Location: Paris, France
Workplace: Hybrid
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The team:
To support our continued growth, we’re hiring an Engineering Manager to join the Wallet Experience business unit. You’ll work directly with the Engineering Director and lead high-performing teams that deliver core features across our top-rated native applications. This is a hands-on leadership role: you’ll shape the product experience millions of users rely on every day and help define how a modern engineering team builds with AI.
What you’ll be doing:
Management
- Lead your team and meet regularly with your direct reports to give frequent, actionable feedback.
- Drive recruitment, performance assessments, training and career development for your team.
- Help each person set clear goals and improve their practices, supporting their growth and our retention goals.
- Build AI fluency in your team: coach engineers to use AI tools well, share what works, and make AI-assisted development part of how they grow.
Tech
- Drive projects end to end, applying best-in-class engineering practices: clean architecture, strong test coverage, code review and observability.
- Lead the adoption of AI across the development lifecycle, from coding agents and AI-assisted reviews to test generation and automated workflows. Set clear guardrails for quality, security and privacy.
- Participate in sprint delivery, monitor engineering metrics, and be accountable for the quality of what ships.
- Bring forward innovative solutions and encourage innovative thinking from others, including new ways AI can remove toil and speed up delivery.
Delivery & Impact
- Work closely with Delivery Managers, Product Owners and Designers to assess feasibility, give technical recommendations, and help with estimation and planning.
- Focus the team on outcomes, not output: tie work to user and business impact, and measure it.
- Delegate effectively so work is completed as specified, without micromanaging.
- Set clear expectations and make sure practices are followed to meet Ledger’s quality bar.
Leadership & Communication
- Bring a positive “can do” attitude and be a role model for others.
- Communicate proactively and be a well-identified point of contact for other teams.
- Track progress, risks and issues, and communicate them to the right stakeholders.
- Champion a culture of continuous improvement, where the team regularly reviews and raises its own standards.
What we’re looking for:
- 3+ years of experience managing engineering teams.
- Strong experience in React.js development, tools and libraries.
- Good knowledge of browsers and web APIs.
- Knowledge of React Native is appreciated.
- Hands-on experience using AI tools in software development (e.g. coding assistants or agents), and a clear view of how to adopt them responsibly at team level.
- A track record of raising engineering standards and delivering measurable impact.
- Experience with CI/CD and building deployment pipelines is a plus.
- Knowledge of UI/UX practices in software development.
- A team-player mindset, excellent interpersonal skills and the ability to work cross-functionally.
- Enthusiasm for hiring and developing people.
- Willingness to build skills in the Web3 industry.
At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:
- Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
- Health & Wellness support - Health and Life Insurance.
- Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
- Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.
- Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Location: Paris
Workplace: Hybrid
WHY THIS ROLE EXISTS
At Pennylane, Growth Operations is crucial in transforming prospect data and marketing processes into an automated, reliable, and scalable growth engine.
We are hiring a Growth Operations to join our Growth team and work at the intersection of business, data, automation, and AI. Your mission: enhance how we identify, enrich, and activate prospects while building tools that boost Marketing and Sales efficiency.
You will also contribute to AI adoption by identifying use cases, creating agents and workflows, testing new tools, and empowering teams to use them effectively.
🌍 WHAT IS PENNYLANE?
Pennylane is one of France's leading fintech unicorns, creating the financial and accounting operating system for European SMEs and accounting firms.
Founded in 2020, we empower business owners to make better decisions and enable accountants to focus on client advisory.
A few figures to illustrate our scale and ambition:
- 💻 1.3 million+ SMEs already work with Pennylane.
- 🤝 7,000+ accounting firms use our platform.
- 👨👩👧👦 1,100+ Pennylaners representing over 25 nationalities.
- 💰 €400 million+ raised since launch.
- 🌍 Remote-friendly, international culture as we expand across Europe.
WHAT YOU’LL DO
As part of our Growth team, you'll closely collaborate with Marketing, Sales, Product Marketing, Operations, and Product.
