIs, communications, and/or enterprise software
Bachelor in Computer Science, Engineering, or equivalent practical experience
Desired:
Experience building products/services related to APIs, developer experience
Experience working in a regulated ecosystem
Location
This role will be remote and based in Ontario, British Columbia or Alberta, Canada.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
The estimated pay ranges for this role are as follows:
Based in British Columbia. : $145,840.00 - $
182,300.00
Target Bonus Percentage 15%
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until
October 12, 2026,
but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software.
This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort.
This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping.
Key responsibilities
Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms
Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology
Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware
Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution
Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them
Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt
Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount
Minimum qualifications
8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team
Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization
Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems)
Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others
A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity
Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure
Strong written and verbal communication, and the ability to influence technical direction without formal authority
Preferred qualifications
Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale
Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows
Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware
Familiarity with Kubernetes-based development and job scheduling environments
Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Мы Karta.io — FinTech (B2C, B2B) платформа с виртуальными картами высокого траста и собственной крипто-инфраструктурой. Карта выпускается за секунды, работает в 150+ гео, пополняется из любого крипто-кошелька. Мы 3+ года на рынке, распределённая команда 30+ человек по всему миру, без микроменеджмента.
Ищем первого Founding Mobile Engineer / Mobile Lead — человека, который возьмёт ownership над мобильным направлением с нуля и вырастит его в self-sufficient команду.
Почему у нас интересно:
Zero-to-one : нет legacy-кода мобильного приложения, но есть работающий продукт в TMA. Нужно перенести функциональность и развивать новую параллельно
AI First : мы не адаптируем AI под процесс — мы строим процесс под AI. Mobile Lead станет ключевым архитектором этого подхода в компании
Работа напрямую с C-Level
Что предстоит делать:
Выбрать и обосновать технологический стек (React Native или Flutter) — твоё решение, ты его защищаешь
Перенести функциональность из Telegram Mini App в нативное iOS + Android-приложение
Выстроить архитектуру, CI/CD, релизные процессы
Нанять и вырастить команду 1–2 человека: код-ревью, онбординг, менторство
Работать в связке с Product, Design, Backend, QA, CTO при запуске сценариев: карты, KYC, on/off-ramp, Apple/Google Pay
Внедрять и поддкрживать AI-first процесс разработки
Что для нас важно:
4+ лет коммерческой mobile-разработки с ответственностью за архитектуру
Опыт в fintech, crypto wallet или neobank
Понимание security в финтех-контексте: знаешь угрозы мобильных финтех-приложений и закрывал их на уровне реализации — secure storage, biometrics, certificate pinning
Опыт построения или развития mobile-команды (1–2 человека → self-sufficient unit)
Опыт выбора стека и защиты решений перед техническим руководством
AI Coding Tools в ежедневной практике + готовность лидировать эти процессы на уровне команды
Английский — письменная коммуникация без барьеров
Будет плюсом:
Опыт с self-custody / non-custodial wallet
Масштабирование приложения до 100k+ MAU
Знание PCI DSS / GDPR на практике
AppsFlyer / Adjust
Что мы предлагаем:
Зарплату на уровне рынка в USDT или $ (Deel)
Комфортную удалёнку из любой точки мира (основная тайм-зона GMT+3 до GMT+8)
Живая, быстрорастущая среда, где можно реализовать собственные идеи
Оплачиваемый отпуск 28 календарных дней в году и выходные в праздничные дни
Прямая работа с CTO
Процесс Отклик → HR-скрининг (45 мин) → Tech interview → Final → Оффер
