Location: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
Why Technology at loveholidays?
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you’ll have:
You’ll join our Web Infrastructure team, reporting to the Senior Lead Engineer. The team builds the shared foundations behind loveholidays’ customer experiences, spanning our web and app platforms, design system, edge computing and experimentation.
You’ll help shape these foundations by:
- Building platforms that enable market-leading web performance and accessibility by default, giving product teams the foundations to deliver fast https://medium.com/loveholidays-tech/the-evolution-of-the-loveholidays-web-platform-9b34f59c8c5a, inclusive customer experiences.
- Evolving our design system to help engineers, designers and AI agents deliver consistent, high-quality experiences.
- Improving developer experience and reliability through faster builds https://tech.loveholidays.com/build-baby-build-276e445f539e, actionable error reporting https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc and tools that make systems easier to develop and operate.
- Owning problems from discovery through delivery by working directly with internal customers to identify priorities and validate that solutions meet their needs.
Your skillset:
- Strong frontend engineering and performance skills – you have deep experience with a modern frontend framework (we use Preact), TypeScript and CSS, and can diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance.
- Experience building shared frontend foundations – you’ve built and maintained robust and reusable design systems and developer tooling – managing governance, compatibility and providing clear documentation and migration paths for adopting teams.
- Accessibility engineering – you have experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing.
- Infrastructure ownership – you have experience operating production infrastructure through infrastructure as code tools, such as Terraform, with attention to safe changes, observability and reliability.
- Building systems for AI agents – you understand how clear interfaces, reusable capabilities, machine-readable context and automated validation help agents work reliably within defined constraints.
- Product engineering mindset – you’re comfortable with ambiguous problems, can challenge proposed solutions and weigh trade-offs, and use research, adoption metrics and performance data to guide decisions.
The interview journey:
1. TA screening - 30 mins
2. 1st stage interview with the Hiring Manager - 45 mins
3. Tech challenge - you can choose between a live and take home option
4. Final stage - consisting of discussions around three key areas
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
Our commitment to inclusion
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate.
Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams.
While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must.
WHAT YOU’LL DO
- Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements.
- Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack
- Empower the sales team with tools and knowledge to close deals quickly
- Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business
- Closely follow technical, legal, and policy developments in the generative AI space
WHAT YOU’LL NEED
- A J.D. and admission in good standing with at least one state bar
- 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company
- In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have
- Bias for action and a willingness to take ownership
- Growth mindset that prioritizes continuous operational improvement and service excellence
- Experience with scaling business processes globally and operating in environments that have achieved significant scale
- Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: San Francisco; Palo Alto; New York City
By applying to this role, you will be considered for engineering roles across all teams at Perplexity.
WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own product and platform systems for Computer
- Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
- Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
- Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
- Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.
QUALIFICATIONS
- 4+ years of professional software engineering experience.
- Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Kotlin, Swift, Rust, Java, or C++.
- Experience building and operating production systems at a meaningful scale.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Founded a company or initiative.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
We’re looking for a
Senior Product Manager
to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day.
What will I be doing?
Be the Product Manager for the Messenger, Fin’s most important channel
Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team.
Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement.
Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations.
Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact.
Evaluate impact through quantitative and qualitative measures, both in beta and after full release.
Own and maintain the quality of your product area, ensuring every release delivers world-class software.
Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver.
Be a leader in your team or projects by role-modelling our company values and R&D principles.
What skills do I need?
There is no minimum years of experience for this role. We’re interested in your impact, drive, and potential. Instead of years, we’ll be looking for evidence that you’ve applied and grown these skills:
Sharp Customer Focus & Problem Framing
- able to independently understand, define and articulate complex customer problems and opportunities using data analysis and qualitative inputs.
Compelling Roadmaps
- define the roadmap of features, products or areas of focus for your given area, communicating what, when and why to generate excitement with customers and the teamExcellent Product Judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product.