BUILD SCALABLE AUTOMATION WORKFLOWS
- Design and maintain complex workflows using n8n
- Automate prospect scraping, enrichment, scoring, and activation
- Identify CRM bottlenecks and replace manual processes with scalable solutions
- Connect our data warehouse with Salesforce to generate opportunities and provide actionable insights to Sales
TURN DATA INTO GROWTH
- Improve prospect database quality and usability
- Build tools to help Marketing and Sales generate and activate qualified leads
- Support acquisition initiatives: outbound, events, partnerships
- Monitor project impact on lead generation, conversion, and efficiency
DRIVE AI ADOPTION
- Identify valuable AI use cases for Growth, Marketing, and Sales
- Create agents, skills, and reusable workflows
- Experiment with tools like Dust, Cursor, and Claude Code
- Support adoption via training, documentation, and pilot programs
CONNECT AND OPTIMISE OUR STACK
- Integrate tools such as Salesforce, Modjo, Dust, and Livestorm
- Translate business needs into technical solutions
- Own projects from scoping to deployment and iteration
- Ensure compliance with GDPR, CNIL, security, and data governance
WHAT YOU BRING
- Hands-on experience in Growth Ops, Marketing Ops, Revenue Ops, or automation, ideally in B2B SaaS or a scale-up
- Strong proficiency with n8n and complex, multi-tool workflows
- Ability to translate business challenges into tech solutions
- Familiarity with CRM systems, prospect data, scraping, enrichment, and scoring
- Proven record of impactful automation projects
- Practical experience using AI tools and supporting adoption
- Strong communication and project management skills
- Autonomy, curiosity, and an ownership mindset
- Professional working proficiency in English
- Bonus: Experience with SEO, SEA, or the broader acquisition funnel
🛠️ TOOLS AND ENVIRONMENT
You’ll use tools like n8n, Salesforce, Modjo, Dust, and Livestorm and experiment with solutions such as Cursor, Claude Code, and MCPs.
WHAT YOU CAN EXPECT
- A role combining Growth, automation, data, and AI
- End-to-end ownership with measurable business impact
- Opportunity to build systems from scratch
- Key role in shaping automation and AI practices
- Close collaboration with cross-functional teams
- A demanding, supportive, execution- and learning-focused environment
📍 LOCATION AND WORKING MODEL
Permanent position based in Paris on a hybrid basis
🔎 OUR RECRUITMENT PROCESS
- Talent Acquisition interview (30 min, remote)
- Hiring Manager interview (1 hour, remote)
- Case study & debrief (1 hour, remote)
- Final interview with a Marketing leader (45 min, remote)
- Team-fit interview (1 hour, in person)
🌈 OUR COMMITMENT TO DIVERSITY AND INCLUSION
Pennylane is committed to an inclusive, supportive work environment with equal opportunities for all candidates, regardless of background, gender, religion, sexual orientation, disability, or any other personal characteristic.
If this role excites you and you believe you could add value, we encourage you to apply—even if you do not meet every requirement.
⚠️ IMPORTANT INFORMATION FOR CANDIDATES
Please apply only through Pennylane’s official channels. Our communications come from addresses ending in @pennylane.com or @pennylane-partners.com.
We will never request payment or financial information at any stage of the recruitment process.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN
base pay range per year: $153,000 - $213,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence.
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
·
Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: United Kingdom
Workplace: Remote
You'll make Coder easy to buy, deploy, integrate, and operate at the world's largest organizations. Partnering with another Product Manager in the Enterprise Experience theme, you'll help enterprises confidently adopt safe, secure, and governed development environments for humans and AI agents alike.
You'll co-own the strategy for making Coder a first-class citizen in complex enterprise ecosystems. You'll work with engineering, security, sales, and customer-facing teams to turn enterprise challenges into product capabilities, removing barriers to adoption and ensuring Coder scales reliably in demanding environments.