УдалённоleadMobile Lead станет ключевым архитектором этого подхода в компании Работа напрямую с C-Level Что предстоит делать: Выбрать и обосновать технологический стек (React Native или Flutter) — твоё решение, ты его защищаешь Перенести функциональность из Telegram Mini App в нативное iOS + Android-приложение Выстроить архитектуру, CI/CD, релизные процессы Нанять и вырастить команду 1–2 человека: код-ревью, онбординг, менторство Работать в связке с Product, Design, Backend, QA, CTO при запуске сценариев: карты, KYC, on/off-ramp, Apple/Google Pay Внедрять и поддкрживать AI-first процесс разработки Что для нас важно: 4+ лет коммерческой mobile-разработки с ответственностью за архитектуру Опыт в fintech, crypto wallet или neobank Понимание security в финтех-контексте: знаешь угрозы мобильных финтех-приложений и закрывал их на уровне реализации — secure storage, biometrics, certificate pinning Опыт построения или развития mobile-команды (1–2 человека → self-sufficient unit) Опыт выбора стека и защиты решений перед техническим руководством AI Coding Tools в ежедневной практике + готовность лидировать эти процессы на уровне команды Английский — письменная коммуникация без барьеров Будет плюсом: Опыт с self-custody / non-custodial wallet Масштабирование приложения до 100k+ MAU Знание PCI DSS / GDPR на практике AppsFlyer / Adjust Что мы предлагаем: Зарплату на уровне рынка в USDT или $ (Deel) Комфортную удалёнку из любой точки мира (основная тайм-зона GMT+3 до GMT+8) Живая, быстрорастущая среда, где можно реализовать собственные идеи Оплачиваемый отпуск 28 календарных дней в году и выходные в праздничные дни Прямая работа с CTO Процесс Отклик → HR-скрининг (45 мин) → Tech interview → Final → Оффер CONTACT https://t.me/s_zhark
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The mission of the Engineering TPM team is to drive Figma's most important cross-company engineering efforts, and we are looking for a Technical Program Manager (TPM) to partner with our Infrastructure team. The TPM provides oversight of the most important efforts that require coordinated technical execution across the Org to succeed. This is a role focused on enabling Figma's infrastructure teams to scale, improve performance, and deliver on critical projects. These large-scale efforts will involve collaboration across numerous backend, infrastructure, and security teams and cross-functional stakeholders, prioritization, decision-making, tracking execution, and driving operational excellence. We're looking for someone that can work in a TPM greenspace environment and is passionate about people, technology, and program management. Progress over process is our mantra.
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Lead the execution, coordination, and risk management of Figma's infrastructure projects, ensuring seamless integration with minimal performance impact
Drive key infrastructure initiatives, including reliability, storage, distributed systems, cloud-native performance improvements, and compliance programs (e.g., encryption key management, FedRAMP, SOC 2)
Partner closely with engineering, security, compliance, and legal teams to ensure alignment and on-time delivery
Track program milestones and ensure seamless delivery across multiple infrastructure teams, including data, caching, observability, and security engineering
Provide regular updates to executive leadership, external partners, and internal teams on the status of infrastructure programs, including risks, blockers, and dependencies
Develop and drive best practices in infrastructure program management, improving visibility into progress, risks, and technical dependencies
Facilitate large-scale testing and rollout strategies for critical infrastructure changes to minimize downtime and ensure high system reliability
Translate technical constraints and risks into executive-level communications for senior leadership and external stakeholders
We’d love to hear from you if you have:
8+ years in Infrastructure TPM or related roles (cloud engineering, SRE, or infra-focused software engineering), with hands-on experience in cloud-native architectures and distributed systems (AWS, GCP, or similar)
Deep technical expertise across infrastructure components - storage (S3, RDS, DynamoDB), caching (Redis), search (OpenSearch), and event-driven systems (Kafka) - with the ability to reason across org-level goals, architectural trade-offs, and component-level details
Track record driving large-scale infrastructure programs such as migrations, cost optimization, encryption/key management, and reliability initiatives for high-availability, business-critical services
Strong cross-functional program management skills, including coordinating multi-team engineering orgs, tracking performance bottlenecks, optimizing infrastructure SLAs, and establishing PM best practices in ambiguous environments
Proven stakeholder management, with experience engaging external partners (cloud providers, enterprise customers) and translating complex technical challenges into clear executive-level communications
While it’s not required, it’s an added plus if you also have:
A track record of setting up and scaling TPM functions or program management practices within an engineering organization
Experience working on high-visibility enterprise security and compliance programs (SOC 2, FedRAMP, encryption key management)
Infrastructure incident management and analysis experience
Experience working with external enterprise partners on technical programs (e.g., Apple, AWS, Google)
Background in software engineering or site reliability engineering (SWE/SRE-to-TPM career path)
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$185,000
—
$317,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon
Workplace: Remote
ROLE SUMMARY
The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.