Build World-Class Product
- able to deeply collaborate with engineering and designers to quickly ship effective solutions. But, also able to independently accelerate the process leveraging AI.
AI Tech
- Able to understand AI systems and LLMs, assess feasibility and trade-offs, and make informed product decisions in close collaboration with engineering.
Technical fluency -
Comfortable engaging with engineers and customers on the modern tech stack — from APIs and SaaS infrastructure to low-code tooling and system architecture.
Outcome Oriented
- define, fight for and share progress against the customer and business impact of your product area or project.
Leadership
- Excellent communicator. High ownership. Ability to influence and drive alignment.
#LiHyrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: New York; Boston; Washington, D.C.
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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
- Collaborating across teams to maintain US Government compliance certifications and frameworks such as GovRAMP, FedRAMP, CJIS and CMMC.
- Helping to shape ElevenLabs’ Enterprise offering towards regulated industries such as Local and State Government, Defense and Finance.
- Building technical documentation to demonstrate our compliance to our customers throughout the stack.
- Assisting the sales team by responding to client security requests and managing compliance-related queries.
- Conduct risk assessments based on CIS or NIST frameworks, document findings, and help teams achieve compliance efficiently.
- Enhance compliance as code tooling to automate monitoring, reporting, and reduce friction for other teams to remain compliant.
REQUIREMENTS
- Experience in completing vendor security assessments and client security questionnaires in highly regulated industries, such as Government and Defense in the US.
- Strong technical expertise in managing and executing compliance, with hands-on experience using compliance management tools (e.g. Vanta).
- Proven ability to maintain and acquire certifications while managing audit readiness and documentation.
- Experience collaborating with cross-functional teams (sales, engineering, legal) to effectively communicate compliance requirements and ensure smooth operations.
- Experience with public cloud compliance (AWS, GCP, Azure) and automating compliance in cloud environments.
- Familiarity with integrating compliance tools into CI/CD pipelines to automate monitoring and reporting.
LOCATION
This role is remote-first, so it can be executed from the United States, with the ability to operate in Eastern (ET) timezones required. If you prefer, you can work from our offices in New York.
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: Ukraine; Spain; Poland; Portugal; Romania
About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
Now we are looking for a
Senior ML Operations Engineer
to join us as part of our team.
About the role
As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.
About the project
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.
Team composition
1 Engineering Manager, 4 Senior ML Ops Engineers
Work Environment
The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.
As a qualified expert, You will
Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
Provide mentorship, technical guidance, and perform code reviews for team members.
Design and deliver on projects end-to-end with little to no guidance.
Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
Support the vision and values of the company through role modeling and encouraging desired behaviors.
Participate in various cross-functional company initiatives and projects as requested.
Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.
We’re looking for you if you have
Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
4+ years of experience designing and building distributed software systems and architectures.
3+ years of hands-on experience deploying and operating Machine Learning services in production.
Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
Demonstrated experience with SQL and NoSQL database design and implementation.
Ability to decompose complex problems into iterative, well-defined solutions.
Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
Ability to be a team player who can also work independently.
Experience working across multiple development teams is a plus.
Bonus points
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
Proficiency in GitOps practices and CI/CD pipeline development and management.
Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
API development with FastAPI or similar frameworks.
Java programming experience is a plus.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Interview with the recruiter
Live Coding (up to 30 min)
Tech Interview: ML Fundamentals, Software Engineering (up to 60 min)
ML System Design Interview (up to 45 min)
Interview with Engineering Manager (60 min)
Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment.
We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams.
If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you.
Your Challenges & Responsibilities:
DBaaS Architecture:
Design and implement a self-service platform based on
Terraform
and
Ansible
, enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product.
Scaling ClickHouse:
Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load.
Data Platform & Analytics Support:
Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team.
Reliability as Code:
Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases.
Stack Modernization:
Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads.
Expertise & Mentorship:
Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems.