What you'll do
- Co-own the Enterprise Experience charter with another Product Manager, sharing responsibility for strategy, prioritization, execution, and outcomes
- Define and evolve the product strategy for enterprise readiness, turning customer needs and market expectations into a clear roadmap
- Identify and eliminate technical, security, compliance, and operational barriers preventing enterprises from adopting Coder
- Shape how Coder is deployed and operated at scale, including reference architectures, high availability, upgrades, and lifecycle management
- Drive integrations with enterprise systems for identity, access management, application lifecycle management, reporting, and collaboration
- Translate enterprise security, compliance, and governance requirements into product capabilities that enable safe development for humans and AI agents
- Engage directly with enterprise customers and field teams, distinguishing recurring product needs from one-off requests
- Lead strategic customer conversations, including executive roadmap reviews, technical evaluations, and enterprise deployment discussions
What we're looking for
- 5+ years building software products end-to-end with clear customer and business outcomes, including at least 3 years on developer-facing, infrastructure, or enterprise platform products
- Experience building products for enterprise IT, platform engineering, DevOps, or security teams
- Understanding of how large organizations evaluate, procure, deploy, and operate software
- Familiarity with enterprise infrastructure concepts such as Kubernetes, cloud and hybrid deployments, high availability, authentication, authorization, and lifecycle management
- Experience translating enterprise security, compliance, or regulatory requirements into practical product capabilities
- Understanding of enterprise integrations, interoperability, and the trade-offs between security, compatibility, and maintainability
- Experience working with enterprise engineering organizations where developers are the users but platform engineering, IT, security, and leadership influence purchasing decisions
- Strong technical foundation enabling credible collaboration with engineers and architects
- Ability to operate independently, collaborate effectively with other PMs, and drive complex initiatives with minimal oversight
- Willingness to travel occasionally for customer and industry engagements
Bonus tacos if you have
(Tacos? Ask us how we say thanks by giving tacos!)
- Experience with security and compliance frameworks such as SOC 2, ISO 27001, FedRAMP, HIPAA, or GDPR
- Hands-on familiarity with Kubernetes, infrastructure-as-code, or enterprise deployment architectures
- Experience building products for regulated industries such as financial services, healthcare, or government
- Familiarity with air-gapped environments, sovereign AI, data residency, or self-hosted AI infrastructure
- Experience with enterprise procurement, technical sales enablement, or complex customer evaluations
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Intellias
Meet your recruiter
Jeison Arturo Rios Castano
jeison.rioscastano@intellias.com
https://www.linkedin.com...
Vacancy details
Test Engineering
Manual Test Engineering Lead
Lead
Colombia, Poland, Portugal, Spain, United States
Remote
APPLY NOW
REFER A FRIEND
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
What project we have for you
This QA leader currently manages a small offshore mostly manual QA team and provides automated testing infrastructure, AI test case generation and synthetic healthcare test data generation to the engineering teams. I was having him transition that offshore team into an SDET team focused on enabling test automation while helping the engineering team take on all test case creating outside of end-to-end testing.
What you will do
Offer and explain complex ideas at a level appropriate to the audience, considering their experience and background
Review and analyze product requirements to ensure that they are testable
Decompose and estimate stories and specifications into tasks and allocate them to team members
Plan implementation of the features and achieve the overall objectives, considering relevant dependencies and risks
Design and support test strategy, test plans, and required testing documentation
Actively apply experience-based test design techniques
Support and update traceability matrices and testing guidelines per projects
Perform functional and non-functional testing according to project needs
Analyse test results, report on the product’s quality and present the information to the stakeholders
Lead problem-solving efforts to identify and resolve defects
Lead, mentor, and train the testing team
What you need for this
Required skills:
6+ years of hands-on experience in Software Quality Assurance, including leadership/managerial experience
Experience working in an agile development environment and familiarity with agile methodologies
Excellent knowledge of testing types such as functional, change-related, and non-functional
Knowledge Test Management Tools such as TestRail, Zephyr, or Xray for organizing and tracking test cases, test runs, and defects
Network protocol analyzers like Wireshark or Fiddler to inspect network traffic and troubleshoot network-related issues
Solid practical experience in testing APIs using Postman, Swagger, DevTools, Ready API, etc.
Experience with version control systems and CI/CD tools (git, GitLab Pipelines/Jenkins or similar), Linux CLI
Excellent problem-solving and critical thinking skills, with the ability to troubleshoot and debug complex issues
Strong communication skills, with the ability to effectively communicate testing status, issues, and recommendations to technical and non-technical stakeholders
Good level of autonomy with many assignments. Possesses at least basic job prioritization skills
Experience in arranging on-the-job training, coaching, and mentoring of team members
Hands-on experience delivering products in Healthcare or a related domain – e.g., pharma, medical devices, nutrition or fitness/sports applications
Understanding of the specifics of working with health-related data and regulated environments (e.g., GDPR, HIPAA, MDR) is a strong plus
Will be a plus:
Experience with SQL and NoSQL
Experience with cloud-based testing and deployment, AWS/Azure/GCP services
Knowledge of continuous integration and delivery (CI/CD) practices
Experience with performance testing and analysis
An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: New York City, NY
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time).