WHAT YOU'LL DO
- Be a keen learner:
- At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases.
- Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning.
- Be a passionate problem solver:
- If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role.
- As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users.
- You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale.
- Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way!
- Be a great communicator:
- As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability.
- Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test).
- You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales.
WHAT YOU'LL BRING
- Reside within the Pacific time zone (United States)
- 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript.
- Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker).
- Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues.
- Minimum of one year experience in an internal or external customer-facing role.
- Passion for helping others regardless of who they are or how they act.
- Experience working with or as part of remote teams.
- Strong written and verbal communication skills.
- Seek to understand first, lead with data, and rely on facts.
NICE TO HAVE
- Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc.
- Experience with security certificate management and implementation.
- Ability to understand use cases and translate them into Temporal design decisions and architecture best practices.
- Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
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
Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference).
Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture.
Responsibilities
Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution
Run multiple large programs simultaneously across infrastructure, networking, and the API layer
Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end
Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view
Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence
You may be a good fit if you
Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs
Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them
Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost
Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level
Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear
Have excellent written and verbal communication skills, with the ability to influence without authority
Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably
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:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Los Angeles, United States
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Manufacturing Engineer – Effectors
An advanced aerospace and defense technology company is seeking a hands-on Manufacturing Engineer to help scale next-generation interceptor and autonomous defense systems from prototype development into high-rate production.
This role sits at the intersection of product engineering, manufacturing strategy, and production execution. The ideal candidate will bring strong Design for Manufacturing & Assembly (DFMA) experience, a deep understanding of producibility, and practical experience scaling hardware from low-volume development into repeatable, cost-optimized manufacturing environments.
This is a highly collaborative and hands-on position for someone who enjoys working directly with hardware, influencing design decisions early, and helping build manufacturing capability from the ground up.
Responsibilities
Design for Manufacturing & Assembly (DFMA)
Lead DFMA reviews throughout concept development, design reviews, prototyping, and production readiness phases
Influence hardware designs for manufacturability, scalability, cost efficiency, and assembly optimization
Evaluate tolerance stack-ups, GD&T strategies, joining methods, and assembly flow
Help simplify part counts, interfaces, fastener strategies, and production processes
Develop assembly sequencing approaches optimized for throughput and takt time
Support material and process selection decisions with a focus on scalable production
Producibility & Production Engineering
Perform producibility assessments, process capability evaluations, and yield analysis
Develop manufacturing plans, work instructions, routing flows, and MBOM structures
Support make-versus-buy decisions alongside supply chain and operations teams
Identify tooling, fixture, and capital equipment requirements needed for scale-up
Analyze bottlenecks, cycle times, and production rate sensitivities
Drive process improvements focused on throughput, quality, and cost reduction
Prototype & Transition-to-Production Support
Support manual prototype builds, assembly activities, and early production efforts
Provide hands-on troubleshooting support during pilot builds and ramp activities
Participate in root cause investigations and corrective action implementation
Support First Article Inspection (FAI), qualification efforts, and production validation
Collaborate closely with design, quality, supply chain, and test engineering teams
Assist with supplier readiness, manufacturing transfers, and production scaling initiatives
Continuous Improvement & Factory Scaling
Develop scalable manufacturing strategies for high-rate production environments
Implement automation, poka-yoke, and error-proofing concepts where appropriate
Support MES, ERP, and PLM manufacturing workflows
Analyze yield, cost, rework, and throughput metrics to improve manufacturing performance
Help establish long-term production infrastructure and scalable manufacturing operations
Qualifications
Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related STEM field
5+ years of experience in aerospace, defense, automotive, robotics, semiconductor, or other high-rate manufacturing environments
Strong DFMA and producibility engineering experience
Experience transitioning hardware from development/prototype phases into production
Working knowledge of:
GD&T (ASME Y14.5)
Tolerance stack-up analysis
Manufacturing process capability concepts (Cp/Cpk)
Root cause methodologies (8D, RCCA, Fishbone, etc.)