Our Tech Stack:
Databases
: PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka
Data & Analytics:
Apache Airflow, Redash (Infrastructure & Integration).
Infrastructure:
Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud.
Automation & IaC:
Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit.
Observability
: VictoriaMetrics, Grafana, Loki.
Why CloudLinux?
Culture:
A Remote-first company with an "Employees First" principle. We value results, not hours in the office.
Impact:
Your architectural decisions will determine the stability of services used by thousands of companies around the world.
Growth:
We support professional development and pay for training and conferences.
Requirements
What We Expect From You:
AI-Augmented Engineering:
You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges.
Deep PostgreSQL Expertise (5+ years):
You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load.
ClickHouse Mastery:
Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level.
Engineering Mindset (SRE/DevOps):
You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in
Python
or
Go
for automation are a huge plus.
Hybrid Environment Experience:
You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage).
Systems Approach:
You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery.
English:
upper-intermediate or higher - to ensure clear communication of progress within the teams
Nice to Have:
Experience building an Internal Developer Platform (IDP).
Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator).
Experience working in Cloud and Hosting providers on similar services.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: San Francisco, CA; New York, NY
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.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements.
- Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
- Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
- Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements.
- Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.
- Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.
WHAT YOU'LL BRING
- 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work.
- Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).
- Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.
- Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans.
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.
- Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.
- Degree in Computer Science or a related field, or equivalent professional experience.
EVEN BETTER…
- Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments.
- Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.
- Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).
- Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.
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 through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- 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 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 even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team.
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services
- Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates
QUALIFICATIONS
- 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on
- Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements within your team and adjacent systems
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; clear written communication is how you scale your work across the team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
ON-CALL
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
WHAT TO EXPECT
First 30 days
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
First 90 days
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction.
One year outlook
You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco; Palo Alto
PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY.
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating.
WHAT YOU'LL DO
- Anticipate opportunities for innovation and value in enterprise industries.
- Envision new experiences and deliver a long-term vision.
- Understanding of levers for product-led growth and retention.
- Work closely with engineering and design to align product expectations and capabilities.
- Work with research to evaluate and steer nondeterministic models into the high value outcomes for users.
- Work with data and user research to understand quantitative and qualitative data.
- Have conviction to make difficult product decisions in the face of uncertainty.
QUALIFICATIONS
- Strong experience with product management and leadership.
- Strong experience working with data and metrics.
- Experience with productivity and knowledge work products.
- Experience with prototyping and data visualization.
- Experience with building data driven flywheels for iterative improvement.
- Thrives in a small, agile team: has initiative and desire for ownership.
- 4+ years of product management experience.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: Georgia
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.
WHAT YOU WILL DO
- Collaborate with cross-functional teams to design and build AI Agentic solutions.
- Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
- Take ownership of assigned tasks and deliver high-quality, maintainable code.
- Manage backend tasks while contributing to frontend development.
- Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
- Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.
EXPERIENCE AND SKILLS YOU NEED TO JOIN US
- Experience in full-stack development using mainly NodeJS (with TypeScript).
- At least 1 year of experience in AI Engineering role.
- Versatile in technology use, comfortable working across backend and frontend tasks.
- Track record in staying current with AI and Agentic technologies, including best practices and architecture.
- Openness to client collaboration, fostering clear communication and effective partnership.
- Strong commitment to learning new technologies and swiftly adapting to new products and APIs.
- Understanding of Retrieval-Augmented Generation (RAG) and its applications.
- Familiarity with Multi-Agents concept, tools usage and MCP Servers.
- Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic).
- Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience.
- Understanding of prompt design principles and an ability to create effective prompts.
- Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP).
- Basic experience with CI/CD pipelines and DevOps best practices.
- Competence in REST API usage and efficient database integration.
- Fluency in English language.
IT WOULD BE GREAT IF YOU ALSO HAVE
- Basic knowledge of machine learning principles.
- Understanding Python source code.