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$230,000
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment.
This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm.
Your Future Role within QRT
Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform.
Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams.
Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows.
Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure.
Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate.
Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow.
Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems.
Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity.
Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities.
Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments.
Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value.
Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement.
Your present skillset
At least five years of experience developing and supporting production-grade software.
Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++.
Experience designing maintainable, testable and scalable applications and services.
A strong understanding of software design principles, data structures, algorithms and engineering fundamentals.
Experience building RESTful APIs, distributed systems or event-driven architectures.
Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines.
Experience with public cloud technologies, preferably AWS.
An understanding of messaging technologies such as Kafka or RabbitMQ.
Experience considering reliability, observability, performance and failure recovery when designing production systems.
Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs.
The ability to work effectively with both technical and non-technical stakeholders.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.
Location: London; United States; New York; United Kingdom
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
ElevenLabs moves fast - by design. We run lean, we bias toward action, and we trust our people to figure things out. That's how we've built world-leading AI products in three years with a fraction of the headcount of our peers. But speed at 200 people and speed at 1,000+ people are different challenges, and the systems, habits, and connective tissue that let a company move fast without breaking things don't build themselves.
As our Company Operations Lead, you'll own the infrastructure that lets ElevenLabs keep its velocity as it scales. Not by adding process for process's sake - but by building the right systems, in the right places, at the right time, so that the rest of the company can focus on what they do best. You'll establish the operating layer that keeps a 50-country, hybrid organization coherent; drive the strategic planning cadence that keeps leadership aligned; and deploy a lean team of strategic generalists against the company's most urgent cross-functional challenges.
You’ll be responsible for:
- Operating Cadence: Running the planning and alignment cycles that keep the company pointed in the right direction. This includes OKR planning, workforce, and headcount planning.
- Operating System: Building and maintaining the infrastructure layer that lets the company move faster. Systems of record, org taxonomy and governance, and the knowledge management systems that ensure information flow effectively across our remote-first team.
- AI Enablement & Agentification: Ensuring every team at ElevenLabs has the tools, access, and knowledge to work effectively with AI. You'll own the internal AI enablement framework - managing tool access and rollout, identifying where agents and automation can accelerate how functions operate, and building the learning opportunities and champions programmes that drive deep adoption. You'll work closely with Security, IT, and the Automations team to ensure what gets built is built right.
- Operations Centre of Excellence: Defining what great operations looks like at ElevenLabs and embedding it across the company. You'll set the blueprint that makes operational excellence repeatable and deploy the team as embedded operators inside other functions, standing up best practices, up-skilling teams, and handing off cleanly once the work is done.
REQUIREMENTS
We do not require formal experience, certifications, or degrees. We do require:
- Proven experience building and leading a Strategy & Operations or BizOps function at a high-growth technology company - ideally through a meaningful scaling inflection (Series B–D trajectory or equivalent).
- Track record of standing up functions and systems from scratch and handing them off, rather than owning a permanent queue.
- Structured problem-solving background - strategy consulting, a BizOps or Chief of Staff seat with genuine strategic scope, or an operator role that required both systems-building and executive influence.
- Strong AI and tooling fluency - you should be pushing the organisation on what's possible with AI enablement, not chasing it.
- Exceptional stakeholder management: you can partner with founders and Leads and earn trust quickly in a flat, high-velocity environment.
Bonus:
- Experience inside a company that scaled through a 200 → 2,000+ person inflection.
- Background that spans both consulting and operator roles - you've done the thinking and the building.
- Familiarity with knowledge management, AI agentification, or internal tooling as an operational discipline.
LOCATION
This role is remote. London or New York preferred.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: New York
Workplace: OnSite
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
This is an exciting opportunity to anchor ElevenLabs' New York office -our second-largest hub. As Workplace Experience lead for our SoHo space, you'll be the go-to person for our rapidly growing US team and a central hub for the New York AI community.
You'll own the day-to-day workplace experience: keeping operations running smoothly, maintaining white-glove standards, and driving initiatives that elevate employee experience, optimize costs, and scale our infrastructure as we grow. You'll ensure our office is a place where people love to work. This fully in-office role is based in SoHo with on-site presence.