Experience developing:
Manufacturing documentation
MBOMs
Work instructions
Process flows
Production routing sequences
Proficiency with CAD tools such as SolidWorks, Creo, CATIA, or similar
Ability to work hands-on in fast-paced development and production environments
U.S. citizenship required; ability to obtain and maintain a DoD security clearance required
Preferred Experience
Missile, interceptor, UAV, autonomous system, or aerospace hardware manufacturing
High-rate production scaling experience (100k+ units/year environments strongly valued)
Startup or greenfield manufacturing build-out experience
Automated assembly systems or robotics integration
Composites, harness integration, or electromechanical assembly experience
Experience with PLM, MES, or ERP manufacturing systems
Experience conducting Manufacturing Readiness Level (MRL) assessments
Exposure to contract manufacturing, supplier industrialization, or production transfer activities
What Makes This Opportunity Unique
This role offers the opportunity to help build a manufacturing capability from the ground up inside a rapidly scaling aerospace and defense environment.
The team is looking for engineers who can bridge product development and manufacturing execution — people who understand not only how to design hardware, but also how to build it efficiently, repeatedly, and at scale.
You’ll have significant ownership early, working directly with prototype hardware today while helping shape long-term production strategy for future high-rate manufacturing operations.
Additional Information
Competitive compensation and equity package
Comprehensive healthcare coverage
401(k) matching
PTO flexibility
Relocation assistance may be available
Full-time onsite collaboration environment
U.S. citizenship required due to security and export control requirements
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
To learn more or express interest, connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Salary: $110,000 – $160,000 / year
Location: Hybrid - Riyadh, Saudi Arabia
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own.
What you will do:
You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three.
Your Skills and Experience:
Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you.
Key Competencies:
Fluent in ≥2 languages, honest about tradeoffs
You debug by understanding, not by guessing
Grit: you start hard things and finish them
Curiosity you genuinely can’t switch off
Low ego, extremely high standards
You write code the next engineer respects
Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design
MinIO Engineering Culture:
All leads, architects and ICs — no managers
Full ownership from day one, no permission
needed
Decisions made by the people doing the work
Craftsmanship is a first-class engineering
concern
No sprints. No standups. No Jira.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Czech Republic; Poland; Romania; Portugal
Workplace: remote
About airSlate
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.
At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
About SignNow team
We are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution, SignNow.
SignNow empowers over 28 million people at companies across the world to move fast with everything they need to send and eSign their documents. Increase productivity with document workflows, impress customers, and save money while maximizing ROI with SignNow.
About the role:
As a Principal Product Manager, Core Agreement Features, you will own and evolve the user-facing experiences at the heart of SignNow’s agreement execution journey. You will identify the biggest user pain points in core flows, simplify complex tasks through excellent UX, and use AI capabilities where they meaningfully improve clarity, confidence, and time-to-completion.
A key part of this role is helping users succeed in high-stakes moments where they may not fully understand what is required from a compliance perspective. You will design product experiences that guide users toward the right actions, reduce risk, and increase trust, without overwhelming them.
This role is highly outcome-driven. You will define hypotheses, run A/B tests, and drive measurable business impact. You will collaborate closely with engineering, design, analytics, support, sales, and marketing, and operate with high ownership and independence.
What you will be working on:
Core user journeys.
Own and improve core agreement execution flows, ensuring they are intuitive, fast, and reliable.
User problem discovery.
Deeply understand user pain points through research, support insights, and behavioral data, then translate them into clear problem statements and priorities.
UX simplification.
Turn complicated tasks into simple, guided experiences through UX, product design patterns, and smart defaults.
AI-powered assistance.
Identify opportunities to use AI to reduce friction and improve user confidence, especially in moments where users are unsure what is required. Define guardrails and fallback behavior to maintain trust.
Compliance-guided UX.
Build product guidance that helps users make correct decisions in compliance-sensitive contexts, even when users are uncertain about what “right” looks like.
Experimentation and optimization.