- Experience with React.
- Experience with model fine-tuning and distillation.
- Familiarity with LLM evaluation.
- Experience with Model Context Protocol (MCP).
- Experience with graph databases.
- Familiarity with other programming languages and frameworks.
- Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Paris, France
Workplace: OnSite
🤖 WHO WE ARE
We’re building Mo — a health companion for everyone.
We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.
Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖.
We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe.
🚀 WHAT KEEPS US UP AT NIGHT
We’re building a medical agent that works — reliably, safely, and at scale.
You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on:
- 💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared.
- 🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions.
- ➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in)
If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently.
🎯 IS IT YOU WE’RE LOOKING FOR?
We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare.
- You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people.
- You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise
- You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better.
- You’ll have significant influence on system architecture and code quality
- You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).
You would be a good fit in Mo if most of this sounds like you:
- Applied background in software engineering and systems architecture
- Experience with traditional ML, or LLMs, or ML dev ops is a big plus.
- Product-minded: you want your solutions to be used, and impactful
- Self-directed, pragmatic, driven, hard working
- Humble and still willing to grow (no matter your seniority!)
- Collaborative, enthusiastic about teamwork, learning, and teaching
- Fluent in English (no need to speak French!)
- Ex-founders are typically great fit in our team
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🤘 HOW WE DO IT ?
We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read.
People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
HOW WE WORK: OUR LEADERSHIP PRINCIPLES
- Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else.
- Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results.
- Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously.
- Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
#LI-DNP
Location: Morocco
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English and Arabic (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Mexico City
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Customer Success Executive with Financial Services experience, who will be working with the LATAM Market. Responsibilities: Maintain and develop long-term relationships with strategic customers of the Corporate & Enterprise segment across the US region.Act as a trusted advisor of assigned accounts and communicate with them on different levels, including C-level executives.Control and audit delivery processes in implementation projects for Corporate & Enterprise customers, identify early red flags to prevent delivery and launch-related issues.Help customers achieve their desired outcomes, value realization, and high ROI.Grow customers' portfolio through zero churn and active cross and upsells.Maintain a higher than industry average NPS score. Requirements:Minimum 5+ years of B2B account management or project management experience working with Enterprise accounts in the US (Financial Services, specifically Credit Unions or Banks, experience is required).Experience working with CRM, BPM, LC/NC, AI solutions will be a preference.English language skills and executive-level communication.Desire to learn and adapt fast according to a changing market environment.Customer-centric expert with a track record in delivering customer success. What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco.
This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale.
We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers.
You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators.
This role is a fundamental and critical part of the team for a market-defining company in its early stages.
WHAT YOU’LL DO
- Work alongside our research team to define new AI applications that solve customer needs and drive business value
- Collaborate closely with engineering and design to productize research and continuously improve existing tools
- Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features
WHAT YOU’LL NEED
- 1+ years of direct experience with SQL, python, code generation tools, and version control best practices
- 4+ years of product management experience
- Familiarity with the current state-of-the-art ML capabilities and ML products
- Experience working with fast-moving teams and building products from scratch
- Passion for seeing research through from initial conception to ultimate application
- Excellent written and verbal communication skills
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
УдалённоseniorRemote; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
San Francisco; Palo Alto; New York City
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоNew York; Boston; Washington, D.C.; This role is remote-first, so it can be executed from the United States, with the ability to operate in Eastern (ET) timezones required
УдалённоseniorUkraine; Spain; Poland; Portugal; Romania
УдалённоseniorWarsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
ОфисSan Francisco, CA; New York, NY
УдалённоseniorSeattle, WA
San Francisco; Palo Alto
seniorGeorgia
ОфисParis, France
УдалённоseniorMorocco
География найма не уточнена
ГибридMexico City
География найма не уточнена
Dublin, Ireland
УдалённоseniorСША; Lastly, the provided range is the expected salary for candidates in the U.S