Perfect for a proactive, high-energy individual who thrives at the center of the action and wants to grow their career in a fast-paced AI company.
IN THIS ROLE, YOU WILL:
- Be the Hub & Culture Driver: Serve as the main point of contact for the office, welcoming guests, leading onboarding, and boosting team culture through curated food/beverage programs, social rituals, and office perks.
- Run Daily Operations & Vendors: Manage all day-to-day workplace logistics—including cleaning, maintenance, security, and shipping—while owning vendor relationships from contract negotiations to performance management.
- Optimize Space & Landlord Relations: Partner with building management to maintain facilities, establish white-glove service standards, and manage ongoing space planning, floor plans, and seating charts to support a growing team.
- Support Events & VIP Visitors: Coordinate logistics for internal and external events—such as AI hackathons, team offsites, and all-hands meetings—while ensuring a high-touch, premium experience for visiting executives and clients.
- Own Onboarding & Internal Comms: Partner with People Ops to continuously improve the local onboarding experience (tours, swag), manage all office-related communications, and maintain clear SOPs and workplace documentation to ensure a seamless experience as the team grows.
REQUIREMENTS
- Location & Presence: Based in New York, with a full-time presence (5 days a week) acting as the visible host, culture champion, and heartbeat of our office space.
- Workplace Experience Mindset: Proven track record in shaping an exceptional, hospitality-driven workplace environment. Thrives in dynamic, high-visibility settings where empathy, polish, and sound judgment elevate the day-to-day employee journey.
- High-Touch Stakeholder Engagement: Exceptional interpersonal and communication skills, comfortable acting as a gracious ambassador for the company across all levels—from welcoming clients and candidates to partnering closely with senior executives and legal partners.
- Frictionless Workflow & Innovation: A proactive, human-centered approach to problem-solving, with a knack for anticipating team needs, eliminating daily workplace friction, and introducing modern workplace rituals and processes that enhance productivity.
- Culture, Community & Connection: Passion for community building, with hands-on experience designing and executing engaging internal events, celebrations, and employee touchpoints—all while negotiating effectively with vendors to deliver premium, memorable experiences sustainably.
- Environment & Vendor Stewardship: Experience curating an inspiring, seamless physical workspace—partnering with building management and premium vendors to ensure facilities, amenities, and office resources actively support team comfort, focus, and productivity.
WHY THIS ROLE?
This is an exciting opportunity to lead workplace experience at one of the world’s top AI companies. You’ll have the autonomy to shape our local culture, scale a critical hub, and directly impact how our team and the broader AI community experience ElevenLabs every day.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
- Evolve the Medusa-based commerce backend: custom modules, data models, module links, API routes, workflows. - Extend Medusa Admin with widgets and custom routes.
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT THE TEAM
The Retail Media team is building a platform for connecting ecommerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things.
The Retail Media team is new and looking for Senior engineers who will help us build backend services, integrate with data warehouse and other services managing results order, and more.
ABOUT THE JOB
The primary focus of this job is to design, deliver & maintain web services in close collaboration with other engineers.
- Build / deploy / support services using Python and FastAPI
- Write AWS CloudFormation scripts, Jenkins jobs, Github actions following best industry standards
- Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
- Implement CI/CD pipelines and separate stability testing
- Collaborate with technical and non-technical business partners to develop / update functionalities
- Communicate with stakeholders within and outside the team
REQUIREMENTS
- Strong computer science background & familiarity with networking principles.
- Experience in designing, developing & maintaining highload real-time services.
- Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources.
- Hands-on experience with setting up and improving CI/CD pipelines.
- Proficiency in Python.
- Experience in server-side coding for web services, and a good understanding of API design principles.
- Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty.
- Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf.
- Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena).
- Experience with any of the major public cloud service providers: AWS, Azure, GCP.
- Experience collaborating in cross-functional teams.
- Excellent English communication skills.
- Ideal candidate has previous experience building ad tech solutions.
- We're looking for someone who can overlap with 11:00–16:00 UTC — to keep collaboration smooth across time zones.
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global Infrastructure organization. Owns delivery of company-wide rewards programs into Infrastructure, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of Infrastructure priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global program owners and agreed through established governance, preserving one coherent Nebius operating model.