Drive measurable business outcomes through A/B testing and iterative improvements. Define hypotheses, success metrics, and clear decisions based on results.
Cross-functional execution.
Partner closely with engineering and design to deliver high-quality features, and collaborate with support, sales, and marketing to ensure strong adoption and customer outcomes.
Metrics and reporting.
Define and track KPIs, monitor funnel performance, and build learning loops that continuously improve the product.
What we expect from you:
5+ years of product management experience building user-facing B2B or B2C SaaS products.
Strong product craft and UX judgment, with a proven ability to simplify complex user journeys.
Deep user empathy and a consistent problem-solving approach, you start from user needs and outcomes, not feature delivery.
Experience building and optimizing end-to-end user flows, including onboarding, key task completion, and self-serve experiences.
Strong experimentation skills, including designing and executing A/B tests, interpreting results, and turning insights into impact.
Data-driven decision-making skills, comfortable defining metrics, building dashboards, and using qualitative and quantitative inputs.
Good intuition for where AI adds value in user-facing flows, and where it does not, including practical tradeoffs around quality, risk, and user trust.
Excellent communication skills, able to align teams and stakeholders across product, engineering, design, data, support, sales, and marketing.
Ownership mindset, bias for action, and comfort operating with ambiguity and multiple stakeholders.
Ready to shape a product used by millions? We’d love to hear from you!
What we offer
Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
Read our Recruitment Privacy Notice to Learn how we process your personal information.
Location: Singapore
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
- Proficiency in Mandarin is required to support interactions with Mandarin speaking clients.
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior Test Automation Developer
- Location: Espoo, Finland
- Department: Release Engineering
- Reports to: Release Engineering Manager
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
Testing and environment reliability are often the hidden tax on engineering velocity - slow feedback, flaky environments, and manual processes that quietly drain team capacity. This role exists to systematically remove that toil. By bringing an automation-first mindset to everything from test coverage to environment management, this engineer keeps feedback fast, releases stable, and quality high. They don't just maintain the testing discipline - they elevate it, coaching teams and building the kind of automated foundations that let engineering move with confidence. The result is less time fighting fires, more time shipping.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Dig into system behaviour, risks, and release goals to work out what genuinely needs testing - and what doesn't
- Define test goals, scope, and strategies across component, integration, and system levels
- Own the reliability of release-critical environments and satellite test assets, keeping them stable through automation
- Design, write, and maintain automated and manual tests, building test frameworks to production-code standards
- Get hands-on with the system - exploring, validating, and challenging behaviour in areas that matter most to releases
- Guide and enable engineering teams on what to test, why it matters, and how to do it well
- Continuously sharpen test strategies and automation based on real outcomes, defects, and release feedback
WHAT WE’RE LOOKING FOR
Must haves:
- Five or more years of recent hands-on experience in test automation, building and maintaining test frameworks
- Strong, production-quality coding ability in [primary language(s), e.g. Python / Java / C++]
- Track record of owning test strategy and deciding what to test across component, integration, and system levels
- Hands-on experience making complex, production-like test environments reliable through automation
- A bias to action: spots manual or fragile work and automates it fast, without waiting for perfect process
Nice to haves:
- Exposure to specialist testing types such as performance, security, or hardware / hardware-in-the-loop testing
- Experience mentoring engineers or acting as a technical lead on testing
- Experience with observability or self-service tooling for test environments
APPLICATION PROCESS
- Recruiter Interview
- Hiring Manager Interview
- Technical Task
- Technical Interview
- Final Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
ГибридseniorParis; SENIOR PRODUCT MANAGER AI | RELOCATION TO FRANCE | MISTRAL AI | #relocation to #france #fulltime #itjob #product #ai https://teletype.in/@courierus/j17jQ-wBeNk; RELOCATION TO FRANCE (VISA SPONSORSHIP) | MISTRAL AI Senior Product Manager - AI Model Development About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, time, and enhance learning and creativity
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УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
San Francisco, CA • New York, NY • United States
УдалённоseniorUnited States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon; Reside within the Pacific time zone (United States)
San Francisco, CA | Seattle, WA
Los Angeles, United States; Relocation assistance may be available