Key Responsibilities:
Owns end-to-end delivery of Nebius' global rewards programs for Infrastructure, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization.
Serves as a trusted advisor to senior Infrastructure leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for Infrastructure needs with stewardship of company-wide consistency, fairness, affordability, and governance.
Leads evaluation of new and evolving Infrastructure roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners.
Leads Infrastructure delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes.
Monitors external market trends and internal Infrastructure workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners.
Applies Nebius' global equity frameworks across Infrastructure, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels.
Builds and scales local compensation policies as Infrastructure expands into new countries and regions, ensuring new-market pay practices align with global governance while reflecting local market realities.
Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting Infrastructure-specific signals to enterprise priorities and clear decisions.
Tracks delivery, adoption, and effectiveness of rewards programs in Infrastructure, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders.
Acts as the two-way bridge between Infrastructure and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within Infrastructure. Leads manager enablement and guides less experienced rewards professionals.
Requirements:
Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Engineering, Infrastructure, or other technical functions in a complex multinational organization.
Advanced, wide-ranging knowledge of base salary, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in technical/infrastructure reward models and international, multi-country pay practices.
Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations.
Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance.
Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance.
Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, and business intelligence tools to drive scalable outcomes.
Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Workplace: remote
Location
:
San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite)
What we expect
:
Strong Python development experience, including backend services and data processing pipelines
REST APIs and microservices (Django/FastAPI or similar)
AWS Cloud experience, including application deployment and troubleshooting
Terraform / Infrastructure as Code
Docker, Kubernetes, and GitLab CI/CD pipelines
Linux, shell scripting, and production troubleshooting
SQL and relational databases
Experience with AI-assisted software development tools
Understanding of scientific/data processing workflows and HPC concepts
Strong communication skills and ability to work directly with scientists to understand workflows and resolve technical issues
Nice to have
:
Hands-on Slurm, GPU workloads, and HPC administration
Bioinformatics or scientific computing experience in Pharma/Biotech
MongoDB, Spark, or other data technologies
Scientific data processing pipelines
We offer
:
Competitive compensation
Remote or office work
Flexible working hours
Continuous education, mentoring, and professional development programs
A team with excellent tech expertise
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact.
You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and customer success planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re a builder who loves helping customers solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role.
This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Drive workflow adoption and value realization for a book of named accounts, ensuring customers expand their use of Notion and as a result, Notion sees high NRR
- Partner closely with the Solutions Consultant on account strategy for expansion and renewal, including owning the renewal opportunity for flat and at-risk customers
- Shape customer outcomes, strengthen executive and team-level partnerships, and contribute directly to predictable revenue through retention, renewal, and expansion impact
- Design and deploy workflows that solve specific business problems as a build-beside partner to the customer, translating goals into durable systems in Notion
- Partner with Solutions Consultants on account strategy, customer planning, and identifying and qualifying expansion opportunities within existing accounts
- Co-define, build, and manage against customer success plans that help every customer achieve their desired objectives and realize measurable value
- Learn Notion’s product and the broader AI ecosystem inside and out so you can be the best build-beside partner for customers navigating new ways of working
- Innovate and iterate on Outcomes Architect programs that retain and grow customers while mitigating churn or contraction risk
SKILLS YOU'LL NEED TO BRING:
- 3+ years experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment
- Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans
- Technical fluency and genuine comfort building live in software—you can co-design, configure, and troubleshoot with customers in the room
- Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy
- Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems
- You’re obsessed with AI, constantly building with the newest tools and learning new ways of working
NICE TO HAVES:
- Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software
- Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path
- Familiarity with usage-based or consumption-based models and the ability to connect adoption patterns to commercial outcomes
- Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams
- Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale.
- Fluency in additional languages
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €94,000-€105,000per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Pacing
is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean.
We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments.
The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives.
Key responsibilities
Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads
Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions
Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion
Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work
Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications
Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work
Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop
Use Claude to build automations to allow teams to have broader and deeper impact
Minimum qualifications
Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects
Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed
Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed
A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work
Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome
Sound judgment and discretion with confidential and sensitive information
Preferred qualifications
Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization
Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment
Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research
Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations
Experience managing published commitments or high-visibility public releases
Experience building a program from zero and reshaping it as the strategy evolved
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
—
$365,000 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.
ГибридParis
УдалённоseniorRemote Canada
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